AgentCC Logo

AgentCC

Skills MCP Servers AI Tools
Home
Browse

github-issue

7
Enitrat Skill Issue Github IssueEnitrat Skill Issue Github Issue

Comprehensive GitHub issue lifecycle management from creation through resolution. Use when creating/viewing/editing/managing GitHub issues, writing issue descriptions, creating sub-issues, linking parent/child issues, dumping issue trees to markdown, or pushing issues from files. Covers the full issue lifecycle - creating issues with conventional commit titles, managing sub-issues and cross-repo references, editing issue content, viewing and listing issues, dumping issue trees with YAML frontmatter, round-trip workflows (dump→edit→push), linking issues, commenting, labeling, and closing. Supports meta-tickets, component issues, and cross-repo sub-issue tracking.

195 days ago

pr-review

7
enitratenitrat

Perform thorough, constructive pull request reviews using parallel specialized agents. Use when user wants to review a PR, provide code review feedback, or assess code changes. Features confidence-scored issues, validation filtering, and batched GitHub comments.

195 days ago

pr-creator

7
enitratenitrat

Guide PR authoring from creation through review completion. Use when creating/submitting/authoring pull requests, writing PR descriptions, responding to reviewer comments, or implementing review feedback. Covers the full PR lifecycle - creating PRs linked to issues, handling review comments (triaging, responding, implementing suggestions), and getting PRs merged.

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

Explore

  • Skills Directory
  • MCP Servers
  • AI Tools
  • Changelog

Platform

  • About AgentCC
  • Privacy Policy
  • Terms of Service

Network

CS
ClawiSkill

Explore ClawiSkill for more agent-related content, projects, and community context.

onlinev0.1.0
AgentCC / The Agent Context Center
© 2026 AgentCC
enitrat

Explore Skills

3 available
enitrat
Sort by:
enitrat