00-finalize-llmops-skill
Consolidate all Part 8 skills into a production-ready llmops-fine-tuner skill
npx skills add majiayu000/claude-skill-registry --skill 00-finalize-llmops-skill --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.
# Finalize Your LLMOps Skill Throughout Part 8, you built specialized skills for each LLMOps capability: | Chapter | Skill | Capability | |---------|-------|------------| | 61 | `llmops-decision-framework` | When to fine-tune | | 62 | `llmops-compute-planner` | VRAM budgeting | | 63 | `llmops-data-engineer` | Dataset creation | | 64 | `llmops-fine-tuner` | Training workflows | | 67 | `model-merging` | Adapter combination | | 68 | `model-alignment` | DPO safety | | 69 | `model-evaluation` | Quality gates | | 70 | `model-serving` | Deployment | | 71 | `agent-integration` | Framework connection | Now you will consolidate these into one production-ready `llmops-fine-tuner` skill that composes all capabilities. This is Layer 3 work: transforming specialized knowledge into reusable intelligence. ## Why Consolidation Matters **The Problem with 9 Separate Skills:** When you need to fine-tune a model for production, you currently must: 1. Invoke `llmops-decision-framework` to determine if fine-tuning is appropriate 2. Invoke `llmops-compute-planner` to budget VRAM 3. Invoke `llmops-data-engineer` to create datasets 4. Invoke `llmops-fine-tuner` for training 5. Invoke `model-evaluation` for
- Why Consolidation Matters
- Skill Consolidation Architecture
- The Composition Pattern
- Cohesion Analysis
- Creating Your Consolidated Skill
- Step 1: Define the Unified SKILL.md
- Step 2: Merge Skill Content
- Step 3: Define Handoff Protocols
- Step 4: Validate Consolidation
- Capability Preservation Checklist
- Production Readiness Criteria
- What You Built
- Try With AI
- Prompt 1: Design Your Skill Structure
mkdir -p .claude/skills/llmops-fine-tuner Test with minimal example claude --skill llmops-fine-tuner " Create a Task API model:
What does the 00-finalize-llmops-skill skill do?
Consolidate all Part 8 skills into a production-ready llmops-fine-tuner skill
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill 00-finalize-llmops-skill --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.