Claude Skill

daily-standup

Generate a daily standup summary from recent Claude Code sessions — completed work grouped by project (cwd), session costs from the pricing engine, tool invocations, error/compaction/APIError events, and turn velocity metrics from session metadata (turn_count, total_turn_duration

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Download hoangsonww-claude-code-agent-monitor-plugins_ccam-productivity_skills_daily-standup-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/daily-standup
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

Daily Standup

Generate a daily standup report from Claude Code Agent Monitor data.

Input

The user provides: $ARGUMENTS

This may be:

  • "today" or empty (default: last 24 hours)
  • "yesterday" for the previous day
  • A specific date: "2025-04-10"

Procedure

  1. Fetch recent session data from http://localhost:4820:

    • GET /api/sessions?limit=50 (default sort: most recently updated first)
    • Filter sessions that started within the target day
    • For each matching session: GET /api/events?session_id={session_id}
  2. Compile standup sections:

    ✅ What I accomplished

    • List each completed session with:
      • Brief description (from session name or first tool's context)
      • Working directory (project context)
      • Key tools used and outcomes
      • Duration and model used
    • Group by project/working directory if multiple

    ⚠️ Issues encountered

    • Sessions that ended in error or abandoned status
    • Tools that failed (from error events)
    • Compaction events (hit context limits)
    • Unusually long sessions (>2x average duration)

    📋 Key metrics

    • Total sessions: N
    • Total time spent: X hours Y minutes
    • Tools invoked: N (top 3 listed)
    • Estimated cost: $X.XX
    • Completion rate: N%

    🔮 Suggested focus areas

    • Based on incomplete/error sessions, suggest what to revisit
    • Based on tool patterns, suggest workflow improvements
  3. Format for standup:

    • Keep it concise — aim for a 2-minute read
    • Lead with accomplishments
    • Be honest about blockers
    • Make metrics scannable

Output Format

Present as a clean standup report with emoji section headers, bullet points for items, and a compact metrics table. Add a one-line summary at the top suitable for pasting into Slack or a team channel.

Files (claude-code-agent-monitor)
  • agents
    • openai.yaml 263 B
      interface:
        display_name: "Daily Standup"
        short_description: "Generate a daily standup summary from recent Claude Code..."
        default_prompt: "Use $daily-standup to inspect CCAM data and complete this workflow safely."
      policy:
        allow_implicit_invocation: true
      
  • SKILL.md 2.1 KB
    ---
    name: daily-standup
    description: >
      Generate a daily standup summary from recent Claude Code sessions — completed
      work grouped by project (cwd), session costs from the pricing engine,
      tool invocations, error/compaction/APIError events, and turn velocity
      metrics from session metadata (turn_count, total_turn_duration_ms).
    ---
    
    # Daily Standup
    
    Generate a daily standup report from Claude Code Agent Monitor data.
    
    ## Input
    
    The user provides: **$ARGUMENTS**
    
    This may be:
    - "today" or empty (default: last 24 hours)
    - "yesterday" for the previous day
    - A specific date: "2025-04-10"
    
    ## Procedure
    
    1. **Fetch recent session data** from `http://localhost:4820`:
       - `GET /api/sessions?limit=50` (default sort: most recently updated first)
       - Filter sessions that started within the target day
       - For each matching session: `GET /api/events?session_id={session_id}`
    
    2. **Compile standup sections**:
    
       ### ✅ What I accomplished
       - List each completed session with:
         - Brief description (from session name or first tool's context)
         - Working directory (project context)
         - Key tools used and outcomes
         - Duration and model used
       - Group by project/working directory if multiple
    
       ### ⚠️ Issues encountered
       - Sessions that ended in `error` or `abandoned` status
       - Tools that failed (from error events)
       - Compaction events (hit context limits)
       - Unusually long sessions (>2x average duration)
    
       ### 📋 Key metrics
       - Total sessions: N
       - Total time spent: X hours Y minutes
       - Tools invoked: N (top 3 listed)
       - Estimated cost: $X.XX
       - Completion rate: N%
    
       ### 🔮 Suggested focus areas
       - Based on incomplete/error sessions, suggest what to revisit
       - Based on tool patterns, suggest workflow improvements
    
    3. **Format for standup**:
       - Keep it concise — aim for a 2-minute read
       - Lead with accomplishments
       - Be honest about blockers
       - Make metrics scannable
    
    ## Output Format
    
    Present as a clean standup report with emoji section headers, bullet points for items, and a compact metrics table. Add a one-line summary at the top suitable for pasting into Slack or a team channel.
    

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