insights
Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history
Install / Use
npx skills add rohitg00/pro-workflow --skill insightsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Data & AnalyticsSupported Platforms
Tags
Our assessment of insights
insights scores 90/100 on our quality scale, 200th of 491 Data & Analytics skills we index (top 41%).
Its SKILL.md is 2.8 KB long, well organised into 12 sections with 5 code examples: a solid amount of guidance for an agent.
With 2,876 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 8 days ago, so insights is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
insights compared with similar skills
All 4 of these similar skills score higher than insights; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| insights (this skill)by rohitg00 | 90 | 2.9k | 8d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 9d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 9d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 11d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install insights?
- Run
npx skills add rohitg00/pro-workflow --skill insights. The install tabs above show the steps for each supported agent. - Which AI agents does insights work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is insights safe to use?
- It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is insights still maintained?
- The repository was last updated 8 days ago, so insights is actively maintained.
Skill content
View source on GitHubname: 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. user-invocable: true
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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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
