Agent skill
insights
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.
Install this agent skill to your Project
npx add-skill https://github.com/rohitg00/pro-workflow/tree/main/skills/insights
SKILL.md
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
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