菜单
Initialize HuggingFace integration - validates .env variables, tests API connectivity, and ensures the dataset repository structure exists. Use when onboarding a new project to HuggingFace or when credentials change.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
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基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/richfrem/agent-plugins-skills --skill hf-init命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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Scaffolds a new top-level agent plugin directory. NOT for scaffolding single skills (use `create-skill`) and NOT for adding MCP integrations to existing plugins (use `create-mcp-integration`).
This skill should be used when the user wants to "create a marketplace", "setup a marketplace catalog", "scaffold marketplace.json", "initialize a plugin registry", or "configure a Gemini CLI extension". Use this even if they just mention "setting up a marketplace".
Cooperative Multi-Agent Coordination Loop. Spawns a lightweight companion sub-agent (Gemini 3.5 Flash Low) to perform spec discovery, planning, and implementation. The primary agent (Claude) acts as the QA Director, answering Gemini's questions, approving the spec/plan, and running verification tests. Assumes the superpowers plugin is installed in the target repository.
| name | hf-init |
| plugin | huggingface-utils |
| description | Initialize HuggingFace integration - validates .env variables, tests API connectivity, and ensures the dataset repository structure exists. Use when onboarding a new project to HuggingFace or when credentials change. |
| allowed-tools | Bash, Read |
This skill requires Python 3.8+ and standard library only. No external packages needed.
To install this skill's dependencies:
pip-compile ./requirements.in
pip install -r ./requirements.txt
See ./requirements.txt for the dependency lockfile (currently empty — standard library only).
Status: Active Author: Richard Fremmerlid Domain: HuggingFace Integration
Sets up everything needed for HuggingFace persistence. Run this once when onboarding a new project, or whenever credentials change.
.env variables are setlineage/, data/, metadata/)| Variable | Required | Description |
|---|---|---|
HUGGING_FACE_USERNAME | ✅ Yes | Your HF username |
HUGGING_FACE_TOKEN | ✅ Yes | API token (set in ~/.zshrc, NOT .env) |
HUGGING_FACE_REPO | ✅ Yes | Model repo name |
HUGGING_FACE_DATASET_PATH | ✅ Yes | Dataset repo name |
HUGGING_FACE_TAGS | ❌ No | Comma-separated discovery tags for dataset card |
HUGGING_FACE_PROJECT_NAME | ❌ No | Pretty name for dataset card heading |
SOUL_VALENCE_THRESHOLD | ❌ No | Moral/emotional charge filter (default: -0.7) |
python ./hf_config.py
python ./hf_init.py
python ./hf_init.py --validate-only
# Token goes in shell profile (never committed):
export HUGGING_FACE_TOKEN=hf_xxxxxxxxxxxxx
# Project vars go in .env:
HUGGING_FACE_USERNAME=<your-username>
HUGGING_FACE_REPO=<your-model-repo>
HUGGING_FACE_DATASET_PATH=<your-dataset-repo>
# Optional customization:
HUGGING_FACE_TAGS=reasoning-traces,cognitive-continuity,your-project-tag
HUGGING_FACE_PROJECT_NAME=My Project Soul
# Run init
python ./hf_init.py