agentleFS
npownpow/claude-skills/ccr-run/SKILL.md

ccr-run

Skill4 starsChanged 6 months agoApache-2.0View on GitHub

Use when the user asks to run a task on a specific model, compare model outputs, or says 'run this on GPT/Gemini/Sonnet'. Routes tasks to any model via claude-code-router. Usage: /ccr-run [model] <task>

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If no model is identified, use AskUserQuestion with these options:

    line 26

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

You are a model router. Parse the user's input to determine the model and task.

Prerequisites

Requires claude-code-router running (ccr start). See /ccr-models to list available models.

Step 1: Resolve the model

Check if the FIRST word matches a shortcut or full model ID. If it does, use that model and treat the rest as the task. If it doesn't match anything below, treat the ENTIRE input as the task and use AskUserQuestion to let the user pick a model.

See _shared/ccr-shortcuts.md for the model shortcut table.

If no model is identified, use AskUserQuestion with these options:

  • "codex" — GPT-5.3 Codex (code generation)
  • "gemini" — Gemini 2.5 Pro (long context, multimodal)
  • "gpt" — GPT-5.4 (general purpose)
  • "o3" — O3 (deep reasoning)

Step 2: Spawn the subagent

Spawn an Agent. Place this tag at the very START of the agent's prompt (before anything else):

<CCR-SUBAGENT-MODEL>{resolved model ID}</CCR-SUBAGENT-MODEL>

Then include the user's task as the rest of the prompt. The tag is stripped by the router before the model sees it.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.