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crafting-rules

27
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Use when creating or modifying OpenCode rules (.md/.mdc files) that customize agent behavior. Helps extract patterns from conversation history, analyze project conventions (AGENTS.md, linters, package.json), and draft well-formatted rules with appropriate globs/keywords. Trigger when user wants to create a rule, codify repeated instructions, persist guidance across sessions, or customize agent behavior for specific files or topics.

192 days ago

Requesting code review

7
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Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches a code-reviewer subagent to review the implementation against the plan or requirements before proceeding.

191 days ago

brainstorming

7
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Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validation

191 days ago

writing-plans

7
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Use when you have a spec or requirements for a multi-step task, before touching code

191 days ago

executing-plans

7
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Use when partner provides a complete implementation plan to execute in controlled batches with review checkpoints - loads plan, reviews critically, executes tasks in batches, reports for review between batches

191 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.
Can't find your answer here? Get in touch

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