Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。

Agentic coding TypeScript boilerplate for Claude Code — sub-agent workflows with built-in quality checks and context engineering.

Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.

Reviews pull requests for the shortcuts AI coding agents take to look done without being done: relaxed tests, swallowed errors, fake renames, 11 checks in all. Flags them for a human by default, or blocks the merge if you turn that on. Can also turn a goal into a checklist and only accept a patch once every check passes.

BizDevOps rhythm manager for Claude Code — trace business goals to code changes with 18 skills

Coordinated Agent Team is a prompt-driven multi-agent system for autonomous software delivery. It defines clear agent roles, a deterministic workflow, strict I/O contracts, and artifact-based coordination.

Session-Driven Development - Maintain perfect context across AI coding sessions with Claude Code

performs SonarQube analyses and checks quality gates https://concourse-ci.org/ https://sonarqube.org/

Declarative governance framework for AI-augmented software development lifecycles

Parallel Subagent Orchestration Engine for Claude Code implementing the IOSM methodology. Continuous dispatch scheduling, quality gates, auto-spawn protocol.

Self-orchestrating multi-agent system for Claude Code — you say WHAT, the AI decides HOW. v7.1: 15 AI agents, Smart Routing, parallel quality gates, skills architecture, plugin & one-command installer. Optimized for Claude Fable 5.

Loop engineering for AI coding agents — turn ad-hoc sessions into a repeatable research → plan → wave-execute → close loop with verification gates. Runs on Claude Code, Codex CLI, Cursor, and Pi. MIT community plugin.

ADOS Turn AI into a repeatable, auditable SDLC: ticket → spec → plan → PR → quality gates → release. Agents, templates, skills, scripts, and reference workflows.

AI-Powered Development Framework for Claude Code — 70+ commands, 25 agents, 381 skills, quality gates

Governed local runtime for AI coding agents: task lifecycle, mandatory gates, reviews, doc-impact checks, and auditable completion.

Ready-to-use project scaffolding with quality gates, testing, and Claude Code integration. Problem This Solves: LLM-assisted development fails by silently expanding scope, degrading quality, and losing architectural intent. This scaffold exists to make those failures impossible without explicit acknowledgement.

A 7-Pillar AI+Human SDLC methodology — 10 stages, 5 quality gates, 18 SOUL roles. Tool-agnostic, MIT, battle-tested.

Engineering governance framework for AI coding agents. Forces planning before code, evidence before completion, memory across sessions.

Controlled agent harness for lights-out software work: persistent Ralph Loops, evaluator backpressure, guardrails, metrics, and git audit trails.

Auto-loop execution workflow with quality gates for Claude Code. Automatically decomposes tasks, implements code, runs tests, and iterates through quality gates until completion.