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veo-video-generation

libevmlibevm

This skill teaches agents how to generate videos with Veo 3.1 using the Gemini API with an emphasis on REST and Python. It covers request/response shapes, long-running operations (polling), downloading results, and the major Veo controls (aspect ratio, resolution, duration, negative prompts, reference images, first/last frame interpolation, and video extension).

193 days ago

qmd

libevmlibevm

Local hybrid search for markdown notes and docs. Use when searching notes, finding related content, or retrieving documents from indexed collections.

193 days ago

duckduckgo-api

libevmlibevm

Use DuckDuckGo Instant Answer API (no API key) for quick facts, definitions, related topics, and lightweight reference links. Not a full SERP web search API.

194 days ago

nano-banana

libevmlibevm

Generate and edit images via Gemini “Nano Banana” native image models over the REST API using curl (text-to-image, image editing, multi-turn image editing, high-res up to 4K, reference images, grounding, prompting guides, base64 decode workflows). Always write decoded images into ./nanobanana-output/.

194 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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