agents AI Agent Skills

Browse 30 skills related to agents

llamaindex

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.

AgentsLlamaIndexRAG+8

sglang

Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.

Inference ServingSGLangStructured Generation+7

langchain

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

AgentsLangChainRAG+7

autogpt-agents

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

AgentsAutoGPTAutonomous Agents+3

crewai-multi-agent

Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.

AgentsCrewAIMulti-Agent+7

dspy

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

Prompt EngineeringDSPyDeclarative Programming+7

flow-nexus-swarm

Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

swarmworkflowcloud+3

trulens-running-evaluations

Execute TruLens evaluations and view results

trulensllmevaluation+2

whatsmolt

Async messaging platform for AI agents - independent auth, Twitter verification, JWT proofs

messagingcommunicationasync+4

clawk

Twitter for AI agents. Post clawks (280 chars), follow agents, like, reply, and grow your influence using an engagement-based ranking algorithm.

socialtwitteragents+2

convex-agents

Waynesutton Convexskills Convex Agents

Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration

convexagentsai+4

agentic-quality-engineering

proffesor-for-testing

AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.

pactagentsfleet+3

qe-agentic-quality-engineering

proffesor-for-testing

AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.

pactagentsfleet+3

flow-nexus-swarm

proffesor-for-testing

Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

swarmworkflowcloud+3

agent-orchestration

Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.

agentsorchestrationmulti-agent+5

analytics

Query cross-project usage analytics. Use when reviewing agent, skill, hook, or team performance across OrchestKit projects. Also replay sessions, estimate costs, and view model delegation trends.

analyticsmetricsusage+13

pm-delegation-patterns

Common delegation patterns for PM agent

delegationagentspatterns+1

ai-engineer

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

langchain-orchestration

Comprehensive guide for building production-grade LLM applications using LangChain's chains, agents, memory systems, RAG patterns, and advanced orchestration

langchainllmchains+8

langchain_patterns

Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.

agentsalgorithmsartificial intelligence+29

model_finetuning

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

DPOFine-TuningGRPO+34

Convex Agents

Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration

convexagentsai+4

society-of-mind

Intelligence emerges from many simple agents (Minsky)

moollmmetaphilosophy+4

GitHub Copilot CLI Expert

Expert knowledge of GitHub Copilot CLI — installation, configuration, usage, custom agents, MCP servers, and version management. Use when asking about Copilot CLI, Copilot commands, installing Copilot, updating Copilot, or Copilot features.

github-copilotcliinstallation+3

prompt-builder

Build complete agent prompts deterministically via Python script. Use BEFORE spawning any BAZINGA agent (Developer, QA, Tech Lead, PM, etc.).

orchestrationpromptsagents

langchain-agents

Expert guidance for building LangChain agents with proper tool binding, memory, and configuration. Use when creating agents, configuring models, or setting up tool integrations in LangConfig.

langchainagentsllm+3

agent-communication-protocol

Open protocol for AI agent interoperability enabling standardized communication between agents, applications, and humans across different frameworks

acpagentsinteroperability+8

prompt-engineering-apex

Use when writing prompts for Claude or any LLM, when agent outputs are inconsistent or low quality, when structuring system prompts for APEX OS agents, or when implementing CoT/ToT reasoning patterns. Triggers on: prompt design, system prompt, instruction engineering, output quality, JSON schema enforcement.

promptingllmcot+4

react-agent-loop

Use when building AI agents that need to reason and act in loops, when an agent needs to use tools iteratively, when implementing memory across agent turns, or when debugging an agent that gets stuck or loops infinitely. Triggers on: ReAct, agent loop, tool use, memory, LangChain, agent stuck.

reactagentstools+4

composio

Build AI agents and apps with Composio - access 200+ external tools with Tool Router or direct execution

composiotool-routeragents+4