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story-splitter

mcakar-devmcakar-dev

Splits requirements into INVEST-compliant user stories using vertical slicing. Use when the user mentions story splitting, task decomposition, INVEST analysis, sprint planning, or backlog refinement.

195 days ago

spec-user-stories

jcvargasGitjcvargasGit

User story expert. Covers "As a... I want... So that..." format, INVEST criteria, story points, and backlog refinement. Use for writing user stories or tickets.

195 days ago

ui-enhance-animate

zaaakherzaaakher

Comprehensively upgrades and polishes an existing website's UI design — improving layout, typography, spacing, depth, visual hierarchy, and component refinement — while preserving the site's existing color palette. Also adds smooth, staggered blur+slide-up reveal animations using Framer Motion (or CSS if plain HTML) triggered when elements enter the viewport. Use this skill whenever the user wants to improve, modernize, polish, or animate an existing website or React/HTML page. Trigger even when the user only mentions "make it look better", "animate it", "improve the design", "upgrade the UI", "make it more modern", or "add scroll animations" — this skill handles all of those, not just animation.

195 days ago

web-forms-zod-validation

agents-incagents-inc

Zod schema validation patterns for TypeScript - schema definitions, type inference, refinements, transforms, discriminated unions

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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