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work

andromedarabbitandromedarabbit

This skill should be used when the user wants to execute writing work, asks for "obsidian-workflows:work", needs to draft or refine content, or wants to route to specific writing modes (active/passive/draft/refine). Use when user says "work", "write", "draft", "refine", "execute writing".

193 days ago

compound

andromedarabbitandromedarabbit

This skill should be used when the user wants to capture learning points from completed work, asks for "obsidian-workflows:compound", needs to document insights for iterative improvement, or wants to build knowledge from finished content. Use when user says "compound", "capture learning", "document insights", "learn from this".

193 days ago

plan

andromedarabbitandromedarabbit

This skill should be used when the user wants to plan writing content, asks for "obsidian-workflows:plan", wants to start a writing workflow, or needs to choose between active writing (known topic) or passive discovery (scan for ideas). Use when user says "plan", "start writing", "writing workflow", "obsidian plan".

193 days ago

review

andromedarabbitandromedarabbit

This skill should be used when the user wants to review writing quality, asks for "obsidian-workflows:review", needs policy/style quality gate checks, or wants to validate content against writing policies. Use when user says "review", "check quality", "validate", "quality gate".

193 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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