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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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geometry-algorithm-library

Implement computational geometry algorithms

a5c-ai
a5c-ai
1,52087

geometry-primitive-library

Provide robust computational geometry primitives

a5c-ai
a5c-ai
1,52087

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

babysitter-sdk
babysitter-sdk
1,52087

graph-algorithm-selector

Select optimal graph algorithm based on problem constraints

a5c-ai
a5c-ai
1,52087

graph-modeler

Convert problem descriptions into graph representations

a5c-ai
a5c-ai
1,52087

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

babysitter-sdk
babysitter-sdk
1,52087

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
1,52087

haystack-pipeline

Haystack NLP pipeline configuration for document processing and QA

a5c-ai
a5c-ai
1,52087

hook-management

Session-scoped hook lifecycle management with enable/disable/status controls, execution profiling, and color-coded performance alerts.

a5c-ai
a5c-ai
1,52087

hotfix-triage

Urgent issue classification, root cause analysis, and fast-path routing for production hotfixes

a5c-ai
a5c-ai
1,52087

huggingface-classifier

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

a5c-ai
a5c-ai
1,52087

implementation-execution

Execute development tasks to build features, producing code, tests, and configuration artifacts that satisfy specification requirements and comply with constitution standards.

a5c-ai
a5c-ai
1,52087

interview-problem-bank

Curated bank of interview problems organized by company, pattern, and difficulty. Provides problem recommendations, coverage tracking, weak area identification, and premium problem alternatives for FAANG interview preparation.

babysitter-sdk
babysitter-sdk
1,52087

interview-simulator

Simulate realistic coding interview experience

a5c-ai
a5c-ai
1,52087

invariant-analyzer

Identify and verify loop invariants for correctness proofs

a5c-ai
a5c-ai
1,52087

issue-tracking

Track beads as git-backed issues with persistent attribution, supporting Gas Town's bead lifecycle and convoy progress monitoring.

a5c-ai
a5c-ai
1,52087

knowledge-curation

Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.

a5c-ai
a5c-ai
1,52087

knowledge-graph-management

Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph

a5c-ai
a5c-ai
1,52087

langchain-chains

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

a5c-ai
a5c-ai
1,52087

langchain-memory

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

a5c-ai
a5c-ai
1,52087

langchain-react-agent

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

a5c-ai
a5c-ai
1,52087

langchain-retriever

LangChain retriever implementation with various retrieval strategies for RAG applications

a5c-ai
a5c-ai
1,52087

langchain-tools

LangChain tool creation and integration utilities for agent systems

a5c-ai
a5c-ai
1,52087

langfuse-integration

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

a5c-ai
a5c-ai
1,52087

langgraph-checkpoint

LangGraph checkpoint and persistence configuration for stateful workflow management

a5c-ai
a5c-ai
1,52087

langgraph-hitl

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

a5c-ai
a5c-ai
1,52087

langgraph-routing

Conditional edge routing and state-based transitions for LangGraph workflows

a5c-ai
a5c-ai
1,52087

langgraph-state-graph

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

a5c-ai
a5c-ai
1,52087

langgraph-subgraph

Subgraph composition and modular workflow design for LangGraph

a5c-ai
a5c-ai
1,52087

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
1,52087

leetcode-problem-fetcher

Fetch and parse LeetCode problems with metadata, constraints, examples, hints, difficulty ratings, and related problems. Integrates with LeetCode API for comprehensive problem data retrieval.

babysitter-sdk
babysitter-sdk
1,52087

llamaindex-agent

LlamaIndex agent and query engine setup for RAG-powered agents

a5c-ai
a5c-ai
1,52087

llm-classifier

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

a5c-ai
a5c-ai
1,52087

maintenance-orchestration

Technical debt management including branch cleanup, doc verification, TODO scanning, and dependency auditing

a5c-ai
a5c-ai
1,52087

mcp-app-scaffolding

Scaffolds MCP App project structure with correct directory layout, dependencies, entry points, and framework-specific templates. Handles React (useApp hook), Vanilla JS, Vue, Svelte, Preact, and Solid.

a5c-ai
a5c-ai
1,52087

mcp-app-verification

Comprehensive verification checklists for MCP Apps. Tests with basic-host reference, validates handler-before-connect, text fallback, resource URI linking, single-file bundling, host styling, CSP, and legacy pattern detection.

a5c-ai
a5c-ai
1,52087

mcp-csp-investigation

Comprehensive Content Security Policy audit for MCP Apps in sandboxed iframes. Discovers all network origins, traces them to source, and generates CSP configuration for registerAppResource.

a5c-ai
a5c-ai
1,52087

mcp-host-styling-integration

Integrates MCP App UI with host theming system. Applies host CSS variables, handles onhostcontextchanged, safe area insets, display mode detection, and fullscreen configuration.

a5c-ai
a5c-ai
1,52087

mcp-tool-resource-pattern

Implements the core MCP Apps architectural pattern where a Tool declares _meta.ui.resourceUri referencing a registered Resource. Covers registerAppTool, registerAppResource, text fallback, structuredContent, and app-only helper tools.

a5c-ai
a5c-ai
1,52087

medical-agent

Build medical AI agents for clinical decision support, medical record summarization, diagnostic assistance, and healthcare workflow automation.

a5c-ai
a5c-ai
1,52087

mem0-integration

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

a5c-ai
a5c-ai
1,52087

memory-summarization

Conversation summarization for memory compression and context management

a5c-ai
a5c-ai
1,52087

merge-queue

Process the Refinery merge queue - collect agent work, detect and resolve conflicts, merge in dependency order, and verify integration.

a5c-ai
a5c-ai
1,52087

micro-optimizer

Apply language-specific micro-optimizations

a5c-ai
a5c-ai
1,52087

milvus-integration

Milvus distributed vector database configuration for large-scale RAG applications

a5c-ai
a5c-ai
1,52087

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

babysitter-sdk
babysitter-sdk
1,52087

multi-app-orchestration

Orchestrate workflows across multiple applications and APIs — inter-app coordination, data handoff, and multi-system task completion.

a5c-ai
a5c-ai
1,52087

multi-service-orchestration

PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.

a5c-ai
a5c-ai
1,52087

multi-turn-tool-use

Design agents for multi-turn tool use — sequential tool calls, result accumulation, error recovery, and complex task decomposition over multiple turns.

a5c-ai
a5c-ai
1,52087

nemo-guardrails

NVIDIA NeMo Guardrails configuration for conversational safety and control

a5c-ai
a5c-ai
1,52087

Page 195 of 1678 · 83894 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.