#601

Globales Ranking · von 601 Skills

lesson-learned AI Agent Skill

Quellcode ansehen: cachemoney/agent-toolkit

Safe

Installation

npx skills add cachemoney/agent-toolkit --skill lesson-learned

6

Installationen

Lesson Learned

Extract specific, grounded software engineering lessons from actual code changes. Not a lecture -- a mirror. Show the user what their code already demonstrates.

Before You Begin

Load the principles reference first.

  1. Read references/se-principles.md to have the principle catalog available
  2. Optionally read references/anti-patterns.md if you suspect the changes include areas for improvement
  3. Determine the scope of analysis (see Phase 1)

Do not proceed until you've loaded at least se-principles.md.

Phase 1: Determine Scope

Ask the user or infer from context what to analyze.

Scope Git Commands When to Use
Feature branch git log main..HEAD --oneline + git diff main...HEAD User is on a non-main branch (default)
Last N commits git log --oneline -N + git diff HEAD~N..HEAD User specifies a range, or on main (default N=5)
Specific commit git show <sha> User references a specific commit
Working changes git diff + git diff --cached User says "what about these changes?" before committing

Default behavior:

  • If on a feature branch: analyze branch commits vs main
  • If on main: analyze the last 5 commits
  • If the user provides a different scope, use that

Phase 2: Gather Changes

  1. Run git log with the determined scope to get the commit list and messages
  2. Run git diff for the full diff of the scope
  3. If the diff is large (>500 lines), use git diff --stat first, then selectively read the top 3-5 most-changed files
  4. Read commit messages carefully -- they contain intent that raw diffs miss
  5. Only read changed files. Do not read the entire repo.

Phase 3: Analyze

Identify the dominant pattern -- the single most instructive thing about these changes.

Look for:

  • Structural decisions -- How was the code organized? Why those boundaries?
  • Trade-offs made -- What was gained vs. sacrificed? (readability vs. performance, DRY vs. clarity, speed vs. correctness)
  • Problems solved -- What was the before/after? What made the "after" better?
  • Missed opportunities -- Where could the code improve? (present gently as "next time, consider...")

Map findings to specific principles from references/se-principles.md. Be specific -- quote actual code, reference actual file names and line changes.

Phase 4: Present the Lesson

Use this template:

## Lesson: [Principle Name]

**What happened in the code:**
[2-3 sentences describing the specific change, referencing files and commits]

**The principle at work:**
[1-2 sentences explaining the SE principle]

**Why it matters:**
[1-2 sentences on the practical consequence -- what would go wrong without this, or what goes right because of it]

**Takeaway for next time:**
[One concrete, actionable sentence the user can apply to future work]

If there is a second lesson worth noting (maximum 2 additional):

---

### Also worth noting: [Principle Name]

**In the code:** [1 sentence]
**The principle:** [1 sentence]
**Takeaway:** [1 sentence]

What NOT to Do

Avoid Why Instead
Listing every principle that vaguely applies Overwhelming and generic Pick the 1-2 most relevant
Analyzing files that were not changed Scope creep Stick to the diff
Ignoring commit messages They contain intent that diffs miss Read them as primary context
Abstract advice disconnected from the code Not actionable Always reference specific files/lines
Negative-only feedback Demoralizing Lead with what works, then suggest improvements
More than 3 lessons Dilutes the insight One well-grounded lesson beats seven vague ones

Conversation Style

  • Reflective, not prescriptive. Use the user's own code as primary evidence.
  • Never say "you should have..." -- instead use "the approach here shows..." or "next time you face this, consider..."
  • If the code is good, say so. Not every lesson is about what went wrong. Recognizing good patterns reinforces them.
  • If the changes are trivial (a single config tweak, a typo fix), say so honestly rather than forcing a lesson. "These changes are straightforward -- no deep lesson here, just good housekeeping."
  • Be specific. Generic advice is worthless. Every claim must point to a concrete code change.

Installationen

Installationen 6
Globales Ranking #601 von 601

Sicherheitsprüfung

ath Safe
socket Safe
Warnungen: 0 Bewertung: 90
snyk Low
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So verwenden Sie diesen Skill

1

Install lesson-learned by running npx skills add cachemoney/agent-toolkit --skill lesson-learned in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für lesson-learned, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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