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review-to-tasks

17
mkXultramkXultra

Retrieve PR review comments and convert them into tasks. Use when review responses or checking PR comments are required.

195 days ago

taskforce-coding-buddy

17
mkXultramkXultra

Run the coding taskforce buddy workflow: implement with codex-ultra, run unit tests with gpt-5.1-codex-mini, triage results, and iterate fixes using the same session_id. Use when asked to follow taskforce_coding_buddy.md or to orchestrate this multi-step coding workflow.

195 days ago

taskforce-review-report

17
mkXultramkXultra

Run the taskforce review workflow: perform AI-driven code reviews using mcp__acm__run (codex-ultra by default; add gemini-ultra when multiple reviews are required) and then produce a review report with STATUS and DESCRIPTION. Use this when asked to follow taskforce_review_report.md or to orchestrate review plus report generation.

195 days ago

taskforce-coding-team

17
mkXultramkXultra

Run the taskforce coding team workflow: execute the taskforce-coding-buddy skill with codex-ultra, execute the taskforce-review-report skill with gemini-ultra, and loop based on the report STATUS. Use when asked to follow taskforce_coding_team.md or to orchestrate this coding+review loop.

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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