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todo-creator

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Use this skill whenever the user wants to turn a feature idea, requirement, or description into structured todo/task markdown files for process-todos. Trigger on any request to create, generate, or write todos/tasks (todo 만들어줘, 투두 생성, create todos, make todo tickets), break down or decompose a feature into work items (작업 분해해줘, 기능 정리해줘, break this into tasks, decompose this feature), plan implementation steps or build a task list (태스크 나눠줘, 작업 목록 만들어, plan this feature, set up work items), or convert a description into actionable tickets (이거 todo로 만들어줘, feature breakdown 해줘, turn this into tasks). Also trigger when the user describes a feature and implies they want it organized into implementable units, even without saying "todo" — if they say "이 기능 정리해서 나눠줘" or "help me plan how to build this", that counts. This skill creates todo files; it does NOT execute or process them.

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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