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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

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

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.

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

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

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

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

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

Open standard for software intent in the AI agent era.

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

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

Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discu

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

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

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.

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

Linked-Intent Development - a SDD methodology for agentic coding

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.

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.

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

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

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

Laravel spec-driven workflow

Machine-readable architecture decision records. Git-native decision memory and governance for human and agent-authored plans -- lint, CI, an

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

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

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

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

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

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.

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

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

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

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.

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。

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

Agent skills for spec-driven development. An automated agentic delivery loop coordinates planning, implementation, and cross-agent code revi

AI-automated SDLC pipeline with human-controlled quality gates, for Claude Code — spec before code, evidence before pass, a human sign-off a

Give AI coding agents product, spec, task, QA, and release workflows in one command.

AI-native methodology for Go backend microservices: rebuild the whole codebase from docs/ + .claude/skills, driven by a 12-lens high-perform

Skills de IA para Product Management y Spec-Driven Development, creadas por Javier Garzas (233 Academy) y compartidas con la comunidad.