Read-only cross-artifact consistency analysis after planning and before approval. Verifies that spec.md, requirements.json, plan.md, tasks/Tn.md, traceability.json are mutually consistent: no duplicate/ambiguous requirements, every behavior mapped to a task, no orphan tasks, no coverage gaps, no contradictions. Outputs artifact-analysis.json with coverage% and severity. CRITICAL/HIGH findings block the approval gate. Use when: planning produced plan.md + tasks + traceability.json, before the user approves the plan.
Explore 2-3 implementation options with trade-offs when the user describes a new feature or requirement. Use when: the user asks for a new feature design, implementation options, or technical trade-off analysis.
After implementation and before final verification, compare current code/tests against the intent inventory (requirements.json + traceability.json). Classify each requirement/behavior as covered, missing, partial, contradicts, or unrequested. Append missing/partial/contradicts as new tasks back to executing. Repeat until converged: zero blocker findings. Outputs convergence-report.json. Use when: executing produced test-report.md but before loom-verification-before-completion.
Expand each requirement into verifiable Behavior Obligations across 15 fixed dimensions (happy-path, boundary, invalid-input, authorization, state-transition, idempotency, concurrency, atomicity, external-failure, compatibility, security, performance, observability, recovery, forbidden-behavior) before planning. Use when: brainstorming produced requirements.json and spec is approved, but behaviors are still placeholders or only happy-path; before loom-writing-plans.
Read-only adversarial reviewer that looks for what SHOULD exist but doesn't, by cross-checking Behavior Obligations against code, tests, expected side effects, forbidden side effects, failure scenarios, and public API changes. Focuses on negative space: events that should not repeat, permissions that should not be bypassed, partial writes that should not happen, old APIs that should not change, swallowed exceptions, leaked secrets. Outputs findings.json. Use when: executing or converge needs an independent omission sweep.
Analyze user request + collect signals (file scope, keywords, worktree state, spec existence), then select pipeline steps via rule short-circuit / AI fallback / rule-based fallback. Select steps first, expose the choice to the user, and persist selected dynamic_steps only after explicit user confirmation; pipeline-plan.md is optional for manual review. Use when: user is unsure which pipeline type to pick, or wants AI to choose steps automatically.
Execute plan tasks via isolated subagents with reviewer checkpoints. Handles DONE/BLOCKED/NEEDS_CONTEXT states. Use when: a confirmed plan should be implemented through isolated subagents with reviewer checkpoints.
Overview of the loom engineering framework: pipeline stages, skills catalog, and review dimensions. Load when the user asks about loom capabilities or how to use it. Use when: the user asks how loom works, what skills exist, or how to run the engineering pipeline.