Delegate to this subagent when a proposed approach or research-report@1 needs risk review before a spec is written. Input is a proposed approach or research-report@1 JSON, optionally accompanied by context about the target environment. The agent identifies technical risks that would materially affect the spec or plan…
Delegate to this subagent after reader produces a findings list. Input is the findings array and reasoning from reader, along with the original research question. The agent synthesizes findings into a coherent research-report@1, surfaces contradictions between sources, identifies patterns across findings, and lists…
Delegate to this subagent when a requirement@1 draft from intake needs review for missing or underspecified dimensions before a spec can be written. Input is a requirement@1 JSON object. The agent evaluates gaps in priority order: testability of donewhen criteria, specificity of stakeholder, and explicitness of…
Delegate to this subagent when you have a raw need statement in free text — a problem description, user story, or feature request — and need it converted into a structured requirement@1 draft. Input is unstructured text only; no schema is required from the caller. The agent infers id, statement, stakeholder, why, and…
Delegate to this subagent when a set of requirement@1 drafts needs ranking before planning starts. Input is a list of requirement@1 objects. The agent ranks them by impact (who is affected and how badly), urgency (signals in why/donewhen indicating time pressure), and dependency order (a requirement that another…
Delegate to this subagent when a draft spec@1 needs checking against the workspace's whole-system architecture before it enters scribe/gate-spec — not against another spec, and not against a single function's signature, but against module boundaries, canonical abstractions, and invariants that span the codebase. Input…
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MIT
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