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eve-esi-api

6
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EVE Online ESI API patterns and zkillboard integration. Covers ESI endpoints, authentication, data models, zkillboard RedisQ listener, caching strategies, and EVE-specific IDs (characters, corporations, alliances, ships, systems, regions). Use when working with killmail data, fetching EVE universe info, or implementing ESI calls.

195 days ago

serenity-discord-bot

6
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Discord bot development with Serenity 0.11. Covers event handlers, slash commands, embeds, interactions, TypeMapKey for shared state, and message sending patterns. Use when creating Discord commands, building embeds, handling interactions, or working with the Discord API.

195 days ago

rust-dev-guidelines

6
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Idiomatic Rust development patterns for async applications. Covers error handling with Result/Option, ownership and borrowing, async/await with Tokio, traits and generics, serde serialization, Arc/Mutex for shared state, and clippy best practices. Use when writing Rust code, refactoring, handling errors, or implementing async patterns.

195 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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