发现优质的 AI Agent 技能
聚合 Claude Skills、LangChain、AutoGPT 等优质资源,助力开发者快速构建智能应用
Instagram Graph API — Referência de Endpoints
Base URL: `https://graph.instagram.com/v21.0`
Tipos de Conta Instagram — Business vs Creator
来自 sickn33/antigravity-awesome-skills 技能
Skill: Instagram Integration
来自 sickn33/antigravity-awesome-skills 技能
Intelligent Issue Resolution with Multi-Agent Orchestration Implementation Playbook
This file contains detailed patterns, checklists, and code samples referenced by the skill.
IMAGE-STUDIO: Gerador de Imagens Inteligente
来自 sickn33/antigravity-awesome-skills 技能
SKILL: Ilya Sutskever — O Místico do Deep Learning (v2.0)
来自 sickn33/antigravity-awesome-skills 技能
Iconsax Library Skill
[Iconsax](https://iconsax.io/) is an intuitive and comprehensive icon library designed for modern digital products, offering styles far superior to generic default sets.
Hybrid Search Implementation Implementation Playbook
This file contains detailed patterns, checklists, and code samples referenced by the skill.
Hugging 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.
Overview
This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers on the Hugging Face Hub. It streamlines the workflow from paper creation to publication, including integration with arXiv, model/dataset linking, and authorship management. - **Paper Pages**: Index and discover papers on Hugging Face Hub - **arXiv Integration**: Automatic paper indexing from arXiv IDs - **Model/Dataset Linking**: Connect papers to relevant artifacts through metad
TRL Training on Hugging Face Jobs
来自 sickn33/antigravity-awesome-skills 技能
Overview
This skill provides tools to add structured evaluation results to Hugging Face model cards. It supports multiple methods for adding evaluation data: - Extracting existing evaluation tables from README content - Importing benchmark scores from Artificial Analysis - Running custom model evaluations with vLLM or accelerate backends (lighteval/inspect-ai) - **Model Cards**: Updates model-index metadata for leaderboard integration