Detects underspecified areas in feature specs and records targeted clarification answers.
npx skills add https://github.com/gkuga/monit-rs --skill speckit-clarify-gkuga
Please help me install this Agent Skill. Skill: speckit-clarify Source: https://github.com/gkuga/monit-rs/tree/main/.claude/skills/speckit-clarify Command: npx skills add https://github.com/gkuga/monit-rs --skill speckit-clarify-gkuga
## Clarifications session section and updates the relevant spec sections atomically after every answer. - Use Case: Before running /speckit.plan, a developer invokes this Skill on a new feature spec; it detects that security posture and scale assumptions are undefined, asks two focused questions, and records the answers as measurable criteria in the spec. ## Quick Start Ask the assistant to run the speckit-clarify workflow on the current feature spec to resolve ambiguities before planning.High-intent search queries and answers about installing and using this skill.
Run the speckit-clarify workflow after creating a spec with /speckit.specify. It scans the spec against a coverage taxonomy, asks up to 5 targeted questions one at a time, and writes each accepted answer directly into the spec file.
Run clarification after /speckit.specify and before /speckit.plan. Skipping it is allowed for exploratory spikes, but the workflow warns that downstream rework risk increases when ambiguities remain unresolved.
The workflow asks a maximum of 5 questions per session, selected by impact and uncertainty. Each question is either multiple-choice with a recommended option or a short answer constrained to five words or fewer.
The workflow aborts and instructs you to run /speckit.specify first. It does not create a new spec file, since clarification only operates on an existing feature specification in the .specify project structure.
Accepted answers are appended as Q&A bullets under a ## Clarifications section with a dated session subheading, and the relevant spec sections such as Functional Requirements or Success Criteria are updated to reflect each answer.
lightspeedwpGenerate a validated feature specification from a natural language feature description.
KamiJeongGenerate a dependency-ordered tasks.md from Spec Kit project artifacts.
unipds-engenharia-de-ia-aplicadaGenerate requirements-quality checklists for spec-kit feature specifications.
opsmillIdentify and resolve ambiguities in feature specifications through targeted clarification questions.