🧪 Spec Driven Planning
Use when planning new features or need structured requirements - creates feature structure, elicits EARS requirements through systematic questioning, proposes architectural approaches with trade-offs. Activates when user mentions "new feature", "requirements", "specs", "design", "architecture", or u
npx playbooks add skill xbklairith/kisune --skill spec-driven-planning
About Spec Driven Planning
Built for testing & qa workflows, Spec Driven Planning helps AI coding agents use when planning new features or need structured requirements - creates feature structure, elicits ears requirements through systematic questioning, proposes architectural approaches with trade-offs. activates when user mentions "new feature", "requirements", "specs", "design", "architecture", or u.
The 36-word prompt provides structured testing & qa guidance — covering detailed methodology and consistent output formats. Install it in one command.
Use Cases
- Writing unit, integration, and end-to-end tests
- Setting up test coverage and CI pipelines
- Refactoring legacy code with confidence using tests
- Creating test plans and QA checklists
Example Prompts
System Prompt (36 words)
Use when planning new features or need structured requirements - creates feature structure, elicits EARS requirements through systematic questioning, proposes architectural approaches with trade-offs. Activates when user mentions "new feature", "requirements", "specs", "design", "architecture", or u
Frequently Asked Questions
What is Spec Driven Planning?
Spec Driven Planning is a free testing & qa skill for AI coding agents. Use when planning new features or need structured requirements - creates feature structure, elicits EARS requirements through systematic questioning, proposes architectural approaches with trade-offs. Activates when user mentions "new feature", "requirements", "specs", "design", "architecture", or u. It provides a specialized system prompt that configures your agent with testing & qa expertise.
How do I use Spec Driven Planning with Claude Code?
Run npx playbooks add skill xbklairith/kisune --skill spec-driven-planning in your terminal to install Spec Driven Planning into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Spec Driven Planning?
Spec Driven Planning is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Spec Driven Planning free to use?
Yes, Spec Driven Planning is completely free and open source. The full source is available on GitHub at https://github.com/xbklairith/kisune/tree/main/dev-workflow/skills/spec-driven-planning. You only need a subscription to the AI agent you use it with.
