From pro-workflow
Analyzes Claude Code session history and learnings database — shows duration, file edits, correction patterns, learning categories, and productivity metrics.
How this command is triggered — by the user, by Claude, or both
Slash command
/pro-workflow:insightsThe summary Claude sees in its command listing — used to decide when to auto-load this command
# /insights - Session & Learning Analytics Surface patterns from your pro-workflow learnings and session history. ## Usage ## What It Shows ### Session Summary Current session stats: ### Learning Analytics Query the learnings database for patterns: ### Correction Patterns Show what types of mistakes are recurring: ### Correction Heatmap Show which files and patterns get corrected most across all sessions: ### Productivity Metrics ## How to Query Run these SQLite queries against `~/.pro-workflow/data.db`: **Heatmap by category:** **Correction rate by project:** **H...
Surface patterns from your pro-workflow learnings and session history.
/insights
/insights session
/insights learnings
/insights corrections
/insights heatmap
Current session stats:
Session Insights
Duration: 47 min
Edits: 23 files modified
Corrections: 2 self-corrections applied
Learnings: 3 new patterns captured
Context: 62% used (safe)
Query the learnings database for patterns:
Learning Insights (42 total)
Top categories:
Testing 12 learnings (29%)
Navigation 8 learnings (19%)
Git 7 learnings (17%)
Quality 6 learnings (14%)
Editing 5 learnings (12%)
Other 4 learnings (10%)
Most applied:
#12 [Testing] Run tests before commit — 15 times
#8 [Navigation] Confirm path for common names — 11 times
#23 [Git] Use feature branches always — 9 times
Recent learnings (last 7 days):
#42 [Claude-Code] Compact at task boundaries
#41 [Prompting] Include acceptance criteria
#40 [Architecture] Plan before multi-file edits
Stale learnings (never applied):
#15 [Editing] Prefer named exports — 0 times (45 days old)
#19 [Context] Ask before large refactors — 0 times (30 days old)
Show what types of mistakes are recurring:
Correction Patterns
Most corrected areas:
File navigation 5 corrections
Test coverage 3 corrections
Commit messages 2 corrections
Trend: Navigation errors decreasing (5 → 2 per week)
Trend: Testing corrections stable (1 per week)
Suggestions:
- Add path confirmation rule to CLAUDE.md (3+ corrections)
- Consider /learn-rule for test patterns
Show which files and patterns get corrected most across all sessions:
Correction Heatmap
By category (all time):
████████████ Testing 34 corrections
████████ Navigation 22 corrections
██████ Git 18 corrections
████ Quality 12 corrections
███ Editing 9 corrections
██ Architecture 6 corrections
By project:
my-api corrections_rate: 23% (high — review patterns)
my-frontend corrections_rate: 8% (healthy)
my-cli corrections_rate: 4% (excellent)
Adaptive quality gates:
Current threshold: 5 edits (tighter — 18% correction rate)
If rate drops below 15%: gates relax to 8 edits
If rate drops below 5%: gates relax to 10 edits
Hot learnings (most corrected, least learned):
- [Testing] Mock external dependencies — corrected 8x, learned 0x
→ Consider: /learn-rule to capture this permanently
- [Navigation] Check file exists before editing — corrected 5x, learned 1x
→ Pattern keeps recurring despite learning
Cold learnings (learned but never applied):
- [Editing] Use named exports — learned 45 days ago, applied 0x
→ Consider removing if no longer relevant
Productivity (last 10 sessions)
Avg session: 35 min
Avg edits/session: 18
Correction rate: 12% (improving)
Learning capture: 2.1 per session
Best session: 2026-02-01 (28 edits, 0 corrections)
Most productive hour: 10-11am
Run these SQLite queries against ~/.pro-workflow/data.db:
Heatmap by category:
SELECT category, COUNT(*) as count
FROM learnings
WHERE mistake IS NOT NULL
GROUP BY category
ORDER BY count DESC
Correction rate by project:
SELECT project,
SUM(corrections_count) as total_corrections,
SUM(edit_count) as total_edits,
ROUND(CAST(SUM(corrections_count) AS FLOAT) / NULLIF(SUM(edit_count), 0) * 100, 1) as rate
FROM sessions
WHERE project IS NOT NULL
GROUP BY project
ORDER BY rate DESC
Hot learnings (most corrected patterns):
SELECT category, rule, times_applied,
(SELECT COUNT(*) FROM sessions WHERE corrections_count > 0) as correction_sessions
FROM learnings
WHERE mistake IS NOT NULL
ORDER BY times_applied ASC, created_at ASC
LIMIT 10
/list - Browse all learnings/search <query> - Find specific learnings/learn-rule - Capture a new learning/replay - Surface learnings for current task/wrap-up - End-of-session with learning captureTrigger: Use when user asks "show stats", "how am I doing", "what patterns", "analytics", "insights", "heatmap", "correction rate", or wants to understand their learning trajectory.
npx claudepluginhub glowelephant/pro-workflow5plugins reuse this command
First indexed Feb 6, 2026
/insightsAnalyzes Claude Code session history and learnings database — shows duration, file edits, correction patterns, learning categories, and productivity metrics.
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/learning-statusDisplays learning metrics dashboard showing reviews analyzed, issue trends by category/severity, recurring issues, improvement effectiveness, and recommendations.
/fire-analyticsAnalyzes skills library usage and effectiveness metrics, showing applied skills, time savings, success rates, and gaps. Supports filters for category, time period, and export.
/insightsGenerates weekly or monthly insights from journal entries using pattern recognition and panel feedback.