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name: self-improving description: > Learn from corrections, mistakes, and discoveries during conversations. When the user corrects you, when something fails unexpectedly, or when you discover a project-specific pattern worth remembering — record it as a learning so future sessions benefit automatically.

Self-Improving

You have a persistent learning system. Use it to get smarter over time.

When to Record a Learning

Record a learning when ANY of these happen:

1. User corrects you — "no, use X instead of Y", "don't do that", "that's wrong"
2. Something fails unexpectedly — a build error, test failure, or runtime crash reveals a project-specific gotcha
3. You discover a non-obvious pattern — the codebase has a convention that isn't documented anywhere
4. User expresses a preference — "I prefer X", "always do Y in this project", "never use Z"

Do NOT record:

• Generic programming knowledge (you already know this)
• Things already documented in CLAUDE.md or project docs
• Trivial one-time fixes

How to Record

Create a markdown file in .learnings/ at the project root:

# File naming: YYYY-MM-DD-short-description.md
.learnings/2026-03-20-use-pnpm-not-npm.md

Each learning file follows this format:

# Use pnpm, not npm

**Context**: Ran `npm install` and got lockfile conflicts.
**Correction**: This project uses pnpm exclusively. The `pnpm-lock.yaml` is the source of truth.
**Rule**: Always use `pnpm` for install, add, and run commands. Never use `npm` or `yarn`.

Keep it short — 3-5 lines. One learning per file.

How to Read Learnings

At the start of every conversation, check if .learnings/ exists. If it does, read all files in it before starting work. These are hard-won lessons from previous sessions — respect them.

.learnings/
├── 2026-03-18-api-auth-requires-bearer.md
├── 2026-03-19-tests-need-env-setup.md
└── 2026-03-20-use-pnpm-not-npm.md

Anti-patterns

• Don't create duplicate learnings — check existing files first
• Don't record learnings that contradict CLAUDE.md — CLAUDE.md wins
• Don't flood with trivial entries — quality over quantity
• Don't modify existing learnings unless the user explicitly corrects one