Claude Skill

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

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Download hoangsonww-claude-code-agent-monitor-plugins_ccam-productivity_skills_weekly-report-83d4df5.zip · 1 KB
Part of hoangsonww/claude-code-agent-monitor — 86 skills

Install

skills CLI npx skills add https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-productivity/skills/weekly-report
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install hoangsonww-claude-code-agent-monitor@llmmart
Git 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

  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
Files (claude-code-agent-monitor)
  • agents
    • 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
      
  • 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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