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seo

11
JacbKJacbK

Optimize portfolios for search engines and set up analytics. Covers meta tags, OG images, structured data, analytics options, and performance optimization.

195 days ago

persona

11
JacbKJacbK

AI assistant framework for building unique, authentic portfolio websites from scratch. Guides agents through research, design, and implementation phases.

195 days ago

research

11
JacbKJacbK

Gather information about users from materials, profile config, GitHub, and web search to inform portfolio content and design decisions.

194 days ago

fonts

11
JacbKJacbK

Reference for selecting distinctive typography. Includes font recommendations by vibe, category, archetype, and pairing guidelines for Next.js projects.

194 days ago

content

11
JacbKJacbK

Generate authentic, compelling copy for portfolios. Covers tone calibration, taglines, bios, project descriptions, and avoiding assumptions.

195 days ago

colors

11
JacbKJacbK

Reference guide for portfolio color palettes. Includes quick vibe lookup, full palettes, and application guidelines using the 60-30-10 rule.

195 days ago

design

11
JacbKJacbK

Create unique visual designs by synthesizing from inspirations and preferences. Covers typography, color, layout, spacing, and animation philosophy.

195 days ago

deploy

11
JacbKJacbK

Help users deploy their portfolio to production. Covers Vercel, Netlify, Cloudflare Pages, GitHub Pages, Docker, and MCP integration for AI-driven deployment.

194 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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