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: ```bash # 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