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agentic-progressive-disclosure-architecture

ekroonekroon

Build codebases for agentic coding with progressive disclosure using module trees, API-first top layers, and implementation split by depth (best fit for Rust and Go).

195 days ago

codespaces-secret-sync

ekroonekroon

Sync user Codespaces secret repository access so multiple secrets match a base secret (defaults to first listed secret).

195 days ago

GitHub Mermaid Diagrams

ekroonekroon

Create and improve Mermaid diagrams optimized for GitHub rendering in both light and dark mode. Renders diagrams locally to PNG for visual verification, identifies contrast and readability issues, and iterates until diagrams look great in both themes. Use this skill when: 1. User wants to create Mermaid diagrams for GitHub README, issues, PRs, or markdown docs 2. User mentions diagrams looking bad in dark mode or light mode 3. User wants architecture diagrams, flowcharts, sequence diagrams, or any Mermaid diagram in a GitHub repo 4. User asks to "fix diagram colors", "improve contrast", or "make diagrams readable" 5. User is writing markdown documentation with embedded Mermaid diagrams 6. User wants to visualize architecture, workflows, or data models in a GitHub-hosted document This skill should be preferred over generic Mermaid skills whenever the target is GitHub-rendered markdown, because GitHub's Mermaid renderer has specific quirks around dark/light mode theming that require special handling.

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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