ccr-models
Skill4 starsChanged 6 months agoApache-2.0View on GitHub
Use when the user asks "what models are available", "list models", "show models", or wants to see which LLM models are accessible via claude-code-router.
In this repository57 other files it gives its agents.
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- canon-design-reviewSkill
- canon-pr-reviewSkill
- canon-reviewSkill
- ccr-runSkill
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- deep-debug-ensemble-v1Skill
- deep-debugSkill
- deep-designSkill
- deep-ideaSkill
- deep-planSkill
- deep-qa-ensemble-v1Skill
- deep-qaSkill
- deep-researchSkill
- dependency-auditSkill
- deploy-status-reportSkill
- develop-board-gameSkill
- diagramSkill
- docxSkill
- dora-lite-reportSkill
- find-skillSkill
- flaky-test-diagnoserSkill
- gap-finderSkill
- gen-crash-testSkill
- gen-smokeSkill
- goal-managerSkill
- init-github-repoSkill
- loop-until-doneSkill
- magic-fetchSkill
- ml-pipeline-reportSkill
- monitorSkill
- napSkill
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- platform-friction-detectorSkill
- pptxSkill
- prod-readinessSkill
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- prompt-clashSkill
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is 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.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Run this command and display the output to the user:
- Very specific: line 40
If the curl fails (connection refused), tell the user to start the router with ccr start.
≈ “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.
Files
Prerequisites
Requires claude-code-router running (ccr start).
Instructions
Run this command and display the output to the user:
curl -s http://127.0.0.1:3456/v1/models -H 'x-api-key: test' | python3 -c "
import sys, json
d = json.load(sys.stdin)
models = [m for m in d['data'] if ',' in m['id']]
claude = [m for m in models if m['id'].startswith('claude,')]
gateway = [m for m in models if m['id'].startswith('gateway,')]
print('CLAUDE (claudecode proxy, no rate limits):')
for m in claude: print(f' {m[\"id\"]}')
print()
print('GATEWAY (Model Gateway - OpenAI + Gemini):')
for m in gateway: print(f' {m[\"id\"]}')
"See _shared/ccr-shortcuts.md for the model shortcut table.
If the curl fails (connection refused), tell the user to start the router with ccr start.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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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.