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专门用于开发 FastGPT 系统工具和工具集的技能,包含 Zod 类型安全验证、共享配置管理和完整测试工作流。适用于创建新的 FastGPT 工具、开发包含子工具的工具集、或实现带有正确配置和测试的 API 集成。

192 days ago

context-first

5
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Load relevant design documents and project context before working on any task. Use when user asks about features, requests implementation, discusses functionality, analyzes architecture, updates documentation, or mentions specific components like OAuth, authentication, Logto, sync, Happy Server, messaging, chat, terminal, command, zen mode, boxes, workspace. Ensures all work is grounded in documented design decisions. Prevents assumptions and misaligned solutions by loading context first.

192 days ago

e2e-test-runner

5
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Run and debug end-to-end tests for web, iOS, and Android platforms. Use when running e2e tests, demonstrating features to leadership, debugging test failures, checking test status, or when user mentions testing, e2e, Playwright, Maestro, demo, demonstration, or test automation.

192 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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