Process Inbox
telegramdesktop/tdesktop
Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.
AgentMail operations with local memory, safe sends, and fleet-wide insight.
$ npx skills add mvanhorn/printing-press-library --skill pp-agentmail -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mvanhorn/printing-press-library pp-agentmail --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-agentmail .claude/skills/pp-agentmail && 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-agentmail" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-agentmail into .claude/skills/pp-agentmail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-agentmail", 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-agentmailType 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-agentmail -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mvanhorn/printing-press-library pp-agentmail --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-agentmail .agents/skills/pp-agentmail && 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-agentmail" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-agentmail into .agents/skills/pp-agentmail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-agentmail", 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-agentmail -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mvanhorn/printing-press-library pp-agentmail --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-agentmail .cursor/skills/pp-agentmail && 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-agentmail" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-agentmail into .cursor/skills/pp-agentmail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-agentmail", 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-agentmail--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-agentmail -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mvanhorn/printing-press-library pp-agentmail --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-agentmail .gemini/skills/pp-agentmail && 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-agentmail" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-agentmail into .gemini/skills/pp-agentmail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-agentmail", 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-agentmailInstalls 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-agentmail -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-agentmail .github/skills/pp-agentmail && 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-agentmail" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-agentmail into .github/skills/pp-agentmail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-agentmail", 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-agentmail -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-agentmail --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-agentmail .opencode/skills/pp-agentmail && 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-agentmail" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-agentmail into .opencode/skills/pp-agentmail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-agentmail", 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-agentmailAgentMail operations with local memory, safe sends, and fleet-wide insight.
Pp Agentmail is an agent skill from mvanhorn/printing-press-library. AgentMail operations with local memory, safe sends, and fleet-wide insight. Trigger phrases: check my AgentMail inboxes, search AgentMail messages, review a draft before sending, find unresolved AgentMail follow-ups, audit scheduled AgentMail sends, use AgentMail, run AgentMail.
Its SKILL.md is about 8.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Email management. 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 0fdcc7a. 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:
bashgoclaudenpxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AGENTMAIL_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pp Agentmail loads about 8.3k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 3,383 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 0fdcc7a, republished under its Apache-2.0 licence (© mvanhorn). 3,383 words, ~8,345 tokens.
.claude/skills/pp-agentmail/SKILL.md (or your agent's skills folder).<!-- GENERATED FILE — DO NOT EDIT.
This file is a verbatim mirror of library/social-and-messaging/agentmail/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 agentmail-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:
$HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:npx -y @mvanhorn/printing-press-library install agentmail --cli-onlyagentmail-pp-cli --version$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/social-and-messaging/agentmail/cmd/agentmail-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.
The CLI covers AgentMail's inbox, message, thread, draft, webhook, domain, list, metric, key, pod, and organization surfaces. It adds local triage queues, pre-send risk checks, conversation rollups, schedule audits, delivery reconciliation, and fleet health so agents can reason across time and resources instead of replaying isolated API calls.
Use AgentMail when an agent needs to provision inboxes, read or send email, manage conversations, prepare reviewed or scheduled drafts, or operate multiple tenants. Prefer the local operational commands when the decision depends on history across messages, threads, drafts, and fleet resources. Use the hosted AgentMail MCP or SDK directly when you need a resident event stream or application-embedded async control.
Do not use this CLI for:
These capabilities aren't available in any other tool for this API.
triage queue — Rank unresolved inbound conversations across inboxes with age, direction, labels, and pending drafts.
Choose this when an agent needs an actionable unresolved-mail queue instead of raw paginated messages.
agentmail-pp-cli triage queue --db /tmp/agentmail.db --since 7d --json --agentthread rollup — Render compact conversation handoff context with participants, counts, latest direction, age, labels, and extracted reply content.
Choose this when an agent or human needs conversation context without repeated thread and message fetches.
agentmail-pp-cli thread rollup thread_demo --db /tmp/agentmail.db --json --agent --select thread_id,latest_direction,message_count,pending_draftsend check — Review a draft for deterministic recipient, attachment, schedule, duplicate, and idempotency risks before sending.
Choose this before releasing a draft when a safe, auditable send decision matters more than simply calling send.
agentmail-pp-cli send check draft_demo --db /tmp/agentmail.db --json --agentschedule audit — Find scheduled drafts that are overdue, orphaned, duplicated, or missing review state.
Choose this before a scheduled send window when stale or duplicate drafts need deterministic review.
agentmail-pp-cli schedule audit --db /tmp/agentmail.db --due-within 24h --json --agentdelivery reconcile — Reconcile outbound messages with status, thread placement, timestamps, and later inbound activity.
Choose this after a send batch when an agent must identify stale, failed, or unthreaded outcomes.
agentmail-pp-cli delivery reconcile --db /tmp/agentmail.db --since 7d --json --agentfleet health — Report inbox, domain, webhook, list, metrics, API-key, pod, and organization readiness findings.
Choose this for a preflight fleet review before agents depend on multiple inboxes or tenants.
agentmail-pp-cli fleet health --db /tmp/agentmail.db --json --agentagent — Manage agent
agentmail-pp-cli agent sign-up — Create a new agent organization with an inbox and API key. This endpoint is for signing up for the first time.agentmail-pp-cli agent verify — Verify an agent organization using the 6-digit OTP sent to the human's email during sign-up.api-keys — Manage api keys
agentmail-pp-cli api-keys create — CLI: bash agentmail api-keys create --name 'My Key' agentmail-pp-cli api-keys create-public-key — Register a public P-256 JWK using an existing AgentMail bearer API key with api_key_create.agentmail-pp-cli api-keys delete — CLI: bash agentmail api-keys delete --api-key-id <api_key_id> agentmail-pp-cli api-keys list — CLI: bash agentmail api-keys list agentmail-pp-cli api-keys list-public-keys — List only public-key credentials visible to the bearer caller's scope.agentmail-pp-cli api-keys revoke-all-agent-id-sign-in-keys — Invalidate every current public-key credential in the caller's organization by advancing its AgentID key generation.agentmail-pp-cli api-keys revoke-public-key — Permanently revoke one public-key credential. This hard-deletes the credential; repeating the request returns not found.agentmail-pp-cli api-keys update-public-key-name — Rename the credential. All security-relevant fields are immutable. Requires api_key_update.domains — Manage domains
agentmail-pp-cli domains create — CLI: bash agentmail domains create --domain example.com agentmail-pp-cli domains delete — CLI: bash agentmail domains delete --domain-id <domain_id> agentmail-pp-cli domains get — CLI: bash agentmail domains get --domain-id <domain_id> agentmail-pp-cli domains list — CLI: bash agentmail domains list agentmail-pp-cli domains update — CLI: bash agentmail domains update --domain-id <domain_id> drafts — Manage drafts
agentmail-pp-cli drafts get — CLI: bash agentmail drafts get --draft-id <draft_id> agentmail-pp-cli drafts list — CLI: bash agentmail drafts list inboxes — Manage inboxes
agentmail-pp-cli inboxes create — CLI: bash agentmail inboxes create --display-name 'My Agent' --username myagent --domain agentmail.to agentmail-pp-cli inboxes delete — CLI: bash agentmail inboxes delete --inbox-id <inbox_id> agentmail-pp-cli inboxes get — CLI: bash agentmail inboxes get --inbox-id <inbox_id> agentmail-pp-cli inboxes list — CLI: bash agentmail inboxes list agentmail-pp-cli inboxes update — CLI: bash agentmail inboxes update --inbox-id <inbox_id> --display-name 'Updated Name' lists — Manage lists
agentmail-pp-cli lists create — CLI: bash agentmail lists create --direction <direction> --type <type> --entry user@example.com agentmail-pp-cli lists delete — CLI: bash agentmail lists delete --direction <direction> --type <type> --entry <entry> agentmail-pp-cli lists get — CLI: bash agentmail lists get --direction <direction> --type <type> --entry <entry> agentmail-pp-cli lists list — CLI: bash agentmail lists list --direction <direction> --type <type> metrics — Manage metrics
agentmail-pp-cli metrics query-events — Counts of email events (sent, delivered, bounced, etc.) over time for the organization.agentmail-pp-cli metrics query-usage — Cumulative usage series for the organization.organizations — Manage organizations
agentmail-pp-cli organizations — Returns the organization for the authenticated API key (usage limits, counts, and billing metadata).pods — Manage pods
agentmail-pp-cli pods create — CLI: bash agentmail pods create --client-id my-pod agentmail-pp-cli pods delete — CLI: bash agentmail pods delete --pod-id <pod_id> agentmail-pp-cli pods get — CLI: bash agentmail pods get --pod-id <pod_id> agentmail-pp-cli pods list — CLI: bash agentmail pods list reference-auth — Manage reference auth
agentmail-pp-cli reference-auth — Returns the identity and scope of the authenticated credential.threads — Manage threads
agentmail-pp-cli threads delete — Permanently deletes a thread and all of its messages.agentmail-pp-cli threads get — CLI: bash agentmail threads get --thread-id <thread_id> agentmail-pp-cli threads list — Lists threads, most recent first. Pass senders, recipients, or subject to filter by substring.agentmail-pp-cli threads search — Full-text search across threads in the organization, ranked by relevance.agentmail-pp-cli threads update — Updates thread labels. Cannot add or remove system labels (sent, received, bounced, etc.).webhooks — Manage webhooks
agentmail-pp-cli webhooks create — CLI: bash agentmail webhooks create --url https://example.com/webhook --event-type message.received agentmail-pp-cli webhooks delete — CLI: bash agentmail webhooks delete --webhook-id <webhook_id> agentmail-pp-cli webhooks get — CLI: bash agentmail webhooks get --webhook-id <webhook_id> agentmail-pp-cli webhooks list — CLI: bash agentmail webhooks list agentmail-pp-cli webhooks update — Update inbox or pod subscriptionsWhen you know what you want to do but not which command does it, ask the CLI directly:
agentmail-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.
agentmail-pp-cli triage queue --db /tmp/agentmail.db --since 7d --json --agentProduce an action-ranked queue from synchronized inbox, thread, message, label, and draft state.
agentmail-pp-cli inboxes messages search inb_demo --query "invoice overdue" --agent --select messages.message_id,messages.subject,messages.fromKeep only high-value fields when a relevance-ranked message response is large.
agentmail-pp-cli send check draft_demo --db /tmp/agentmail.db --json --agentExpose deterministic recipient, schedule, duplicate, and idempotency risks before an irreversible send.
agentmail-pp-cli schedule audit --db /tmp/agentmail.db --due-within 24h --jsonFind overdue, orphaned, duplicated, or unreviewed scheduled drafts.
agentmail-pp-cli delivery reconcile --db /tmp/agentmail.db --since 7d --json --agentCorrelate outbound outcomes with later inbound activity and thread placement.
Set AGENTMAIL_API_KEY to a bearer token from AgentMail. Configured credentials are never printed; newly created API-key and signup secrets are returned only by the upstream create response and are not persisted in the local mirror. Use drafts, --dry-run, and Idempotency-Key for controlled writes; verify the human OTP during first-time agent signup.
Run agentmail-pp-cli doctor to verify setup.
Add --agent to any command. Expands to: --json --compact --no-input --no-color.
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:
agentmail-pp-cli api-keys list --agentPreviewable — --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 confirmation — --agent does not imply --yes; pass --yes separately only after the target, arguments, and side effects are clear
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 the response is live, local, or dry-run. 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 AGENTMAIL_HOME=<dir> to relocate all four path kinds under one root.
Use per-kind env vars only when a specific kind must diverge: AGENTMAIL_CONFIG_DIR, AGENTMAIL_DATA_DIR, AGENTMAIL_STATE_DIR, AGENTMAIL_CACHE_DIR.
Resolution order is per-kind env var, --home, AGENTMAIL_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 agentmail-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": {
"agentmail": {
"command": "agentmail-pp-mcp",
"env": {
"AGENTMAIL_HOME": "/srv/agentmail"
}
}
}
}Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use AGENTMAIL_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 AGENTMAIL_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:
agentmail-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>", "agentmail-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 `agentmail-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; agentmail-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 agentmail-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:
agentmail-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.
agentmail-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).
agentmail-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.
agentmail-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.
agentmail-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.AGENTMAIL_NO_LEARN=true in the environment globally disables the pipeline.When you (or the agent) notice something off about this CLI, record it:
agentmail-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
agentmail-pp-cli feedback --stdin < notes.txt
agentmail-pp-cli feedback list --json --limit 10Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless AGENTMAIL_FEEDBACK_ENDPOINT is set AND either --send is passed or AGENTMAIL_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.
agentmail-pp-cli profile save briefing --json
agentmail-pp-cli --profile briefing api-keys list
agentmail-pp-cli profile list --json
agentmail-pp-cli profile show briefing
agentmail-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 agentmail-pp-cli --help outputinstall → ends with mcp → MCP installation; otherwise → see Prerequisites above--agent)go install github.com/mvanhorn/printing-press-library/library/social-and-messaging/agentmail/cmd/agentmail-pp-mcp@latestclaude mcp add agentmail-pp-mcp -- agentmail-pp-mcpclaude mcp listwhich agentmail-pp-cli
If not found, offer to install (see Prerequisites at the top of this skill).--agent flag:agentmail-pp-cli <command> [subcommand] [args] --agentagentmail-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-agentmail of mvanhorn/printing-press-library.
Open the folder on GitHubat commit 0fdcc7a
Pp Agentmail 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 Agentmail this skillmvanhorn/printing-press-library | 2.1k | — | ~8.3k | Automated safety check: Notes | Apache-2.0 | |
| Process Inboxtelegramdesktop/tdesktop | 33k | 2 repos | ~4.5k | Automated safety check: Pass | GPL-3.0 | |
| Continuetelegramdesktop/tdesktop | 33k | 2 repos | ~9.4k | Automated safety check: Pass | GPL-3.0 | |
| Garden Inboxpaperclipai/paperclip | 99k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Career-Ops Gmail Lead Plugincareer-ops-hq/career-ops | 74k | — | ~233 | Automated safety check: Notes | MIT | |
| Skill CompassEvol-ai/SkillCompass | 216 | 1 repos | ~3.1k | Automated safety check: Pass | MIT |
telegramdesktop/tdesktop
Process the local ignored ai-tdesktop inbox into durable, independently testable Telegram Desktop task records while task execution worktrees remain active.
telegramdesktop/tdesktop
Continue autonomous Telegram Desktop development from the shared ai-tdesktop repository.
paperclipai/paperclip
Scan a Paperclip user's Mine inbox, classify reversible archive candidates, request checkbox confirmation, and archive only accepted selections.
career-ops-hq/career-ops
Pulls job leads from a Gmail label into the career-ops pipeline, extracting job URLs from DMARC-passing emails and de-duplicating against existing leads.
Evol-ai/SkillCompass
Evaluate skill quality, find the weakest dimension, and apply directed improvements.
Atomic-Mail/atomic-mail-agentic
Read and write email through the Atomic Mail from an AI agent.
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.
Categories
AgentMail operations with local memory, safe sends, and fleet-wide insight. Pp Agentmail is an agent skill from mvanhorn/printing-press-library. AgentMail operations with local memory, safe sends, and fleet-wide insight.
Pp Agentmail fits situations like: phrases: check my AgentMail inboxes; search AgentMail messages; review a draft before sending; find unresolved AgentMail follow-ups.
Run `npx skills add mvanhorn/printing-press-library --skill pp-agentmail -a claude-code`. Or copy the skill folder (cli-skills/pp-agentmail in mvanhorn/printing-press-library) into .claude/skills/pp-agentmail in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mvanhorn/printing-press-library --skill pp-agentmail -a codex`. Or copy the skill folder (cli-skills/pp-agentmail in mvanhorn/printing-press-library) into .agents/skills/pp-agentmail 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-agentmail -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-agentmail, .gemini/skills/pp-agentmail, .github/skills/pp-agentmail and .opencode/skills/pp-agentmail in your project.
Going by SKILL.md and its folder, Pp Agentmail needs the command-line tools its instructions call (bash, go, claude and npx) and credentials named AGENTMAIL_API_KEY. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. 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 Agentmail 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 8.3k tokens (SKILL.md is roughly 33k 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 Agentmail: Process Inbox (telegramdesktop/tdesktop, 33k stars), Continue (telegramdesktop/tdesktop, 33k stars), Garden Inbox (paperclipai/paperclip, 99k stars) and Career-Ops Gmail Lead Plugin (career-ops-hq/career-ops, 74k 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 7, 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.