Ask up to five targeted questions and encode answers into a feature spec.
npx skills add https://github.com/vtex/front.phone --skill speckit-clarify-vtex
Please help me install this Agent Skill. Skill: speckit-clarify Source: https://github.com/vtex/front.phone/tree/main/.agents/skills/speckit-clarify Command: npx skills add https://github.com/vtex/front.phone --skill speckit-clarify-vtex
Speckit specs often start underspecified, leading to rework, misaligned acceptance criteria, and unclear implementation decisions.
Run /speckit-clarify with your current feature spec context so the assistant asks up to five targeted questions and writes the answers back into the spec.
High-intent search queries and answers about installing and using this skill.
Clarify feature specifications by asking up to five targeted clarification questions that identify underspecified areas. The tool scans for ambiguities in functional behavior, data models, and edge cases, then encodes the answers directly back into the spec.
Resolve ambiguities in product requirements through structured ambiguity scanning. This approach enforces a strict questioning flow to address gaps in UX flow, non-functional requirements, and terminology consistency before planning begins.
Acceptance criteria get updated through incremental spec updates after each accepted answer. As you resolve gaps in the feature spec, the tool records the answers directly into the appropriate spec sections to keep changes consistent.
You can customize the specification clarification workflow using optional extension hook execution via .specify/extensions.yml. This allows you to integrate specific operational guardrails while the tool checks prerequisites and enforces its questioning flow.
Automated spec clarification questioning is limited to a maximum of five targeted questions per session. This constraint ensures highly focused gap resolution but means highly complex feature specs may require multiple sequential sessions to fully clarify.
samjhechtScan specification artifacts for ambiguity and generate prioritized clarification questions.
dralgorhythmGenerate Product Requirements Documents with user stories and Given/When/Then acceptance criteria.
arielybarakDetect underspecified areas in feature specs and encode answers back into the file.
EmpoweredHouseIdentify underspecified areas in feature specs and encode answers back.
