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weekly

1.1k
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Facilitate weekly review process with reflection, goal alignment, and planning. Create review notes, analyze past week, plan next week. Use on Sundays or whenever doing weekly planning.

195 days ago

goal-tracking

1.1k
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Track progress toward 3-year, yearly, monthly, and weekly goals. Calculate completion percentages, surface stalled goals, connect daily tasks to objectives. Use for goal reviews and progress tracking.

195 days ago

push

1.1k
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Commit and push vault changes to Git with smart commit messages. Auto-stages files, creates meaningful commits, and syncs with remote. Use after making vault changes or at end of day.

195 days ago

obsidian-vault-ops

1.1k
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Read and write Obsidian vault files, manage wiki-links, and process Markdown with YAML frontmatter. Use this when performing vault file operations, creating notes, or managing links.

195 days ago

onboard

1.1k
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Interactive vault setup and context loading. On first run, personalizes your vault. On subsequent runs, loads full context. Use at start of session or when Claude needs full vault context.

195 days ago

daily

1.1k
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Create daily notes and manage morning, midday, and evening routines. Structure daily planning, task review, and end-of-day reflection. Use for daily productivity routines or when asked to create today's note.

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

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