Claude Skill

data-export

Export Claude Code session and analytics data in JSON, CSV, or Markdown formats. Supports exporting sessions, events, costs, and analytics for external analysis or reporting. Use for data backup or integration.

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Download hoangsonww-claude-code-agent-monitor-plugins_ccam-devtools_skills_data-export-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-devtools/skills/data-export
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

Data Export

Export Agent Monitor data in various formats.

Input

The user provides: $ARGUMENTS

This may be:

  • A data type: "sessions", "events", "analytics", "costs", "all"
  • A format: "json", "csv", "markdown" (default: json)
  • A filter: "last 7 days", "session ", "completed only"
  • Combined: "sessions csv last 30 days"

Procedure

  1. Parse the request to determine:

    • Data scope: which data to export
    • Format: output format
    • Filters: time range, status, session ID
  2. Fetch data from http://localhost:4820:

    • Sessions: GET /api/sessions?limit=1000
    • Events: GET /api/events?limit=5000
    • Analytics: GET /api/analytics
    • Costs: GET /api/pricing/cost
    • Full export: GET /api/settings/export
  3. Transform to requested format:

    JSON Format

    Pretty-printed JSON with metadata header:

    {
      "export": {
        "source": "Claude Code Agent Monitor",
        "exported_at": "2025-04-11T12:00:00Z",
        "filters": { "type": "sessions", "range": "last 7 days" },
        "count": 42
      },
      "data": [...]
    }
    

    CSV Format

    Standard CSV with headers, proper quoting, and ISO timestamps:

    id,name,status,model,started_at,ended_at,duration_minutes,cost_usd
    

    Markdown Format

    Human-readable tables with summary statistics:

    # Agent Monitor Export — Sessions (Last 7 Days)
    | ID | Name | Status | Model | Duration | Cost |
    |...
    **Total: 42 sessions, $12.34 cost**
    
  4. Output the data:

    • For small exports (<100 rows): output directly
    • For large exports: save to file and report the path
    • Include row count and any filter notes

Output Format

Deliver the exported data in the requested format. Always include:

  • Export metadata (when, what, filters applied)
  • Row/record count
  • Suggested filename for saving
Files (claude-code-agent-monitor)
  • agents
    • openai.yaml 262 B
      interface:
        display_name: "Data Export"
        short_description: "Export Claude Code session and analytics data in JSON, CSV,..."
        default_prompt: "Use $data-export to inspect CCAM data and complete this workflow safely."
      policy:
        allow_implicit_invocation: true
      
  • SKILL.md 2.1 KB
    ---
    name: data-export
    description: >
      Export Claude Code session and analytics data in JSON, CSV, or Markdown
      formats. Supports exporting sessions, events, costs, and analytics
      for external analysis or reporting. Use for data backup or integration.
    ---
    
    # Data Export
    
    Export Agent Monitor data in various formats.
    
    ## Input
    
    The user provides: **$ARGUMENTS**
    
    This may be:
    - A data type: "sessions", "events", "analytics", "costs", "all"
    - A format: "json", "csv", "markdown" (default: json)
    - A filter: "last 7 days", "session {id}", "completed only"
    - Combined: "sessions csv last 30 days"
    
    ## Procedure
    
    1. **Parse the request** to determine:
       - Data scope: which data to export
       - Format: output format
       - Filters: time range, status, session ID
    
    2. **Fetch data** from `http://localhost:4820`:
       - Sessions: `GET /api/sessions?limit=1000`
       - Events: `GET /api/events?limit=5000`
       - Analytics: `GET /api/analytics`
       - Costs: `GET /api/pricing/cost`
       - Full export: `GET /api/settings/export`
    
    3. **Transform to requested format**:
    
       ### JSON Format
       Pretty-printed JSON with metadata header:
       ```json
       {
         "export": {
           "source": "Claude Code Agent Monitor",
           "exported_at": "2025-04-11T12:00:00Z",
           "filters": { "type": "sessions", "range": "last 7 days" },
           "count": 42
         },
         "data": [...]
       }
       ```
    
       ### CSV Format
       Standard CSV with headers, proper quoting, and ISO timestamps:
       ```
       id,name,status,model,started_at,ended_at,duration_minutes,cost_usd
       ```
    
       ### Markdown Format
       Human-readable tables with summary statistics:
       ```markdown
       # Agent Monitor Export — Sessions (Last 7 Days)
       | ID | Name | Status | Model | Duration | Cost |
       |...
       **Total: 42 sessions, $12.34 cost**
       ```
    
    4. **Output the data**:
       - For small exports (<100 rows): output directly
       - For large exports: save to file and report the path
       - Include row count and any filter notes
    
    ## Output Format
    
    Deliver the exported data in the requested format. Always include:
    - Export metadata (when, what, filters applied)
    - Row/record count
    - Suggested filename for saving
    

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