A plugin for AI coding agents (Antigravity, Claude Code) enabling Spec-Driven Development to specify, plan, and implement software features.
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Updated
Aug 11, 2026 - Python
A plugin for AI coding agents (Antigravity, Claude Code) enabling Spec-Driven Development to specify, plan, and implement software features.
Spec-Driven Development for serious software developers. Spec Coding with with Claude, Cursor, Gemini, Codex. Kanban dashboard, git worktrees, auto-merge and more.
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
Repeatable agentic engineering. The workflow layer that turns AI coding agents into a disciplined factory: durable specs, fresh-context workers, adversarial cross-model reviews, receipts. Everything in your repo, zero dependencies. Claude Code · Codex · Cursor · Droid.
Spec Driven Development 🤠 Write codebase-aware specs for AI coding agents so they don't derail.
An old coder's strategy for the agent era: don't read the code — make it run the gauntlet. Evidence-first development skill for coding agents, inspired by Uncle Bob.
ATLAS: a senior-engineer layer for Claude Code. Explore with wireframes & prototypes, clarify the essentials, capture it in HTML spec doc then let Claude Code's native plan/goal/workflow loop build. Fewer tokens, less ceremony, faster to what people pictured. KISS/YAGNI/DRY, context decides. No overengineering. Clean architecture that works.
The best agent skills in the world for software development.
Chinese-localized spec-driven development toolkit for Codex, Claude Code, Cursor, and other AI coding agents.
23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and multi-LLM delegation. 186 skills, 128 commands, 54 agents.
Lightweight AI Agent Harness for agentic coding: let strong models explore while humans steer with minimal specs, checkpoints, approval, validation, and reverse sync.
A practical fork of github/spec-kit with patterns & templates for building scalable multi-agent AI systems. Ships production-ready stacks faster with OpenAI Agents SDK, MCP, A2A, Kubernetes, Dapr, and Ray. It also explicitly treats specifications, architecture history, prompt history, tests, and automated evaluations as first‑class artifacts.
⚙️ Executable architecture guardrails and agent skills for building structured Python services!
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.
Context Engineering: Build Consistent, Accurate, Predictable AI Systems
OpenSpec and OpenCode template for intent-driven development with specs, ADRs, C4 diagrams, Gherkin, TDD, Multi-Model Adversarial Spec Authoring, Glossary for Domain Terms, and reusable engineering workflows. This also makes OpenSpec spec-as-source capable.
Repo-native shared memory for AI coding agents.
An agentic workflow with a focus on reliability and developer experience
Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology
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