learn
Personal Preference Learning
Extract preferences, styles, and behavioral patterns from the current conversation and persist them for all future sessions.
Scope: This skill captures how the user works, writes, and wants agents to behave. It does NOT capture code patterns, error fixes, or debugging techniques (those are covered by continuous-learning and learn-eval).
Three-Tier Target Architecture
| Tier | Location | Loaded | Use for |
|---|---|---|---|
| User instructions | ~/CLAUDE.md |
Every session, in full | Concise behavioral rules that apply to all projects |
| User rules | ~/.claude/rules/*.md |
Every session (or on file match) | Structured rule sets on a single topic; optionally path-scoped |
| Project memory | ~/.claude/projects/<project>/memory/ |
First 200 lines of MEMORY.md; topic files on demand | Project-specific conventions, domain context |
~/CLAUDE.md should stay under 200 lines. When it grows, move coherent rule groups to ~/.claude/rules/.
Workflow
Step 1: Scan conversation
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