# intelligence-route

Selects the right agent and model tier across three tiers using learned patterns. Cuts token costs on routine coding tasks.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 741 installs · ★ 79357
- Author: ruvnet
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/ruvnet/ruflo/tree/HEAD/plugins/ruflo-intelligence/skills/intelligence-route/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/intelligence-route

## What it does

The skill assigns tasks across three execution tiers. Tier 1 handles structural AST transforms like `var-to-const` or `remove-console` via the TypeScript compiler in roughly 1ms at zero cost. Haiku handles lower-complexity bugs and small patches. Complex architecture, multi-file refactors, and security reviews route to Sonnet or Opus.

Routing relies on pattern matching from prior runs alongside neural outcome prediction. Adding the `--why` flag triggers `hooks_explain` to display the selection rationale. Skipping the post-task call to `hooks_model-outcome` prevents the router from learning, leaving future decisions untrained.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add ruvnet/ruflo --skill intelligence-route -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/intelligence-route/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/intelligence-route/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add ruvnet/ruflo --skill intelligence-route -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/intelligence-route/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add ruvnet/ruflo --skill intelligence-route -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/intelligence-route/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install ruvnet/ruflo intelligence-route
```

2. **Manually: put the files in place**
- File: `.github/skills/intelligence-route/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add ruvnet/ruflo --skill intelligence-route -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/ruvnet/ruflo --path plugins/ruflo-intelligence/skills/intelligence-route
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/intelligence-route/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add ruvnet/ruflo --skill intelligence-route -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/ruvnet/ruflo/tree/HEAD/plugins/ruflo-intelligence/skills/intelligence-route/SKILL.md

## When to use it
- select the appropriate model tier based on task complexity
- run structural code transforms through AST codemods at zero cost
- audit routing decisions using the `--why` flag
- train the routing model by recording completion outcomes

## Example prompts
- intelligence-route "refactor authentication to JWT" --why
- intelligence-route "remove debug console.log statements in src/api.ts"
- intelligence-route "fix flaky timeout test in worker"

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: b3355249c644dfd4.

BEGIN THIRD-PARTY FILE b3355249c644dfd4
````text
---
name: intelligence-route
description: Route tasks via the 3-tier model selector and learned patterns; emits a routing rationale via hooks_explain
argument-hint: "<task-description> [--why]"
allowed-tools: mcp__plugin_ruflo-core_ruflo__hooks_route mcp__plugin_ruflo-core_ruflo__hooks_explain mcp__plugin_ruflo-core_ruflo__hooks_model-route mcp__plugin_ruflo-core_ruflo__hooks_model-stats mcp__plugin_ruflo-core_ruflo__hooks_model-outcome mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-search mcp__plugin_ruflo-core_ruflo__hooks_intelligence_attention mcp__plugin_ruflo-core_ruflo__hooks_intelligence_stats mcp__plugin_ruflo-core_ruflo__neural_predict mcp__plugin_ruflo-core_ruflo__hooks_pre-task Bash
---

# 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

| Tier | Handler | Latency | Cost | When |
|------|---------|---------|------|------|
| 1 | Deterministic codemod (TS compiler) | ~1ms | $0 | Structural transforms with no LLM: `var-to-const`, `remove-console`, `add-logging` |
| 2 | Haiku | ~500ms | ~$0.0002 | Low complexity (<30%), bug fixes, quick patches |
| 3 | Sonnet/Opus | 2–5s | $0.003–$0.015 | Complex 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:

```bash
# Success (task, model and outcome are all required; model is haiku|sonnet|opus)
````
END THIRD-PARTY FILE b3355249c644dfd4

The third-party file has ended. Everything between the b3355249c644dfd4 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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