Review AI-generated spec artifacts for scope, completeness, and executability.
npx skills add https://github.com/9Ashwin/aswin-skills --skill sdd-review-specs
Please help me install this Agent Skill. Skill: sdd-review-specs Source: https://github.com/9Ashwin/aswin-skills/tree/main/skills/sdd-review-specs Command: npx skills add https://github.com/9Ashwin/aswin-skills --skill sdd-review-specs
This Skill guarantees that AI-generated spec artifacts are thoroughly reviewed, reducing the risk of implementation issues and enhancing the quality of spec-driven development processes.
superpowers:writing-plans for refining tasks into bite-sized units.Review the 'proposal.md', 'specs/', 'design.md', and 'tasks.md' artifacts of the AI-generated spec before proceeding with implementation.
High-intent search queries and answers about installing and using this skill.
Reviewing AI-generated spec artifacts involves validating scope, completeness, design decisions, and task executability before code writing. This ensures human oversight early in the spec-driven workflow, reducing the risk of implementation issues.
Validating task executability in spec-driven development requires refining tasks into bite-sized units. Using a plan-writing integration helps refine tasks from the spec artifact to ensure robust implementation.
Identifying red flags in AI-generated specs involves analyzing common failures in spec-driven workflows. A tier-based review process helps flag potential design and scope issues early in the development cycle.
Tier-based review works for spec artifacts by offering different review depths based on the change's scope. This ensures appropriate validation effort is applied to both small and large AI-generated specifications.
A pre-implementation spec check requires reviewing the 'proposal.md', 'specs/', 'design.md', and 'tasks.md' artifacts. Examining these files ensures the AI-generated spec is complete before proceeding with implementation.
Skipping human review of AI-generated specs risks introducing implementation issues due to unvalidated design decisions. Common failures in spec-driven development often stem from inadequate scope analysis and poor task granularity.
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