AI Skills Registry

Use Convex Components to add isolated backend features and compose component APIs. Use for installing components, calling component APIs, au

Build or extend LobeHub Agent Signal pipelines for background or quiet agent work driven by event sources, semantic signals, and action hand

Create high-quality, production-grade skills for Claude Code. Expert guidance on skill architecture, workflow design, prompt engineering, an

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H

Skill that analyzes 18-month scenarios from a news headline. Runs the primary analysis with the scenario-analyst agent and obtains a second

Authoring playbook for building agents that draft written content — blog posts, marketing copy, social media posts, newsletters, product des

Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video wi

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components

Provides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves r

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata.

Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as veri

Generate videos with ByteDance Seedance 2.0 via inference.sh CLI. Unified model for text-to-video, image-to-video, and reference-to-video wi

Modify, debug, or extend the s6-overlay supervision tree inside the Hermes Agent Docker image — adding new services, debugging profile gatew

Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues. Explores the codebase in the b

Build a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria. Use when asked

Activate mature .agents knowledge.

Generate high-fidelity UI screens or wireframes from text descriptions via Stitch MCP generate_screen_from_text. Use when the user wants to

Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4,

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, tr

Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via inference.sh CLI. Capabilities: text-to-image, image editing,

Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.

This skill should be used when users want to route LLM requests to different AI providers (OpenAI, Grok/xAI, Groq, DeepSeek, OpenRouter) usi