What problem does it solve? Delegating work to subagents often fails silently: delegates lack the evidence they need, parallel agents overlap on the same files, and returned results get trusted without verification. This Skill gives you a disciplined procedure for deciding whether to delegate at all, writing a complete six-field brief, partitioning work across parallel agents, and judging every return as untrusted input before acting on it. ## Core Features & Use Cases - Four verbs: dispatch (one brief, one delegate), fanout (partition work into disjoint bundles), review (judge a return against its contract), and help (quick-reference card). - Six-field brief template: objective, evidence, rules, bounds, contract, and budget, each stated explicitly or marked not applicable, so delegates never guess at missing context. - Harness reference: per-platform tables covering Claude Code, GitHub Copilot, Google Antigravity, OpenAI Codex, DeepSeek Harness, and the OpenAI Agents SDK, including concurrency caps, nesting depth, and skill-loading behavior. - Use Case: You need three independent codebases researched in parallel. Use fanout to split the work into disjoint bundles with named sibling territories, dispatch one delegate per bundle, then review each return against its contract before merging findings. ## Quick Start Ask the agent to use the summon skill to delegate a research task to a subagent and review what comes back.