Reflect

Analyze the current conversation session, extract actionable insights, and persist approved learnings to the appropriate destinations.

Workflow

Phase 1: Conversation Analysis

Scan the full conversation context for significant events:

• •Tasks completed — What was built, fixed, or changed
• •Errors encountered — Build failures, wrong commands, broken tests, misconfigurations
• •User corrections — Rejected approaches, redirections, explicit feedback
• •Decisions made — Architectural choices, trade-offs, tool selections
• •Patterns observed — Repeated workflows, friction points, workarounds used more than once

Filter ruthlessly. Only keep medium/high significance findings — things that would save time or prevent mistakes in future sessions.

Phase 2: Extract Insights

Classify each finding into one of five categories based on where it should be persisted:

For each finding, draft the exact content that would be written (the rule text, the stub, the edit, etc.).

Phase 3: Present Findings

Output a structured report:

## Session Reflection

**Session summary:** [1-2 sentence overview of what happened]
**Findings:** N total across M categories

### Mistakes to Avoid
1. [Finding title] — [Specific rule to add]

### Skill Opportunities
2. [Skill name] — [What it would do, why it's warranted]

### Skill Improvements
3. [Existing skill name] — [What to change and why]

### Memory Candidates
4. [Knowledge item] — [Why it's worth remembering]

### Process Improvements
5. [Workflow change] — [Before → After]

Skip empty categories. If the session is clean (no findings), report "Clean session — no actionable insights found." and stop.

Phase 4: User Decision

Use AskUserQuestion with multi-select to let the user choose which findings to apply. Present each finding as a numbered option.

Then execute only the approved actions:

• •Mistakes to avoid: Append to the "Mistakes to Avoid" section of the project's CLAUDE.md.
• •Skill opportunities: Create a minimal stub at ~/.claude/skills/<name>/SKILL.md with frontmatter (name, description) and a # TODO section describing the skill's purpose. User can flesh it out later with skill-creator.
• •Skill improvements: Show the diff before editing. Edit the existing skill's SKILL.md.
• •Memory candidates: Append to ~/.claude/projects/<path>/CLAUDE.md. Create the file if it doesn't exist.
• •Process improvements: Show the before/after for the affected CLAUDE.md section. Edit in place.

Guidelines

• •Be selective. 2 high-quality findings beats 10 marginal ones. If nothing significant happened, say so.
• •Rules must be specific and actionable. "Be careful with deployments" is noise. "Always verify on-chain bytecode after contract deployment — Foundry logs success during simulation before broadcast" is useful.
• •Check for duplicates. Read the existing "Mistakes to Avoid" section and project memory before proposing additions. Don't add what's already there.
• •Skill opportunities require evidence. Either 2+ occurrences of the same workflow in the session, or explicit user frustration with a repeated manual process.
• •Memory candidates must be non-obvious. Don't propose things already captured in project docs, config files, or CLAUDE.md.
• •Don't self-reference. This skill should never propose adding itself as a finding.
• •Respect scope. Project-specific knowledge goes to project memory. Universal lessons go to CLAUDE.md. Don't mix them.