sequenzia/project-learnings

Project Learnings

Capture project-specific patterns and anti-patterns into the project's CLAUDE.md. This creates a self-improving feedback loop where discoveries from debugging, development, and review make future Claude sessions smarter.

CRITICAL: Only project-specific knowledge qualifies. Generic programming advice does not belong in CLAUDE.md.

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Step 1: Evaluate Discovery

Determine if the finding qualifies as project-specific. The finding must pass at least ONE of these criteria:

| Criteria | Example That Qualifies | Example That Doesn't | |----------|------------------------|----------------------| | Would a developer unfamiliar with this project likely hit this issue? | "The processOrder() function expects amounts in cents, not dollars" | "Always validate function inputs" | | Is this pattern specific to this codebase's architecture, APIs, or conventions? | "The UserProfile type has an optional metadata field that is always present at runtime" | "Use TypeScript strict mode" | | Is it something Claude's training data wouldn't cover? | "Never call db.query() without the timeout option — the default is infinite" | "Use async/await instead of callbacks" |

If NO to all criteria → STOP. Do not add generic programming knowledge to CLAUDE.md. Return to the calling skill and report that no project-specific learning was found.

If YES to any → proceed to Step 2.

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Step 2: Read Existing CLAUDE.md

1. Find the project's CLAUDE.md:

   • Check the repository root first
   • If not found, check if there's a project-level .claude/ directory

2. Parse existing content:

   • Understand the existing structure, headings, and conventions
   • Look for sections where this learning would fit (e.g., "Known Gotchas", "Bug Patterns", "Conventions", "Known Challenges")
   • Check for duplicate or similar entries already present

3. If a similar entry already exists → STOP. Report to the calling skill that this knowledge is already captured. Do not create duplicates.

4. Identify placement:

   • If an appropriate section exists, plan to add the entry there
   • If no appropriate section exists, plan to propose a new section (e.g., ## Known Gotchas or ## Project-Specific Patterns)
   • New sections should be placed after the main documentation sections but before appendices or settings

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Step 3: Format the Learning

Write a concise, actionable instruction following these rules:

Format:

• Use imperative form: "Always validate X before calling Y"
• Include the WHY: "...because the API returns dates as strings, not Date objects"
• Keep it to 1-3 lines
• Follow the existing CLAUDE.md style and conventions

Templates:

For bug patterns:

- **[Area/Component]**: [What to do/avoid] — [why, with specific details]

For API gotchas:

- `functionName()` in `path/to/file`: [What's surprising about it] — [consequence if ignored]

For architectural constraints:

- [Constraint description] — [why it exists and what breaks if violated]

Examples of well-formatted learnings:

• Order processing: Always multiply amounts by 100 before passing to processOrder() — it expects cents, not dollars
• db.query() in src/database.ts: Always pass the timeout option — the default is infinite and has caused production hangs (30 second timeout recommended)
• Never import from internal/ directories in src/api/ — the build system treats these as separate compilation units and circular dependencies will silently break HMR

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Step 4: Confirm with User

Present the proposed addition via AskUserQuestion:

Show:

1. The exact text to be added
2. Where it will be placed in CLAUDE.md (section name, after which line/entry)
3. Why this qualifies as project-specific

Options:

• "Add this" — Write the entry as proposed
• "Edit before adding" — User provides modified text, then write that instead
• "Skip" — Do not add anything, return to calling skill

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Step 5: Write Update

If the user confirmed (or provided edited text):

1. Use the Edit tool to add the entry to CLAUDE.md at the identified location
2. If a new section was needed, create the section heading first
3. Verify the edit was applied correctly by reading the modified area
4. Report success to the calling skill with a summary of what was added

If the user chose "Skip":

• Report to the calling skill that the learning was declined
• Do not modify any files