agent-protocols
Implements AI agent interaction protocols — adds WebMCP declarative tool annotations, WebMCP manifests, Google A2A Agent Cards, MCP discovery documents,…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-19 00:11
Agents & models
24,151 results
bingx-coinm-trade
BingX Coin-M (inverse/coin-margined) perpetual futures trading — place/cancel orders, manage positions, set leverage, and configure margin settings. Use when…
agentation
Add Agentation visual feedback toolbar to a Next.js project
langchain
Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on…
bedrock
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access,…
scenarios
Test your AI agent with simulation-based scenarios. Covers writing scenario test code (Scenario SDK), creating platform scenarios via the `langwatch` CLI…
ml-system-design-review
Use when reviewing ML system design docs, ML/AI project repos, design-doc PRs, RAG/LLM/foundation-model architectures, agentic AI workflows, or production ML…
diagnose-why-work-stopped
Diagnose stalled, looping, or over-recovered Paperclip issue trees and propose a no-code product-rule plan. Use when asked why work stopped, why it looped, or…
data-analysis-agent-business-intelligence
Use the Data Analysis Agent to perform natural language business analytics, auto-generate SQL queries, create visualizations, and produce business insights…
tradingagents-astock-multi-agent-framework
A-share multi-agent investment research framework with 7 AI analysts, bull/bear debate, and risk assessment adapted for Chinese stock market
ai-ml-skills
27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper…
engineer-agentic-ai
Translate natural-language requests about AI-agent behavior, skills, MCP tools/servers, prompts, routing, context loading, memory, hooks, plugins, permissions,…
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an…
agent-swarm-workflow
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation.…
skill-studio
Interview-driven automation design tool. This skill should be used when the user wants to design a new skill, agent, automation, shortcut, or any other…
bro-remember-it
Replenishes the project's persistent knowledge layer: context, features, playbooks. Use it when the user explicitly asks to remember a project decision, save information…
create-agentic-app
Scaffold and fully configure a new Agentic Coding Starter Kit project — a Next.js 16 + TypeScript + Better Auth + Drizzle + PostgreSQL + AI SDK boilerplate.…
nemo-relay-instrument-typed-wrappers
Use this skill when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior.
vllm-bench-random-synthetic
Run vLLM performance benchmark using synthetic random data to measure throughput, TTFT (Time to First Token), TPOT (Time per Output Token), and other key…
claw-multi-agent
Multi-agent parallel orchestration for OpenClaw. Spawn AI agents as a team — parallel research, multi-model comparison, code pipelines. Proven 50-65% time…
accelint-onboard-agents
Onboard a repository to agent-driven development by creating or refreshing a complete AGENTS.md or CLAUDE.md through behavior-focused discovery, structured…
self-improve
Use when a session produced reusable insights, when the user says "learn from this", "remember this", or "improve yourself", or after completing a complex task…
noodle
Operate the Noodle CLI — explain commands, find flags, create/edit .noodle.toml config. Also covers writing skills for Noodle: the orders pipeline, task-type…
hyperagents-self-improving-ai
Self-referential self-improving AI agents that optimize for any computable task using meta-learning and code generation