maggy

skill
Guvenlik Denetimi
Gecti
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  • License — License: MIT
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  • Active repo — Last push 0 days ago
  • Community trust — 622 GitHub stars
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  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
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Bu listing icin henuz AI raporu yok.

SUMMARY

What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center

README.md

Maggy

From Claude Bootstrap to autonomous AI engineering.

This project started as Claude Bootstrap — an opinionated set of skills, hooks, and rules for Claude Code. Over time it grew into something much bigger: a multi-model routing system, a persistent memory layer, an intent-tracking code graph, container-based orchestration, and a full engineering command center. The bootstrap scaffolding is still here, but the future of this project is Maggy — an autonomous engineering system that routes work across AI models, learns from outcomes, and manages the full development lifecycle.

62 skills, TDD enforcement via Stop hooks, agent teams, persistent memory (Mnemos), intent tracking (iCPG), and multi-model AI command center. Works with Claude Code, Kimi CLI, and OpenAI Codex CLI.

Quick Start

git clone https://github.com/alinaqi/maggy.git
cd maggy && ./install.sh

# In any project directory
claude
> /initialize-project

Claude will validate tools, ask about your stack, create the repo structure, copy skills/rules/hooks, and spawn an agent team.

Maggy — Autonomous Engineering System

Maggy is the core of this project. It routes tasks across models, tracks performance, learns from outcomes, and manages the full development lifecycle from a local dashboard or CLI REPL.

  • Multi-model routing — semantic blast scoring routes tasks across Claude/Codex/Kimi/Ollama based on complexity, cost, and proven performance
  • Task blueprints — self-learning workflows; Maggy captures tool sequences from successful tasks and replays them with cheaper models
  • Chat — interactive sessions with markdown rendering, streaming, session persistence, and file upload
  • Execute — one-click TDD pipeline with iCPG context enrichment
  • Tasks — AI-prioritized inbox from GitHub Issues or Asana
  • Competitors — auto-discovered competitors + daily AI briefing
  • Insights — CLI session analysis, health signals, reviewer evaluation
  • Reviewer knowledge map — tracks which reviewer (CodeRabbit, Codex, local) is best at which finding category
cd maggy && pip install -e .
maggy serve   # dashboard at localhost:8080
maggy         # CLI REPL (runs from any project directory)

See maggy/README.md for setup and routing details.

Bootstrap Layer

The original scaffolding that sets up any project for AI-assisted development:

Layer What Why
Skills 62 skills loaded via @include in CLAUDE.md Language, framework, security, AI patterns
Rules Conditional rules (activate by file path) Quality gates, TDD workflow, security — only when relevant
Hooks Stop hooks for TDD loops Tests run after every Claude response, failures feed back automatically
Agents Team Lead + Quality + Security + Review + Merger + Feature Coordinated pipeline: spec → test → implement → review → PR
Memory Mnemos (typed graph on disk) Survives compaction, crashes, restarts
Intent iCPG (code property graph) Tracks why code exists, detects drift

Skills (62)

Core — TDD, memory, intent tracking, code review, agent teams, security, commit hygiene, cross-agent delegation, Polyphony orchestration

Languages — Python, TypeScript, Node.js, React, React Native, Android (Java/Kotlin), Flutter

Databases — Supabase, Firebase, Cloudflare D1, DynamoDB, Aurora, Cosmos DB

AI — Agentic development, LLM patterns, AI models reference

UI — Web (Tailwind), mobile, visual testing, Playwright, PWA

Integrations — Stripe, Reddit, Shopify, WooCommerce, Medusa, Klaviyo, Teams, PostHog

See full skills catalog for details.

Cross-Tool Compatibility

Feature Claude Code Kimi CLI Codex CLI
Skills .claude/skills/ .kimi/skills/ .codex/skills/
Instructions CLAUDE.md (uses skills) AGENTS.md

install.sh auto-detects installed tools. /sync-agents syncs config across tools on demand.

Core Concepts

TDD via Stop Hooks — tests run after every Claude response. Failures feed back automatically. No plugins needed. Details →

Mnemos Memory — typed graph on disk (goals, constraints, results, context). Survives compaction, crashes, multi-agent failures. 4-dimension fatigue model writes checkpoints before things go wrong. Details →

iCPG Intent Tracking — links every code change to a ReasonNode with intent, postconditions, and invariants. 6-dimension drift detection. Details →

Agent Teams — 6 agents with enforced pipeline (spec → test → implement → review → security → PR). Only Feature agents can edit code. Details →

Usage

# New project
mkdir my-app && cd my-app
claude
> /initialize-project

# Existing project
cd my-existing-app
claude
> /initialize-project    # auto-detects existing code

# Update skills globally
cd "$(cat ~/.claude/.bootstrap-dir)"
git pull && ./install.sh

Docs

License

MIT — See LICENSE


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