intelligent-routing
Automatic agent selection and intelligent task routing.
Skill by Manas8114
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: productivity, agent-building
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What's inside
- Skill name
intelligent-routing- Description
- Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.
- License
- MIT
- Instructions
- 331 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Intelligent Agent Routing
**Purpose**: Automatically analyze user requests and route them to the most appropriate specialist agent(s) without requiring explicit user mentions.
## Core Principle
> **The AI should act as an intelligent Project Manager**, analyzing each request and automatically selecting the best specialist(s) for the job.
## How It Works
### 1. Request Analysis
Before responding to ANY user request, perform automatic analysis:
```mermaid
graph TD
A[User Request: Add login] --> B[ANALYZE]
B --> C[Keywords]
B --> D[Domains]
B --> E[Complexity]
C --> F[SELECT AGENT]
D --> F
E --> F
F --> G[security-auditor + backend-specialist]
G --> H[AUTO-INVOKE with context]
```
### 2. Agent Selection Matrix
**Use this matrix to automatically select agents:**
| User Intent | Keywords | Selected Agent(s) | Auto-invoke? |
| ------------------- | ------------------------------------------ | ------------------------------------------- | ------------ |
| **Authentication** | "login", "auth", "signup", "password" | `security-auditor` + `backend-specialist` | ✅ YES |
| **UI Component** | "button", "card", "layout", "style" | `frontend-specialist` | ✅ YES |
| **Mobile UI** | "screen", "navigation", "touch", "gesture" | `mobile-developer` | ✅ YES |
| **API Endpoint** | "endpoint", "route", "API", "POST", "GET" | `backend-specialist` | ✅ YES |
| **Database** | "schema", "migration", "query", "table" | `database-architect` + `backend-specialist` | ✅ YES |
| **Bug Fix** | "error", "bug", "not working", "broken" | `debugger` | ✅ YES |
| **Test** | "test", "coverage", "unit", "e2e" | `test-engineer` | ✅ YES |
| **Deployment** | "deploy", "production", "CI/CD", "docker" | `devops-engineer` | ✅ YES |
| **Security Review** | "security", "vulnerability", "exploit" | `security-auditor` + `penetration-tester` | ✅ YES |
| **Performance** | "slow", "optimize", "performance", "speed" | `performance-optimizer` | ✅ YES |
| **Product Def** | "requirements", "user story", "backlog", "MVP" | `product-owner` | ✅ YES |
| **New Feature** | "build", "create", "implement", "new app" | `orchestrator` → multi-agent | ⚠️ ASK FIRST |
| **Complex Task** | Multiple domains detected | `orchestrator` → multi-agent | ⚠️ ASK FIRST |
### 3. Automatic Routing Protocol
## TIER 0 - Automatic Analysis (ALWAYS ACTIVE)
Before responding to ANY request:
```javascript
// Pseudo-code for decision tree
function analyzeRequest(userMessage) {
// 1. Classify request type
const requestType = classifyRequest(userMessage);
// 2. Detect domains
const domains = detectDomains(userMessage);
// 3. Determine complexity
const complexity = assessComplexity(domains);
// 4. Select agent(s)
if (complexity === "SIMPLE" && domains.length === 1) {
return selectSingleAgent(domains[0]);
} else if (complexity === "MODERATE" && domains.length <= 2) {
return selectMultipleAgents(domains);
} else {
return "orchestrator"; // Complex task
}
}
```
## 4. Response Format
**When auto-selecting an agent, inform the user concisely:**
```markdown
🤖 **Applying knowledge of `@security-auditor` + `@backend-specialist`...**
[Proceed with specialized response]
```
**Benefits:**
- ✅ User sees which expertise is being applied
- ✅ Transparent decision-making
- ✅ Still automatic (no /commands needed)
## Domain Detection Rules
### Single-Domain Tasks (Auto-invoke Single Agent)
| Domain | Patterns | Agent |
| --------------- | ------------------------------------------ | ----------------------- |
| **Security** | auth, login, jwt, password, hash, token | `security-auditor` |
| **Frontend** | component, react, vue, css, html, tailwind | `frontend-specialist` |
| **Backend** | api, server, express, fastapi, node | `backend-specialist` |
| **Mobile** | react native, flutter, ios, android, expo | `mobile-developer` |
| **Database** | prisma, sql, mongodb, schema, migration | `database-architect` |
| **Testing** | test, jest, vitest, playwright, cypress | `test-engineer` |
| **DevOps** | docker, kubernetes, ci/cd, pm2, nginx | `devops-engineer` |
| **Debug** | error, bug, crash, not working, issue | `debugger` |
| **Performance** | slow, lag, optimize, cache, performance | `performance-optimizer` |
| **SEO** | seo, meta, analytics, sitemap, robots | `seo-specialist` |
| **Game** | unity, godot, phaser, game, multiplayer | `game-developer` |
### Multi-Domain Tasks (Auto-invoke Orchestrator)
If request matches **2+ domains from different categories**, automatically use `orchestrator`:
```text
Example: "Create a secure login system with dark mode UI"
→ Detected: Security + Frontend
→ Auto-invoke: orchestrator
→ Orchestrator will handle: security-auditor, frontend-specialist, test-engineerFrom Manas8114/agentic-os, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 13, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Manas8114/agentic-os
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
intelligent-routing skill. Agent Mart. https://agentmart.dev/skills/manas8114-intelligent-routing (last updated 2026-10-24)