Product Lens
affaan-m/ECC
Validate the why before building through four product diagnostics — a YC-style product diagnostic that produces PRODUCT-BRIEF.md with a go/no-go recommendation, a founder review scoring…
Compare regional tabiwa catalog products with payment units and original restriction evidence.
$ npx skills add mvanhorn/printing-press-library --skill pp-tabiwa -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mvanhorn/printing-press-library pp-tabiwa --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-tabiwa .claude/skills/pp-tabiwa && 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-tabiwa" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-tabiwa into .claude/skills/pp-tabiwa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-tabiwa", 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-tabiwaType 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-tabiwa -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mvanhorn/printing-press-library pp-tabiwa --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-tabiwa .agents/skills/pp-tabiwa && 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-tabiwa" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-tabiwa into .agents/skills/pp-tabiwa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-tabiwa", 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-tabiwa -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mvanhorn/printing-press-library pp-tabiwa --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-tabiwa .cursor/skills/pp-tabiwa && 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-tabiwa" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-tabiwa into .cursor/skills/pp-tabiwa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-tabiwa", 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-tabiwa--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-tabiwa -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mvanhorn/printing-press-library pp-tabiwa --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-tabiwa .gemini/skills/pp-tabiwa && 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-tabiwa" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-tabiwa into .gemini/skills/pp-tabiwa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-tabiwa", 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-tabiwaInstalls 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-tabiwa -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-tabiwa .github/skills/pp-tabiwa && 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-tabiwa" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-tabiwa into .github/skills/pp-tabiwa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-tabiwa", 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-tabiwa -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-tabiwa --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-tabiwa .opencode/skills/pp-tabiwa && 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-tabiwa" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-tabiwa into .opencode/skills/pp-tabiwa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-tabiwa", 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-tabiwaCompare regional tabiwa catalog products with payment units and original restriction evidence.
Pp Tabiwa is an agent skill from mvanhorn/printing-press-library. Compare regional tabiwa catalog products with payment units and original restriction evidence. Trigger phrases: compare tabiwa passes, tabiwa points-only ticket, tabiwa catalog restrictions, use tabiwa, run tabiwa-pp-cli.
Its SKILL.md is about 7.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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 76de244. 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.
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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pp Tabiwa loads about 7.9k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 3,384 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 76de244, republished under its Apache-2.0 licence (© mvanhorn). 3,384 words, ~7,947 tokens.
.claude/skills/pp-tabiwa/SKILL.md (or your agent's skills folder).<!-- GENERATED FILE — DO NOT EDIT.
This file is a verbatim mirror of library/travel/tabiwa/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/". -->
Public catalog reads work without login. The only sent cookie is regionId, the website's display preference: 10 せとうち, 20 北陸, 30 山陰, 40 九州. Full detail pages enter Queue-it for ordinary HTTP and are excluded from runtime access. The CLI never imports queue/account cookies, books, pays, retrieves purchased tickets, or redeems a ticket.
Use geography list --region 20 for exact provider prefecture/area IDs; these differ from national prefecture codes. Use catalog search for a bounded shortlist, catalog inspect ID for the selected catalog summary and catalog compare ID ID --on YYYY-MM-DD for price units and requested-date membership. catalog and geography are bounded aliases of their search/list commands. Live catalog commands support --data-source auto or live; catalog saved supports auto or local.
price.unit separates JPY, WESTER_POINT, and unknown. points_only is the source boolean or null; a yen display does not establish that points cannot be used. Amounts remain decimal strings. A quote's passenger/unit basis is unknown unless the overview explicitly identifies it, such as a per-vehicle taxi price. The CLI does not rank incomparable quotes, convert points, or calculate pass savings.
Requested-date membership is a published catalog filter. not_listed does not mean sold out, closed, ineligible or unavailable. Real availability is always unknown. An explicit overview sold-out notice has its own published_status; generic limited-stock wording never sets it. Area tags do not prove included routes: J0000900 tags 直島 in its broader area while its overview excludes unlisted 直島. Preserve both facts.
restriction_evidence contains original Japanese overview lines with restriction/redemption cues, not a complete policy or route description. Complete redemption terms and included routes remain unknown. Read overview_truncated and restriction_evidence_truncated before relying on the excerpts. Canonical product links lead to the source's final terms; opening them may require its ordinary queue.
Source reads have an 8 MiB response/1000-record bound. Search scans at most --max-records (default 500, maximum 1000) independently from --limit (default 10, maximum 50). Coverage reports source/scanned/returned counts and truncation. A zero result applies only to those filters and scanned records. Inspect requests one ID; compare requests two to five distinct IDs and uses at most two source reads. Every observation retains source URL and UTC retrieval time; requested dates are Japan calendar dates.
Generic root search uses local FTS over synced geography in auto/local modes; explicit live is unsupported. Use catalog search for bounded regional products. Generic MCP search/SQL use geography from the separate framework store. Save-capable catalog MCP tools are local writes because save=true persists selected private evidence; provider requests remain GET-only. Geography and saved-evidence tools remain reads.
Live commands save only with --save; --no-cache --save is refused. Selected normalized evidence is stored in catalog/saved.db under the resolved cache directory, at most 50 (region,id) observations, 24 KiB per record. Only a strictly newer observation instant replaces that product's prior evidence; delayed or equal-clock saves keep the existing observation. SQLite saves use normal transactions. catalog saved opens only an existing read-only database and performs no migration or source read; missing storage returns an empty saved list without creating directories. Saved clocks are original source clocks, not current availability. SQL's generic framework store is separate from this selected-evidence store.
Queue redirects, HTML challenges, throttles, contract changes, and network failures are explicit errors. Date-comparison failure returns an error instead of a partly fabricated comparison. No automatic source-access workaround or browser runtime is used. A large MCP result may require fewer products or narrower --select fields.
This skill drives the tabiwa-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:
$HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:npx -y @mvanhorn/printing-press-library install tabiwa --cli-onlytabiwa-pp-cli --version$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/travel/tabiwa/cmd/tabiwa-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.
Inspect published catalog summaries and requested-date membership. Full ticket terms, route coverage and stock remain unknown; finish on the canonical product page.
Use for tabiwa regional transport/attraction bundles and coupons, points-only prices, overview restriction evidence and saved catalog shortlists.
Do not use this CLI for:
These capabilities aren't available in any other tool for this API.
catalog search — Discover regional products with a dated catalog filter and explicit scanned coverage.
Discover regional products with a dated catalog filter and explicit scanned coverage.
tabiwa-pp-cli catalog search --region 20 --category transportation --on 2026-10-28 --limit 3 --agentcatalog compare — Compare points-only and yen-quoted products without inventing currency conversion.
Compare points-only and yen-quoted products without inventing currency conversion.
tabiwa-pp-cli catalog compare J0001900 J0000900 --region 10 --agentcatalog inspect — Read original Japanese restriction and redemption hints while complete terms remain unknown.
Read original Japanese restriction and redemption hints while complete terms remain unknown.
tabiwa-pp-cli catalog inspect J0000900 --region 10 --agentcatalog compare — Show whether selected products appear in a requested-date catalog without claiming ticket stock.
Show whether selected products appear in a requested-date catalog without claiming ticket stock.
tabiwa-pp-cli catalog compare J0001900 J0000900 --region 10 --on 2026-10-28 --agentcatalog saved — Read saved selected products offline with their original observation times.
Read saved selected products offline with their original observation times.
tabiwa-pp-cli catalog saved --region 10 --limit 3 --agentcatalog — Inspect published ticket catalog summaries and their limits
tabiwa-pp-cli catalog — Discover catalog summaries with regional and date filters; not live stockgeography — Resolve provider region-specific prefecture and area identifiers
tabiwa-pp-cli geography — List source prefecture and area IDs for a selected regional catalogWhen you know what you want to do but not which command does it, ask the CLI directly:
tabiwa-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. --json (and other machine formats) keep that exit-2 contract and write {"matches":[]} on stdout so agents can inspect the envelope without treating a miss as success.
tabiwa-pp-cli catalog compare J0001900 J0000900 --region 10 --agentCompare points-only and yen-quoted products without inventing currency conversion.
tabiwa-pp-cli catalog inspect J0000900 --region 10 --agentRead original Japanese restriction and redemption hints while complete terms remain unknown.
tabiwa-pp-cli catalog search --region 20 --category transportation --limit 3 --agent --select products.id,products.name,products.price,coverageKeep identity, unit-qualified quotes and scan coverage.
Public catalog reads need no login. The only sent cookie is the documented regionId display preference. Queue-it full detail pages are excluded from runtime access.
Run tabiwa-pp-cli doctor to verify setup.
Add --agent to any command. Expands to: --json --compact --no-input --no-color.
Global format flags share one contract on promoted, novel, sync, and --deliver paths:
--json — one JSON document on stdout (sync progress events go to stderr)
--compact — keep identity/status/timestamp fields; does not change the document vs stream shape
--csv / --plain — tabular rows (collection envelopes unwrap to the row array)
--quiet — one identity value per row, no envelope
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:
tabiwa-pp-cli catalog --agent --select id,name,pricePreviewable — --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
Read-only — do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests
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 TABIWA_HOME=<dir> to relocate all four path kinds under one root.
Use per-kind env vars only when a specific kind must diverge: TABIWA_CONFIG_DIR, TABIWA_DATA_DIR, TABIWA_STATE_DIR, TABIWA_CACHE_DIR.
Resolution order is per-kind env var, --home, TABIWA_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.
config contains config.json and profiles. data contains the generic framework data.db. state contains local runtime and learning files. cache contains regenerable HTTP/cache files and selected observations in catalog/saved.db.
Run tabiwa-pp-cli doctor --fail-on warn to surface path 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": {
"tabiwa": {
"command": "tabiwa-pp-mcp",
"env": {
"TABIWA_HOME": "/srv/tabiwa"
}
}
}
}Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use TABIWA_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 TABIWA_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, pass the question as an argv or MCP tool argument to recall --agent. Do not interpolate user-controlled text into a shell command line.
Quoted recall "<question>" breaks on an apostrophe, which is ordinary English. A quoted heredoc breaks when a body line equals the delimiter, and that delimiter is published in these docs. Write the question with a non-shell file-writing tool, then read it back as data:
# Write the question verbatim with your file-writing tool (no shell involved).
# Command substitution on a file only ever yields data — the shell never
# parses the file's bytes as syntax.
QUERY=$(cat /path/to/question.txt)
tabiwa-pp-cli recall "$QUERY" --agentPrefer MCP: pass the question as the tool's query argument. "$QUERY" after a file read is argv-safe; putting the question itself in the command text is not.
The 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>", "tabiwa-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 `tabiwa-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; tabiwa-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 tabiwa-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. Pass the query the same way as recall — argv/MCP, or file-then-$QUERY. Do not splice the question into the command text:
QUERY=$(cat /path/to/question.txt)
tabiwa-pp-cli teach --query "$QUERY" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.
PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.
You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:
# Common case: record both the resource learning AND the playbook in one call.
QUERY=$(cat /path/to/question.txt)
tabiwa-pp-cli teach \
--query "$QUERY" \
--resource <id> \
--playbook-file ~/playbooks/<shape>.json \
--playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)
# Alternate: playbook-only (no resource to record alongside).
QUERY=$(cat /path/to/question.txt)
tabiwa-pp-cli teach-playbook \
--query "$QUERY" \
--playbook-file ~/playbooks/<shape>.json \
--notes-file ~/playbooks/<shape>-notes.mdPlaybook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.
When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.
playbook amend & when your debug response identifies a correctionIf your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach. Pass the query and note as argv/MCP arguments, or write each with a non-shell file tool and read them back (QUERY=$(cat ...), NOTE=$(cat ...)). Do not interpolate either string into the command text:
QUERY=$(cat /path/to/question.txt)
NOTE=$(cat /path/to/note.txt)
tabiwa-pp-cli playbook amend \
--query "$QUERY" \
--add-note "$NOTE"
# (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.
tabiwa-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.TABIWA_NO_LEARN=true in the environment globally disables the pipeline.When you (or the agent) notice something off about this CLI, record it:
tabiwa-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
tabiwa-pp-cli feedback --stdin < notes.txt
tabiwa-pp-cli feedback list --json --limit 10Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless TABIWA_FEEDBACK_ENDPOINT is set AND either --send is passed or TABIWA_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). Binary-response commands write decoded payload bytes (not the base64 JSON envelope) and print a small JSON receipt on stdout; --json/--csv do not refuse when this sink is set. |
webhook:<url> | POST the output body to the URL (application/json) |
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.
tabiwa-pp-cli profile save briefing --json
tabiwa-pp-cli --profile briefing catalog
tabiwa-pp-cli profile list --json
tabiwa-pp-cli profile show briefing
tabiwa-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 |
| 5 | API error (upstream issue) |
| 7 | Rate limited (wait and retry) |
| 10 | Config error |
Parse $ARGUMENTS:
help, or --help → show tabiwa-pp-cli --help outputinstall → ends with mcp → MCP installation; otherwise → see Prerequisites above--agent)go install github.com/mvanhorn/printing-press-library/library/travel/tabiwa/cmd/tabiwa-pp-mcp@latestclaude mcp add tabiwa-pp-mcp -- tabiwa-pp-mcpclaude mcp listwhich tabiwa-pp-cli
If not found, offer to install (see Prerequisites at the top of this skill).--agent flag:tabiwa-pp-cli <command> [subcommand] [args] --agenttabiwa-pp-cli <command> --help.For MCP comparisons, pass the comma-separated ids string, for example {"ids":"J0001900,J0000900","region":"10","on":"2026-10-28"}. The CLI equivalent is catalog compare --ids J0001900,J0000900 --region 10 --on 2026-10-28.
© 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-tabiwa of mvanhorn/printing-press-library.
Open the folder on GitHubat commit 76de244
Pp Tabiwa 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 Tabiwa this skillmvanhorn/printing-press-library | 2.1k | — | ~7.9k | Automated safety check: Notes | Apache-2.0 | |
| Product Lensaffaan-m/ECC | 276k | 2 repos | ~841 | Automated safety check: Pass | MIT | |
| Productthedaviddias/Front-End-Checklist | 74k | — | ~592 | Automated safety check: Pass | MIT | |
| Unit Teststhedaviddias/Front-End-Checklist | 74k | — | ~382 | Automated safety check: Pass | MIT | |
| Pakistan Payments Stacksickn33/agentic-awesome-skills | 47k | 2 repos | ~2k | Automated safety check: Pass | MIT | |
| Product Analyticsalirezarezvani/claude-skills | 28k | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
affaan-m/ECC
Validate the why before building through four product diagnostics — a YC-style product diagnostic that produces PRODUCT-BRIEF.md with a go/no-go recommendation, a founder review scoring…
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing e-commerce product pages or implementing structured data for a shop.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing CI coverage, automated checks, or test strategy related to Write unit tests.
sickn33/agentic-awesome-skills
Design and implement production-grade Pakistani payment integrations (JazzCash, Easypaisa, bank/PSP rails, optional Raast) for SaaS with PKR billing, webhook reliability, and reconciliation.
alirezarezvani/claude-skills
A skill your agent uses when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.
phuryn/pm-skills
Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility.
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.
Compare regional tabiwa catalog products with payment units and original restriction evidence. Pp Tabiwa is an agent skill from mvanhorn/printing-press-library. Compare regional tabiwa catalog products with payment units and original restriction evidence.
Pp Tabiwa fits situations like: phrases: compare tabiwa passes; tabiwa points-only ticket; tabiwa catalog restrictions; run tabiwa-pp-cli.
Run `npx skills add mvanhorn/printing-press-library --skill pp-tabiwa -a claude-code`. Or copy the skill folder (cli-skills/pp-tabiwa in mvanhorn/printing-press-library) into .claude/skills/pp-tabiwa in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mvanhorn/printing-press-library --skill pp-tabiwa -a codex`. Or copy the skill folder (cli-skills/pp-tabiwa in mvanhorn/printing-press-library) into .agents/skills/pp-tabiwa 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-tabiwa -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-tabiwa, .gemini/skills/pp-tabiwa, .github/skills/pp-tabiwa and .opencode/skills/pp-tabiwa in your project.
Going by SKILL.md and its folder, Pp Tabiwa needs the command-line tools its instructions call (go, claude and npx). 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 Tabiwa 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 7.9k tokens (SKILL.md is roughly 32k 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 Tabiwa: Product Lens (affaan-m/ECC, 276k stars), Product (thedaviddias/Front-End-Checklist, 74k stars), Unit Tests (thedaviddias/Front-End-Checklist, 74k stars) and Pakistan Payments Stack (sickn33/agentic-awesome-skills, 47k 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 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 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.