cross-artifact-analysis
Perform cross-artifact consistency and coverage analysis across constitution, specification, plan, and task artifacts to detect gaps, conflicts, and misalignments before implementation.
npx skills add a5c-ai/babysitter --skill cross-artifact-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
- When verifying that all specification requirements have corresponding tasks - When checking for contradictions between constitution and plan - When assessing readiness for the implementation phase ## Key Principle Every specification requirement must be traceable through the plan to at least one task. No artifact should contradict another. Coverage gaps and conflicts must be resolved before implementation. ## Process 1. **Build traceability matrix** - Map requirements -> plan components -> tasks 2. **Detect coverage gaps** - Requirements without corresponding tasks 3. **Identify conflicts** - Contradictory constraints or requirements across artifacts 4. **Verify constitution compliance** - Plan and tasks comply with governance 5. **Check acceptance criteria** - Task criteria match specification requirements 6. **Score consistency** - Numeric score (0-100) across dimensions 7. **Determine readiness** - Boolean assessment for implementation phase 8. **Human review** - Approve analysis results before proceeding ## Tool Use Invoke via babysitter process: `methodologies/spec-kit/spec-kit-planning` (analysis phase) Full pipeline: `methodologies/spec-kit/spec-kit-orchestrator`
- Key Principle
- Process
- Tool Use
What does the cross-artifact-analysis skill do?
Perform cross-artifact consistency and coverage analysis across constitution, specification, plan, and task artifacts to detect gaps, conflicts, and misalignments before implementation.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill cross-artifact-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.