Clarify ambiguous feature specifications into testable requirements with a clarification log.
npx skills add https://github.com/ArvorCo/Relentless --skill clarify-arvorco
Please help me install this Agent Skill. Skill: clarify Source: https://github.com/ArvorCo/Relentless/tree/main/.claude/skills/clarify Command: npx skills add https://github.com/ArvorCo/Relentless --skill clarify-arvorco
Ambiguities in feature specifications slow delivery, cause rework, and increase risk. This skill systematically identifies and resolves unclear requirements to produce precise, testable criteria.
Provide the path to the target spec (for example relentless/features/NNN-feature/spec.md), run the clarify skill, review generated questions, supply answers, and review the updated spec and clarification-log.
High-intent search queries and answers about installing and using this skill.
Clarifying ambiguous specifications involves scanning for common ambiguities, prompting targeted clarifying questions, and updating the spec with verifiable acceptance criteria to align stakeholders.
When reviewing software requirements, look for 10 common ambiguity types including behavioral, data, UI/UX, integration, permission, performance, error handling, state management, edge cases, and testability issues to ensure precise outcomes.
To write testable acceptance criteria from vague feature specs, apply a guided question process to surface unclear requirements, then document the answers in a formal clarification log to support traceability and regression testing.
Yes, the requirements clarification process supports traceability by applying answers to the spec and recording a formal clarification log, ensuring that updated, concrete criteria support future regression testing efforts.
The best way to resolve gaps and align stakeholders on feature specifications is to systematically identify unclear requirements, generate targeted clarifying questions, and apply the resolved answers directly into the specification document.
pradyumnasagarGuide authors through creating and validating ORS SKILL.md files.
JongHyunLee84Execute end-to-end tests against acceptance criteria and classify failures.
pradeepmouliClarify underspecified feature requirements through an interactive five-question loop.
CAPHTECHIdentify specification ambiguities and formalize acceptance criteria in Given/When/Then format.
