Skill.md files: teach Claude once, not every chat.

• SKILL.md

---
name: hubspot-integration
description: Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs.
---

• SKILL.md

---
name: hugging-face-cli
description: Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.
---

• SKILL.md

---
name: hugging-face-community-evals
description: Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate.
---

• SKILL.md

---
name: hugging-face-datasets
description: Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
---

• SKILL.md

---
name: hugging-face-evaluation
description: Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
---

• SKILL.md

---
name: hugging-face-gradio
description: Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
---

• SKILL.md

---
name: hugging-face-jobs
description: Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.
---

• SKILL.md

---
name: hugging-face-model-trainer
description: Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment.
---

• SKILL.md

---
name: hugging-face-paper-publisher
description: Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
---

• SKILL.md

---
name: hugging-face-papers
description: Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page.
---

• SKILL.md

---
name: hugging-face-tool-builder
description: 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.
---

• SKILL.md

---
name: hugging-face-trackio
description: Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI).
---

• SKILL.md

---
name: hugging-face-vision-trainer
description: Train object detection, image classification, and SAM or SAM2 segmentation models locally or on Hugging Face Jobs, with dataset validation and results saved to the Hub.
---

• SKILL.md

---
name: huggingface-best
description: Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores.
---

• SKILL.md

---
name: huggingface-community-evals
description: Curated upstream guidance for Huggingface Community Evals; use when the workflow matches the user goal.
---

• SKILL.md

---
name: huggingface-local-models
description: Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
---

• SKILL.md

---
name: huggingface-spaces
description: Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants.
---

• SKILL.md

---
name: huggingface-tool-builder
description: 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.
---

• SKILL.md

---
name: huggingface-zerogpu
description: AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU.
---

• SKILL.md

---
name: hugo-to-markdown
description: Convert Hugo documentation sites and Hugo-managed content into standard Markdown.
---

• SKILL.md

---
name: humanize-chinese
description: Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Use when the user asks to 去AI味, 降AIGC, 去除AI痕迹, 论文降重, 知网检测, 维普检测, humanize chinese, detect AI text, or make Chinese text sound more natural.
---

• SKILL.md

---
name: hunt-brute-force
description: Hunt Missing/Weak Rate Limiting
---

• SKILL.md

---
name: hunt-business-logic
description: Hunting skill for business logic vulnerabilities.
---

• SKILL.md

---
name: hunt-captcha-bypass
description: Hunt CAPTCHA Bypass
---