Model Router

SkillProductivity

Recommend which model or provider preset to use based on cost, latency, context size, and task difficulty. Use when the user asks which model to pick or when work is mismatched to the current model.

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 Model Router skill

What this skill tells your AI

The instructions your AI receives, as published by navinspire-ia/navin in navin/skills/model-router/SKILL.md and read by ahel’s review.

Overview

Help choose the right model configuration for the job. You cannot always switch models mid-turn yourself - recommend Settings → Models / Providers presets when a change is needed.

Decision factors

FactorPrefer
Simple edits, chatty Q&AFast / cheap model
Large codebase reasoning, hard bugsStronger reasoning model
Huge context / many filesModel with large context window
Vision / imagesVision-capable model
Strict JSON / tool-heavy loopsModels known-good with tools
On-prem / privacyLocal (Ollama / vLLM / LM Studio)

Task-based routing (modelRoutes)

Navin maps roles to named presets in Settings → Models → Task routing (modelRoutes in config). Values are preset keys (e.g. primary, economy), not free-form labels.

Automatic (preferred)

Workflow slash commands pick the routed preset for that turn:

RoleCommands (examples)
plan/blueprint, /board
dev/forge, /mobile, /ops
deep/risklens
security/fortify, /probe, /pentest, …
review/inspect, /turbo
docs/studio, /seo, /leads, /campaign, /atlas, /report
search/scrape
fast/pulse (+ Code editor assist)

So /forge uses the dev route automatically - the user does not need /pilot first.

Manual (/pilot)

TaskSuggested preset profile
searchfast, cheap, large context (web synthesis)
planstrongest reasoning model
review / securityhigh-precision reasoning, low temperature
devbest coding model, tool-reliable
fastminimal latency for quick edits
deepmaximum capability regardless of cost

/pilot <task> switches the session preset in memory. Recommend it for free-form chat when the phase changes without a workflow command, and /checkpoint save before switching mid-task.

Workflow

  1. Classify the task (shallow / standard / deep) and modality (text, code, vision).
  2. Check the current model from context / Settings snapshot if available.
  3. Recommend:
    • stay on current model, or
    • run the matching workflow command so auto-routing applies, or
    • switch via /model <preset> / /pilot <task>, or
    • create the missing preset and assign it under Settings → Models → Task routing.
  4. Explain why in one short paragraph (cost vs quality vs latency).
  5. If the user must configure a route: point them to Settings → Models → Task routing and continue with best effort on the current model until they save.

Anti-patterns

  • Blindly recommending the most expensive model
  • Suggesting a provider that is not configured
  • Telling the user to /pilot before /forge / /blueprint when Task routing is already configured (those workflows auto-route)
  • Changing approach mid-task without saying the model is the bottleneck

Signals

GitHub stars
22
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
model-router
Source
github.com/navinspire-ia/navin