Generate FeatureSpec JSON and markdown specs from product descriptions.
npx skills add https://github.com/kelsi-andrewss/capstone-toolkit --skill spec-kelsi-andrewss
Please help me install this Agent Skill. Skill: spec Source: https://github.com/kelsi-andrewss/capstone-toolkit/tree/main/skills/spec Command: npx skills add https://github.com/kelsi-andrewss/capstone-toolkit --skill spec-kelsi-andrewss
Stops teams from guessing at requirements by turning a product name and natural description into a comprehensive feature spec that includes objective, stories, requirements, constraints, integration notes, and FeatureSpec JSON for Claude Code workflows.
Ask Claude Code to run /spec MyProduct with the natural-language description so it builds the spec and FeatureSpec JSON for review.
High-intent search queries and answers about installing and using this skill.
To turn a product idea into a structured feature spec, provide a natural-language product name and description. The skill extracts objectives, stories, requirements, constraints, and integration notes to align teams.
A FeatureSpec JSON file is a structured data format representing feature requirements. You need it for Claude Code workflows to ensure every merge gate has a contract before implementation.
To resolve missing requirements when generating feature specs, use an interactive clarification loop. This process runs refinement rounds, identifies coverage gaps, and suggests answers.
Yes, the spec skill produces markdown outputs for product planning. These generated markdown specs are ready for /factory workflows and include decision pre-checks and integration recommendations.
Yes, you can scope product versus feature work during acceptance criteria generation. The skill clarifies the what and why of a feature, ensuring every spec section grounds itself in user intent.
Your feature spec lacks decision memory for integration notes if decision pre-checks are skipped. The skill tracks decision checks and integration recommendations to build a comprehensive specification.
nq-rdlConvert natural language feature descriptions into formal specifications with acceptance criteria.
N0K0Convert GitHub issue or markdown feature specs into ordered file-level implementation checklists.
shishiVerify Definition of Done and acceptance criteria for sprint increments.
dantasgutIdentify underspecified areas in feature specifications and prompt for targeted clarification questions.
