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default-anton

capture-learnings

by default-anton

17🍴 0📅 Jan 24, 2026

SKILL.md


name: capture-learnings description: > Turn discoveries and project/repository conventions into durable artifacts (code, config, tests, skills, AGENTS.md, docs). Use: (1) at the end of every task (mandatory gate for non-obvious discoveries), OR (2) when explicitly asked to capture, record, document, or note a convention/pattern for future reference.

Capture Learnings

Turn non-obvious discoveries into the smallest durable artifact so future work is faster and safer.

When to use this skill

Two triggers:

  1. At the end of every task (automatic gate)

    • Apply Gate
    • If it matches: persist/update the highest-leverage artifact(s) and say what you changed
    • If it doesn't: output Capture Learnings: skipped (<reason>)
  2. When explicitly asked (direct capture)

    • User says "capture," "record," "document," "note" a convention/pattern in the repo
    • Skip the gate—persist what was requested directly
    • Examples: "capture that we always commit to main," "record this workflow," "document this convention"

Gate (persist only if ≥1 is true)

  • High cost of rediscovery (took real time / >1 failed attempt)
  • High blast radius (prod bugs, security issues, data loss)
  • High frequency (likely again within ~3 future tasks)
  • Low discoverability (no obvious keyword/entrypoint; you’d have to “already know”)
  • Stale guidance exists (wrong/expired/contradictory)
  • While using an existing doc/skill/AGENTS.md you found gaps worth fixing

If none apply: Capture Learnings: skipped (too task-specific / already discoverable).

Choose the artifact (routing rules)

Prefer changing reality over documenting it:

  1. Code/config/tests/CI: make it true (types/tests/lint/CI/scripts).

  2. Nearest subtree AGENTS.md: a rule/gotcha you must follow while working in a specific part of the tree.

    • AGENTS.md is canonical + portable for all agents (not just Claude).
    • Mandatory for Claude Code (loads CLAUDE.md, not AGENTS.md): same-dir CLAUDE.md containing @AGENTS.md.
    • Style: telegraph; noun-phrases ok; drop filler/grammar; min tokens.
    • Do not dump subtree rules into the project root.
    • If unsure where a rule belongs:
      • Run fd AGENTS.md <subtree-root> (or fd AGENTS.md if unsure) and pick the closest governing file.
      • If the project has multiple AGENTS.md files: update the closest one that governs the files you touched.
      • If none exists in the relevant subtree: create both AGENTS.md (rules) + CLAUDE.md (@AGENTS.md) in that subtree.
      • Project root AGENTS.md: last resort; only project-wide invariants.
      • Scope test: would this be wrong/irrelevant for >50% of edits in the project? If yes, it does not belong in root.
    • Prefer pointing to an existing “good example” file/path over describing abstract patterns.
  3. Project-local skill (<project>/.pi/skills/<name>/SKILL.md): a repeatable agent workflow.

    • Use when it’s 3+ steps, easy to mess up, and has clear verification.
    • Do not create a skill for a single rule (that belongs in AGENTS.md).
  4. docs/: only for durable artifacts like feature specs, agent TODOs, and developer docs.

    • docs/ is not a dumping ground for generic background/rationale.

Quick checks

  • “I must remember a rule while editing files under X/**” → nearest X/**/AGENTS.md (+ same-dir CLAUDE.md with @AGENTS.md)
  • “I must run a playbook and verify it worked” → project-local skill in .pi/skills/
  • “I need a living spec/todo/runbook that will be referenced” → docs/ (update an existing doc if possible)

Hard constraints (prevents low-signal artifacts)

docs/ gate (avoid junk)

Write to docs/ only if at least one is true:

  • The task explicitly asked for a spec/todo/doc.
  • The information is a structured artifact you’ll reuse (spec/checklist/runbook), not “what I learned”.
  • There is a clear existing place to put it (an existing file/section).

If you do write/update docs/:

  • Prefer updating an existing doc over creating a new doc.
  • Do not add long narrative sections (“Architecture”, “Rationale”, “Troubleshooting”) unless explicitly requested.

Skills: local-first + pi grounding

Skills are often misunderstood; keep them concrete and procedural.

Local-first rule:

  • Default to project-local skills in <project>/.pi/skills/.
  • Only create a global skill if it is truly cross-project and contains no project-specific paths/commands.

Before creating/updating a skill (or hooks/tools/providers/themes):

  • Read the pi docs and follow cross-references:
    • /path/to/@mariozechner/pi-coding-agent/docs/skills.md
  • Read ~2 existing skills in the same scope (project-local vs global) and match their conventions.

Scope (where it lives)

  • Project-specific workflow → <project>/.pi/skills/<name>/
  • Cross-project/personal habit → ~/.pi/agent/skills/<name>/
  • Cross-project agent rules/workflow → ~/.pi/agent/AGENTS.md (don't create CLAUDE.md here)
  • Subtree-specific rules/workflow → nearest relevant AGENTS.md (+ same-dir CLAUDE.md with @AGENTS.md)
  • Project-wide rules/workflow → project root AGENTS.md (+ same-dir CLAUDE.md with @AGENTS.md)

Prefer updating an existing artifact over creating a new one; avoid duplicates.

What to persist

  • Non-obvious commands/paths/flags/env vars that matter
  • Conventions/patterns you had to infer by reading code
  • Gotchas that caused failures/iteration (tests, tooling, auth, permissions)
  • Constraints/tradeoffs that shape future changes

Avoid persisting

Do not persist:

  • Generic best practices
  • Facts already obvious from the codebase
  • Task logs (“what I just did”)
  • One-off reminders/TODOs outside the agreed docs/ TODO workflow

Quality bar

  • Tight and high-signal
  • Prefer copy/pastable commands and concrete paths over prose
  • Never store secrets (tokens, credentials, private URLs)
  • Treat staleness as a bug: delete/update invalid guidance so there’s one canonical source

Score

Total Score

60/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

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