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Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware wit...\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-04-05T16:57:41.305Z | user\n\nInitial release — weekly engineering retrospective with team analysis\n\nArchive index:\n\nArchive v1.0.0: 3 files, 5932 bytes\n\nFiles: skill-card.md (2442b), SKILL.md (9832b), _meta.json (140b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: gstack-openclaw-retro\ndescription: Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.\nversion: 1.0.0\nmetadata: { \"openclaw\": { \"emoji\": \"📊\" } }\n---\n\n# Weekly Engineering Retrospective\n\nGenerates a comprehensive engineering retrospective analyzing commit history, work patterns, and code quality metrics. Team-aware: identifies the user running the command, then analyzes every contributor with per-person praise and growth opportunities.\n\n## Arguments\n\n- Default: last 7 days\n- `24h`: last 24 hours\n- `14d`: last 14 days\n- `30d`: last 30 days\n- `compare`: compare current window vs prior same-length window\n\n## Instructions\n\nParse the argument to determine the time window. Default to 7 days. All times should be reported in the user's **local timezone**.\n\n**Midnight-aligned windows:** For day units, compute an absolute start date at local midnight. For example, if today is 2026-03-18 and the window is 7 days, the start date is 2026-03-11. Use `--since=\"2026-03-11T00:00:00\"` for git log queries. For hour units, use `--since=\"N hours ago\"`.\n\n---\n\n### Step 1: Gather Raw Data\n\nFirst, fetch origin and identify the current user:\n\n```bash\ngit fetch origin main --quiet\ngit config user.name\ngit config user.email\n```\n\nThe name returned by `git config user.name` is **\"you\"** ... the person reading this retro. All other authors are teammates.\n\nRun ALL of these git commands (they are independent):\n\n```bash\n# All commits with timestamps, subject, hash, author, files changed\ngit log origin/main --since=\"<window>\" --format=\"%H|%aN|%ae|%ai|%s\" --shortstat\n\n# Per-commit test vs total LOC breakdown with author\ngit log origin/main --since=\"<window>\" --format=\"COMMIT:%H|%aN\" --numstat\n\n# Commit timestamps for session detection and hourly distribution\ngit log origin/main --since=\"<window>\" --format=\"%at|%aN|%ai|%s\" | sort -n\n\n# Files most frequently changed (hotspot analysis)\ngit log origin/main --since=\"<window>\" --format=\"\" --name-only | grep -v '^$' | sort | uniq -c | sort -rn\n\n# PR numbers from commit messages\ngit log origin/main --since=\"<window>\" --format=\"%s\" | grep -oE '[#!][0-9]+' | sort -t'#' -k1 | uniq\n\n# Per-author file hotspots\ngit log origin/main --since=\"<window>\" --format=\"AUTHOR:%aN\" --name-only\n\n# Per-author commit counts\ngit shortlog origin/main --since=\"<window>\" -sn --no-merges\n\n# Test file count\nfind . -name '*.test.*' -o -name '*.spec.*' -o -name '*_test.*' -o -name '*_spec.*' 2>/dev/null | grep -v node_modules | wc -l\n\n# Test files changed in window\ngit log origin/main --since=\"<window>\" --format=\"\" --name-only | grep -E '\\.(test|spec)\\.' | sort -u | wc -l\n```\n\n---\n\n### Step 2: Compute Metrics\n\nCalculate and present these metrics in a summary:\n\n- **Commits to main:** N\n- **Contributors:** N\n- **PRs merged:** N\n- **Total insertions:** N\n- **Total deletions:** N\n- **Net LOC added:** N\n- **Test LOC (insertions):** N\n- **Test LOC ratio:** N%\n- **Version range:** vX.Y.Z → vX.Y.Z\n- **Active days:** N\n- **Detected sessions:** N\n- **Avg LOC/session-hour:** N\n\nThen show a **per-author leaderboard** immediately below:\n\n```\nContributor         Commits   +/-          Top area\nYou (garry)              32   +2400/-300   browse/\nalice                    12   +800/-150    app/services/\nbob                       3   +120/-40     tests/\n```\n\nSort by commits descending. The current user always appears first, labeled \"You (name)\".\n\n---\n\n### Step 3: Commit Time Distribution\n\nShow hourly histogram in local time:\n\n```\nHour  Commits  ████████████████\n 00:    4      ████\n 07:    5      █████\n ...\n```\n\nIdentify:\n- Peak hours\n- Dead zones\n- Bimodal pattern (morning/evening) vs continuous\n- Late-night coding clusters (after 10pm)\n\n---\n\n### Step 4: Work Session Detection\n\nDetect sessions using **45-minute gap** threshold between consecutive commits.\n\nClassify sessions:\n- **Deep sessions** (50+ min)\n- **Medium sessions** (20-50 min)\n- **Micro sessions** (<20 min, single-commit)\n\nCalculate:\n- Total active coding time\n- Average session length\n- LOC per hour of active time\n\n---\n\n### Step 5: Commit Type Breakdown\n\nCategorize by conventional commit prefix (feat/fix/refactor/test/chore/docs). Show as percentage bar:\n\n```\nfeat:     20  (40%)  ████████████████████\nfix:      27  (54%)  ███████████████████████████\nrefactor:  2  ( 4%)  ██\n```\n\nFlag if fix ratio exceeds 50% ... signals a \"ship fast, fix fast\" pattern that may indicate review gaps.\n\n---\n\n### Step 6: Hotspot Analysis\n\nShow top 10 most-changed files. Flag:\n- Files changed 5+ times (churn hotspots)\n- Test files vs production files in the hotspot list\n- VERSION/CHANGELOG frequency\n\n---\n\n### Step 7: PR Size Distribution\n\nEstimate PR sizes and bucket them:\n- **Small** (<100 LOC)\n- **Medium** (100-500 LOC)\n- **Large** (500-1500 LOC)\n- **XL** (1500+ LOC)\n\n---\n\n### Step 8: Focus Score + Ship of the Week\n\n**Focus score:** Percentage of commits touching the single most-changed top-level directory. Higher = deeper focused work. Lower = scattered context-switching.\n\n**Ship of the week:** The single highest-LOC PR in the window. Highlight PR number, LOC changed, and why it matters.\n\n---\n\n### Step 9: Team Member Analysis\n\nFor each contributor (including the current user), compute:\n\n1. **Commits and LOC** ... total commits, insertions, deletions, net LOC\n2. **Areas of focus** ... which directories/files they touched most (top 3)\n3. **Commit type mix** ... their personal feat/fix/refactor/test breakdown\n4. **Session patterns** ... when they code (peak hours), session count\n5. **Test discipline** ... their personal test LOC ratio\n6. **Biggest ship** ... their single highest-impact commit or PR\n\n**For the current user (\"You\"):** Deepest treatment. Include all session analysis, time patterns, focus score. Frame in first person.\n\n**For each teammate:** 2-3 sentences covering what they shipped and their pattern. Then:\n\n- **Praise** (1-2 specific things): Anchor in actual commits. Not \"great work\" ... say exactly what was good.\n- **Opportunity for growth** (1 specific thing): Frame as leveling-up, not criticism. Anchor in actual data.\n\n**If solo repo:** Skip team breakdown.\n\n**AI collaboration:** If commits have `Co-Authored-By` AI trailers, track \"AI-assisted commits\" as a separate metric.\n\n---\n\n### Step 10: Week-over-Week Trends (if window >= 14d)\n\nSplit into weekly buckets and show trends:\n- Commits per week (total and per-author)\n- LOC per week\n- Test ratio per week\n- Fix ratio per week\n- Session count per week\n\n---\n\n### Step 11: Streak Tracking\n\nCount consecutive days with at least 1 commit, going back from today:\n\n```bash\n# Team streak\ngit log origin/main --format=\"%ad\" --date=format:\"%Y-%m-%d\" | sort -u\n\n# Personal streak\ngit log origin/main --author=\"<user_name>\" --format=\"%ad\" --date=format:\"%Y-%m-%d\" | sort -u\n```\n\nDisplay both:\n- \"Team shipping streak: 47 consecutive days\"\n- \"Your shipping streak: 32 consecutive days\"\n\n---\n\n### Step 12: Load History & Compare\n\nCheck for prior retro history in `memory/`:\n\nIf prior retros exist, load the most recent one and calculate deltas:\n\n```\n                    Last        Now         Delta\nTest ratio:         22%    →    41%         ↑19pp\nSessions:           10     →    14          ↑4\nLOC/hour:           200    →    350         ↑75%\nFix ratio:          54%    →    30%         ↓24pp (improving)\n```\n\nIf no prior retros exist, note \"First retro recorded, run again next week to see trends.\"\n\n---\n\n### Step 13: Save Retro History\n\nSave a JSON snapshot to `memory/retro-YYYY-MM-DD.json` with metrics, authors, version range, streak, and tweetable summary.\n\n---\n\n### Step 14: Write the Narrative\n\n**Format for Telegram** (bullets, bold, no markdown tables in the final output).\n\nStructure:\n\n**Tweetable summary** (first line):\n> Week of Mar 1: 47 commits (3 contributors), 3.2k LOC, 38% tests, 12 PRs, peak: 10pm | Streak: 47d\n\nThen sections:\n\n- **Summary** ... key metrics\n- **Trends vs Last Retro** ... deltas (skip if first retro)\n- **Time & Session Patterns** ... when the team codes, session lengths, deep vs micro\n- **Shipping Velocity** ... commit types, PR sizes, fix-chain detection\n- **Code Quality Signals** ... test ratio, hotspots, churn\n- **Focus & Highlights** ... focus score, ship of the week\n- **Your Week** ... personal deep-dive for the current user\n- **Team Breakdown** ... per-teammate analysis with praise + growth (skip if solo)\n- **Top 3 Team Wins** ... highest-impact things shipped\n- **3 Things to Improve** ... specific, actionable, anchored in commits\n- **3 Habits for Next Week** ... small, practical, realistic (<5 min to adopt)\n\n---\n\n## Compare Mode\n\nWhen the user says \"compare\":\n- Run the retro for the current window\n- Run the retro for the prior same-length window\n- Present side-by-side metrics with arrows showing improvement/regression\n- Brief narrative on biggest changes\n\n---\n\n## Important Rules\n\n- **All times in local timezone.** Never set `TZ`.\n- **Format for Telegram.** Use bullets and bold. Avoid markdown tables in the final output.\n- **Praise anchored in commits.** Never say \"great work\" without naming what was good.\n- **Growth areas anchored in data.** Never criticize without evidence.\n- **Save history.** Every retro saves to `memory/` for trend tracking.\n- **Completion status:**\n  - DONE ... retro generated, history saved\n  - DONE_WITH_CONCERNS ... generated but missing data (e.g., no prior retros for comparison)\n  - BLOCKED ... not in a git repo or no commits in window\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn75djax0fb9ap45e32rmt59v9849w35\",\n  \"slug\": \"gstack-openclaw-retro\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1775408261305\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nWeekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[garrytan](https://clawhub.ai/user/garrytan)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and engineering teams use this skill to generate weekly or comparative retrospectives from git history, including commit metrics, contributor summaries, code-quality signals, and follow-up habits.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill can create persistent local records of named contributor activity, coding-time patterns, streaks, productivity metrics, and growth areas.\n\nMitigation: Use it only with team awareness and agreement, and define retention and deletion rules for files written under memory/.\n\nRisk: Retrospective output may expose sensitive team-performance or work-pattern details when copied into shared channels.\n\nMitigation: Review generated retrospectives before sharing, remove unnecessary personal details, and anonymize contributor-specific metrics when appropriate.\n\nRisk: Automatic history saving may keep more contributor-level context than a repository owner expects.\n\nMitigation: Add an opt-in save step or disable history persistence when local historical records are not needed.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/garrytan/skills/gstack-openclaw-retro)\n- [Publisher profile](https://clawhub.ai/user/garrytan)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, shell commands, analysis, files]\n\n**Output Format:** [Telegram-oriented Markdown narrative with metrics, bullets, and a saved JSON history snapshot]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Uses a requested retrospective window such as 24h, 14d, 30d, or compare; saves local history under memory/.]\n\n## Skill Version(s):\n\n1.0.0 (source: frontmatter and server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.","readmeExcerpt":"Skill: gstack Retro Owner: garrytan Summary: Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware wit... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-05T16:57:41.305Z | user Initial release — weekly engineering retrospective with team analysis Archive index: Archive v1.0.0: 3 files, 5932 bytes Files: skill-car","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"git fetch origin main --quiet\ngit config user.name\ngit config user.email"},{"language":"bash","snippet":"# All commits with timestamps, subject, hash, author, files changed\ngit log origin/main --since=\"<window>\" --format=\"%H|%aN|%ae|%ai|%s\" --shortstat\n\n# Per-commit test vs total LOC breakdown with author\ngit log origin/main --since=\"<window>\" --format=\"COMMIT:%H|%aN\" --numstat\n\n# Commit timestamps for session detection and hourly distribution\ngit log origin/main --since=\"<window>\" --format=\"%at|%aN|%ai|%s\" | sort -n\n\n# Files most frequently changed (hotspot analysis)\ngit log origin/main --since=\"<window>\" --format=\"\" --name-only | grep -v '^$' | sort | uniq -c | sort -rn\n\n# PR numbers from commit messages\ngit log origin/main --since=\"<window>\" --format=\"%s\" | grep -oE '[#!][0-9]+' | sort -t'#' -k1 | uniq\n\n# Per-author file hotspots\ngit log origin/main --since=\"<window>\" --format=\"AUTHOR:%aN\" --name-only\n\n# Per-author commit counts\ngit shortlog origin/main --since=\"<window>\" -sn --no-merges\n\n# Test file count\nfind . -name '*.test.*' -o -name '*.spec.*' -o -name '*_test.*' -o -name '*_spec.*' 2>/dev/null | grep -v node_modules | wc -l\n\n# Test files changed in window\ngit log origin/main --since=\"<window>\" --format=\"\" --name-only | grep -E '\\.(test|spec)\\.' | sort -u | wc -l"},{"language":"text","snippet":"Contributor         Commits   +/-          Top area\nYou (garry)              32   +2400/-300   browse/\nalice                    12   +800/-150    app/services/\nbob                       3   +120/-40     tests/"},{"language":"text","snippet":"Hour  Commits  ████████████████\n 00:    4      ████\n 07:    5      █████\n ..."},{"language":"text","snippet":"feat:     20  (40%)  ████████████████████\nfix:      27  (54%)  ███████████████████████████\nrefactor:  2  ( 4%)  ██"},{"language":"bash","snippet":"# Team streak\ngit log origin/main --format=\"%ad\" --date=format:\"%Y-%m-%d\" | sort -u\n\n# Personal streak\ngit log origin/main --author=\"<user_name>\" --format=\"%ad\" --date=format:\"%Y-%m-%d\" | sort -u"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: gstack-openclaw-retro\ndescription: Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.\nversion: 1.0.0\nmetadata: { \"openclaw\": { \"emoji\": \"📊\" } }\n---\n\n# Weekly Engineering Retrospective\n\nGenerates a comprehensive engineering retrospective analyzing commit history, work patterns, and code quality metrics. Team-aware: identifies the user running the command, then analyzes every contributor with per-person praise and growth opportunities.\n\n## Arguments\n\n- Default: last 7 days\n- `24h`: last 24 hours\n- `14d`: last 14 days\n- `30d`: last 30 days\n- `compare`: compare current window vs prior same-length window\n\n## Instructions\n\nParse the argument to determine the time window. Default to 7 days. All times should be reported in the user's **local timezone**.\n\n**Midnight-aligned windows:** For day units, compute an absolute start date at local midnight. For example, if today is 2026-03-18 and the window is 7 days, the start date is 2026-03-11. Use `--since=\"2026-03-11T00:00:00\"` for git log queries. For hour units, use `--since=\"N hours ago\"`.\n\n---\n\n### Step 1: Gather Raw Data\n\nFirst, fetch origin and identify the current user:\n\n```bash\ngit fetch origin main --quiet\ngit config user.name\ngit config user.email\n```\n\nThe name returned by `git config user.name` is **\"you\"** ... the person reading this retro. All other authors are teammates.\n\nRun ALL of these git commands (they are independent):\n\n```bash\n# All commits with timestamps, subject, hash, author, files changed\ngit log origin/main --since=\"<window>\" --format=\"%H|%aN|%ae|%ai|%s\" --shortstat\n\n# Per-commit test vs total LOC breakdown with author\ngit log origin/main --since=\"<window>\" --format=\"COMMIT:%H|%aN\" --numstat\n\n# Commit timestamps for session detection and hourly distribution\ngit log origin/main --since=\"<window>\" --format=\"%at|%aN|%ai|%s\" | sort -n\n\n# Files most frequently changed (hotspot analysis)\ngit log origin/main --since=\"<window>\" --format=\"\" --name-only | grep -v '^$' | sort | uniq -c | sort -rn\n\n# PR numbers from commit messages\ngit log origin/main --since=\"<window>\" --format=\"%s\" | grep -oE '[#!][0-9]+' | sort -t'#' -k1 | uniq\n\n# Per-author file hotspots\ngit log origin/main --since=\"<window>\" --format=\"AUTHOR:%aN\" --name-only\n\n# Per-author commit counts\ngit shortlog origin/main --since=\"<window>\" -sn --no-merges\n\n# Test file count\nfind . -name '*.test.*' -o -name '*.spec.*' -o -name '*_test.*' -o -name '*_spec.*' 2>/dev/null | grep -v node_modules | wc -l\n\n# Test files changed in window\ngit log origin/main --since=\"<window>\" --format=\"\" --name-only | grep -E '\\.(test|spec)\\.' | sort -u | wc -l\n```\n\n---\n\n### Step 2: Compute Metrics\n\nCalculate and present these metrics in a summary:\n\n- **Commits to main:** N\n- **Contributors:** N\n- **PRs m"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn75djax0fb9ap45e32rmt59v9849w35\",\n  \"slug\": \"gstack-openclaw-retro\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1775408261305\n}"},{"path":"skill-card.md","content":"## Description:\n\nWeekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[garrytan](https://clawhub.ai/user/garrytan)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and engineering teams use this skill to generate weekly or comparative retrospectives from git history, including commit metrics, contributor summaries, code-quality signals, and follow-up habits.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill can create persistent local records of named contributor activity, coding-time patterns, streaks, productivity metrics, and growth areas.\n\nMitigation: Use it only with team awareness and agreement, and define retention and deletion rules for files written under memory/.\n\nRisk: Retrospective output may expose sensitive team-performance or work-pattern details when copied into shared channels.\n\nMitigation: Review generated retrospectives before sharing, remove unnecessary personal details, and anonymize contributor-specific metrics when appropriate.\n\nRisk: Automatic history saving may keep more contributor-level context than a repository owner expects.\n\nMitigation: Add an opt-in save step or disable history persistence when local historical records are not needed.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/garrytan/skills/gstack-openclaw-retro)\n- [Publisher profile](https://clawhub.ai/user/garrytan)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, shell commands, analysis, files]\n\n**Output Format:** [Telegram-oriented Markdown narrative with metrics, bullets, and a saved JSON history snapshot]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Uses a requested retrospective window such as 24h, 14d, 30d, or compare; saves local history under memory/.]\n\n## Skill Version(s):\n\n1.0.0 (source: frontmatter and server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware wit... Skill: gstack Retro Owner: garrytan Summary: Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware wit... 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