awesome-spec-driven-development

作者 Engineering4AI已验证

A curated list of awesome resources for spec-driven development (SDD)

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2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

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安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/Engineering4AI/awesome-spec-driven-development

快速入门

使用 awesome-spec-driven-development 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Awesome Spec-Driven Development (SDD) Awesome

ChatGPT Image Jun 3, 2026, 06_23_17 PM

A curated list of awesome tools for Spec-Driven Development (SDD) - the practice of writing specifications first to guide development, testing, and documentation.

Spec-Driven Development is a methodology where comprehensive specifications are created before implementation begins. This approach ensures better alignment between requirements and delivery, improves code quality, and facilitates better testing and documentation.

Introductions

Standards

  • agents.md - Markdown-based specification format for defining AI agent behaviors and capabilities.

  • FPF - First Principles Framework - Rigorous specification framework for modeling systems, methods, and knowledge with auditable assurance levels and machine-readable patterns.

Specification Tools

  • adversarial-spec - Iteratively refines product specifications by facilitating a debate among multiple LLMs.

  • dotdog - CLI tool for structured software specs. Write .dog files, compile to .dag graphs, query via MCP. Validate completeness, detect drift. 94% token savings.

  • gsd-core - Light-weight meta-prompting, context engineering, and spec-driven development system for AI coding agents.

  • lean-spec - Lightweight framework for focused specifications under 2,000 tokens designed for humans and AI assistants.

  • MetaSpec - Meta-specification framework enabling AI agents to auto-generate spec-driven toolkits.

  • OpenSpec - Aligns developers and AI assistants on specifications before code is written.

  • quint-code - Structured reasoning framework for AI coding tools implementing hypothesis-driven spec development with automated design rationale records.

  • reqlan - - Semantic requirements as code: a graph of named ideas your agents can search, link, reuse, test and maintain.

  • Shotgun - Codebase-aware spec writing tool that keeps AI coding agents on track.

  • spec-driver - Reimagines specs as evergreen truth systems that emit deltas to conform code to vision.

  • Spec Kit - Focuses developers on product scenarios and predictable outcomes over ad-hoc coding.

  • vibe-coding-prompt-template - Staged prompts and a CLI that produce a PRD, a technical design, and AGENTS.md before implementation begins.

Development Frameworks

  • agent-skills - Production-grade skill pack for AI coding agents with explicit spec-to-plan-to-build workflows and quality gates.

  • BMAD-METHOD - Breakthrough Method for AI-driven Agile Development, providing a modular framework for agile AI workflows.

  • cc-sdd - Collaborative spec-driven development tool for writing specifications alongside code.

  • claude-codepro - Professional development system combining spec-driven development, TDD, and automated quality enforcement.

  • colign - Collaborative spec-driven development platform for teams to discuss, write, review, and implement specs with AI.

  • Cosmosmith - Multi-agent workflow initializer that generates AGENTS.md, task.md, proposal/design templates, and adapters for Claude Code, Cursor, Copilot, OpenCode, and Trae.

  • fspec - Gherkin-based spec system that auto-generates tests and links code to business rules.

  • MoAI-ADK - Framework combining spec-first development, TDD, and AI agents for transparent development lifecycle.

  • ouroboros - Local-first Agent OS that wraps Claude Code, Codex CLI, and other coding agents in a replayable Seed → Ledger → Runtime contract, driven by an interview → seed → execute → evaluate → evolve workflow loop.

  • pi-sdd-kit - Spec-driven skill pack for the Pi coding agent, with a gated PRD/spec/tasks/review pipeline, steering docs as durable memory, .status approval gates, and EARS requirements.

  • skills - Composable engineering skills including PRD/spec, planning, TDD, and architecture workflows for AI-assisted development.

  • superpowers - Full software development methodology for coding agents centered on spec approval, planning, and subagent execution.

  • THROUGHLINE - Markdown and git framework where personas debate each spec before code, with an append-only single source of truth that carries decisions across sessions.

IDE & Editor Integrations

  • Kiro - Agentic IDE for spec-driven development from prototype to production with natural language coding.

  • Notula - WYSIWYG editor for the Markdown specs in a git repository, with review threads committed beside the documents rather than written into them, and a comment addressed to @ai answered by the coding agent in the thread.

  • spec-kit-command-cursor - Spec-driven development toolkit for Cursor IDE that turns ideas into specs, plans, and actionable tasks.

MCP Servers

Workflow Management

  • GraphCode - Arranges coding-agent sessions into a graph of loops: a goal-based loop ends when its shell predicate exits 0, and hand-off, message, or spawn edges fire unattended.

  • Okto Pulse GitHub stars - Local-first SDLC workbench that turns specs into governed sprints, tasks, and validation gates, with a knowledge graph for tracing decisions across an AI coding agent's work.

  • Plans - Markdown convention for tracking multi-feature work with per-feature specs, a status front door, and a static roadmap dashboard.

  • RailWarden - Deterministic execution and integration control plane for approved multi-agent work: turns plans into dependency-aware isolated work packages, records validation evidence, and gates integration.

  • Spec Kitty - AI development dashboard and workflow automation platform for spec-driven development.

  • taskmaster - Task management system for AI-driven development that parses PRDs and orchestrates implementation workflows.

  • vibe-kanban - Kanban board system for managing spec-driven development workflows.

  • VibeDoc - Documentation tool for spec-driven development workflows.

Related Lists

  • Awesome Harness Engineering - Curated list of articles, playbooks, benchmarks, specs, and open-source projects for harness engineering: shaping the environment around AI agents so they work reliably, with dedicated coverage of specs and agent files.

Contributing

Contributions are welcome! Please feel free to submit a pull request to add more tools to this awesome list.

常见问题

What is awesome-spec-driven-development?

awesome-spec-driven-development is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Engineering4AI. A curated list of awesome resources for spec-driven development (SDD). It has 248 GitHub stars.

Is awesome-spec-driven-development safe to use?

Yes. awesome-spec-driven-development passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install awesome-spec-driven-development?

Clone the repository with "git clone https://github.com/Engineering4AI/awesome-spec-driven-development" and add it to your Claude Code skills directory (see the Installation section above).

Are there alternatives to awesome-spec-driven-development?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh awesome-spec-driven-development against similar tools.

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