faion-ml-ops
ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability.
npx skills add majiayu000/claude-skill-registry --skill faion-ml-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.
> **Entry point:** `/faion-net` — invoke this skill for automatic routing to the appropriate domain. # ML Ops Skill **Communication: User's language. Code: English.** ## Purpose Handles ML model operations. Covers fine-tuning, evaluation, cost management, and observability. ## Context Discovery ### Auto-Investigation Check these project signals before asking questions: | Signal | Where to Check | What to Look For | |--------|----------------|------------------| | **Dependencies** | requirements.txt | transformers, peft, openai, tiktoken, langsmith | | **Training data** | /data, /datasets | JSONL files for fine-tuning | | **Logs/metrics** | Grep for "langsmith", "wandb", "mlflow" | Existing observability tools | | **Cost tracking** | Grep for "tiktoken", "count_tokens" | Token counting implementation | ### Discovery Questions ```yaml question: "What ML operation are you working on?" header: "Operation Type" multiSelect: false options: - label: "Fine-tuning LLM" description: "Custom model training (OpenAI API, LoRA, QLoRA)" - label: "Model evaluation" description: "Benchmark performance, LLM-as-judge" - label: "Cost optimization" description: "Reduce API costs, prompt caching, batchi
- Purpose
- Context Discovery
- Auto-Investigation
- Discovery Questions
- Scope
- Quick Start
- Methodologies (15)
- Code Examples
- OpenAI Fine-tuning
- LoRA Fine-tuning
- Cost Tracking
- LLM Observability with LangSmith
- Fine-tuning Decision Matrix
- Cost Reduction Strategies
What does the faion-ml-ops skill do?
ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill faion-ml-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.