smart_toy

by @pexoai

Videoagent Video Studio — AI Engineering skill for AI coding agents.

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8.2K

AI Agent

dev-browser

by @SawyerHood

Web browser capability for agents

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LangChain

langsmith-fetch

by @ComposioHQ

Debug LangChain and LangGraph agents by automatically fetching and analyzing execution traces from LangSmith Studio. First AI observability skill for Claude Code.

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747

Hugging Face

hugging-face-trackio

by @huggingface

Track ML experiments with real-time dashboards

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AI Strategy

ai-shaped-readiness-advisor

by @deanpeters

Assess automation vs. redesign opportunities across five competencies

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Prompt Engineering

by @sickn33

Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.

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AI Agent Architecture

ai-agents-architect

by @sickn33

"Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ..."

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LLM Applications

"Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-so..."

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359

Auto Research

context7-auto-research

by @sickn33

"Automatically fetch latest library/framework documentation for Claude Code via Context7 API"

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Conversation Memory

conversation-memory

by @sickn33

"Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history."

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GitHub Copilot

copilot-sdk

by @sickn33

"Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session managemen..."

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7.4K

CrewAI

crewai

by @sickn33

"Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (s..."

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Embedding Models

by @sickn33

"Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpoin..."

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LLM Applications

llm-app-patterns

by @sickn33

"Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, buildin..."

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LLM Evaluation

llm-evaluation

by @firecrawl

AI-powered autonomous data extraction that navigates complex sites and returns structured JSON. Use this skill when the user wants structured data from websites, needs to extract pricing tiers, product listings, directory entries, or any data as JSON with a schema. Triggers on "extract structured da

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2.7K

GitHub Copilot

copilot-spaces

by @github

'Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a "Copilot space", want to load context from a shared knowledge base, discover available spaces, or ask questions grounded in curated project documentation, code, and instructions.'

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AI Agents

create-agent

by @openrouterteam

by @rivet-dev

"RivetKit SwiftUI client guidance. Use for SwiftUI apps that connect to Rivet Actors with RivetKitSwiftUI, @Actor, rivetKit view modifiers, and SwiftUI bindings."

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1.6K

Rivetkit

AI content creation agent. Describe what you want in conversation — Pexo plans, generates, and delivers finished videos and images. Any duration, any style, any content type. USE FOR: video production, AI video, make a video, image generation, product video, brand video, explainer, social clip, ad,

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RAG (Retrieval Augmented Generation)

by @jeffallan

"Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, O

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Regular Expressions

regex-vs-llm-structured-text

by @affaan-m

Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.

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Long-term Memory AI

elite-longterm-memory

by @nextfrontierbuilds

Ultimate AI agent memory system. WAL protocol + vector search + git-notes + cloud backup. Never lose context. Works with Claude, Cursor, GPT, OpenClaw agents.

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OpenAI Whisper

by @refoundai

Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG, creating agents, running evals, or trying to improve AI output quality.

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AI Model Evaluation

ai-evals

by @refoundai

Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying to systematically measure AI output quality.

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LiveKit

livekit-agents

by @livekit

'Build voice AI agents with LiveKit Cloud and the Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent workflows", or is working with LiveKit Agents SDK. Provides opinionated guidance for the recommended path: L

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SwiftUI

swiftui-patterns

by @affaan-m

SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.

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WeChat Integration

by @tencentcloudbase

Use this skill when developing browser/Web applications (React/Vue/Angular, static websites, SPAs) that need AI capabilities. Features text generation (generateText) and streaming (streamText) via @cloudbase/js-sdk. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended) and Deep

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Brand Identity

brand-designer

by @daffy0208

Expert in brand identity, logo design, and visual brand systems

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457

AI Code Generation

coding-agent

by @steipete

'Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edi

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Autonomous Agents

autonomous-loops

by @affaan-m

"Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems."

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426

Google Gemini API

gemini-live-api-dev

by @google-gemini

Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), native audio features, function calling, session management, ephemeral tokens for client-side auth, and all Live A

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PUA Framework

by @davidkiss

"Analyzes the conversation and tool usage to propose improvements to skills or store user preferences."

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AI Agent Development

agent-harness-construction

by @affaan-m

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.

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AI-Driven Development

ai-first-engineering

by @affaan-m

Engineering operating model for teams where AI agents generate a large share of implementation output.

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Prompt Engineering

seedance-2.0-prompter

by @pexoai

Expert prompt engineering for Seedance 2.0. Use when the user wants to generate a video with multimodal assets (images, videos, audio) and needs the best possible prompt.

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AI Agent Loop

continuous-agent-loop

by @affaan-m

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

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340

AI Agent Operations

enterprise-agent-ops

by @affaan-m

Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.

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Prompt Engineering

prompt-optimizer

by @daymade

Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or document

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Outcome Analysis