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intelligence-route

Choose an agent and model tier using the task description and learned patterns. The skill can explain its recommendation, use compiler-based edits for supported simple changes, and record task outcomes to inform future routing decisions.

中文简介正在准备中。当前显示英语简介。

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Route tasks via the 3-tier model selector and learned patterns; emits a routing rationale via hooks_explain

查看安装方法

适用场景

  • Choose an agent and model before starting a task
  • Review the reasoning behind a routing recommendation
  • Apply supported code changes through the TypeScript compiler
  • Record outcomes to improve future task routing

包含的文件(1)

  • SKILL.md3.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Intelligence Routing

Pick the optimal agent + model tier for a task using learned patterns + the 3-tier router. Emits a hooks_explain rationale so the choice is auditable.

When to use

Before starting any non-trivial task. Replaces manual agent selection with data-driven decisions.

Steps

  1. Get an agent recommendation — mcp__plugin_ruflo-core_ruflo__hooks_route with the task description. Returns { recommended, confidence, reasoning }.
  2. Get a model tier recommendation — mcp__plugin_ruflo-core_ruflo__hooks_model-route for Haiku/Sonnet/Opus selection.
  3. Search for similar past patterns — mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-search to find prior successes.
  4. Predict outcome — mcp__plugin_ruflo-core_ruflo__neural_predict with the task description for a confidence-scored prediction.
  5. Spawn the recommended agent at the recommended model tier.
  6. (If --why was passed) — call mcp__plugin_ruflo-core_ruflo__hooks_explain to surface the routing rationale to the user.
  7. After task completes — call mcp__plugin_ruflo-core_ruflo__hooks_model-outcome with { task, model, outcome: "success"|"failure"|"escalated" } to train the router.

3-Tier Model Routing

TierHandlerLatencyCostWhen
1Deterministic codemod (TS compiler)~1ms$0Structural transforms with no LLM: var-to-const, remove-console, add-logging
2Haiku~500ms~$0.0002Low complexity (<30%), bug fixes, quick patches
3Sonnet/Opus2–5s$0.003–$0.015Complex reasoning, architecture, security, multi-file refactors

When hooks_route returns [CODEMOD_AVAILABLE] for a deterministic intent (var-to-const, remove-console, add-logging), call mcp__plugin_ruflo-core_ruflo__hooks_codemod with the intent + file — it applies the transform via the TypeScript compiler at $0, no LLM. Note: add-types, add-error-handling, async-await require judgement and route to a model (Tier 2/3) per ADR-143; they are NOT $0 codemods. Agent Booster is a fast-apply merge engine for LLM-produced edits, not the Tier-1 path.

Recording outcomes

Closing the routing loop is mandatory:

# Success (task, model and outcome are all required; model is haiku|sonnet|opus)
npx @claude-flow/cli@latest mcp exec -t hooks_model-outcome -p '{"task": "fix the flaky retry test", "model": "haiku", "outcome": "success"}'

# The model was too small and the work moved up a tier: use "escalated"; use "failure" if it did not work out
npx @claude-flow/cli@latest mcp exec -t hooks_model-outcome -p '{"task": "fix the flaky retry test", "model": "haiku", "outcome": "escalated"}'

The router learns from these calls. Skipping them = no learning.

CLI alternative

npx @claude-flow/cli@latest hooks route --task "description"
npx @claude-flow/cli@latest hooks pre-task --description "description"
npx @claude-flow/cli@latest hooks explain --task "description" --verbose

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同一仓库的技能

Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.

中文简介正在准备中。当前显示英语简介。

  • Adding newly available router models to chat-ui
  • Writing concise descriptions of model capabilities
  • Updating production and development model entries together
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中文简介正在准备中。当前显示英语简介。

  • Record the reasoning behind adopting a technology
  • Start an ADR for an API or data model change
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ruvnet/ruflo7.7万2026年10月18日 更新

adr-index

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Build a searchable index and relationship graph from ADRs, records of architectural decisions. Import two supported document formats, refresh existing metadata without duplicate relationships, and review summaries of statuses, missing references, and inconsistencies.

中文简介正在准备中。当前显示英语简介。

  • Index ADRs imported from another project
  • Refresh a graph that differs from files on disk
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ruvnet/ruflo7.7万2026年10月18日 更新

Rebuild the index of ADRs, records of architectural decisions, after files or relationship lines are deleted. It clears stored records and relationships, indexes the files still present, and checks that the final record count matches.

中文简介正在准备中。当前显示英语简介。

  • Rebuild the index after deleting an ADR file
  • Remove stale relationships after editing an ADR
  • Reconcile the ADR index on a schedule
ruvnet/ruflo7.7万2026年10月18日 更新

Review code changes against accepted Architecture Decision Records, documents that capture agreed design choices. Report violations, outdated references, compliant changes, and areas without ADR coverage, then suggest code fixes or a new decision record where appropriate.

中文简介正在准备中。当前显示英语简介。

  • Check a pull request before merging
  • Review major code changes against agreed design decisions
  • Find references to superseded ADRs
ruvnet/ruflo7.7万2026年10月18日 更新

Check saved architecture decision records (ADRs) for broken references, circular replacement relationships, and inconsistent statuses. Use the results to verify imported records or stop a CI check when selected integrity rules fail.

中文简介正在准备中。当前显示英语简介。

  • Checking ADR integrity after import
  • Blocking CI when ADR issues are found
  • Reviewing ADR data before a release
ruvnet/ruflo7.7万2026年10月18日 更新

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