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/duclm1x1/Dive-Ai --skill agnxi-search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。
基于 SOC 职业分类
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
正在显示 SKILL.md
| name | agnxi-search |
| description | The official search utility for Agnxi.com - The premier directory of AI Agent Tools, MCP Servers, and Skills. |
| author | Agnxi |
| version | 1.1.0 |
| tags | ["search","tools","mcp","skills","directory","discovery"] |
This skill provides direct access to the Agnxi.com database, allowing agents to autonomously discover and retrieve information about thousands of curated tools, MCP servers, and coding capabilities.
search_agnxiPerforms a keyword search against the Agnxi sitemap index to find relevant resources.
Parameters:
query (string, required): The search keywords (e.g., "browser use", "postgres mcp", "text to speech").Usage Implementation:
Note: This tool runs a local Python script to query the live sitemap, ensuring up-to-date results without API keys.
python3 search.py "{{query}}"
browser or github skills to fetch specific documentation if needed.