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VelavalapallisairamVelavalapallisairam/Auto-Router/skills/routing/SKILL.md

routing

Skill1 starsChanged yesterdayMITView on GitHub

Change or explain the Auto Router's settings and routing. Use when the user asks, in words, to switch budget mode (economical, balanced, quality), change which model a tier or kind of work uses, limit parallel agents, turn the dashboard or independent reviews on or off, restrict Fable to certain areas, or asks why a task was routed to a model.

17 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use parallelization, prompt-chaining and 1 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • hajekimSkill

    parallelization

    This skill should be used when the user wants to "run tasks in parallel", "concurrent LLM calls", "fan-out and fan-in", "parallel agents", "simultaneous execution", "reduce latency with concurrency", "parallel sub-tasks", "parallel processing", "concurrent agent execution", "run agents simultaneously", "speed up with parallelism", "async agent execution", "batch LLM calls", "parallel workflow", "parallelize agent tasks", or needs to execute multiple independent tasks simultaneously. Also responds to Korean: "병렬 작업 실행", "동시 LLM 호출", "팬아웃 팬인 패턴", "병렬 에이전트", "동시 실행", "동시성으로 지연 시간 감소", "병렬로 실행", "동시에 여러 작업", "병렬 처리", "동시에 돌려줘", "빠르게 병렬로", "여러 작업 동시 실행해줘". Also responds to Japanese: "並列処理", "同時実行", "並列エージェント", "並行LLM呼び出し", "ファンアウト・ファンイン", "複数タスクを同時に実行したい", "処理速度を上げたい", "非同期エージェント", "バッチ処理", "並列で動かしたい" Also responds to Chinese: "并行处理", "并发执行", "并行智能体", "同时调用多个LLM", "扇出扇入模式", "多任务并行运行", "加快处理速度", "异步智能体", "批量LLM调用", "同时运行多个任务".. Apply this skill to design or implement the Parallelization agentic design pattern.

    Also in 3 projects that use this

  • hajekimSkill

    prompt-chaining

    This skill should be used when the user wants to "chain prompts", "build a pipeline", "break down complex tasks into steps", "sequential LLM calls", "multi-step reasoning", "pipeline pattern", "sequential agent pipeline", "multi-step prompt pipeline", "LLM chain", "step-by-step agent", "prompt pipeline", "decompose task into prompts", "stage-by-stage processing", "chained LLM calls", or when a task is too complex for a single prompt and needs to be decomposed into sequential sub-tasks. Also responds to Korean: "프롬프트 체이닝", "체인 방식 에이전트", "단계별 LLM 호출", "복잡한 작업 분해", "순차적 프롬프트 파이프라인", "단계적 작업 처리", "단계별 처리", "순차 처리 에이전트", "파이프라인 만들어줘", "단계적으로 처리해줘", "연속 프롬프트", "체이닝 해줘". Also responds to Japanese: "プロンプトチェーニング", "ステップごとに処理", "順次LLM呼び出し", "パイプライン構築", "複雑なタスクを分解", "段階的エージェント", "連続プロンプト", "LLMパイプライン", "順番に処理してほしい", "チェーン方式エージェント" Also responds to Chinese: "提示词链", "顺序调用LLM", "构建流水线", "分解复杂任务", "逐步处理", "链式提示", "多步骤流水线", "按顺序处理任务", "提示词管道", "帮我一步一步处理".. Apply this skill to design, implement, or explain the Prompt Chaining agentic design pattern.

    Also in 3 projects that use this

  • NVIDIASkill

    testing

    Run Python and Rust tests for physicsnemo-curator using uv + pytest with coverage reporting via pytest-cov, and cargo-nextest for Rust tests. Includes benchmark workflows with pytest-benchmark and criterion.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

6 rules. 0 are common, 3 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 16 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use the mod's own tool. It validates the change against the schema, backs up the previous file, replaces it in one step, and reloads.

    line 12
  2. Very specific:

    If that answers "not understood", read the configuration with { "action": "get" } and set exact paths: { "action": "set", "changes": [{ …

    line 17
  3. Very specific:

    If the tool is not available (the mod is not loaded in this session), say so.

    line 32
  4. Distinctive:

    Keep simple questions, wording fixes, small edits and anything that leans on this conversation in the main session.

    line 50
  5. Distinctive:

    Ask each agent for a short report.

    line 54
  6. Distinctive:

    Never repeat a failing call unchanged.

    line 61

“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Auto Router

The Auto Router is a mod that runs by itself. It classifies every request locally, picks the cheapest capable model and effort, routes subagents, and shows it all in the Auto Router pane. Nobody has to invoke this skill for routing to happen. Load it only to change a setting or explain a decision.

Changing a setting the user asked for in words

Use the mod's own tool. It validates the change against the schema, backs up the previous file, replaces it in one step, and reloads. Never edit config.json by hand while the tool is available.

  1. The tool is deferred. Load it with ToolSearch: select:mcp__auto-router__configure.
  2. For a request in the user's words, pass it through: { "action": "request", "request": "switch to economical mode" }
  3. If that answers "not understood", read the configuration with { "action": "get" } and set exact paths: { "action": "set", "changes": [{ "path": "budgetMode", "value": "economical" }] }
  4. Report what the tool answered. If it refused the change, say why in its words. Do not retry with a different value the user did not ask for, and do not change any other setting.
The user saysPath and value
Switch to economical modebudgetMode: economical
Use Opus for complex frontend workappend to routing.overrides: { "domain": "frontend", "complexity": "complex", "model": "opus" }
Limit parallel agents to oneguardrails.maxParallelAgents: 1 (and guardrails.defaultParallelAgents: 1)
Disable the dashboardsidePanel.enabled: false, sidePanel.autoOpen: false
Use Fable only for architecture and securityrouting.headChef: { "domains": ["architecture", "security"], "exceptional": false }
Require independent reviews for high-risk changesguardrails.independentReview: true, guardrails.reviewMode: remind

A change to a guardrail, a risk floor or the protected sessions is always put to the user for confirmation. That is by design: do not look for a way round it.

If the tool is not available (the mod is not loaded in this session), say so. The user can run /auto-router config <request> themselves, or the file can be edited at ~/.claude/auto-router/config.json against config.schema.json in the same folder, after copying the old file into backups/.

Explaining a decision

/auto-router status prints the current task's route and the reason. The pane's Router card shows the same. A model line reads "assigned" for what the router asked for and "answered (API)" for what the API reported; only the second is evidence of what ran.

The kitchen

AgentTypeDefault modelFor
Head Chefauto-router:head-cheffableComplex architecture, security, exceptional reasoning
Sous Chefauto-router:sous-chefopusAdvanced development, debugging, difficult research
Line Cookauto-router:line-cooksonnetStandard development, testing, routine work
Prep Cookauto-router:prep-cookhaikuSimple searches, summaries, repetitive edits
Independent Reviewerauto-router:independent-revieweropusFresh-context, read-only review

Delegation rules

  • Keep simple questions, wording fixes, small edits and anything that leans on this conversation in the main session. A subagent starts cold and re-reads what you already know.
  • Delegate independent research, an isolated implementation, a complex investigation, or parts that can truly run apart.
  • One agent at a time by default. Two at most; a third is refused by the mod.
  • For substantial work: inspect, plan, implement, test, review. Not one agent per stage.
  • Ask each agent for a short report. Give it the files and the definition of done, not the whole conversation.
  • High-risk work gets an independent review before it is called done: give the reviewer the original requirements and the files changed.

Failure rules

  • Two substantive failures (a failing test, a type error, a crash) move the task up one tier; the mod does this and says so beside the error.
  • An environment failure (a missing program, a permission, a timeout, the network) is not a reasoning problem. Fix the environment or ask the user.
  • Never repeat a failing call unchanged.

What the router never does

It never approves a tool call, never sets a permission mode, never changes settings.json, and never reports a model as having run without the API saying so.

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