Pi Intercom
nicobailon/pi-intercom
Streamline session-to-session coordination with pi-intercom.
Every Intercom resource as a typed CLI with offline sync and EU/AU regions.
$ npx skills add mvanhorn/printing-press-library --skill pp-intercom -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mvanhorn/printing-press-library pp-intercom --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-skills/pp-intercom .claude/skills/pp-intercom && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pp-intercom" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-intercom into .claude/skills/pp-intercom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-intercom", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-intercomType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mvanhorn/printing-press-library --skill pp-intercom -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mvanhorn/printing-press-library pp-intercom --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cli-skills/pp-intercom .agents/skills/pp-intercom && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pp-intercom" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-intercom into .agents/skills/pp-intercom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-intercom", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mvanhorn/printing-press-library --skill pp-intercom -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mvanhorn/printing-press-library pp-intercom --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cli-skills/pp-intercom .cursor/skills/pp-intercom && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pp-intercom" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-intercom into .cursor/skills/pp-intercom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-intercom", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mvanhorn/printing-press-library.git --path cli-skills/pp-intercom--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mvanhorn/printing-press-library --skill pp-intercom -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mvanhorn/printing-press-library pp-intercom --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cli-skills/pp-intercom .gemini/skills/pp-intercom && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pp-intercom" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-intercom into .gemini/skills/pp-intercom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-intercom", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mvanhorn/printing-press-library pp-intercomInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mvanhorn/printing-press-library --skill pp-intercom -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .github/skills && cp -r skills-src/cli-skills/pp-intercom .github/skills/pp-intercom && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pp-intercom" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-intercom into .github/skills/pp-intercom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-intercom", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mvanhorn/printing-press-library --skill pp-intercom -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mvanhorn/printing-press-library pp-intercom --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cli-skills/pp-intercom .opencode/skills/pp-intercom && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pp-intercom" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-intercom into .opencode/skills/pp-intercom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-intercom", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pp-intercomEvery Intercom resource as a typed CLI with offline sync and EU/AU regions.
Pp Intercom is an agent skill from mvanhorn/printing-press-library. Every Intercom resource as a typed CLI with offline sync and EU/AU regions. Trigger phrases: search intercom conversations, tag intercom conversations in bulk, intercom contact 360, intercom SLA report, pull intercom articles, use intercom-pp-cli, run intercom-pp-cli.
Its SKILL.md is about 10k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Intercom. The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7638ad4. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
goclaudenpxFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.intercom.ioAlso links to:
api.intercomFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
INTERCOM_ACCESS_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pp Intercom loads about 10k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 4,449 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, BashAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from mvanhorn/printing-press-library at commit 7638ad4, republished under its Apache-2.0 licence (© mvanhorn). 4,449 words, ~10,181 tokens.
.claude/skills/pp-intercom/SKILL.md (or your agent's skills folder).<!-- GENERATED FILE — DO NOT EDIT.
This file is a verbatim mirror of library/sales-and-crm/intercom/SKILL.md,
regenerated post-merge by tools/generate-skills/. Hand-edits here are
silently overwritten on the next regen. Edit the library/ source instead.
See the repository agent guide, section "Generated artifacts: registry.json, cli-skills/". -->
This skill drives the intercom-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:
$HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:npx -y @mvanhorn/printing-press-library install intercom --cli-onlyintercom-pp-cli --version$PATH for the agent/runtime that will invoke this skill.If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:
go install github.com/mvanhorn/printing-press-library/library/sales-and-crm/intercom/cmd/intercom-pp-cli@latestIf --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.
This CLI exposes the full Intercom REST API as a single Go binary. Every endpoint is a subcommand. A sync command mirrors conversations, contacts, companies, tickets, and articles into a local SQLite database so offline search and four headline transcendence commands — incident-tag, articles pull/push, contact 360, and conversations sla — answer the questions the API alone can't. Region-aware (--region us|eu|au) and built for agents (JSON-first, typed exit codes, MCP-mirrored).
Use intercom-pp-cli when you need to run the same Intercom operation across many records, when the official MCP doesn't reach your workspace (EU/AU), when you need offline analytics the API doesn't compute (first-response SLA, contact 360 joins), or when you're building an agent that triages, tags, or summarizes conversations and needs every Intercom action as a callable tool.
These capabilities aren't available in any other tool for this API.
conversations incident-tag — Tag every conversation mentioning a phrase in a time window with one safe-by-default command.
When an incident hits, tagging 50 conversations by hand is the bottleneck; this is the single command that closes the loop without spreadsheets.
intercom-pp-cli conversations incident-tag --mentions "checkout fails" --since 24h --tag incident-2026-05-24 --applyarticles pull — Flatten every help-center article into a markdown tree you can edit in git, then push changes back.
Lets docs teams version-control help-center content alongside product code; multilingual articles land as sibling files.
intercom-pp-cli articles pull --to ./articles/contact 360 — One nested payload joining a contact across companies, conversations, tickets, notes, and tags.
Replaces 4-6 separate API calls and a mental merge; this is the lookup an agent makes before every triage decision.
intercom-pp-cli contact 360 mei@example.com --agentconversations sla — First-response and resolution-time metrics grouped by team or admin, computed over the local store.
Replaces the weekly export-to-spreadsheet ritual; the API alone can't compute this in one call.
intercom-pp-cli conversations sla --group-by team --metric first-response,resolution --since 7d --agentadmins — Everything about your Admins
intercom-pp-cli admins list — You can fetch a list of admins for a given workspace.intercom-pp-cli admins list-activity-logs — You can get a log of activities by all admins in an app.intercom-pp-cli admins retrieve — You can retrieve the details of a single admin.ai — Manage ai
intercom-pp-cli ai create-content-import-source — You can create a new content import source by sending a POST request to this endpoint.intercom-pp-cli ai create-external-page — You can create a new external page by sending a POST request to this endpoint.intercom-pp-cli ai delete-content-import-source — You can delete a content import source by making a DELETE request this endpoint.intercom-pp-cli ai delete-external-page — Sending a DELETE request for an external page will remove it from the content library UI and from being used for AIintercom-pp-cli ai get-content-import-source — Retrieve a content import sourceintercom-pp-cli ai get-external-page — You can retrieve an external page.intercom-pp-cli ai list-content-import-sources — You can retrieve a list of all content import sources for a workspace.intercom-pp-cli ai list-external-pages — You can retrieve a list of all external pages for a workspace.intercom-pp-cli ai update-content-import-source — You can update an existing content import source.intercom-pp-cli ai update-external-page — You can update an existing external page (if it was created via the API).articles — Everything about your Articles
intercom-pp-cli articles create — You can create a new article by making a POST request to https://api.intercom.io/articles.intercom-pp-cli articles delete — You can delete a single article by making a DELETE request to https://api.intercom.io/articles/<id>.intercom-pp-cli articles list — You can fetch a list of all articles by making a GET request to https://api.intercom.io/articles.intercom-pp-cli articles retrieve — You can fetch the details of a single article by making a GET request to https://api.intercom.io/articles/<id>.intercom-pp-cli articles search — You can search for articles by making a GET request to https://api.intercom.io/articles/search.intercom-pp-cli articles update — You can update the details of a single article by making a PUT request to https://api.intercom.io/articles/<id>.companies — Everything about your Companies
intercom-pp-cli companies create-or-update-company — You can create or update a company.intercom-pp-cli companies delete-company — Delete a single company. This endpoint does not permanently remove the company.intercom-pp-cli companies list-all — You can list companies.intercom-pp-cli companies retrieve-acompany-by-id — You can fetch a single company.intercom-pp-cli companies retrieve-company — You can fetch a single company by passing in company_id or name. `https://api.intercom.io/companies?intercom-pp-cli companies scroll-over-all — The list all companies functionality does not work well for huge datasetsintercom-pp-cli companies update-company — You can update a single company using the Intercom provisioned id.contacts — Everything about your contacts
intercom-pp-cli contacts create — You can create a new contact (ie. user or lead).intercom-pp-cli contacts delete — You can delete a single contact.intercom-pp-cli contacts list — You can fetch a list of all contacts (ie. users or leads) in your workspace.intercom-pp-cli contacts merge — You can merge a contact with a role of lead into a contact with a role of user.intercom-pp-cli contacts search — You can search for multiple contacts by the value of their attributes in order to fetch exactly who you want.intercom-pp-cli contacts show — You can fetch the details of a single contact.intercom-pp-cli contacts show-by-external-id — You can fetch the details of a single contact by external ID. Note that this endpoint only supports users and not leads.intercom-pp-cli contacts update — You can update an existing contact (ie. user or lead).conversations — Everything about your Conversations
intercom-pp-cli conversations create — You can create a conversation that has been initiated by a contact (ie. user or lead).intercom-pp-cli conversations delete — {% admonition type='warning' name='Irreversible operation' %} Deleting a conversation is permanent and cannot beintercom-pp-cli conversations list — You can fetch a list of all conversations.intercom-pp-cli conversations redact — You can redact a conversation part or the source message of a conversation (as seen in the source object).intercom-pp-cli conversations retrieve — You can fetch the details of a single conversation.intercom-pp-cli conversations search — You can search for multiple conversations by the value of their attributes in order to fetch exactly which ones youintercom-pp-cli conversations update — You can update an existing conversation.custom-object-instances — Everything about your Custom Object instances. {% admonition type="warning" name="Permission Requirements" %} From now on, to access this endpoint, you need additional permissions. Please head over to the Developer Hub app package authentication settings to configure the required permissions. {% /admonition %}
intercom-pp-cli custom-object-instances create — Create or update a custom object instanceintercom-pp-cli custom-object-instances delete-by-external-id — Delete a single Custom Object instance using the Intercom defined id.intercom-pp-cli custom-object-instances delete-by-id — Delete a single Custom Object instance by external_id.intercom-pp-cli custom-object-instances get-by-external-id — Fetch a Custom Object Instance by external_id.intercom-pp-cli custom-object-instances get-by-id — Fetch a Custom Object Instance by id.data-attributes — Everything about your Data Attributes
intercom-pp-cli data-attributes create — You can create a data attributes for a contact or a company.intercom-pp-cli data-attributes lis — You can fetch a list of all data attributes belonging to a workspace for contacts, companies or conversations.intercom-pp-cli data-attributes update — You can update a data attribute.download — Manage download
intercom-pp-cli download <job_identifier> — When a job has a status of complete, and thus a filled download_urlevents — Manage events
intercom-pp-cli events create-data — You will need an Access Token that has write permissions to send Events.intercom-pp-cli events data-summaries — Create event summaries for a user.intercom-pp-cli events lis-data — > 🚧 > > Please note that you can only 'list' events that are less than 90 days old.help-center — Everything about your Help Center
intercom-pp-cli help-center create-collection — You can create a new collection by making a POST request to https://api.intercom.io/help_center/collections.intercom-pp-cli help-center delete-collection — You can delete a single collection by making a DELETE request to https://api.intercom.io/collections/<id>.intercom-pp-cli help-center list — You can list all Help Centers by making a GET request to https://api.intercom.io/help_center/help_centers.intercom-pp-cli help-center list-all-collections — You can fetch a list of all collections by making a GET request to https://api.intercom.io/help_center/collections.intercom-pp-cli help-center retrieve — You can fetch the details of a single Help Center by making a GET request to `https://api.intercom.intercom-pp-cli help-center retrieve-collection — You can fetch the details of a single collection by making a GET request to `https://api.intercom.intercom-pp-cli help-center update-collection — You can update the details of a single collection by making a PUT request to https://api.intercom.io/collections/<id>.intercom-export — Manage intercom export
intercom-pp-cli intercom-export cancel-data — Cancel content data exportintercom-pp-cli intercom-export create-data — To create your export job, you need to send a POST request to the export endpoint `https://api.intercom.intercom-pp-cli intercom-export get-data — You can view the status of your job by sending a GET request to the URL `https://api.intercom.internal-articles — Everything about your Internal Articles
intercom-pp-cli internal-articles create — You can create a new internal article by making a POST request to https://api.intercom.io/internal_articles.intercom-pp-cli internal-articles delete — You can delete a single internal article by making a DELETE request to https://api.intercom.io/internal_articles/<id>.intercom-pp-cli internal-articles list — You can fetch a list of all internal articles by making a GET request to https://api.intercom.io/internal_articles.intercom-pp-cli internal-articles retrieve — You can fetch the details of a single internal article by making a GET request to `https://api.intercom.intercom-pp-cli internal-articles search — You can search for internal articles by making a GET request to https://api.intercom.io/internal_articles/search.intercom-pp-cli internal-articles update — You can update the details of a single internal article by making a PUT request to `https://api.intercom.me — Manage me
intercom-pp-cli me — You can view the currently authorised admin along with the embedded app object (a 'workspace' in legacy terminology).messages — Everything about your messages
intercom-pp-cli messages — You can create a message that has been initiated by an admin.news — Everything about your News
intercom-pp-cli news create-item — You can create a news itemintercom-pp-cli news delete-item — You can delete a single news item.intercom-pp-cli news list-items — You can fetch a list of all news itemsintercom-pp-cli news list-live-newsfeed-items — You can fetch a list of all news items that are live on a given newsfeedintercom-pp-cli news list-newsfeeds — You can fetch a list of all newsfeedsintercom-pp-cli news retrieve-item — You can fetch the details of a single news item.intercom-pp-cli news retrieve-newsfeed — You can fetch the details of a single newsfeedintercom-pp-cli news update-item — Update a news itemnotes — Everything about your Notes
intercom-pp-cli notes <id> — You can fetch the details of a single note.phone-call-redirects — Manage phone call redirects
intercom-pp-cli phone-call-redirects — You can use the API to deflect phone calls to the Intercom Messenger.segments — Everything about your Segments
intercom-pp-cli segments list — You can fetch a list of all segments.intercom-pp-cli segments retrieve — You can fetch the details of a single segment.subscription-types — Everything about subscription types
intercom-pp-cli subscription-types — You can list all subscription types. A list of subscription type objects will be returned.tags — Everything about tags
intercom-pp-cli tags create — You can use this endpoint to perform the following operations: **1.intercom-pp-cli tags delete — You can delete the details of tags that are on the workspace by passing in the id.intercom-pp-cli tags find — You can fetch the details of tags that are on the workspace by their id. This will return a tag object.intercom-pp-cli tags list — You can fetch a list of all tags for a given workspace.teams — Everything about your Teams
intercom-pp-cli teams list — This will return a list of team objects for the App.intercom-pp-cli teams retrieve — You can fetch the details of a single team, containing an array of admins that belong to this team.ticket-states — Everything about your ticket states
intercom-pp-cli ticket-states — You can get a list of all ticket states for a workspace.ticket-types — Everything about your ticket types
intercom-pp-cli ticket-types create — You can create a new ticket type. > 📘 Creating ticket types.intercom-pp-cli ticket-types get — You can fetch the details of a single ticket type.intercom-pp-cli ticket-types list — You can get a list of all ticket types for a workspace.intercom-pp-cli ticket-types update — You can update a ticket type. > 📘 Updating a ticket type.tickets — Everything about your tickets
intercom-pp-cli tickets create — You can create a new ticket.intercom-pp-cli tickets delete — {% admonition type='warning' name='Irreversible operation' %} Deleting a ticket is permanent and cannot be reversed.intercom-pp-cli tickets get — You can fetch the details of a single ticket.intercom-pp-cli tickets search — You can search for multiple tickets by the value of their attributes in order to fetch exactly which ones you want.intercom-pp-cli tickets update — You can update a ticket.visitors — Everything about your Visitors
intercom-pp-cli visitors convert — You can merge a Visitor to a Contact of role type lead or user. > 📘 What happens upon a visitor being converted?intercom-pp-cli visitors retrieve-with-user-id — You can fetch the details of a single visitor.intercom-pp-cli visitors update — Sending a PUT request to /visitors will result in an update of an existing Visitor. **Option 1.When you know what you want to do but not which command does it, ask the CLI directly:
intercom-pp-cli which "<capability in your own words>"which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.
intercom-pp-cli conversations incident-tag --mentions "checkout fails" --since 24h --tag incident-2026-05-24 --applySearch server-side, dry-run by default, --apply fans out tag mutations through the adaptive limiter.
intercom-pp-cli conversations sla --group-by team --metric first-response,resolution --since 7d --agent --select team,first_response_p50_minutes,resolution_p90_hoursLocal SQL over conversations + parts; --select narrows the nested payload so agents don't burn context.
intercom-pp-cli articles pull --to ./articles/Each article lands as <id>-<slug>.<locale>.md with YAML frontmatter; commit the directory to git, edit locally, then run intercom-pp-cli articles push --from ./articles/ to sync diffs back.
intercom-pp-cli contact 360 mei@example.com --agent --select contact.id,companies,open_conversations,recent_ticketsJoins five entities locally; replaces 4-6 separate API calls and removes the agent's need to template Intercom's nested search predicate.
intercom-pp-cli conversations list --agent --select conversations.id,conversations.state,conversations.assignee.id,conversations.tags.id,conversations.titleGenerated endpoint mirror; --select uses dotted paths to walk Intercom's nested envelope so agents don't load 30 KB per conversation.
Intercom uses Bearer access tokens (PAT-style). Export INTERCOM_ACCESS_TOKEN or run intercom-pp-cli auth set-token "<token>" to save it to your config. The CLI pins the Intercom-Version: 2.13 header on every request. Tokens are workspace-scoped; pick the right region with --region us|eu|au or INTERCOM_REGION.
Run intercom-pp-cli doctor to verify setup.
Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.
Pipeable — JSON on stdout, errors on stderr
Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:
intercom-pp-cli admins list --agent --select id,name,statusPreviewable — --dry-run shows the request without sending
Offline-friendly — sync/search commands can use the local SQLite store when available
Non-interactive — never prompts, every input is a flag
Explicit retries — use --idempotent only when an already-existing create should count as success, and use --ignore-missing only when a missing delete target should count as success
Commands that read from the local store or the API wrap output in a provenance envelope:
{
"meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
"results": <data>
}Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.
Agents should treat the CLI's path resolver as part of the runtime contract:
Use --home <dir> for one invocation, or set INTERCOM_HOME=<dir> to relocate all four path kinds under one root.
Use per-kind env vars only when a specific kind must diverge: INTERCOM_CONFIG_DIR, INTERCOM_DATA_DIR, INTERCOM_STATE_DIR, INTERCOM_CACHE_DIR.
Resolution order is per-kind env var, --home, INTERCOM_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.
config contains settings like config.toml and profiles. data contains credentials.toml, data.db, cookies, and auth sidecars. state contains persisted queries, jobs, and teach.log. cache contains regenerable HTTP/cache files.
Stored secrets live in credentials.toml under the data dir. Existing legacy config.toml secrets are read for compatibility and leave config.toml on the first auth write.
Run intercom-pp-cli doctor --fail-on warn to surface path and credential-location warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.
For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:
{
"mcpServers": {
"intercom": {
"command": "intercom-pp-mcp",
"env": {
"INTERCOM_HOME": "/srv/intercom"
}
}
}
}Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use INTERCOM_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing INTERCOM_HOME, or doctor will not find credentials left under the former root.
This CLI ships a self-capturing learning loop. The CLI does its own bookkeeping: every invocation is journaled locally, a failed flag followed by a corrected retry auto-derives a flag_alias candidate, and a teach on a query family without a playbook auto-synthesizes a playbook_candidate from the session's journal. Your job is judgment only: recall first, act on surfaced candidates, teach the final answer, playbook amend when you observe a correction. You never record failures by hand.
recall before any discoveryBefore list/search/drill commands on a new user question, run:
intercom-pp-cli recall "<user's question>" --agentThe response envelope:
{
"query": "...",
"normalized": "<normalized form>",
"query_entities": ["..."],
"found": true | false,
"match_score": 0.0,
"results": [
{ "resource_id": "...", "resource_type": "...", "venue": "...",
"confidence": 2, "entity_match": "exact|partial|unknown",
"source": "taught|preseed|pattern", "warnings": ["..."] }
],
"mismatches": [ /* only when --debug-mismatches */ ],
"warnings": [ /* top-level */ ],
"candidates": [
{ "id": 12, "class": "flag_alias | playbook_candidate",
"summary": "...", "sightings": 3, "last_seen": "...",
"rationale": "...",
"next_action": ["<trial command>", "intercom-pp-cli learnings confirm 12"] }
],
"playbook": {
"query_family": "...",
"playbook": {
"steps": [ { "cmd": "<command with {slot} substitution>", "purpose": "..." } ],
"entity_slots": ["$ENTITY"],
"expected_tool_calls": 3
},
"slots_resolved": { "$ENTITY": { "token": "<live token>", "canonical": "<canonical>" } },
"notes": "<workarounds + gotchas for this query family>"
},
"notes": "<duplicate surface for non-playbook callers>"
}Empty-store short-circuit: if the store has no learnings, playbooks, or candidates yet (recall finds nothing and learnings list and learnings candidates are both empty), skip recall for the rest of this session instead of taxing every query; resume recall-first once something has been taught.
Read candidates, playbook, notes, results[0], and warnings in that order:
if Candidates present (warnings include "candidates_present"):
-> candidates are try-then-confirm, never facts. Follow each candidate's
two-step next_action verbatim: run the trial command first, then run
`learnings confirm <id>` only after the trial verified the behavior.
Reject a wrong candidate with `learnings reject <id>`.
-> NEVER re-teach something recall surfaced as a candidate; confirm or
reject that candidate instead of teaching a duplicate.
-> candidates ride alongside playbooks and resource hits, not instead of
them; continue with the branches below after acting on them.
if Playbook present:
-> READ Playbook.notes verbatim FIRST (workarounds + gotchas the CLI surface doesn't expose)
-> replay Playbook.steps in order, substituting Playbook.slots_resolved entries
for the entity slot tokens. If a step's slot is unresolved, fall back to
discovery for that step only.
-> the Playbook's expected_tool_calls is a budget; if you find yourself running
materially more, record the divergence via `intercom-pp-cli playbook amend`
at end-of-session.
elif Notes present (no Playbook):
-> read Notes verbatim before any discovery step; they carry known gotchas
for this query family even when no structured choreography exists yet.
elif Found AND Results[0].EntityMatch == "exact" AND Results[0].Confidence >= 2:
-> skip discovery; fetch live data for Results[*].ResourceID in parallel
elif Found AND Results[0].EntityMatch == "partial":
-> candidate hint, NOT a hit; read the resource title to validate before trusting
elif (any row in Mismatches[] when --debug-mismatches was passed):
-> treat as cold start; the stored learning is for a different entity
(different canonical resolved from query_entities)
else: // Found == false, no playbook, no notes
-> cold start; run discovery normally; teach the answer afterward (Step 4).
If the family has no playbook yet, that teach auto-synthesizes a
playbook candidate from this session's journal - you do not need to
record one by hand.Playbook and Notes are orthogonal to the per-resource path. A recall response can carry both a Playbook AND a Results[] hit - use both: the Playbook tells you which choreography to run; the resource hits short-circuit specific steps. Default to skipping mismatches; pass --debug-mismatches only when investigating cold-start surprises.
Candidate judgment details: learnings confirm <id> prints the candidate's full payload before materializing it - check that the printed payload matches the behavior you verified. learnings reject <id> tombstones the derivation signature so the same candidate does not resurface. The envelope carries only the few candidates worth acting on now; intercom-pp-cli learnings candidates lists the full open set.
Graceful degradation: if learnings confirm is an unknown command, you are driving an older binary - ignore the candidates guidance and follow the rest of the protocol.
warningslow_confidence: row exists at confidence<2. Treat as a hint, not a skip-discovery hit.resource_not_in_store: the local store doesn't have the resource the learning points at. The match validator couldn't classify entities — direct-fetch and re-evaluate.cross_alias_match (per-result): the row was taught under a different alias and matched the live query's canonical via entity_lookups (e.g., a "USA" teach satisfying a "United States" recall). Trust the resource_id.similar_shape_different_entity:<canonical> (top-level): a structurally matching row exists but its canonical entity differs from the live query's. Treated as cold start; the warning carries the conflicting canonical as a hint, but the row is NOT promoted into Results.ambiguous_alias (top-level): a single query entity resolved to multiple canonicals (e.g., "Cards" → Arizona Cardinals + St. Louis Cardinals). Surface the ambiguity from context before committing to a resource.candidates_present (top-level): the envelope carries a candidates section. Handle it via the candidates branch in Step 2 before anything else.lookup_refresh_available (top-level): an entity in the query has no lookup row yet, but synced data could provide one. Run intercom-pp-cli sync to refresh entity lookups.no_learnings_for_query_family: the table had no rows above the Jaccard floor. Pure cold start.teach & after finalizing your response - alwaysTeaching is unconditional. After resolving a query the store could not answer, background-teach the final resource mapping - no call-count threshold, no judging whether it was "worth" learning. The teach is the anchor of the loop: it triggers playbook synthesis for a family without a playbook, and same-referent phrasings fold into one family so near-duplicate teaches do not fragment the store. Fire it after assembling your user-facing response but BEFORE emitting it, with a shell & so the call returns immediately:
intercom-pp-cli teach --query "<user's question>" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.
PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.
You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:
# Common case: record both the resource learning AND the playbook in one call.
intercom-pp-cli teach \
--query "<user's question>" \
--resource <id> \
--playbook-file ~/playbooks/<shape>.json \
--playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)
# Alternate: playbook-only (no resource to record alongside).
intercom-pp-cli teach-playbook \
--query "<user's question>" \
--playbook-file ~/playbooks/<shape>.json \
--notes-file ~/playbooks/<shape>-notes.mdPlaybook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.
When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.
playbook amend & when your debug response identifies a correctionIf your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach.
intercom-pp-cli playbook amend \
--query "<exact recall query string>" \
--add-note "<your concrete correction>"
# (append shell `&` to background it)What counts as worth amending: a behavior you OBSERVED this session that future-you would benefit from knowing. Examples worth amending:
{meta, results}, payload nested two levels deeper than the docs claim).What does NOT belong in notes:
The amend command appends to the family's existing notes with a timestamped marker ([amend YYYY-MM-DDTHH:MMZ]: <text>). Multiple amends accumulate; the audit trail is visible. If no playbook exists yet for the family, amend creates a notes-only one (so cold-start corrections still land).
playbook amend notes are designed to potentially flow upstream as shared knowledge in future versions of the Printing Press. Keep them clean of user-identifying content so the upstream-contribution path stays open without retroactive scrubbing:
If a correction is only meaningful with user-specific context, it belongs in a personal note, not in the playbook amend.
intercom-pp-cli learnings stats reports recall hit rate, teach-to-reuse, playbook resolution rate, and candidate confirm/reject counts from the local learn_events table. Rates are null until they have a denominator; everything stays on this machine. Use it to check whether the loop is earning its keep for this CLI.
--no-learn on a single command short-circuits both recall and the teach write path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.INTERCOM_NO_LEARN=true in the environment globally disables the pipeline.When you (or the agent) notice something off about this CLI, record it:
intercom-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
intercom-pp-cli feedback --stdin < notes.txt
intercom-pp-cli feedback list --json --limit 10Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless INTERCOM_FEEDBACK_ENDPOINT is set AND either --send is passed or INTERCOM_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.
Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.
Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:
| Sink | Effect |
|---|---|
stdout | Default; write to stdout only |
file:<path> | Atomically write output to <path> (tmp + rename) |
webhook:<url> | POST the output body to the URL (application/json or application/x-ndjson when --compact) |
Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.
A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.
intercom-pp-cli profile save briefing --json
intercom-pp-cli --profile briefing admins list
intercom-pp-cli profile list --json
intercom-pp-cli profile show briefing
intercom-pp-cli profile delete briefing --yesExplicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Usage error (wrong arguments) |
| 3 | Resource not found |
| 4 | Authentication required |
| 5 | API error (upstream issue) |
| 7 | Rate limited (wait and retry) |
| 10 | Config error |
Parse $ARGUMENTS:
help, or --help → show intercom-pp-cli --help outputinstall → ends with mcp → MCP installation; otherwise → see Prerequisites above--agent)go install github.com/mvanhorn/printing-press-library/library/sales-and-crm/intercom/cmd/intercom-pp-mcp@latestclaude mcp add intercom-pp-mcp -- intercom-pp-mcpclaude mcp listwhich intercom-pp-cli
If not found, offer to install (see Prerequisites at the top of this skill).--agent flag:intercom-pp-cli <command> [subcommand] [args] --agentintercom-pp-cli <command> --help.© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in cli-skills/pp-intercom of mvanhorn/printing-press-library.
Open the folder on GitHubat commit 7638ad4
Pp Intercom next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pp Intercom this skillmvanhorn/printing-press-library | 2.1k | — | ~10k | Automated safety check: Notes | Apache-2.0 | |
| Pi Intercomnicobailon/pi-intercom | 529 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Intercombastani-inc/atomic | 846 | — | ~6.9k | Automated safety check: Pass | Custom licence | |
| Intercom Automationdavepoon/buildwithclaude | 3.6k | 7 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Subagentbastani-inc/atomic | 846 | — | ~11k | Automated safety check: Pass | Custom licence | |
| Playbook Case Study Pagegrowthenginenowoslawski/coldoutboundskills | 740 | — | ~5k | Automated safety check: Pass | MIT |
nicobailon/pi-intercom
Streamline session-to-session coordination with pi-intercom.
bastani-inc/atomic
Streamline session-to-session coordination with the intercom extension.
davepoon/buildwithclaude
Automate Intercom tasks via Rube MCP (Composio): conversations, contacts, companies, segments, admins.
bastani-inc/atomic
Delegate work to builtin or custom subagents with single-agent, parallel, forked-context, and intercom-coordinated runs.
growthenginenowoslawski/coldoutboundskills
Finds a prospect company's own case-study or customer-stories page and pulls one named customer off it, so email 1 can open with "saw your work with Intercom".
growthenginenowoslawski/coldoutboundskills
Turns one customer case study into the tightest list of companies that would read that case study and see themselves.
mvanhorn/printing-press-library
Desktop automation through the real Rust agent-desktop CLI, published in Printing Press through a small bridge.
mvanhorn/printing-press-library
Search, browse, and download Google Fonts from the terminal via the gfonts CLI.
mvanhorn/printing-press-library
The free, offline Trigger phrases: search 1688 for, find a factory on 1688 for, wholesale price on 1688 for, who is the cheapest supplier on 1688 for, compare 1688 suppliers for, use 1688, run 1688.
mvanhorn/printing-press-library
Inspect known Activity Japan plan IDs or URLs, compare dated prices and sessions, check language-sitemap coverage, and hand off to canonical booking pages.
mvanhorn/printing-press-library
Every Admin By Request portal action, plus a local SQLite mirror of audit, events, inventory and requests for ad-hoc...
mvanhorn/printing-press-library
macOS screen capture, window recording, GIF conversion, and agent evidence bundles from the terminal.
Works with
Every Intercom resource as a typed CLI with offline sync and EU/AU regions. Pp Intercom is an agent skill from mvanhorn/printing-press-library. Every Intercom resource as a typed CLI with offline sync and EU/AU regions.
Pp Intercom fits situations like: phrases: search intercom conversations; tag intercom conversations in bulk; intercom contact 360; intercom SLA report.
Run `npx skills add mvanhorn/printing-press-library --skill pp-intercom -a claude-code`. Or copy the skill folder (cli-skills/pp-intercom in mvanhorn/printing-press-library) into .claude/skills/pp-intercom in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mvanhorn/printing-press-library --skill pp-intercom -a codex`. Or copy the skill folder (cli-skills/pp-intercom in mvanhorn/printing-press-library) into .agents/skills/pp-intercom in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mvanhorn/printing-press-library --skill pp-intercom -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-intercom, .gemini/skills/pp-intercom, .github/skills/pp-intercom and .opencode/skills/pp-intercom in your project.
Going by SKILL.md and its folder, Pp Intercom needs the command-line tools its instructions call (go, claude and npx) and credentials named INTERCOM_ACCESS_TOKEN. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.
SKILL.md names 2 domains. In commands or code: api.intercom.io; the agent is likely to contact it when it follows the instructions. As links in the text: api.intercom. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Pp Intercom is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 10k tokens (SKILL.md is roughly 41k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pp Intercom: Pi Intercom (nicobailon/pi-intercom, 529 stars), Intercom (bastani-inc/atomic, 846 stars), Intercom Automation (davepoon/buildwithclaude, 3.6k stars) and Subagent (bastani-inc/atomic, 846 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,053 GitHub stars. The repository holds 505 skills in this directory. The repository was last updated on October 6, 2026.
Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.