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council-review

10
amiable-devamiable-dev

Multi-model code review with structured feedback using LLM Council peer evaluation. Use for PR reviews, code quality checks, or implementation review. Keywords: code review, PR, pull request, quality check, peer review, feedback

195 days ago

council-gate

10
amiable-devamiable-dev

Quality gate using LLM Council multi-model consensus for CI/CD pipelines. Use for automated approval workflows and pipeline quality checks. Keywords: gate, CI, CD, pipeline, automated approval, quality gate, GitHub Actions

195 days ago

council-verify

10
amiable-devamiable-dev

Verify code, documents, or implementation against requirements using LLM Council multi-model deliberation. Use when you need multi-model consensus on correctness, completeness, or quality. Keywords: verify, check, validate, review, approve, pass/fail, consensus, multi-model

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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