llm-ai
23.4K
analyzing-agentscope-library
This skill provides a way to retrieve information from the AgentScope library for analysis and decision-making.
agentscope-ai
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
22.1K
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
ComposioHQ
data-ai
llm-ai
22K
ov-search-context
Search context data(memories, skills and resource) from OpenViking Context Database (aka. ov). Trigger this tool when 1. need information that might be stored as memories, skills or resources on OpenViking; 2. is explicitly requested searching files or knowledge; 3. sees `search context`, `search openviking`, `search ov` request.
volcengine
data-ai
llm-ai
21.6K
supermemory
Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.
supermemoryai
data-ai
llm-ai
21.5K
aionui-skills
Access the AionUI Skills registry — discover and download AI agent skills. Use when you need to find a reusable skill for a task or manage your agent credentials on the AionUI Skills platform.
iOfficeAI
data-ai
llm-ai
21K
elasticsearch-onboarding
Primary guided playbook for Elasticsearch search in Kibana Agent Builder: intent → data → mapping → Dev Tools API snippets (SENSE), with one question at a time. Load this skill whenever the user wants to learn Elasticsearch search, get started, begin building, take first steps, onboard, follow a walkthrough or tutorial, go from zero to a working query, or get structured help setting up indices and search — including casual openers like hi, help, getting started, new to Elasticsearch, how do I build search, or I want to try search. Use when they need end-to-end onboarding, not a single narrow API answer. If they only ask what they can build with Elastic (exploration without the full playbook), prefer invoking /use-case-library first; you can still load this skill afterward for the guided build. The guidelines in this skill should be the main format for the conversation for the rest of the user's chat session or until they are done with onboarding or ready to leave kibana and have the necessary information to c
elastic
data-ai
llm-ai
21K
rag-chatbot
Guide for building RAG (retrieval-augmented generation) chatbots and Q&A systems with Elasticsearch. Use when a developer wants to build a chatbot, Q&A system, or AI assistant that answers questions from their own data.
elastic
data-ai
llm-ai
20.7K
deep-interview
Socratic deep interview with mathematical ambiguity gating before execution
Yeachan-Heo
data-ai
llm-ai
20.5K
last30days-v3-spec
Internal architecture spec for the v3 last30days runtime pipeline. Not user-invocable.
mvanhorn
data-ai
llm-ai
20.3K
langgraph-docs
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
langchain-ai
data-ai
llm-ai
20.3K
web-research
Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.
langchain-ai
data-ai
llm-ai
20.2K
product-marketing-context
When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing-context.md` that all other skills reference for product, audience, and positioning context.
coreyhaines31
data-ai
llm-ai
20.1K
dyadadd-models
Add one or more AI models to the language model constants file, researching specs from official docs.
dyad-sh
data-ai
llm-ai
19.6K
elevenlabs
ElevenLabs audio generation — text-to-speech, voice cloning, and sound effects. Use this skill any time the agent needs to: convert text to spoken audio, narrate documents or content, generate voiceovers, clone voices from audio samples, create sound effects, or produce any audio output from text. Supports multiple voices, languages, models, voice cloning, batch processing, and sound effect generation. Requires ELEVENLABS_API_KEY.
kortix-ai
data-ai
llm-ai
19.6K
logo-creator
Create professional logos through an intelligent, iterative design process. Use this skill when the user wants to create a logo, icon, favicon, brand mark, wordmark, or any visual brand identity mark. Triggers on: 'create a logo', 'design a logo', 'make me a logo', 'logo for my brand', 'I need a logo', 'brand mark', 'wordmark', 'logomark', 'icon design', 'favicon'. This is NOT a one-shot image generator — it researches, strategizes, generates symbols with AI, visually inspects every output, then programmatically composes them with real Google Fonts typography into complete logo systems (logomark, wordmark, combination marks in multiple layouts).
kortix-ai
data-ai
llm-ai
19.6K
replicate
Discover, compare, and run AI models using Replicate's API. Use this skill whenever the task involves AI-generated media — images (text-to-image, style transfer, editing, upscaling, background removal), video, audio, or any other ML model output. Requires a REPLICATE_API_TOKEN — ask the user for it if not already set.
kortix-ai
data-ai
llm-ai
18.9K
nemoclaw-user-get-started
Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time.
NVIDIA
data-ai
llm-ai
18.2K
gemini
Gemini CLI for one-shot Q&A, summaries, and generation. Use when the user asks to query Gemini, generate text with Google AI, summarize content using Gemini, run a one-shot prompt, get a Gemini response, or produce JSON output via the Gemini CLI. Supports model selection, output formatting, and extension management.
elizaOS
data-ai
llm-ai
18.2K
openai-image-gen
Batch-generate images via the OpenAI Images API using DALL-E 2, DALL-E 3, or GPT image models. Produces random-but-structured prompts, renders them, and outputs a browsable `index.html` gallery. Use when the user asks to generate AI images, create pictures with DALL-E, batch-produce image assets, render AI art, or build an image gallery from text prompts.
elizaOS
data-ai
llm-ai
18.2K
openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper). Use when the user wants to transcribe, convert speech to text, extract words from audio or voice recordings, generate a transcript from an audio file, or perform speech recognition on m4a, ogg, or wav files using the Whisper model.
elizaOS
data-ai
llm-ai
18.2K
openai-whisper
Local speech-to-text with the Whisper CLI (no API key). Use when the user needs to transcribe audio, convert speech to text, generate subtitles, translate spoken language, or produce SRT/VTT captions from mp3, m4a, or wav files using the local Whisper model.
elizaOS
data-ai