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    melodic-software

    piter-setup

    melodic-software/piter-setup
    AI & ML
    19

    About

    SKILL.md

    Install

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    ├─
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    About

    Set up PITER framework elements for AFK agent systems. Use when configuring prompt input sources, triggers, environments, and review processes for autonomous agent workflows.

    SKILL.md

    PITER Setup

    Guide for setting up the PITER framework elements to enable AFK (Away From Keyboard) agent systems.

    When to Use

    • Configuring GitHub as prompt input source
    • Setting up webhook or cron triggers
    • Preparing a dedicated agent environment
    • Designing the review process
    • Moving from in-loop to out-of-loop agentic coding

    PITER Overview

    Element Question Common Implementation
    P Where do tasks come from? GitHub Issues
    I What type of work is this? LLM Classification
    T When does work start? Webhooks / Cron
    E Where do agents run? Dedicated VM/Sandbox
    R How is work validated? Pull Requests

    Setup Workflow

    1. Configure Prompt Input (P)

    GitHub Issues Setup

    # Verify GitHub CLI is authenticated
    gh auth status
    
    # Test issue creation
    gh issue create --title "Test Issue" --body "Testing ADW prompt input"
    
    # Test issue fetching
    gh issue view 1 --json title,body,labels
    

    Issue structure becomes the prompt:

    Title: Add user authentication
    Body: We need OAuth with Google provider...
    Labels: feature, priority-high
    
    → Becomes: "/feature Add user authentication..."
    

    2. Configure Classification (I)

    Create /classify-issue command:

    # Issue Classification
    
    Analyze the issue and respond with exactly one of:
    - /chore - for maintenance, updates, cleanup
    - /bug - for defects, errors, unexpected behavior
    - /feature - for new functionality
    
    ## Issue
    $ARGUMENTS
    

    Test classification:

    claude -p "/classify-issue 'Fix login button not working'"
    # Expected: /bug
    
    claude -p "/classify-issue 'Update dependencies'"
    # Expected: /chore
    

    3. Configure Trigger (T)

    Option A: Cron Polling

    # trigger_cron.py (simplified)
    import time
    
    POLL_INTERVAL = 20  # seconds
    
    while True:
        issues = get_unprocessed_issues()
        for issue in issues:
            run_adw(issue.number)
        time.sleep(POLL_INTERVAL)
    

    Unprocessed = no comments OR latest comment is "adw"

    Option B: Webhook

    # trigger_webhook.py (simplified)
    from flask import Flask, request
    
    app = Flask(__name__)
    
    @app.route("/gh-webhook", methods=["POST"])
    def handle_webhook():
        event = request.json
        if is_new_issue(event):
            run_adw(event["issue"]["number"])
        return "OK"
    

    Webhook setup:

    1. Set up tunnel (ngrok/cloudflare)
    2. Configure webhook in GitHub repo settings
    3. Select events: Issues, Issue comments

    4. Configure Environment (E)

    Environment checklist:

    # Verify Claude Code
    claude --version
    
    # Verify API key
    echo $ANTHROPIC_API_KEY | head -c 10
    
    # Verify GitHub access
    gh auth status
    
    # Verify repository
    git remote -v
    
    # Test templates
    claude -p "/chore test" --dry-run
    

    Create .env file (never commit):

    ANTHROPIC_API_KEY=sk-ant-...
    GITHUB_TOKEN=ghp_...
    CLAUDE_CODE_PATH=claude
    

    5. Configure Review (R)

    PR-based review:

    # Test PR creation
    gh pr create \
      --title "Test PR" \
      --body "Testing ADW review process" \
      --base main \
      --head feature-test
    

    Branch protection (recommended):

    • Require pull request reviews
    • Require status checks to pass
    • Require linear history

    Validation Checklist

    Prompt Input (P)

    • GitHub CLI authenticated
    • Can create issues
    • Can fetch issue details
    • Issue format understood

    Classification (I)

    • /classify-issue command works
    • Correctly classifies chores
    • Correctly classifies bugs
    • Correctly classifies features

    Trigger (T)

    • Trigger method chosen (cron/webhook)
    • Trigger script running
    • Events detected correctly
    • ADW invoked on trigger

    Environment (E)

    • Dedicated environment available
    • API keys configured
    • Claude Code accessible
    • Templates tested
    • Permissions configured

    Review (R)

    • PR creation works
    • Issue linking works
    • Branch protection configured
    • Review process documented

    Quick Test Workflow

    # 1. Create test issue
    gh issue create --title "Test: Update README" --body "Add installation section"
    
    # 2. Manually run ADW
    python adws/adw_plan_build.py <issue_number>
    
    # 3. Verify PR created
    gh pr list --state open
    
    # 4. Review and close
    gh pr view <pr_number>
    

    Common Issues

    Authentication Failures

    # Refresh GitHub auth
    gh auth login
    
    # Verify API key
    curl -H "x-api-key: $ANTHROPIC_API_KEY" \
      https://api.anthropic.com/v1/models
    

    Webhook Not Receiving

    • Check tunnel is running
    • Verify webhook URL in GitHub settings
    • Check webhook secret matches
    • Look at GitHub webhook delivery logs

    Classification Accuracy

    • Improve prompt with examples
    • Add edge case handling
    • Consider multi-label issues

    Related Memory Files

    • @piter-framework.md - Full PITER reference
    • @adw-anatomy.md - ADW structure
    • @outloop-checklist.md - Deployment checklist

    Version History

    • v1.0.0 (2025-12-26): Initial release

    Last Updated

    Date: 2025-12-26 Model: claude-opus-4-5-20251101

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