itsssssjack/seven-skills · Archived

route

Token-saving model router. Detects which AI providers and CLIs you have (ChatGPT/Codex, Gemini, Grok, OpenRouter, Hermes, local Ollama), then routes each task to the cheapest capable one — delegating grunt work to a cheaper CLI/local model, or switching the whole session's base model. Trigger on /route, "route this", "run this locally", "use the cheapest model", "save tokens", "which model should I use for X", or before any big batch/mechanical/long-context job that doesn't need frontier reason…

First seen Aug 10, 2026

Installation

$ npx skills add itsssssjack/seven-skills --skill route

Summary

  • Token-saving model router.
  • Detects which AI providers and CLIs you have (ChatGPT/Codex, Gemini, Grok, OpenRouter, Hermes, local Ollama), then routes each task to the cheapest capable one — delegating grunt work to a cheaper CLI/local model, or switching the whole session's base model.
  • Trigger on /route, "route this", "run this locally", "use the cheapest model", "save tokens", "which model should I use for X", or before any big batch/mechanical/long-context job that doesn't need frontier reasoning.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 10
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code codex gemini

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,137 B
  • docs SUMMARY.md 518 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

/route — Token-Saving Model Router

Route each task to the cheapest model that can actually do it, instead of burning frontier tokens on work a small/local/subscription model handles fine. Two mechanisms:

  • Delegate (works live, no restart): keep Claude as the brain, shell out a sub-task to a cheaper CLI or local model, bring the result back.
  • Base-switch (whole session, needs restart): repoint Claude Code's base model to a cheaper provider for an entire session — same mechanism as /free-mode.

When to use

  • /route or "route this", "do this on the cheapest model", "run it locally", "save tokens / save $", "which model for X?"
  • Before a batch / mechanical job (bulk refactors, find-replace-at-scale, boilerplate, test generation)
  • Before a huge-context read (summarize a giant file / repo) that doesn't need deep reasoning
  • When the work is private and shouldn't leave the machine

Don't route a single genuinely-hard reasoning task — just run it on the frontier model. Routing has overhead; only pay it when the task is cheap-able.

Step 1 — Detect what's available

Run this first and read the result (caches a profile to ~/.claude/skills/route/providers.json):

ROUTE_DIR=~/.claude/skills/route
echo "=== Agent CLIs ==="
for c in ollama codex gemini grok hermes claude; do
  p=$(command -v "$c" 2>/dev/null) && echo "  $c: $p" || echo "  $c: MISSING"
done
echo "=== Local Ollama models ==="
ollama list 2>/dev/null | tail -n +2 | awk 'NF{print "  "$1}' || echo "  (ollama not running)"
[ -z "$(ollama list 2>/dev/null | tail -n +2)" ] && echo "  ⚠ NO MODELS PULLED — run: ollama pull qwen2.5-coder:7b"
echo "=== Provider keys ==="
for k in OPENAI_API_KEY OPENROUTER_API_KEY XAI_API_KEY GEMINI_API_KEY ANTHROPIC_API_KEY; do
  [ -n "$(printenv $k)" ] && echo "  $k: set" || echo "  $k: —"
done
[ -f ~/.config/jack-keys.env ] && echo "  (also source ~/.config/jack-keys.env for stored keys)"

Step 2 — First run: confirm the stack

If providers.json is missing (or the user says "re-detect" / "I added a provider"), ask which of these they have and want to use, then save the answers:

  1. ChatGPT / OpenAI — Codex CLI (codex) or OPENAIAPIKEY
  2. Google Gemini — gemini CLI or GEMINIAPIKEY
  3. Grok / xAI — XAIAPIKEY
  4. OpenRouter — OPENROUTERAPIKEY (gives free + cheap models; see /free-mode)
  5. Hermes (Nous) — hermes CLI
  6. Local (Ollama) — and which models are pulled

Persist to ~/.claude/skills/route/providers.json so later runs skip the questions.

The routing table

Task class Route to Why
Private / sensitive data Local Ollama only Never leaves the machine
Bulk / mechanical / boilerplate Local Ollama → else cheapest API Volume work, low reasoning
Huge-context read / summarize Gemini CLI Big context window, cheap per token
Agentic code grunt (refactor, scaffold) Codex CLI (in a git repo) Purpose-built, runs on your ChatGPT sub
Multi-tool / autonomous run Hermes Native tool-calling + routing
Cheap overflow when local is busy OpenRouter free/cheap model $0–pennies
Hard reasoning / architecture / final synthesis Stay on Claude (or frontier) Worth the tokens

Step 3 — Route the task (delegation, works live)

Pick the target, then shell out via Bash and bring the output back for Claude to review/assemble:

# Local / private / bulk  (free, offline)
ollama run qwen2.5-coder:7b "<prompt>"

# Huge-context read or summary  (cheap, big window)
gemini -p "<prompt>"                      # or:  cat bigfile | gemini -p "summarize"

# Agentic code grunt work  (must be inside a git repo)
codex exec --full-auto "<prompt>"

# Autonomous / multi-tool run
hermes -z "<prompt>"

Then Claude reviews/finishes the cheap model's output. The frontier model stays the orchestrator; it just stops doing the cheap parts itself.

Whole-session cheap mode (base-switch, needs restart)

When the entire session is routine work, switch the base model for the whole session instead of delegating task-by-task — identical mechanism to /free-mode: set ANTHROPICBASEURL + ANTHROPIC_MODEL in ~/.claude/settings.json to a cheaper provider, then restart Claude Code. Use /free-mode on for the OpenRouter/Qwen path. Always confirm with the user before a base-switch — it forces a restart.

Cost ladder (try cheapest first, escalate only on failure)

  1. Local Ollama — $0, private, offline
  2. A subscription you already pay for (ChatGPT via Codex, Gemini) — sunk cost, no marginal tokens
  3. OpenRouter free / cheap models
  4. Frontier (Claude / GPT / Grok premium) — reserve for the hard ~20%

Principles

  • Default to the cheapest plausible model; escalate only when it fails or the output is weak.
  • Private/sensitive → local only. Never route confidential code or client data off-machine.
  • The frontier model is the brain; cheap models are the hands.
  • One model is never strictly best — route by the specific task in front of you.
  • Confirm before any base-switch (restart required).

Setup gaps (the detector flags these)

  • No Ollama models → ollama pull qwen2.5-coder:7b (great small coder; use :32b if you have ~24GB+ RAM). This is the #1 thing to fix — without it there's no local tier.
  • No OpenRouter key → run /free-mode to get the free Qwen3-Coder path.
  • No Grok → add XAIAPIKEY (or wire Grok via OpenRouter).