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Open-Sourcing agent-skills — Spec-Driven Development with AI Agents
Spec-Driven Development is a methodology where AI agents generate, validate, and convert specifications into GitHub Issues. agent-skills is an open-source skill set that implements this workflow for Claude Code, Cursor, Codex, and other AI coding agents.
Spec-Driven Development in Practice #3: Implementation — Orchestrate to a PR with spec-implement
Final part of the agent-skills practical guide. spec-implement orchestrates spec-code, spec-review, and spec-test to drive an Issue to a PR with automated fix loops, plus Codex / Claude Code / cmux dispatch modes.
Spec-Driven Development in Practice #2: Generate, Validate, and Register Specs as GitHub Issues
Part 2 of the agent-skills practical guide. Use spec-generator to author the three-document set (requirements, design, tasks), spec-inspect to run 15 quality checks, and spec-to-issue to turn the result into a structured GitHub Issue — all in a single chained flow.
Spec-Driven Development in Practice #1: Setup — Define the Rules Your AI Should Follow
Part 1 of the practical guide to agent-skills' spec series. Use spec-workflow-init and spec-rules-init to generate issue-to-pr-workflow.md, coding-rules.md, and review_rules.md — the foundation documents that every later spec skill reads.
Spec-Driven Development in Practice — A Development Workflow for the AI Agent Era
A comprehensive guide to Spec-Driven Development: the philosophy behind it, how it differs from vibe coding, the concrete workflow, the structure of generated artifacts, and how to adopt it in team settings.