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release

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Worktrunk release workflow. Use when user asks to "do a release", "release a new version", "cut a release", or wants to publish a new version to crates.io and GitHub.

192 days ago

worktrunk

2.4k
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Guidance for Worktrunk, a CLI tool for managing git worktrees. Covers configuration (user config at ~/.config/worktrunk/config.toml and project hooks at .config/wt.toml), usage, and troubleshooting. Use for "setting up commit message generation", "configuring hooks", "automating tasks", or general worktrunk questions.

192 days ago

writing-user-outputs

2.4k
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CLI output formatting standards for worktrunk. Use when writing user-facing messages, error handling, progress output, hints, warnings, or working with the output system.

192 days ago

jean-claude

28
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This skill should be used when the user asks to search/send/draft email, check calendar, create events, schedule meetings, find/upload/share Drive files, read/edit Google Docs, read spreadsheet data, send texts/iMessages, send WhatsApp messages, send Signal messages, check messages, or create reminders. Manages Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets, iMessage, WhatsApp, Signal, and Apple Reminders.

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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