Run Phase 1a (behavioral specification) and Phase 1b (verification architecture) for the active VCSDD feature. Invokes vcsdd-builder to write EARS-format requirements and purity boundary analysis.
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See how to installReview the instructions the agent will receive before you install.
Runs the spec crystallization phases (1a and 1b) for the active feature. Phase 1a produces the behavioral specification using EARS format. Phase 1b produces the verification architecture with purity boundary map and proof obligations.
Run immediately after /vcsdd-init. Requires active feature at phase init or 1a.
.vcsdd/index.json.activeFeature (mirrored to .vcsdd/active-feature.txt)init, 1a, or 1bspecs/behavioral-spec.md with EARS requirementstransitionPhase(feature, '1a')specs/verification-architecture.mdtransitionPhase(feature, '1b')Lean mode still completes both Phase 1a and Phase 1b. The difference is that lean mode typically records fewer required: true proof obligations and does not require strict-mode human approval at the spec gate.
/vcsdd-spec
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Use this skill when running or interpreting VCSDD adversarial reviews. Provides calibration guidance for the Adversary agent, finding severity classification, and anti-leniency enforcement patterns.
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Run Phase 3 (adversarial review) for the active VCSDD feature. Spawns a fresh vcsdd-adversary agent with zero Builder context to review implementation against spec. Produces binary PASS/FAIL verdict per dimension.
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Create a git commit for the current VCSDD phase. Auto-generates a conventional commit message from state.json including phase, sprint, gate verdict, and affected bead IDs. Tags with vcsdd/<feature>/phase-<id>.
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Run the strict-mode sprint contract review after Phase 2c. Spawns a fresh vcsdd-adversary instance to review `contracts/sprint-N.md` and writes a PASS/FAIL verdict under `reviews/contracts/sprint-N/output/`.
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Run Phase 6 (convergence check) for the active VCSDD feature. Validates four-dimensional convergence: finding diminishment, finding specificity, criteria coverage, and duplicate detection.
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Use this skill during Phase 6 convergence checks. Provides four-dimensional convergence analysis, hallucination detection, and duplicate finding identification.
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