Individual skill

caveman-discover

Find and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket. Use for "discover workflows" or breaking LLM spend down by workflow.

skills/caveman-discover/SKILL.md

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What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: Yes
Repository scan complete: No
Skill scan complete: No
Observed behavior: Instructions only
Last checked: Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

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Repository context

Repository stars (not skill ratings): 118,434
Repository last updated: Nov 9, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai Repository topic
anthropic Repository topic
caveman Repository topic
claude Repository topic
claude-code Repository topic
llm Repository topic
meme Repository topic
prompt-engineering Repository topic
skill Repository topic
tokens Repository topic
operations Derived category

Files and excerpt

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SKILL.mdcore · 5,276 bytes

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You are labeling this repository's LLM workflows for Caveman Cloud. A
*workflow* is a job the code performs — "answer a support ticket", "build the
nightly digest", "run the eval suite" — not a technology. Every gateway
request can carry a workflow label; unlabeled traffic all lands in one
`unlabeled-workflow` bucket. Your job: find the workflows, name them well,
wire the labels, and verify nothing broke.

This changes code, so it goes through the user's normal review: **propose the
table first, apply after the user agrees.** Re-running on an already-labeled
repo must change nothing (idempotent).

This skill is operator-invoked. An `unlabeled-traffic` Cave Plan observation is
review-only and does not create an advisory file, proposal, or Draft PR. Do not
infer that telemetry selected a callsite or authorized an edit. Independently