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python

michellepellonmichellepellon

Deep fluency in modern Python (3.14+) for production systems. Use when writing Python code, designing APIs, building data pipelines, creating async services, or optimizing performance. Covers typing, tooling (uv/pyright/ruff), FastAPI, Polars, observability, and engineering judgment.

194 days ago

documentation-audit

michellepellonmichellepellon

Systematically verify documentation claims against codebase reality. Use when auditing docs, before releases, after refactors, or when documentation drift is suspected. Two-pass approach with pattern expansion ensures comprehensive detection of false claims, dead references, and gaps.

194 days ago

fresh-eyes-review

michellepellonmichellepellon

Use when about to commit, create a PR, or declare work complete — after verification-before-completion confirms tests pass but before code ships. Catches security vulnerabilities, logic errors, and business rule bugs that slip through despite passing tests.

194 days ago

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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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