Session Learner

Analyze the current session to extract learnings and persist them to appropriate locations.

Workflow

Step 1: Analyze Session

Review the entire conversation to identify learnings in these categories:

1. User Preferences - Working style, communication preferences, tool preferences
2. Agent Failure Patterns - Mistakes Claude made, misunderstandings, approaches that didn't work
3. Project Technical Patterns - Code patterns, architecture decisions, project-specific conventions
4. Reusable Workflows - Multi-step procedures that could become skills
5. Reference Knowledge - Architectural decisions, domain knowledge, API behaviors

Step 2: Categorize by Destination

Map each learning to its appropriate destination:

Step 3: Check for Conflicts

Before presenting findings, check if any learning contradicts existing content:

1. Read the target file (user CLAUDE.md, project CLAUDE.md, or relevant docs)
2. Identify any conflicts between new learnings and existing content
3. Flag conflicts explicitly for user decision

Step 4: Present Findings

Present findings grouped by destination. For each group:

1. State the destination file path
2. List each learning with a brief description (1-2 sentences)
3. If conflicts exist, show:
   • The existing content
   • The proposed new content
   • Ask user to choose: keep existing, replace with new, or merge

Format:

## Learnings for ~/.claude/CLAUDE.md

1. [Brief description of learning]
2. [Brief description of learning]

⚠️ CONFLICT: [description]
   Existing: [current content]
   Proposed: [new content]
   Keep existing / Replace / Merge?

## Learnings for [project]/CLAUDE.md

1. [Brief description of learning]

## Learnings for [project]/docs/

1. [Brief description] → docs/[filename].md

## Potential New Skill

1. [Workflow name]: [brief description]

Step 5: Apply Approved Learnings

After user approves (or modifies) findings:

1. For CLAUDE.md files: Append to appropriate section, or create section if needed
2. For docs/: Create or update the markdown file
3. For new skills: Offer to create using the skill-creator skill

Guidelines

• Keep learnings concise and actionable
• Prefer specific examples over abstract principles
• Do not duplicate information already in target files
• When uncertain about destination, ask the user to choose
• Learnings should be evergreen - no temporal references like "today we learned"