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AI & Agents
LLMs, agent workflows, RAG, MCP, prompting, and AI app patterns
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Showing 2,257–2,280 of 304,988 skills
- 2076 Parameters 22b2d883**Type:** string The message to speak to the user.Votes: 0GitHub stars: 9
- 191 Configuration E693c046This guide covers all configuration options for Esperanto, including environment variables, parameters, and best practices.Votes: 0GitHub stars: 9
- 1503 2026 01 21 Stream Hang Timeout 8c4bc78dRequests hang in the model request phase and eventually hit the global 120s timeout. History cleanup is no longer the blocker; the hang occurs before streaming opens and persists even after forcing a non-streaming fallback.Votes: 0GitHub stars: 9
- 140 Claude 8d6a8590This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. Browser-Use is an async python >= 3.11 library that implements AI browser driver abilities using LLMs + CDP (Chrome DevTools Protocol). The core architecture enables AI agents to autonomously navigate web pages, interact with elements, and complete complex tasks by processing HTML and making LLM-driven decisions.Votes: 0GitHub stars: 9
- 1319 Research Skill Bce271adResearch what people are saying about a topic across Reddit, X, Hacker News, and developer communities from the last 30 days.Votes: 0GitHub stars: 9
- 1298 006 Agents 84b8c53aWe use different branch prefixes depending on change type:Votes: 0GitHub stars: 9
- 1297 005 Agents 72fb7c4dUse: pr/<issue-id>-<kebab-summary> - <issue-id> must be lowercase (e.g., abc-123)Votes: 0GitHub stars: 9
- 1178 Name Skill F6e10a4bProvides Amazon Bedrock patterns using AWS SDK for Java 2.x. Use when working with foundation models (listing, invoking), text generation, image generation, embeddings, streaming responses, or integrating generative AI with Spring Boot applications.Votes: 0GitHub stars: 9
- 1178 Name Skill Ab5b7b1a智能简历助手,通过五个AI代理提供全流程求职支持:(1)故事挖掘-发现经历亮点;(2)职位推荐-匹配合适岗位;(3)简历优化-针对JD定制内容;(4)模拟面试-实战演练与反馈;(5)能力提升-差距分析与计划。适用于简历创建、优化、面试准备、职业规划等求职相关任务。Votes: 0GitHub stars: 9
- 1178 Name Skill 42a555ebStep-by-step guide for building goal-driven agents. Creates package structure, defines goals, adds nodes, connects edges, and finalizes agent class. Use when actively building an agent.Votes: 0GitHub stars: 9
- 055 Architecture B5fa8504This document describes the architecture and design decisions behind the skills-lister MCP server.Votes: 0GitHub stars: 9
- 028 Agents E30dbfa7Meeseeks is a multi-agent LLM personal assistant that decomposes user requests into atomic actions, runs them through tools, and returns a synthesized response. It ships multiple interfaces (CLI, chat UI, REST API, Home Assistant) that share the same core engine.Votes: 0GitHub stars: 9
- 028 Agents Cb60c520> This file provides project context for AI coding assistants (Claude Code, GitHub Copilot, Cursor, Codeium, etc.) to better understand and work with this project. > > **Maintainer Note**: Keep this file updated when project structure changes.Votes: 0GitHub stars: 9
- 028 Agents 9da78b25Meeseeks is a multi-agent LLM personal assistant that decomposes user requests into atomic actions, runs them through tools, and returns a synthesized response. It ships multiple interfaces (CLI, chat UI, REST API, Home Assistant) that share the same core engine.Votes: 0GitHub stars: 9
- 028 Agents 88c5e00dMeeseeks is a multi-agent LLM personal assistant that decomposes user requests into atomic actions, runs them through tools, and returns a synthesized response. It ships multiple interfaces (CLI, chat UI, REST API, Home Assistant) that share the same core engine.Votes: 0GitHub stars: 9
- 028 Agents 7ee98168Meeseeks is a multi-agent LLM personal assistant that decomposes user requests into atomic actions, runs them through tools, and returns a synthesized response. It ships multiple interfaces (CLI, chat UI, REST API, Home Assistant) that share the same core engine.Votes: 0GitHub stars: 9
- 028 Agents 222bd101Meeseeks is a multi-agent LLM personal assistant that decomposes user requests into atomic actions, runs them through tools, and returns a synthesized response. It ships multiple interfaces (CLI, chat UI, REST API, Home Assistant) that share the same core engine.Votes: 0GitHub stars: 9
- 514 Langchain4j Ai Development Expert C0fc9640Expert LangChain4j developer for building AI applications, RAG systems, ChatBots, and MCP servers. Specializes in AI services, vector stores, embeddings, and model integration patterns. Use PROACTIVELY for AI development tasks, RAG implementation, or intelligent agent creation.Votes: 0GitHub stars: 9
- 446 Hooks Frontmatter Schema 829661a6> **Version**: 4.0.0 > **Last Updated**: 2026-01-24 This document defines the hooks frontmatter schema for sf-skills SKILL.md files. Starting with v4.0.0, hooks are defined directly in each skill's SKILL.md frontmatter instead of separate `hooks/hooks.json` files. ---Votes: 0GitHub stars: 9
- 214 Control Set Ext 16 Agentic 31538521**Domain**: AGENT - Agent系统与类Agent组件安全 **Version**: 1.0 **Last Updated**: 2026-01-03 **Reference**: OWASP Top 10 for Agentic Applications 2026 (ASI01-ASI10) ---Votes: 0GitHub stars: 9
- 1026 Storage 00f11502OpenViking 采用双层存储架构，分离内容存储和索引存储。Votes: 0GitHub stars: 9
- 919 Retrieval Optimization Caca467d---Votes: 0GitHub stars: 9
- 367 Feature Matrix 4439bd68Complete feature support across all platforms and skill modes.Votes: 0GitHub stars: 9
- 332 Embedding Models A840774b---Votes: 0GitHub stars: 9