","site_use_cases":["Agent 平台对比","多智能体场景页","企业方案页"],"suggested_formats":["核心能力解读","接入教程","场景落地页"],"channel_plan":["wechat","x","xiaohongshu","topic_update"]}},{"id":2,"slug":"adhx-growth-skill-sickn33-antigravity-awesome-skills-skills-adhx-skill-md","label":"ADHX - X/Twitter Post Reader","repository_full_name":"sickn33/antigravity-awesome-skills","resource_kind":"skill","category":"growth","source_path":"skills/adhx/SKILL.md","repo_url":"https://github.com/sickn33/antigravity-awesome-skills","raw_url":"https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/adhx/SKILL.md","portal_url":"/github-library/adhx-growth-skill-sickn33-antigravity-awesome-skills-skills-adhx-skill-md/","summary":"Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.","excerpt":"name: adhx description: \"Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.\" risk: safe source: community date_added: \"2026-03-25\" Fetch any X/Twitter post as structured JSON for analysis using the ADHX API. Overview ADHX provides a free API that returns clean JSON for any X post, including full long-form article content. This is far superior to scraping or browser-based approaches for LLM consumption. Works with regular tweets and full X Articles.","promotion_angle":"拿来做增长动作库，生成公众号、X 和小红书推广文案。","default_branch":"main","stars":34792,"forks":5738,"open_issues":0,"pushed_at":"2026-04-24T08:28:59+08:00","last_synced_at":"2026-04-24T08:30:27.787969+08:00","sync_status":"synced","sync_error":"","is_featured":true,"is_favorite":false,"publish_queue_status":"backlog","publish_target":"article","queue_priority":0,"operator_notes":"","metadata":{"description":"Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.","language":"Python","topics":["agent-skills","agentic-skills","ai-agent-skills","ai-agents","ai-coding","ai-workflows","antigravity","antigravity-skills","claude-code","claude-code-skills","codex-cli","codex-skills","cursor","cursor-skills","developer-tools","gemini-cli","gemini-skills","kiro","mcp","skill-library"],"license":"MIT","homepage":"https://sickn33.github.io/antigravity-awesome-skills/","source_preview":"---\nname: adhx\ndescription: \"Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.\"\nrisk: safe\nsource: community\ndate_added: \"2026-03-25\"\n---\n\n# ADHX - X/Twitter Post Reader\n\nFetch any X/Twitter post as structured JSON for analysis using the ADHX API.\n\n## Overview\n\nADHX provides a free API that returns clean JSON for any X post, including full long-form article content. This is far superior to scraping or browser-based approaches for LLM consumption. Works with regular tweets and full X Articles.\n\n## When to Use This Skill\n\n- Use when a user shares an X/Twitter link and wants to read, analyze, or summarize the post\n- Use when you need structured data from an X/Twitter post (author, engagement, content)\n- Use when working with long-form X Articles that need full content extraction\n\n## API Endpoint\n\n```\nhttps://adhx.com/api/share/tweet/{username}/{statusId}\n```","site_use_cases":["增长动作库","公众号选题","站内自动化模板"],"suggested_formats":["Skill 卡片","内部 Agent 动作模板","执行清单"],"channel_plan":["wechat","x","xiaohongshu"]}},{"id":3,"slug":"fal-audio-skill-sickn33-antigravity-awesome-skills-skills-fal-audio-skill-md","label":"Fal Audio","repository_full_name":"sickn33/antigravity-awesome-skills","resource_kind":"skill","category":"media","source_path":"skills/fal-audio/SKILL.md","repo_url":"https://github.com/sickn33/antigravity-awesome-skills","raw_url":"https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/fal-audio/SKILL.md","portal_url":"/github-library/fal-audio-skill-sickn33-antigravity-awesome-skills-skills-fal-audio-skill-md/","summary":"Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.","excerpt":"name: fal-audio description: \"Text-to-speech and speech-to-text using fal.ai audio models\" risk: safe source: \"https://github.com/fal-ai-community/skills/blob/main/skills/claude.ai/fal-audio/SKILL.md\" date_added: \"2026-02-27\" Overview Text-to-speech and speech-to-text using fal.ai audio models When to Use This Skill Use this skill when you need to work with text-to-speech and speech-to-text using fal.ai audio models.","promotion_angle":"拿来扩展多媒体内容生产，补短视频和音频素材能力。","default_branch":"main","stars":34792,"forks":5738,"open_issues":0,"pushed_at":"2026-04-24T08:28:59+08:00","last_synced_at":"2026-04-24T08:30:27.787969+08:00","sync_status":"synced","sync_error":"","is_featured":true,"is_favorite":false,"publish_queue_status":"backlog","publish_target":"article","queue_priority":0,"operator_notes":"","metadata":{"description":"Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.","language":"Python","topics":["agent-skills","agentic-skills","ai-agent-skills","ai-agents","ai-coding","ai-workflows","antigravity","antigravity-skills","claude-code","claude-code-skills","codex-cli","codex-skills","cursor","cursor-skills","developer-tools","gemini-cli","gemini-skills","kiro","mcp","skill-library"],"license":"MIT","homepage":"https://sickn33.github.io/antigravity-awesome-skills/","source_preview":"---\nname: fal-audio\ndescription: \"Text-to-speech and speech-to-text using fal.ai audio models\"\nrisk: safe\nsource: \"https://github.com/fal-ai-community/skills/blob/main/skills/claude.ai/fal-audio/SKILL.md\"\ndate_added: \"2026-02-27\"\n---\n\n# Fal Audio\n\n## Overview\n\nText-to-speech and speech-to-text using fal.ai audio models\n\n## When to Use This Skill\n\nUse this skill when you need to work with text-to-speech and speech-to-text using fal.ai audio models.\n\n## Instructions\n\nThis skill provides guidance and patterns for text-to-speech and speech-to-text using fal.ai audio models.\n\nFor more information, see the [source repository](https://github.com/fal-ai-community/skills/blob/main/skills/claude.ai/fal-audio/SKILL.md).\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.","site_use_cases":["多媒体选题","音频生成流程","短视频素材流"],"suggested_formats":["Skill 卡片","内部 Agent 动作模板","执行清单"],"channel_plan":["xiaohongshu","wechat"]}},{"id":1,"slug":"skill-check-sickn33-antigravity-awesome-skills-skills-skill-check-skill-md","label":"Skill Check","repository_full_name":"sickn33/antigravity-awesome-skills","resource_kind":"skill","category":"quality","source_path":"skills/skill-check/SKILL.md","repo_url":"https://github.com/sickn33/antigravity-awesome-skills","raw_url":"https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/skill-check/SKILL.md","portal_url":"/github-library/skill-check-sickn33-antigravity-awesome-skills-skills-skill-check-skill-md/","summary":"Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.","excerpt":"name: skill-check description: \"Validate Claude Code skills against the agentskills specification. Catches structural, semantic, and naming issues before users do.\" category: development risk: safe source: https://github.com/olgasafonova/SkillCheck-Free date_added: \"2026-03-11\" author: olgasafonova tags: [validation, linter, agentskills, skill-authoring, code-quality] tools: [claude, cursor, windsurf, codex-cli] license: MIT","promotion_angle":"拿来做站内工作流校验，减少自动发布和推广脚本失控。","default_branch":"main","stars":34792,"forks":5738,"open_issues":0,"pushed_at":"2026-04-24T08:28:59+08:00","last_synced_at":"2026-04-24T08:30:27.787969+08:00","sync_status":"synced","sync_error":"","is_featured":true,"is_favorite":false,"publish_queue_status":"backlog","publish_target":"article","queue_priority":0,"operator_notes":"","metadata":{"description":"Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.","language":"Python","topics":["agent-skills","agentic-skills","ai-agent-skills","ai-agents","ai-coding","ai-workflows","antigravity","antigravity-skills","claude-code","claude-code-skills","codex-cli","codex-skills","cursor","cursor-skills","developer-tools","gemini-cli","gemini-skills","kiro","mcp","skill-library"],"license":"MIT","homepage":"https://sickn33.github.io/antigravity-awesome-skills/","source_preview":"---\nname: skill-check\ndescription: \"Validate Claude Code skills against the agentskills specification. Catches structural, semantic, and naming issues before users do.\"\ncategory: development\nrisk: safe\nsource: https://github.com/olgasafonova/SkillCheck-Free\ndate_added: \"2026-03-11\"\nauthor: olgasafonova\ntags: [validation, linter, agentskills, skill-authoring, code-quality]\ntools: [claude, cursor, windsurf, codex-cli]\nlicense: MIT\nallowed-tools: Read Glob\ncompatibility: claude-code\n---\n\n# SkillCheck\n\n## Overview\n\nValidate SKILL.md files against the [agentskills specification](https://agentskills.io) and Anthropic best practices. Catches structural errors, semantic contradictions, naming anti-patterns, and quality gaps in a single read-only pass.\n\n## When to Use This Skill\n\n- Use when user says \"check skill\", \"skillcheck\", or \"validate SKILL.md\"\n- Use when reviewing a skill before publishing to a marketplace\n- Use when debugging why a skill doesn't trigger correctly\n- Use when onboarding a team to skill authoring standards\n- Do NOT use for anti-slop detection, security scanning, or token analysis; use [SkillCheck Pro](https://getskillcheck.com) for those","site_use_cases":["发布校验模板","编辑审核清单","站点质量巡检"],"suggested_formats":["Skill 卡片","内部 Agent 动作模板","执行清单"],"channel_plan":["wechat","topic_update"]}},{"id":5,"slug":"awesome-copilot-github-awesome-copilot-readme-md","label":"🤖 Awesome GitHub Copilot","repository_full_name":"github/awesome-copilot","resource_kind":"playbook","category":"developer-growth","source_path":"README.md","repo_url":"https://github.com/github/awesome-copilot","raw_url":"https://raw.githubusercontent.com/github/awesome-copilot/main/README.md","portal_url":"/github-library/awesome-copilot-github-awesome-copilot-readme-md/","summary":"[](https://aka.ms/awesome-github-copilot) [](#contributors-)","excerpt":"[](https://aka.ms/awesome-github-copilot) [](#contributors-) A community-created collection of custom agents, instructions, skills, hooks, workflows, and plugins to supercharge your GitHub Copilot experience. [!TIP] Explore the full collection on the website →** awesome-copilot.github.com The website offers full-text search and filtering across hundreds of resources, plus the Tools section for MCP servers and developer tooling, and the Learning Hub for guides and tutorials.","promotion_angle":"拿来做开发者向专题和工具清单，提升搜索入口覆盖。","default_branch":"main","stars":31004,"forks":3726,"open_issues":88,"pushed_at":"2026-04-24T07:53:13+08:00","last_synced_at":"2026-04-24T08:30:27.787969+08:00","sync_status":"synced","sync_error":"","is_featured":true,"is_favorite":false,"publish_queue_status":"backlog","publish_target":"article","queue_priority":0,"operator_notes":"","metadata":{"description":"Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.","language":"Python","topics":["agent-skills","agents","ai","awesome","custom-agents","github-copilot","hacktoberfest","prompt-engineering"],"license":"MIT","homepage":"https://awesome-copilot.github.com/","source_preview":"# 🤖 Awesome GitHub Copilot\n[](https://aka.ms/awesome-github-copilot) [\n>\n> The website offers full-text search and filtering across hundreds of resources, plus the [Tools](https://awesome-copilot.github.com/tools) section for MCP servers and developer tooling, and the [Learning Hub](https://awesome-copilot.githu\n>\n> **Using this collection in an AI agent?** A machine-readable [`llms.txt`](https://awesome-copilot.github.com/llms.txt) is available with structured listings of all agents, instructions, and skills.\n\n## 📖 Learning Hub\n\nNew to GitHub Copilot customization? The **[Learning Hub](https://awesome-copilot.github.com/learning-hub)** on the website offers curated articles, walkthroughs, and reference material — covering everything from core concepts like agents, \n\n## What's in this repo\n\n| Resource | Description | Browse |\n|----------|-------------|--------|\n| 🤖 [Agents](docs/README.agents.md) | Specialized Copilot agents that integrate with MCP servers | [All agents →](https://awesome-copilot.github.com/agents) |\n| 📋 [Instructions](docs/README.instructions.md) | Coding standards applied automatically by file pattern | [All instructions →](https://awesome-copilot.github.com/instructions) |\n| 🎯 [Skills](docs/README.skills.md) | Self-contained folders with instructions and bundled assets | [All skills →](https://awesome-copilot.github.com/skills) |\n| 🔌 [Plugins](docs/README.plugins.md) | Curated bundles of agents and skills for specific workflows | [All plugins →](https://awesome-copilot.github.com/plugins) |","site_use_cases":["开发者专题页","Copilot 场景页","工具合集页"],"suggested_formats":["专题聚合页","方法论教程","对比清单"],"channel_plan":["wechat","x","topic_update"]}},{"id":12,"slug":"awesome-ai-agents-e2b-dev-awesome-ai-agents-readme-md","label":"Awesome AI Agents","repository_full_name":"e2b-dev/awesome-ai-agents","resource_kind":"playbook","category":"agent-examples","source_path":"README.md","repo_url":"https://github.com/e2b-dev/awesome-ai-agents","raw_url":"https://raw.githubusercontent.com/e2b-dev/awesome-ai-agents/main/README.md","portal_url":"/github-library/awesome-ai-agents-e2b-dev-awesome-ai-agents-readme-md/","summary":"A list of AI autonomous agents","excerpt":"\n\n\n\t🔮 Awesome AI Agents\n\t
\n\t\t","site_use_cases":["AI Agent 案例库","场景拆解页","项目推荐合集"],"suggested_formats":["专题聚合页","方法论教程","对比清单"],"channel_plan":["wechat","x","xiaohongshu"]}},{"id":10,"slug":"openai-agents-sdk-openai-openai-agents-python-readme-md","label":"OpenAI Agents SDK [](https://pypi.org/project/openai-agents/)","repository_full_name":"openai/openai-agents-python","resource_kind":"framework","category":"agent-sdk","source_path":"README.md","repo_url":"https://github.com/openai/openai-agents-python","raw_url":"https://raw.githubusercontent.com/openai/openai-agents-python/main/README.md","portal_url":"/github-library/openai-agents-sdk-openai-openai-agents-python-readme-md/","summary":"The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.","excerpt":"The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs. [!NOTE] Looking for the JavaScript/TypeScript version? Check out Agents SDK JS/TS. Core concepts: Agents**: LLMs configured with instructions, tools, guardrails, and handoffs Sandbox Agents**: Agents preconfigured to work with a container to perform work over long time horizons.","promotion_angle":"拿来做对比页、上手教程和案例专题，直接服务推广获客。","default_branch":"main","stars":24851,"forks":3797,"open_issues":68,"pushed_at":"2026-04-24T07:06:24+08:00","last_synced_at":"2026-04-24T08:30:27.787969+08:00","sync_status":"synced","sync_error":"","is_featured":true,"is_favorite":false,"publish_queue_status":"backlog","publish_target":"article","queue_priority":0,"operator_notes":"","metadata":{"description":"A lightweight, powerful framework for multi-agent workflows","language":"Python","topics":["agents","ai","framework","llm","openai","python"],"license":"MIT","homepage":"https://openai.github.io/openai-agents-python/","source_preview":"# OpenAI Agents SDK [](https://pypi.org/project/openai-agents/)\n\nThe OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.\n\n![\"Image](\"https://cdn.openai.com/API/docs/images/orchestration.png\")
\n\n> [!NOTE]\n> Looking for the JavaScript/TypeScript version? Check out [Agents SDK JS/TS](https://github.com/openai/openai-agents-js).\n\n### Core concepts:\n\n1. [**Agents**](https://openai.github.io/openai-agents-python/agents): LLMs configured with instructions, tools, guardrails, and handoffs\n1. [**Sandbox Agents**](https://openai.github.io/openai-agents-python/sandbox_agents): Agents preconfigured to work with a container to perform work over long time horizons.\n1. **[Agents as tools](https://openai.github.io/openai-agents-python/tools/#agents-as-tools) / [Handoffs](https://openai.github.io/openai-agents-python/handoffs/)**: Delegating to other agents for specific tasks\n1. [**Tools**](https://openai.github.io/openai-agents-python/tools/): Various Tools let agents take actions (functions, MCP, hosted tools)\n1. [**Guardrails**](https://openai.github.io/openai-agents-python/guardrails/): Configurable safety checks for input and output validation\n1. [**Human in the loop**](https://openai.github.io/openai-agents-python/human_in_the_loop/): Built-in mechanisms for involving humans across agent runs\n1. [**Sessions**](https://openai.github.io/openai-agents-python/sessions/): Automatic conversation history management across agent runs\n1. [**Tracing**](https://openai.github.io/openai-agents-python/tracing/): Built-in tracking of agent runs, allowing you to view, debug and optimize your workflows\n1. [**Realtime Agents**](https://openai.github.io/openai-agents-python/realtime/quickstart/): Build powerful voice agents with `gpt-realtime-1.5` and full agent features\n\nExplore the [examples](https://github.com/openai/openai-agents-python/tree/main/examples) directory to see the SDK in action, and read our [documentation](https://openai.github.io/openai-agents-python/) for more details.","site_use_cases":["Agent SDK 入门","Python 实战页","开发者教程"],"suggested_formats":["核心能力解读","接入教程","场景落地页"],"channel_plan":["wechat","x","topic_update"]}},{"id":11,"slug":"mcp-python-sdk-modelcontextprotocol-python-sdk-readme-md","label":"MCP Python SDK","repository_full_name":"modelcontextprotocol/python-sdk","resource_kind":"framework","category":"mcp","source_path":"README.md","repo_url":"https://github.com/modelcontextprotocol/python-sdk","raw_url":"https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md","portal_url":"/github-library/mcp-python-sdk-modelcontextprotocol-python-sdk-readme-md/","summary":"Python implementation of the Model Context Protocol (MCP)","excerpt":"Python implementation of the Model Context Protocol (MCP) [![PyPI][pypi-badge]][pypi-url] [![MIT licensed][mit-badge]][mit-url] [![Python Version][python-badge]][python-url] [![Documentation][docs-badge]][docs-url] [![Protocol][protocol-badge]][protocol-url] [![Specification][spec-badge]][spec-url] [!NOTE] This README documents v1.x of the MCP Python SDK (the current stable release).** For v1.x code and documentation, see the v1.x branch.","promotion_angle":"拿来做对比页、上手教程和案例专题，直接服务推广获客。","default_branch":"main","stars":22748,"forks":3346,"open_issues":444,"pushed_at":"2026-04-23T16:32:07+08:00","last_synced_at":"2026-04-24T08:30:27.787969+08:00","sync_status":"synced","sync_error":"","is_featured":true,"is_favorite":false,"publish_queue_status":"backlog","publish_target":"article","queue_priority":0,"operator_notes":"","metadata":{"description":"The official Python SDK for Model Context Protocol servers and clients","language":"Python","topics":[],"license":"MIT","homepage":"https://modelcontextprotocol.github.io/python-sdk/","source_preview":"# MCP Python SDK\n\n\n\nPython implementation of the Model Context Protocol (MCP)\n\n[![PyPI][pypi-badge]][pypi-url]\n[![MIT licensed][mit-badge]][mit-url]\n[![Python Version][python-badge]][python-url]\n[![Documentation][docs-badge]][docs-url]\n[![Protocol][protocol-badge]][protocol-url]\n[![Specification][spec-badge]][spec-url]\n\n
\n\n\n\n> [!NOTE]\n> **This README documents v1.x of the MCP Python SDK (the current stable release).**\n>\n> For v1.x code and documentation, see the [`v1.x` branch](https://github.com/modelcontextprotocol/python-sdk/tree/v1.x).\n> For the upcoming v2 documentation (pre-alpha, in development on `main`), see [`README.v2.md`](README.v2.md).\n\n\n## Table of Contents\n\n- [MCP Python SDK](#mcp-python-sdk)\n - [Overview](#overview)","site_use_cases":["MCP Server 目录","工具调用教程","插件接入页"],"suggested_formats":["核心能力解读","接入教程","场景落地页"],"channel_plan":["wechat","x","topic_update"]}},{"id":6,"slug":"ai-starter-kit-n8n-io-self-hosted-ai-starter-kit-readme-md","label":"Self-hosted AI starter kit","repository_full_name":"n8n-io/self-hosted-ai-starter-kit","resource_kind":"stack","category":"automation-stack","source_path":"README.md","repo_url":"https://github.com/n8n-io/self-hosted-ai-starter-kit","raw_url":"https://raw.githubusercontent.com/n8n-io/self-hosted-ai-starter-kit/main/README.md","portal_url":"/github-library/ai-starter-kit-n8n-io-self-hosted-ai-starter-kit-readme-md/","summary":"Self-hosted AI Starter Kit** is an open-source Docker Compose template designed to swiftly initialize a comprehensive local AI and low-code development environment.","excerpt":"Self-hosted AI Starter Kit** is an open-source Docker Compose template designed to swiftly initialize a comprehensive local AI and low-code development environment. Curated by , it combines the self-hosted n8n platform with a curated list of compatible AI products and components to quickly get started with building self-hosted AI workflows. [!TIP] Read the announcement What’s included ✅ **Self-hosted n8n** - Low-code platform with over 400","promotion_angle":"拿来拆成教程和部署专题，吸引高意图自动化人群。","default_branch":"main","stars":14667,"forks":3701,"open_issues":6,"pushed_at":"2026-01-06T22:08:21+08:00","last_synced_at":"2026-04-24T08:30:27.787969+08:00","sync_status":"synced","sync_error":"","is_featured":true,"is_favorite":false,"publish_queue_status":"backlog","publish_target":"article","queue_priority":0,"operator_notes":"","metadata":{"description":"The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.","language":"","topics":["ai","ai-agents","low-code","self-hosted","starter-kit"],"license":"Apache-2.0","homepage":"https://n8n.io","source_preview":"# Self-hosted AI starter kit\n\n**Self-hosted AI Starter Kit** is an open-source Docker Compose template designed to swiftly initialize a comprehensive local AI and low-code development environment.\n\n\n\nCurated by , it combines the self-hosted n8n\nplatform with a curated list of compatible AI products and components to\nquickly get started with building self-hosted AI workflows.\n\n> [!TIP]\n> [Read the announcement](https://blog.n8n.io/self-hosted-ai/)\n\n### What’s included\n\n✅ [**Self-hosted n8n**](https://n8n.io/) - Low-code platform with over 400\nintegrations and advanced AI components\n\n✅ [**Ollama**](https://ollama.com/) - Cross-platform LLM platform to install\nand run the latest local LLMs\n\n✅ [**Qdrant**](https://qdrant.tech/) - Open-source, high performance vector\nstore with an comprehensive API\n\n✅ [**PostgreSQL**](https://www.postgresql.org/) - Workhorse of the Data\nEngineering world, handles large amounts of data safely.\n\n### What you can build","site_use_cases":["自动化部署指南","工作流专题","自建 AI 栈方案"],"suggested_formats":["部署教程","工作流实战","自建方案"],"channel_plan":["wechat","x","topic_update"]}}],"snapshot":{"sync_enabled":true,"autopilot_sync_enabled":true,"configured_source_count":14,"item_count":14,"synced_count":14,"failed_count":0,"skill_count":3,"latest_sync_at":"2026-04-24T00:30:27.787969Z","summary":"最近一次 GitHub 同步在 2026-04-24 08:30，资源库可以继续反哺教程、专题页和自推广文案。","top_categories":["workflow","llm-apps","mcp","llm-building","crawling","multi-agent"],"actions":["把同步到的 skill 变成站内 Agent 工作流和内部操作模板。","把热门仓库拆成专题页、教程页和对比页，持续补自然流量入口。","围绕高星仓库生成社媒文案和落地页更新，形成站内外联动推广。"],"featured_labels":["Dify","🌟 Awesome LLM Apps","Awesome MCP Servers"]}}
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