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pragmatic-docs

vmvarelavmvarela

Write concise, useful project documentation (READMEs, guides, docs/) inspired by Philip Greenspun's pragmatic style. Use when creating or improving README.md, writing module docs, CONTRIBUTING.md, or structuring any project documentation for software projects.

195 days ago

GitHub Scrum

vmvarelavmvarela

Manage software projects with Scrum on GitHub. Plan MVPs, maintain a Product Backlog as Issues, run Sprints as Milestones, and automate setup with the gh CLI. Adapted for solo developers and small teams (1–3 people).

195 days ago

methodical-programming

vmvarelavmvarela

Apply rigorous, mathematically grounded program construction and verification. Derive correct programs from formal pre/post specifications using axiomatic semantics, structural induction, recursive design with bounding functions, algorithm immersion, and iterative derivation with loop invariants. Language-agnostic.

195 days ago

tdd

vmvarelavmvarela

Follow test-driven development with the red-green-refactor loop. Write failing tests first, make them pass with minimal code, then refactor. Covers unit and integration test strategies across Python, JavaScript/TypeScript, Go, and other languages.

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.
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