Detect Spec-Driven Development phases and route to plan, tasks, or implement steps.
npx skills add https://github.com/Ynakatsuka/dotfiles --skill my-sdd
Please help me install this Agent Skill. Skill: my-sdd Source: https://github.com/Ynakatsuka/dotfiles/tree/main/dot_claude/skills/my-sdd Command: npx skills add https://github.com/Ynakatsuka/dotfiles --skill my-sdd
This Skill automates end-to-end Spec-Driven Development workflow by automatically detecting the current phase (plan, tasks, or implement) and routing to the appropriate steps.
To begin, invoke the skill with a target feature path or name, for example: /my-sdd docs/specs/user-auth
High-intent search queries and answers about installing and using this skill.
Automating a spec-driven development workflow involves detecting the current phase and routing to appropriate steps for plan, tasks, or implementation. This skill orchestrates the entire process by generating phase-specific artifacts and tracking progress through real-time state detection.
Spec-driven development phase orchestration automatically detects whether you are in the plan, tasks, or implement phase. It manages artifacts by generating and updating requirements.md, design.md, and tasks.md as your feature evolves.
To start planning a new feature, invoke the skill with a target feature path. It guides requirements planning, breaks down tasks, executes code with tests via a Task agent mechanism, and pauses for human confirmation between phases to ensure traceability.
Yes, this spec-driven workflow pauses for human confirmation between phases. It records progress after each confirmation to maintain traceability across requirements, design, task decomposition, and implementation activities.
Yes, this task management workflow is designed for feature work where requirements, design, task decomposition, and implementation are guided by real-time state detection. It enforces the creation of design.md and other artifacts to support detailed documentation.
The best way to track progress during spec-driven implementation is leveraging a Task agent mechanism to execute tasks while automatically updating tasks.md. This ensures real-time state detection and progress recording across all phases.
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