Review software specifications for completeness, clarity, and testability.
npx skills add https://github.com/Varuas37/spec-test --skill spec-review-varuas37
Please help me install this Agent Skill. Skill: spec-review Source: https://github.com/Varuas37/spec-test/tree/main/src/spec_test/skills/spec-review Command: npx skills add https://github.com/Varuas37/spec-test --skill spec-review-varuas37
This skill guides reviewers to assess specifications for completeness, clarity, and testability, reducing misalignment between requirements and implementation.
Run spec-test list-specs to view all specs, then run spec-test verify to generate a review report. Open the generated report to identify gaps, and use the review template to document findings.
High-intent search queries and answers about installing and using this skill.
Software specification review validates completeness, clarity, and testability by applying a structured checklist evaluating uniqueness, atomicity, traceability, and appropriate verification types against user stories and business goals. This reduces misalignment between requirements and implementation.
Verifying spec quality during a pull request review involves checking specification atomicity and traceability against business goals. You generate a review report to identify gaps and use a reviewer-friendly template to document findings for the team.
A specification review checklist for sprint planning is a structured framework assessing uniqueness, atomicity, completeness, and traceability of specs. It ensures requirements are clearly defined and testable before development begins, reducing implementation misalignment.
You can generate a design sign-off report by running verification commands against spec files to output an exportable report. This report identifies gaps in the specifications and documents findings using a reviewer-friendly template for collaboration.
Manual spec verification during sprint planning often lacks a structured checklist for uniqueness and traceability, leading to misalignment between requirements and implementation. Automated verification generates consistent reports to identify gaps more reliably than manual checks.
saboteur-labsDraft structured feature specifications through guided clarifying questions.
cenconq25Audit per-story test coverage and documentation to identify evidence gaps.
Reading-Advantage-ThailandOrchestrate spec-driven development workflows with GitHub issues and pull requests.
takemi-ohamaGenerate language-aware code review checklists with security and performance checks.
