搜索

PythonReactSEOPDF

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 10,225–10,248 个,共 13,033 个

devops llm ai 清除筛选

全部技能

GitHub

agentdb-vector-search

adebold

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledg...

GitHub

parallel-agents

seanpham99

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

GitHub

create-skill

lbussell

Guide for authoring agent skills. Use when creating new skills, writing SKILL.md files, or improving existing skills.

GitHub

prompt-engineering

lbussell

Techniques for writing effective LLM prompts. Use when crafting system prompts, optimizing agent instructions, or improving model outputs.

GitHub

plan

usorama

Generate execution plans from user queries through intake, research, specification, and validation. Use when user provides any query (vague to specific) and needs an executable plan for /execute skill.

GitHub

orchestrate-spec

usorama

Auto-detects next pending Smart Orchestrator component, spawns 2-3 research agents, generates evidence-backed specs, validates, and offers optional implementation with automatic progress tracking.

GitHub

langgraph-patterns

rozwer

Advanced LangGraph patterns for production applications. Use when implementing streaming (tokens, updates, custom data), parallel node execution, subgraphs for modular workflows, error handling and retries, or...

GitHub

langgraph-fundamentals

rozwer

Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing state with TypedDict/Pydantic, or understanding basic graph structure. Covers state...

GitHub

langgraph-multi-agent

rozwer

Multi-agent architectures with LangGraph. Use when building systems with multiple collaborating agents, implementing supervisor or swarm patterns, creating hierarchical agent workflows, or designing agent hando...

GitHub

langgraph-persistence

rozwer

Persistence and human-in-the-loop patterns for LangGraph. Use when implementing checkpointing, saving/restoring graph state, adding human approval workflows, managing conversation memory across sessions, enabli...

GitHub

providers

rozwer

Use when integrating multiple LLM providers. Keep provider-specific code isolated behind a small interface.

GitHub

work-type-classifier

adiomas

This skill should be used when the user initiates autonomous development with /auto, /auto-lite, or similar commands to classify the type of work. Semantic work type classification with multi-layer detection. A...

GitHub

initializer-protocol

adiomas

This skill defines the Initializer Agent protocol for the Two-Agent Pattern. The Initializer Agent runs ONCE at the start of a new task to analyze, plan, and set up state for Coding Agents. Use this when starti...

GitHub

curate

gaurangrshah

On-demand knowledge base curation - normalize tags, find duplicates, manage topics, promote memories

GitHub

scenario-generator

ricardoadorno

Generate automation scenarios from natural-language requests by drafting `scenarios//plan.json` plus supporting files (behaviors, curl, SQL mocks). Use when a user asks to create or update a scenario or wants a...

GitHub

cloudflare-mcp-development

2Rds

This skill should be used when the user asks to "create MCP server", "build MCP server on Workers", "deploy MCP server", "extend Claude with tools", or is developing Model Context Protocol servers on Cloudflare...

GitHub

cloudflare-agents-sdk

2Rds

This skill should be used when the user asks to "build an AI agent", "create a chatbot", "use Cloudflare Agents SDK", "stateful AI agent", "WebSocket agent", or is developing AI agents on Cloudflare infrastruct...

GitHub

report-writing

robin-collins

Generate structured task completion reports in two synchronized formats - a concise chat summary and a detailed documentation file. Use this skill when completing tasks that require formal documentation, audit...

GitHub

summary-generator

abdoulayesow

Generates session summaries and resume prompts for multi-session work. Use when completing features, before context limits (~50% capacity), or when user says "summary", "wrap up", "save progress", "end session"...

GitHub

ralph

davzucky

Set up Ralph for autonomous feature development. Use when starting a new feature that Ralph will implement. Triggers on: ralph, set up ralph, start ralph, new ralph feature, ralph setup. Chats through the featu...

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。

更多筛选

热度筛选

热门标签