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 uses /dev-workflow:spec commands (create, requirements, design).
Quickly install spec-driven-planning AI skill to your development environment via command line
Source: xbklairith/kisune.
Guide feature planning through three structured phases: Feature Creation → Requirements (EARS) → Technical Design. This systematic approach ensures clear requirements and thoughtful design before implementation begins.
User Confirmation: "Feature structure created. Ready to define requirements?"
EARS (Easy Approach to Requirements Syntax) provides five templates for unambiguous requirements:
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 uses /dev-workflow:spec commands (create, requirements, design). Source: xbklairith/kisune.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/xbklairith/kisune --skill spec-driven-planningUse 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 uses /dev-workflow:spec commands (create, requirements, design). Source: xbklairith/kisune.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/xbklairith/kisune --skill spec-driven-planning Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/xbklairith/kisune