| name | insights |
| description | Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard. |
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:
cat .claude/LEARNED.md 2>/dev/null || cat CLAUDE.md | grep -A999 "LEARNED"
cat .claude/learning-log.md 2>/dev/null
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
