Convert natural language requirements into structured EPIC/Story/Subtask spec files.
npx skills add https://github.com/Sn005/recommend-scp --skill spec-sn005
Please help me install this Agent Skill. Skill: spec Source: https://github.com/Sn005/recommend-scp/tree/main/.claude/skills/spec Command: npx skills add https://github.com/Sn005/recommend-scp --skill spec-sn005
This Skill automates turning natural language requirements into structured SD specifications (EPIC/Story/Subtask) to streamline up-front design and ensure traceability from ideas to implementation.
Provide a natural language requirement and the skill will generate EPIC/Story/Subtask specs through Requirements, Design, and Tasks phases.
High-intent search queries and answers about installing and using this skill.
To turn natural language requirements into structured software specifications, provide your text to automate transformation into hierarchical EPIC, Story, and Subtask files through a phased Requirements, Design, and Tasks workflow.
EARS-style acceptance criteria use unambiguous WHEN/GIVEN/THEN syntax to define software behavior. This workflow automatically generates EARS-based AC during the Design phase to ensure clear, testable requirements.
Breaking down an EPIC into stories and subtasks involves a phase-driven workflow moving from Requirements to Design to Tasks. The process generates hierarchical spec files with cross-links, requiring user confirmation before progressing.
Yes, you can automate branch and PR creation directly from generated specification files. The workflow includes review automation using /branch and /pr commands to link end-to-end design with downstream implementation.
You need to manually review specifications between phases because the workflow enforces user confirmation before phase progression and file generation. This ensures gradual refinement and traceability from ideas to implementation.
The best way to ensure traceability from ideas to implementation tasks is generating cross-linked EPIC, Story, and Subtask spec files. This end-to-end transformation maintains structure from initial requirements through downstream implementation.
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