Identify underspecified areas in feature specs and record clarified answers.
npx skills add https://github.com/timcsy/streamixer --skill speckit-clarify-timcsy
Please help me install this Agent Skill. Skill: speckit-clarify Source: https://github.com/timcsy/streamixer/tree/main/.claude/skills/speckit-clarify Command: npx skills add https://github.com/timcsy/streamixer --skill speckit-clarify-timcsy
Identify underspecified areas in the current feature specification by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Invoke the clarification workflow to surface the top ambiguities in the active spec and commit each clarified answer to the spec file.
High-intent search queries and answers about installing and using this skill.
To identify ambiguities in a feature specification, you can use a taxonomy-guided workflow that analyzes functional scope, data model, UX, and edge cases to generate prioritized clarification questions. This targets underspecified areas efficiently.
The best way to clarify requirements is an interactive, one-question-at-a-time loop that updates a Clarifications section immediately. It validates consistency to prevent drift and saves the spec atomically after each accepted answer.
Yes, automated spec clarification requires a spec-kit project environment with a .specify/ directory. The workflow validates this prerequisite and loads the current active spec before prompting any targeted clarification questions.
The workflow generates a maximum of five clarification questions per session. These questions are prioritized by impact and uncertainty across functional scope, data model, UX flows, integration points, and edge cases.
Clarifying a specification produces a minimal, testable record of decisions and rationale. This outcome-oriented traceability supports downstream planning and implementation by ensuring the active spec has no underspecified areas.
KamiJeongIdentify and resolve ambiguities in active feature specifications before implementation planning.
LISSConsultingIdentifies gaps in project specs and generates clarifying questions for missing details.
invowkIdentify ambiguous areas in feature specs and record answers back.
richfremIdentify underspecified areas in feature specifications and propose targeted clarifications.
