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You've spent this chapter building mental models: the LLMOps lifecycle, training taxonomy, economic analysis, use case specification. All valuable knowledge—but knowledge fades. Six months from now, you won't remember the exact criteria for choosing DPO over RLHF.
Passed 15 of 22 test cases with the skill, and 10 of 22 without it.
and 3 more in the full report
5 fixed10 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to fine-tune an LLM for contract clause extraction. We have 50 training examples, need it operational next week, and our target legal format changes every month. Should we proceed with fine-tuning?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends against fine-tuning for failing the 500 example minimum data threshold. | Missed | Passed |
| Flags monthly format changes as violating the 6-month stability requirement. | Missed | Passed |
The instructions your model reads when the skill loads.
You've spent this chapter building mental models: the LLMOps lifecycle, training taxonomy, economic analysis, use case specification. All valuable knowledge—but knowledge fades. Six months from now, you won't remember the exact criteria for choosing DPO over RLHF.
That's why we encode knowledge into skills.
This lesson transforms your chapter learnings into a reusable llmops-decision-framework skill. Every future LLMOps project starts with this skill providing structured guidance. The knowledge compounds instead of disappearing.
Decision skills differ from procedural skills. You're not encoding "how to train a model" (that's procedural). You're encoding "how to decide WHAT training approach fits this situation."
Effective decision skills include:
Skills live in .claude/skills/ as directories containing SKILL.md. The file has two parts:
YAML Frontmatter: Metadata for tool integration Markdown Body: The actual skill content
Here's the target structure for your LLMOps decision skill:
.claude/skills/
└── llmops-decision-framework/
└── SKILL.md
Let's construct this skill by extracting knowledge from each lesson.
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.