Agent skill · AI & Agents

intelligence-route

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

rUv71,307★ · +1,002/wk · 3 repos on radarProfile →
claude-codecodexcan modify filesMIT
Install
npx skills add ruvnet/ruflo --skill intelligence-route --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: mcp__plugin_ruflo-core_ruflo__hooks_routemcp__plugin_ruflo-core_ruflo__hooks_explainmcp__plugin_ruflo-core_ruflo__hooks_model-routemcp__plugin_ruflo-core_ruflo__hooks_model-statsmcp__plugin_ruflo-core_ruflo__hooks_model-outcomemcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-searchmcp__plugin_ruflo-core_ruflo__hooks_intelligence_attentionmcp__plugin_ruflo-core_ruflo__hooks_intelligence_statsmcp__plugin_ruflo-core_ruflo__neural_predictmcp__plugin_ruflo-core_ruflo__hooks_pre-taskBash
Path: plugins/ruflo-intelligence/skills/intelligence-route/SKILL.md
Open the folder on GitHub →
Where it comes from
Source: ruvnet/ruflo
Stars: 67,015 · +629 this week
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 `success: true|false` to train the router. ## 3-Tier Model Routin

What's inside
Steps it walks through
  1. When to use
  2. Steps
  3. 3-Tier Model Routing
  4. Recording outcomes
  5. CLI alternative
Commands it runs
Success
mcp tool call hooks_model-outcome --json -- '{"taskId": "T123", "success": true, "model": "haiku"}'
Failure with reason
mcp tool call hooks_model-outcome --json -- '{"taskId": "T123", "success": false, "model": "haiku", "reason": "complexity-misjudged"}'
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 --topic "routing decision"
More from ruflo
All skills →
About this skill
What does the intelligence-route skill do?

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

How do I install it?

Run `npx skills add ruvnet/ruflo --skill intelligence-route --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going