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Found 8 Skills
LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, implementing round-robin or priority-based agent dispatch.
Use when starting any development task beyond single-line fixes — classifies the request, detects current project phase, and routes to the right specification or execution tool
Route agents to the right web access method only when built-in web access tools are unavailable or insufficient for the task. Use for public search/fetch, browser interaction, authenticated browsing, screenshots, web app testing, or Electron app control when built-in tools cannot handle the requirement.
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.
Dodun 操作手册。Use when the user asks how Dodun works, how to install or use the CLI, how to join a space, send or receive with a token, manage skills, inspect inbox or attachments, manually route a task, or debug why routing / execution / receive-back failed. Prefer this over the old `dodun-agent-network` wording and only use legacy register/search/send commands when the user explicitly wants low-level directory debugging.
Lightweight workflow router. Use for substantial planning, implementation, simplification, handoff, review, diagnosis, explanation, architecture discovery, or prototyping work in repos that follow this workflow; honor explicit skill requests and repo-local instructions.
Decide which CLI worker (Claude, OpenCode, or Gemini) should implement a given task. Routes by task type — large-context to Gemini, mechanical to OpenCode, judgment to Claude. Returns the chosen worker and a short rationale; the caller invokes the worker via scripts/invoke-worker.sh.
Determine the stage of a research task and route it to a main workflow. Use when the user asks for "beginner's guide", "start research process", "what should I use for this research task", "help me choose a research skill", or requests the rw-research-router workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.