insights

Session Insights

Surface patterns from learnings and session history.

Trigger

Use when asking "show stats", "how am I doing", "analytics", "insights", "heatmap", or "correction rate".

Data Sources

Gather data from these locations before computing metrics:

# Session history and learnings
cat .claude/LEARNED.md 2>/dev/null || cat CLAUDE.md | grep -A999 "LEARNED"
cat .claude/learning-log.md 2>/dev/null

Session activity

git log --oneline --since="today" --author="$(git config user.name)" git diff --stat

A **correction** is any instance where the user redirected, fixed, or overrode agent output during a session. Count `[LEARN]` entries and explicit correction markers in session history.

## What It Shows

### Session Summary

Session Insights Duration: 47 min Edits: 23 files modified Corrections: 2 self-corrections applied Learnings: 3 new patterns captured Context: 62% used (safe)

### Learning Analytics

Learning Insights (42 total)

Top categories: Testing 12 learnings (29%) Navigation 8 learnings (19%) Git 7 learnings (17%) Quality 6 learnings (14%)

Most applied: #12 [Testing] Run tests before commit — 15 times #8 [Navigation] Confirm path for common names — 11 times

Stale learnings (never applied): #15 [Editing] Prefer named exports — 0 times (45 days old)

### Correction Heatmap

Correction Heatmap

By category (all time): ████████████ Testing 34 corrections ████████ Navigation 22 corrections ██████ Git 18 corrections ████ Quality 12 corrections

Hot learnings (most corrected, least learned):

• [Testing] Mock external deps — corrected 8x, learned 0x → Consider: /learn-rule to capture this permanently

Cold learnings (learned but never applied):

• [Editing] Use named exports — learned 45 days ago, applied 0x → Consider removing if no longer relevant

### Productivity Metrics

Productivity (last 10 sessions) Avg session: 35 min Avg edits/session: 18 Correction rate: 12% (improving) Learning capture: 2.1 per session

## Guardrails

- Use actual data from project memory and session history.
- Surface actionable suggestions, not just numbers.
- Flag recurring corrections that should become permanent rules.
- Identify stale learnings that may no longer be relevant.

## Output

Formatted analytics report with:
- Current session stats
- Category breakdown
- Most/least applied learnings
- Correction trends with suggestions
- Productivity metrics over time