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fix-review-point

11
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Address unresolved review comments on a specified branch

195 days ago

Read Unresolved PR Comments

11
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Retrieves unresolved comments from GitHub PRs and creates remediation plans.

195 days ago

Resolve PR Comments (resolve-pr-comments)

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Batch-resolve unresolved review threads on GitHub pull requests.

195 days ago

check-library

11
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A skill to check library information. It retrieves the latest documentation and usage for Next.js, shadcn, and other libraries by using the appropriate MCP server.

195 days ago

create-issue

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Create an implementation plan and a GitHub Issue based on the task description provided as an argument

195 days ago

read-github-issue

11
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Retrieves the contents of a GitHub Issue and generates an implementation plan.

195 days ago

Exec Issue

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Execute tasks based on GitHub Issue content

195 days ago

create-pr

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Creates a Pull Request (PR) on GitHub. The PR description uses the specified template and includes the required information. After creating the PR, the skill reports the PR URL.

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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