llm-ai
2
langchain-docs
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
JokeJason
data-ai
结果数
53,183
符合搜索条件的技能
当前页
1832
共 2660 页
关键词
ai
按名称、标签或描述搜索
cloud
2
modal-deployment
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch jobs, scheduling tasks, serving APIs with GPU acceleration, or scaling compute-intensive workloads. Triggers on requests for serverless GPU infrastructure, LLM inference, model training/fine-tuning, parallel data processing, cron jobs in the cloud, or deploying Python web endpoints.
ferdousbhai
devops
productivity-tools
2
brainstorm
Specialized skill for brainstorming technical ideas, architectural patterns, and syntax choices. Use this skill when the user asks to brainstorm ideas, implementation details, logic etc.
vikramsg
tools
academic
2
study-notes-creator
Creates well-organized study notes from any content. Use when the user asks for study notes, learning summaries, revision materials, or wants to understand a topic for studying.
abdul-ahad-26
research
llm-ai
2
ai-native-development
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development. Includes local LLM inference with Ollama for 93% CI cost reduction.
yonatangross
data-ai
academic
2
neo4j-news
Query news articles from Neo4j with fulltext and vector search. Use when fetching news data or searching news content.
faisalanjum
research
productivity-tools
2
elizaos-expert-2026
Expert ElizaOS plugin and agent development (January 2026). Use when (1) Building ElizaOS plugins, (2) Creating AI agent characters, (3) Implementing actions, providers, evaluators, (4) Integrating with AgentRuntime, (5) Building platform clients (Discord, Telegram), (6) Testing plugins, or any ElizaOS architecture questions.
Ghostspeak
tools
productivity-toolsmarketplace
2
lookup-lc-doc
Search and retrieve LimaCharlie documentation from GitHub repositories. Use when users ask about LimaCharlie platform features, SDKs, APIs, D&R rules, LCQL, sensors, outputs, extensions, integrations, AI skills, agents, or any LimaCharlie-related topics.
refractionPOINT
tools
productivity-tools
2
subagent-coordination
Multi-agent coordination patterns for delegating work between specialized agents, managing agent roles, and orchestrating workflows across multiple AI agents.
pwarnock
tools
productivity-tools
2
claude-md-manager
Build and maintain effective CLAUDE.md files that improve Claude Code efficiency. Use when creating a new CLAUDE.md file, auditing/improving an existing one, setting up progressive disclosure with agent documentation, or optimizing context window usage for Claude Code projects.
buvis
tools
llm-ai
2
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
ricable
data-ai
system-admin
2
adk-production
This skill should be used when the user asks about "deploying", "production", "Agent Engine", "Vertex AI", "Cloud Run", "GKE", "Kubernetes", "hosting", "scaling", "guardrails", "safety", "content filtering", "input validation", "output validation", "authentication", "OAuth", "API keys", "credentials", "security plugins", "testing agents", "evaluation", "evals", "benchmarks", "tracing", "Cloud Trace", "logging", "observability", "AgentOps", "LangSmith", "user simulation", or needs guidance on deploying ADK agents to production environments, implementing safety measures, access control, secure authentication, testing, debugging, monitoring, or evaluating ADK agent quality.
MattMagg
tools
llm-ai
2
agentdb-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
bjpl
data-ai
productivity-tools
2
llm-code-docs
Centralized AI-readable documentation repository with 245+ frameworks and tools. Use to find documentation, add new sources, or update existing docs. Located at ~/github/llm-code-docs.
roboalchemist
tools
llm-ai
2
mlops-engineer
Senior MLOps Engineer with 8+ years ML systems experience. Use when integrating LLM APIs (Gemini, OpenAI, Groq), building AI pipelines, managing prompts, setting up model serving, implementing AI cost optimization, or building training data pipelines.
olehsvyrydov
data-ai
productivity-tools
2
openapi-toolkit-googleai-dart
Automates updating googleai_dart when Google AI OpenAPI spec changes. Fetches latest spec, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for API updates, (2) Generating implementation plans for spec changes, (3) Creating new models/endpoints from spec, (4) Syncing local spec with upstream. Triggers: "update api", "sync openapi", "new endpoints", "api changes", "check for updates", "update spec", "api version", "fetch spec", "compare spec", "what changed in the api", "implementation plan".
davidmigloz
tools
productivity-tools
2
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
abdul-ahad-26
tools
llm-ai
2
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
bjpl
data-ai
llm-ai
2
enhancing-talks
Enhance talk notes with Blinkist-style summaries and timestamps. Use when asked to "enhance talk", "improve talk notes", "add timestamps", "blinkist-style talk summary", or "make talk notes better". Adds Core Message, Key Insights with timestamps, Talk Structure, Notable Quotes, Who Should Watch, and Action Items via transcript analysis.
alexanderop
data-ai
llm-ai
2
prompt-engineer
Provides expert guidance for writing and optimizing prompts for large language models. Use this skill when: (1) user mentions "prompt", "prompting", or "prompt engineering", (2) user requests to write, create, improve, optimize, or review any prompt, (3) user is creating or updating AGENTS.md, CLAUDE.md, .claude/commands/*.md, or .claude/skills/*/SKILL.md files, (4) user is writing system prompts, custom instructions, or LLM agent configurations.
wpfleger96
data-ai