zerogpu/zerogpu-router/classify-structured

Claude Code and agent skill by zerogpu/zerogpu-router

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Checking that the SKILL.md file is still in the repository.

Multi-axis classification using a JSON schema mapping categories to allowed labels (gliner2.5-base-v1). Use when the user wants to classify text along several dimensions at once, e.g. "classify by sentiment and topic" with explicit label sets per axis.

Install

npx vskill@latest install zerogpu/zerogpu-router/classify-structured

SKILL.md

Run schema-driven classification. The request below holds the text and the schema — each axis with its allowed labels — given as -s '<json>' or in plain words.

Run this with the Bash tool, putting the schema in --metadata and pasting the text into the heredoc verbatim — no escaping, the quoted heredoc handles every shell metacharacter, newline, quote, and paren:

bash
zerogpu chat_completions -m gliner2.5-base-v1 --metadata '{"usecase":"classification","schema":{"sentiment":["positive","negative","neutral"],"topic":["support","billing","product"]}}' <<'ZGPU_END_OF_INPUT'
<the source text, verbatim>
ZGPU_END_OF_INPUT
  • "usecase":"classification" is required exactly as written; the API rejects the request without it.
  • schema maps each axis to its allowed labels. If the request gives axes without labels, pick sensible label sets and say which you used.
  • --metadata is single-quoted JSON, so write any ' inside a label as '\''.

Output is a JSON object whose classification holds one chosen label per axis.

Savings note: only if the command output literally contains a line starting with 💰 ZeroGPU savings, append that exact line, unchanged, as the last line of your reply. If no such line is present, say nothing about savings and do not mention or suggest /zerogpu-router:cost-savings — this note is intentionally occasional, not shown every time.

Request: $ARGUMENTS

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Source

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