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Open-source skills for designing and reviewing software with AI agents

面向 AI 编程智能体的任务包工作流工具，用可验证的范围、证据和 Git 门禁管理长期改动。(Task-package workflow for AI coding agents with verifiable scope, evidence, and Git gates.)

Your agent invents things because it has no memory, and can't touch your database because it has no arms. rsc is the meta-harness that gives

Autonomous development for real products. Governed agents build from specs you approve, follow the rules you set, and nothing merges until a

Gentle Shell is a Pi-native workspace for AI-assisted development, bringing parallel coding agents, live tasks, Git diffs, persistent memory

Reusable AI agent skills for software factories: explore ideas, write specs, implement, review, and run autonomous research. Works with Clau

Local-first, spec-driven SDLC workbench with governance gates, knowledge graphs, and MCP for AI coding agents.

Spec-driven development for Claude Code, layered on OpenSpec. You read one spec; parallel agents ship it to a tested commit.

Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.

Cross-platform AI agent harness for 12+ hour autonomous development cycles. Spec-driven, DAG-orchestrated, with a 3-critic evaluation pipeli

12 agent skills for AI-driven software development — a gated idea-to-ship pipeline: 7w3 design, build-ready specs, executable architecture,

Coding agents için SPEC, test gauntlet’i ve kanıt raporu odaklı bir geliştirme iş akışı sunuyor.

Neden yükseliyor · 63 günde 738 yıldız dikkat çekici ilgiye işaret ediyor; ancak son 28 günde commit ve farklı yazar yok. Bu nedenle yükselişin güncel geliştirme ivmesiyle sürdüğüne dair kanıt bulunmuyor.

A Claude Code plugin that interviews you, designs the whole architecture, and writes a self-contained blueprint another Claude Code instance

Bounded-autonomy plugin harness for agents. Intent to implementation: ready, then go.

Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable

Open standard for software intent in the AI agent era.

Agent skills synthesizing years of software engineering discipline into a prescriptive methodology for solo developers

Spec-driven autonomous engineering workflow for AI coding agents: recon → plan → build → validate → ship — with TDD, adversarial validation,

Antidote for fluffy specs, a toolkit for fact-driven development with AI agents

A Claude skill that keeps your AI coding tools from contradicting each other. Generates requirements.md, design.md, and tasks.md before an

Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle wi

Linked-Intent Development - a SDD methodology for agentic coding

Codex-native, spec-driven AI Agent workflow with Claude Code compatibility, independent review, QA, fixes, and refactors.

Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.

AI agentic skills framework for spec-driven development, built on the organizational model of mafia.

Minimalistic, project-agnostic skills and rules for AI coding agents

Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.

A featherweight spec-driven development template with a Memory Bank, for Claude Code, GitHub Copilot and JetBrains Junie.

Hook-driven multi-agent CLI — one prompt to specs, code, tests, and a shipped release.

Use these guidelines for writing good Gherkin scenarios. Feed it as context to AI specs, agents, and skills.

Local-first CLI that reads your Spec-Driven Development artifacts and recommends the best value-for-money AI model to implement them. Powere

A Socratic supervision layer for AI coding agents.

Fable-style spec + evidence gate for Claude Code + Codex. Makes Opus/Codex work under Fable-like discipline: blocks every edit until a deter

HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog's AI-driven development builds a task dependency graph from your spec-driven,

Spec-Driven Development framework that enables humans and AI agents to build better software by giving them small, local instructions right

Give your coding agent a persistent memory. source-of-truth keeps a living docs/ catalog of what exists, why, and what rules apply — so AI s

Specs your AI agent can't ignore. A deterministic compiler that turns your rules into checks: no AI inside, same input, same verdict. Rust ·

Portable Agent Skill for repository-native Spec programming, informed by public DeepSeek Harness engineering patterns.

Consort keeps AI-written code clean and correct: a coordinated ensemble of role agents, spec-first and test-driven, driven by a deterministi

Production-grade vibe coding framework with specs, architecture, AI agents, testing, security, code review, CI/CD, and battle-tested workflo

Spec-Driven Development skill pack for the Pi coding agent: steering docs, .status gates, EARS, and a PRD→SPEC→TASKS→EXEC→REVIEW pipeline.

Spec-driven development that doesn't stop at the code: coding agents take an idea to release, and you make the calls.

Your whole product team, not just a coding agent. Plan → design → build → QA, with you as the PM who signs off.

A desktop reader for OpenSpec projects - browse changes, trace how requirements evolved, and comment on specs, all from local folders

FylloCode 是一个开源桌面应用，把 Claude Code、Codex 等本地 Coding Agent 接进项目工作流。派任务、审方案、追溯每一次改动，积累下来的规范和结论，换一个 Agent 也能继承。

The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release

Spec-driven development plugin for Claude Code. SpecManager gives you an agile AI team that takes a feature from interview → PRD → Architect

Laravel spec-driven workflow

inplan — a Markdown editor for human ⇄ coding-agent planning. CLI + desktop editor.

Make your specs actually comprehensive. Pair your specs with tests to make your coding agent stop improvising bad code