huggingface-tool-builder
SkillUse this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process da
Install
git clone https://github.com/huggingface/skills.git ~/.claude/skills/huggingface-tool-builderWhat is huggingface-tool-builder?
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~76 tokens of context used while enabled, before you invoke anything
Documentation
README · ~3 min readHugging Face API Tool Builder
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the hf command line tool. Model and Dataset cards can be accessed from repositories directly.
Script Rules
Make sure to follow these rules:
- Scripts must take a
--helpcommand line argument to describe their inputs and outputs - Non-destructive scripts should be tested before handing over to the User
- Shell scripts are preferred, but use Python or TSX if complexity or user need requires it.
- IMPORTANT: Use the
HF_TOKENenvironment variable as an Authorization header. For example:curl -H "Authorization: Bearer ${HF_TOKEN}" https://huggingface.co/api/. This provides higher rate limits and appropriate authorization for data access. - Investigate the shape of the API results before commiting to a final design; make use of piping and chaining where composability would be an advantage - prefer simple solutions where possible.
- Share usage examples once complete.
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