| name | worklog-analysis |
| description | Analyze past work logged by the worklog-logging skill. Generates daily standups, weekly summaries, monthly reviews, and performance review material. TRIGGER THIS SKILL when the user says "standup", "what did I do", "weekly summary", "monthly review", "performance review", "resume update", "what have I been working on", or asks to analyze, summarize, or review past work over any timeframe. This skill reads worklog files — it does NOT log new entries. For logging, use worklog-logging.
|
Worklog Analysis
Read past worklog entries and synthesize them for standups, reviews, and career documentation.
Where worklogs live
~/Documents/AI/worklog/
├── 2026-03-08-macbook-pro.md
├── 2026-03-07-mac-mini.md
└── ...
Naming: YYYY-MM-DD-{hostname}.md
Fallback: ~/.claude/worklog/
Use the bundled script for all queries, or read files directly.
Analysis commands
Daily standup
Trigger: "standup", "what did I do yesterday", "daily update"
python "${CLAUDE_PLUGIN_ROOT}/scripts/analyze_worklog.py" --standup
Output format:
🧍 Standup — March 8, 2026
**Yesterday:**
- [Items grouped by project, with session IDs for context]
**Today (carry-over):**
- [Open items from yesterday]
**Blockers:** None
When presenting a standup, keep it tight — this is what the user will paste into Slack or read in a meeting. No fluff.
Weekly summary
Trigger: "weekly summary", "what did I do this week"
python "${CLAUDE_PLUGIN_ROOT}/scripts/analyze_worklog.py" --weekly
Output format:
📊 Week of March 2–8, 2026
**Projects:** [list]
**Sessions:** [count across machines]
**Key accomplishments:**
[Grouped by project, most significant first]
**Technologies:** [aggregated]
**Decisions:** [notable ones]
**Artifacts:** [PRs, deployments, docs]
Monthly review
Trigger: "monthly review", "performance review", "what did I do last month"
python "${CLAUDE_PLUGIN_ROOT}/scripts/analyze_worklog.py" --monthly
Output format:
📈 Monthly Review — February 2026
**Overview:** [1-2 sentences — scope, impact, themes]
**By project:**
- [Project]: [Summary, outcomes, metrics]
**Skills & technologies:** [aggregated — for resume]
**Key achievements:** [Top 3-5 by impact]
**Patterns:** [Time allocation, recurring themes, growth areas]
**Resume-ready bullets:**
- [Impact-oriented achievement with quantification]
- [Another, framed for performance reviews]
The resume-ready bullets translate raw work into impact language. Quantify where possible: "Reduced API latency by 40% by implementing Redis caching layer" not "Improved performance".
Custom queries
Trigger: "what did I do on [date]", "show me [timeframe]"
python "${CLAUDE_PLUGIN_ROOT}/scripts/analyze_worklog.py" --query "2026-03-05"
python "${CLAUDE_PLUGIN_ROOT}/scripts/analyze_worklog.py" --query "this-week"
python "${CLAUDE_PLUGIN_ROOT}/scripts/analyze_worklog.py" --query "2026-03"
Session tracing
Trigger: "what happened in session sess-f3a1", "trace that session"
When the user asks about a specific session, grep the worklog files for that session ID and reconstruct the full timeline of what happened in that session across all its log entries.
python "${CLAUDE_PLUGIN_ROOT}/scripts/analyze_worklog.py" --session "sess-f3a1"
Session grouping
Multi-segment sessions (same sess-XXXX across PreCompact + SessionEnd entries) are automatically grouped into single entries in standup, weekly, and monthly views. Summary bullets are deduplicated within grouped entries.
Individual segments are still visible via --session sess-XXXX trace, which shows the full timeline of all entries for that session.
Analysis tips
When generating reviews (weekly, monthly):
- Read ALL relevant files before synthesizing — don't summarize from a subset
- Cross-reference across machines to build the complete picture
- Deduplicate items that appear in multiple entries (same work logged at different points)
- Highlight decisions and their rationale — these are gold for performance reviews
- Frame achievements by impact, not effort ("Shipped X that enabled Y" not "Spent 3 days on X")
