weekly-report
Compile a weekly productivity report using Agent Monitor data — daily_sessions and daily_events trends, per-session costs from pricing engine, token volumes (input/output/cache_read/cache_write + baselines), tool usage top 20, session completion rates by status, and workflow inte
Install
npx skills add https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-productivity/skills/weekly-report
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install hoangsonww-claude-code-agent-monitor@llmmart
git clone https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole hoangsonww/claude-code-agent-monitor collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Weekly Report
Generate a comprehensive weekly productivity report from Agent Monitor data.
Input
The user provides: $ARGUMENTS
This may be:
- "this week" or empty (default: current week Mon-Sun)
- "last week" for the previous week
- A date range: "2025-04-07 to 2025-04-13"
Procedure
Fetch weekly data from
http://localhost:4820:GET /api/sessions?limit=200— filter to target week (default sort: most recently updated first)GET /api/analytics— aggregated analyticsGET /api/pricing/cost— cost data
Build the weekly report:
📊 Week at a Glance
Metric This Week Last Week Change Sessions N N ↑/↓ N% Total Hours N N ↑/↓ N% Tokens Used N N ↑/↓ N% Total Cost $X.XX $X.XX ↑/↓ N% Completion Rate N% N% ↑/↓ 🏆 Highlights
- Most productive day (by sessions completed)
- Longest session and what it accomplished
- Most used tools and any new tools adopted
- Notable achievements (complex tasks completed, errors resolved)
📈 Daily Breakdown
| Day | Sessions | Hours | Cost | Completion | |-----|----------|-------|------|------------| For each day of the week with activity.
🔧 Tool Usage Report
- Top 10 tools by invocation count
- Tools with highest error rate
- Tool usage distribution chart (text-based)
💡 Productivity Insights
- Peak productivity hours
- Average session duration and trend
- Cost efficiency trend
- Model usage distribution
🎯 Recommendations for Next Week
- Based on error patterns: what to improve
- Based on cost trends: optimization opportunities
- Based on tool usage: workflow suggestions
Output Format
Professional report format with:
- Executive summary (3 sentences max)
- Structured tables with week-over-week comparisons
- Emoji-prefixed section headers for scannability
- Actionable recommendations in priority order
Files (claude-code-agent-monitor)
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agents
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openai.yaml 263 B
interface: display_name: "Weekly Report" short_description: "Compile a weekly productivity report using Agent Monitor..." default_prompt: "Use $weekly-report to inspect CCAM data and complete this workflow safely." policy: allow_implicit_invocation: true
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SKILL.md 2.4 KB
--- name: weekly-report description: > Compile a weekly productivity report using Agent Monitor data — daily_sessions and daily_events trends, per-session costs from pricing engine, token volumes (input/output/cache_read/cache_write + baselines), tool usage top 20, session completion rates by status, and workflow intelligence metrics. --- # Weekly Report Generate a comprehensive weekly productivity report from Agent Monitor data. ## Input The user provides: **$ARGUMENTS** This may be: - "this week" or empty (default: current week Mon-Sun) - "last week" for the previous week - A date range: "2025-04-07 to 2025-04-13" ## Procedure 1. **Fetch weekly data** from `http://localhost:4820`: - `GET /api/sessions?limit=200` — filter to target week (default sort: most recently updated first) - `GET /api/analytics` — aggregated analytics - `GET /api/pricing/cost` — cost data 2. **Build the weekly report**: ### 📊 Week at a Glance | Metric | This Week | Last Week | Change | |--------|-----------|-----------|--------| | Sessions | N | N | ↑/↓ N% | | Total Hours | N | N | ↑/↓ N% | | Tokens Used | N | N | ↑/↓ N% | | Total Cost | $X.XX | $X.XX | ↑/↓ N% | | Completion Rate | N% | N% | ↑/↓ | ### 🏆 Highlights - Most productive day (by sessions completed) - Longest session and what it accomplished - Most used tools and any new tools adopted - Notable achievements (complex tasks completed, errors resolved) ### 📈 Daily Breakdown | Day | Sessions | Hours | Cost | Completion | |-----|----------|-------|------|------------| For each day of the week with activity. ### 🔧 Tool Usage Report - Top 10 tools by invocation count - Tools with highest error rate - Tool usage distribution chart (text-based) ### 💡 Productivity Insights - Peak productivity hours - Average session duration and trend - Cost efficiency trend - Model usage distribution ### 🎯 Recommendations for Next Week - Based on error patterns: what to improve - Based on cost trends: optimization opportunities - Based on tool usage: workflow suggestions ## Output Format Professional report format with: - Executive summary (3 sentences max) - Structured tables with week-over-week comparisons - Emoji-prefixed section headers for scannability - Actionable recommendations in priority order
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