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devops llm ai AI 技能

发现 devops llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: devops llm ai

显示第 8,137–8,160 个,共 13,033 个

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GitHub

vlm-expert

CyangZhou

实现基于视觉的 AI 对话能力,支持分析图像、描述视觉内容并进行多模态交互。

GitHub

skill-factory

CyangZhou

Meta-skill for generating new standard skill modules. Context-aware: analyzes user requirements to select appropriate templates (Basic/Generator/Data) and automatically populates metadata (name, tags, descripti...

GitHub

strategic-thought-partner

NimbleBrainInc

Collaborative strategic thinking for founders, operators, and decision-makers. Use when someone needs help working through business strategy, product direction, positioning, prioritization, or major decisions....

GitHub

skill-author

NimbleBrainInc

Creates production-grade Claude Code skills from natural language descriptions. Use when building new skills, requested with "build me a skill that...", "create a skill for...", or "I need a skill to...". Gener...

GitHub

blog-editor

NimbleBrainInc

Brutal content editor that tears apart drafts for substance, readability, and voice alignment. Use when reviewing blog posts, articles, or marketing copy. Triggers include "review this draft", "edit my post", "...

GitHub

folk-crm

NimbleBrainInc

Connection skill for Folk CRM MCP server. Provides guidance on ID handling, tool selection, and error recovery for AI assistants interacting with Folk CRM.

GitHub

rag

liushuang393

検索増強生成(RAG)Skill。知識ベースへのドキュメント追加、意味検索、LLM 回答生成をサポート。 ドキュメント Q&A、社内知識検索、カスタム知識ベース構築に使用。

GitHub

chatbot

liushuang393

マルチターン対話管理 Skill。会話履歴管理、コンテキスト維持、Agent 連携、RAG 統合をサポート。 チャットボット構築、対話型アシスタント、カスタマーサポートボットに使用。

GitHub

daoagent

liushuang393

本質分析Agent - 問題の本質を見抜き、因果齿轮で構造化し、死穴(禁忌)を明らかにする

GitHub

deepagents

joneqian

LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human-in-the-loop, long-term memory, middleware, and CLI-based agent development.

GitHub

langgraph

joneqian

LangGraph Python framework for building stateful, multi-actor LLM applications. Use for agent workflows, persistence, durable execution, streaming, interrupts, time travel, memory, subgraphs, and production dep...

GitHub

process-faq

joneqian

Process and transform FAQ documents (xlsx, word, pdf, txt) into RAG-optimized format. Use when working with FAQ files, knowledge base documents, or when the user needs to analyze and restructure FAQ content for...

GitHub

langchain

joneqian

LangChain Python framework for building LLM applications. Use for chains, agents, memory, document loaders, text splitters, vector stores, retrievers, and LLM integrations like OpenAI, Anthropic, and Google.

GitHub

fal-ai-add

Sunwood-AI-OSS-Hub

fal.aiスキルに新しいモデルを追加するためのスキル

GitHub

fal-ai

Sunwood-AI-OSS-Hub

fal.ai APIを使って画像生成・画像編集・動画生成を行うワークスペーススキル

GitHub

ai-sdk-v6

jmagar

Guide for building AI-powered applications using the Vercel AI SDK v6. Use when developing with generateText, streamText, useChat, tool calling, agents, structured output generation, MCP integration, or any LLM...

GitHub

web-artifacts-builder

billlzzz18

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, rou...

GitHub

reflect

Porkbutts

Capture lessons from conversation after Claude made mistakes or needed correction. Trigger phrases include "reflect", "review our mistakes", "learn from this", "capture this lesson", "remember this for next tim...

GitHub

tui

garymjr

Create distinctive, production-grade terminal user interfaces (TUIs) using OpenTUI. Use this skill when the user asks to build CLI tools, terminal dashboards, interactive console applications, or any interface...

GitHub

memory-checkpoint

u9401066

Externalize detailed memory to Memory Bank before conversation summarization to prevent context loss. Triggers: CP, checkpoint, save, 存檔, 記一下, 保存, sync memory, dump, 先記著.

GitHub

request-dot-ai-feature

vfarcic

Generate a feature request prompt for another dot-ai project. Use when you need a feature implemented in a sibling project (MCP server, controller, etc.) to unblock work in the current project.

GitHub

req-to-executable-prompt

monkey1sai

將使用者的自然語言需求,轉換成「Codex 可直接執行」的工程指令 prompt。 輸出內容包含:背景、明確目標、可驗收條件、操作步驟、不可違反的限制、與交付格式。 適用於任何語言、任何 repo、任何專案階段。

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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