Smart Routing for 400+ Commands

SkillDev tools

Usar cuando se necesita descubrir o enrutar a un comando específico entre los 400+ disponibles.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Smart Routing for 400+ Commands skill

What this skill tells your AI

The instructions your AI receives, as published by gonzalezpazmonica/savia in .claude/skills/smart-routing/SKILL.md and read by ahel’s review.

Intelligent command discovery and routing for large tool catalogs. Maps user intent to relevant command categories, loads only necessary tools, maintains usage frequency for Top-20 prioritization.

Core Components

Intent Classification

Parse user request to identify primary and secondary intents:

User: "¿Cómo está el sprint?"
  → Primary: sprint status tracking
  → Category: PM Operations
  → Tools: [sprint-status, board-flow, daily-routine]

Implemented in Step 1 (input analysis):

  • Extract keywords (sprint, status, dashboard, report, security, etc.)
  • Map to category probabilities
  • Select top 1-2 categories

Frequency Tracking

Maintain data/tool-usage.jsonl with:

{ "command": "sprint-status", "count": 47, "last_used": "2026-03-06T15:30:00Z", "category": "pm" }

Update after each command execution.

Top-20 Algorithm

Always available commands (never unloaded):

  1. Most-used 10 commands (cross-category)
  2. 10 most-used from active category

Loaded only when explicitly searched or category active:

  • Remaining 90% of catalog
  • Loaded via /tool-search or /tool-catalog

Routing Logic (5 Steps)

Step 1: Intent Analysis (input)

  • Extract keywords from user request
  • Assign category probabilities (PM, Dev, Infra, Reporting, Compliance, Discovery, Admin)
  • Identify secondary categories if applicable

Step 2: Category Selection

  • Primary category: highest probability
  • Secondary: if probability >30%, include its top tools
  • Load 20-30 tools from selected categories

Step 3: Usage Frequency Weighting

  • Boost: most-used commands in category (+priority in suggestions)
  • Order results by: relevance + frequency

Step 4: Suggestion Generation

  • Top 3 candidate commands for primary category
  • 1-2 commands from secondary category
  • Brief description + confidence score (%)

Step 5: User Confirmation

  • Show suggestions with confidence
  • User selects or enters new search
  • Execute selected command or refine search

Data Structure

categories:
  pm: [pbi-*, sprint-*, capacity-*, project-*]
  dev: [spec-*, dev-*, arch-*, code-*]
  infra: [infra-*, pipeline-*, deploy-*, env-*]
  reporting: [report-*, audit-*, track-*, metric-*]
  communication: [scheduled-*, notify-*, chat-*]
  compliance: [security-*, compliance-*, aepd-*, equality-*]
  discovery: [discovery-*, jtbd-*, prd-*, rules-*]
  admin: [plugin-*, agent-*, profile-*, config-*]

usage_tracking: data/tool-usage.jsonl
command_metadata: .opencode/commands/*.md
skill_metadata: .opencode/skills/*/SKILL.md
agent_metadata: .opencode/agents/*.md

Integration Points

  • /tool-search — Explicit search activation
  • /tool-catalog — Browse categories
  • NL command resolution — Implicit routing
  • Session init — Pre-load Top-20

Signals

GitHub stars
50
Forks
12
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
smart-routing-2
Source
github.com/gonzalezpazmonica/savia