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Agent Skills

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media-training-simulation

Media interview preparation and crisis simulation tools for executive readiness and spokesperson development

a5c-ai
a5c-ai
244

pr-analytics

PR measurement and reporting automation following Barcelona Principles with comprehensive analytics and visualization capabilities

a5c-ai
a5c-ai
244

press-release-distribution

Wire service integration and press release distribution management

a5c-ai
a5c-ai
244

reputation-intelligence

Reputation measurement and benchmarking platform integration

a5c-ai
a5c-ai
244

social-listening-pr

Social media monitoring and conversation analysis for PR intelligence

a5c-ai
a5c-ai
244

speaking-events

Speaking opportunity discovery and conference management

a5c-ai
a5c-ai
244

stakeholder-crm

Stakeholder relationship management and engagement tracking

a5c-ai
a5c-ai
244

6sense-intent

6sense intent data and anonymous buyer identification platform

a5c-ai
a5c-ai
244

anaplan-planning

Anaplan connected planning for territory and quota management

a5c-ai
a5c-ai
244

apollo-prospecting

Apollo.io prospecting and engagement data integration

a5c-ai
a5c-ai
244

calendly-scheduling

Calendly meeting scheduling integration for sales workflows

a5c-ai
a5c-ai
244

chorus-analytics

Chorus.ai conversation intelligence for meeting insights and analytics

a5c-ai
a5c-ai
244

test-case-generator

Generate comprehensive test cases including edge cases, stress tests, and counter-examples for algorithm correctness verification. Supports random generation, constraint-based generation, and brute force oracle comparison.

babysitter-sdk
babysitter-sdk
244

process-builder

Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.

a5c-ai
a5c-ai
244

babysit

Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)

a5c-ai
a5c-ai
244

autogen-setup

Microsoft AutoGen multi-agent configuration for conversational AI systems

a5c-ai
a5c-ai
244

chain-of-thought-prompts

Chain-of-thought and step-by-step reasoning prompts for complex problem solving

a5c-ai
a5c-ai
244

chroma-integration

Chroma local vector database setup and operations for development and production

a5c-ai
a5c-ai
244

constitutional-ai-prompts

Constitutional AI and safety guardrail prompts for aligned LLM behavior

a5c-ai
a5c-ai
244

content-moderation-api

Content moderation API integration using OpenAI Moderation, Perspective API, and others

a5c-ai
a5c-ai
244

crewai-setup

CrewAI multi-agent orchestration setup for collaborative AI systems

a5c-ai
a5c-ai
244

entity-memory-extraction

Entity and fact extraction for user profiling and personalization

a5c-ai
a5c-ai
244

few-shot-example-gen

Few-shot example generation and optimization for improved LLM performance

a5c-ai
a5c-ai
244

guardrails-ai-setup

Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.

a5c-ai
a5c-ai
244

haystack-pipeline

Haystack NLP pipeline configuration for document processing and QA

a5c-ai
a5c-ai
244

huggingface-classifier

Hugging Face transformer model fine-tuning and inference for intent classification

a5c-ai
a5c-ai
244

langchain-chains

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

a5c-ai
a5c-ai
244

langchain-memory

LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory

a5c-ai
a5c-ai
244

langchain-react-agent

LangChain ReAct agent implementation with tool binding for reasoning and action loops

a5c-ai
a5c-ai
244

langchain-retriever

LangChain retriever implementation with various retrieval strategies for RAG applications

a5c-ai
a5c-ai
244

langchain-tools

LangChain tool creation and integration utilities for agent systems

a5c-ai
a5c-ai
244

langfuse-integration

LangFuse LLM observability integration for tracing, analytics, and cost tracking

a5c-ai
a5c-ai
244

langgraph-checkpoint

LangGraph checkpoint and persistence configuration for stateful workflow management

a5c-ai
a5c-ai
244

langgraph-hitl

Human-in-the-loop integration for LangGraph workflows with approval and intervention points

a5c-ai
a5c-ai
244

langgraph-routing

Conditional edge routing and state-based transitions for LangGraph workflows

a5c-ai
a5c-ai
244

langgraph-state-graph

LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.

a5c-ai
a5c-ai
244

langgraph-subgraph

Subgraph composition and modular workflow design for LangGraph

a5c-ai
a5c-ai
244

langsmith-tracing

LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.

a5c-ai
a5c-ai
244

llamaindex-agent

LlamaIndex agent and query engine setup for RAG-powered agents

a5c-ai
a5c-ai
244

llm-classifier

LLM-based zero-shot and few-shot classification for flexible intent detection

a5c-ai
a5c-ai
244

mem0-integration

Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.

a5c-ai
a5c-ai
244

memory-summarization

Conversation summarization for memory compression and context management

a5c-ai
a5c-ai
244

milvus-integration

Milvus distributed vector database configuration for large-scale RAG applications

a5c-ai
a5c-ai
244

nemo-guardrails

NVIDIA NeMo Guardrails configuration for conversational safety and control

a5c-ai
a5c-ai
244

opentelemetry-llm

OpenTelemetry instrumentation for LLM applications with distributed tracing

a5c-ai
a5c-ai
244

phoenix-arize-setup

Arize Phoenix observability platform setup for LLM debugging and evaluation

a5c-ai
a5c-ai
244

pii-redaction

PII detection and redaction utilities for privacy-compliant conversational AI

a5c-ai
a5c-ai
244

pinecone-integration

Pinecone vector database setup, configuration, and operations for RAG applications

a5c-ai
a5c-ai
244

prompt-compression

Token-efficient prompt compression techniques for cost optimization

a5c-ai
a5c-ai
244

prompt-injection-detector

Prompt injection detection and prevention for secure LLM applications

a5c-ai
a5c-ai
244

Page 751 of 1486 · 74267 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.