O Specsfy ajuda você a transformar uma ideia em software testado sem espalhar requisitos, planos e tarefas por vários arquivos.

SpecStory's official collection of agent skills. Summarize, organize and create with `.specstory/history`

Install our local first extensions for your favorite AI IDE or Terminal Agent. Process your histories into reusable skills with Lore. Sync your conversations to the cloud. File issues and requests.

Spec-Driven Development MCP Server, not just Vibe Coding

VS Code extension for spec-driven development — manage specs, workflows, and steering docs for AI CLI tools (Claude Code, Gemini CLI, Copilot CLI)

Agent skills for Spec Kit

Make your AI agent think before it codes.

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

Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology

Plugin para Claude Code especializado em ADVPL e TLPP para desenvolvimento TOTVS Protheus

A Claude skill that keeps your AI coding tools from contradicting each other. Generates requirements.md, design.md, and tasks.md before any code is written — then creates matching config files for Claude Code, Cursor, Copilot, Windsurf, and Aider.

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

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

Replace chaotic AI code generation with a disciplined, spec-driven workflow. SDD Pilot enforces structured development phases and quality gates, leveraging AI agents to conduct online research for best practices and plan your architecture before a single line of code is written.

Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Codex, Gemini, OpenCode, and plain CLI.

MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resource Templates for client-side exploration.

ADE( Agentic Development Environment) The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.

An agent skill for prose that sounds clear, specific, and human.

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.

Agent skill that rewrites rough prompts into polished, model-specific prompts — grounded in the official Anthropic prompting guides

rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7

🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams

VexJoy AI Agent with Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop.

Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman collections, OpenAPI specs, and environments via Model Context Protocol (MCP)