llm-ops
Local LLM health checks and cache management. Probe Ollama/vLLM/SGLang endpoints, clean model caches.
npx skills add majiayu000/claude-skill-registry --skill llm-ops --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLM Ops Manage local LLM runtimes and caches. ## Commands ```bash # Check all common LLM endpoints (Ollama, vLLM, SGLang) ./scripts/health.sh # Check specific endpoint ./scripts/health.sh --target ollama:http://127.0.0.1:11434 # Continue even if some fail ./scripts/health.sh --warn-only # Show cache sizes (dry-run) ./scripts/cache-clean.sh # Actually clean caches ./scripts/cache-clean.sh --execute # Clean additional path ./scripts/cache-clean.sh --path ~/.cache/torch --execute ``` ## Default Endpoints Checked - Ollama: `http://127.0.0.1:11434` - vLLM: `http://127.0.0.1:8000` - SGLang: `http://127.0.0.1:30000` ## Default Cache Directories - `~/.cache/ollama` - `~/.cache/huggingface` - `~/.cache/vllm` ## Environment Variables | Variable | Default | Description | | -------------------- | ----------- | ---------------------------- | | `LLM_HEALTH_TIMEOUT` | 2 | Seconds to wait per endpoint | | `LLM_CACHE_DIRS` | (see above) | Space-separated cache paths |
- Commands
- Default Endpoints Checked
- Default Cache Directories
- Environment Variables
Check all common LLM endpoints (Ollama, vLLM, SGLang) Check specific endpoint Continue even if some fail Show cache sizes (dry-run) Actually clean caches Clean additional path
What does the llm-ops skill do?
Local LLM health checks and cache management. Probe Ollama/vLLM/SGLang endpoints, clean model caches.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llm-ops --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.