wf-learn

name	wf-learn
description	Use for /wf-learn in Claude Code, $wf-learn or /skills wf-learn in Codex, or when the user wants a learning cycle from repeated errors, corrections, patterns, or session history.

WF Learn Adapter

Force a memory learning cycle. Context-master analyzes; memory-master consolidates. Use the active runtime's available subagent mechanism when present, otherwise emulate the same roles as bounded passes and record that fallback.

Note: Explicit user preferences (remember/next time/never/always/记住/下次/不要再) can be written immediately via candidate detection without waiting for /wf-learn. /wf-learn is for proactive pattern consolidation and closeout extraction.

Load

• Harness/MEMORY.md
• Harness/memory/routes.md
• Harness/memory/startup-hints.md
• Harness/memory/tool-usage-reflections.md
• Harness/memory/user-corrections-preferences.md
• Harness/memory/agent-lessons-patterns.md
• Current Harness/PROGRESS.md and active task capsule, if any

Cache Discipline

Follow Harness/specs/runtime/context-loading.md#Cache-First Context Contract: load memory indexes first, then only the routed detailed memory files; summarize durable patterns by file path and signal instead of pasting session transcripts.

Flow

1. Analyze the session for repeated failures, durable user corrections, and reusable review/debug lessons.
2. Check Harness/memory/routes.md for existing entries before writing.
3. Deduplicate against existing memory.
4. Write only concise, durable, non-secret lessons to Harness/memory/*. Use compact format (default no date): - When <scenario>: <rule>. Avoid <over-application>. Signals: <signals>.

Return

Report files updated, patterns extracted, skipped candidates, and why each memory entry should survive context loss.