Chief Wiggum

Agentic SDLC orchestration for Claude Code. A reusable set of skills that power an AI-driven software development lifecycle.

Quick Start

# 1. Clone and verify
cd ~/repos/chief-wiggum
claude /setup

# 2. Add as skill source to your target project
# In your-project/.claude/settings.local.json:
{
  "commandDirs": ["~/repos/chief-wiggum/.claude/commands"]
}

# 3. Use from your target project directory (not chief-wiggum)
claude /transcribe ~/recordings/client-call.mp4
claude /triage owner/repo
claude /implement owner/repo#42

Important: Run skills from your target project directory, not from chief-wiggum itself.

Skills

Skill	Purpose
/setup	Verify and install all dependencies
/transcribe	Whisper transcription → structured requirements
/triage	Read and prioritise GitHub issues
/plan-sprint	Interactive sprint planning session
/create-issue	Create well-structured GitHub issues
/implement	Full implementation loop with multi-AI consultation
/ship	PR creation with mermaid architecture diagrams
/update	Refresh AI model IDs and library versions

Pipeline

Audio/Video → /transcribe → /triage → /plan-sprint → /create-issue
                                                          ↓
                              /ship ← review ← /implement

Requirements

• Python >= 3.11
• Claude Code CLI (claude)
• OpenAI Codex CLI (codex)
• Google Gemini CLI (gemini)
• GitHub CLI (gh)
• ffmpeg, openai-whisper (for transcription)
• Secrets stored in system keyring (managed via python3 scripts/keychain.py)