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Browse 5 skills related to modules

system-design

527
Joelhooks Swarm Tools System DesignJoelhooks Swarm Tools System Design

Principles for building reusable coding systems. Use when designing modules, APIs, CLIs, or any code meant to be used by others. Based on "A Philosophy of Software Design" by John Ousterhout. Covers deep modules, complexity management, and design red flags.

designarchitecturemodules+1
141 days ago

frontend-architecture

40
manutejmanutej

Component architecture, design patterns, state management strategies, module systems, build tools, and scalable application structure

architecturedesign-patternscomponents+3
141 days ago

terraform-infrastructure-as-code

40
manutejmanutej

Comprehensive Terraform Infrastructure as Code skill covering resources, modules, state management, workspaces, providers, and advanced patterns for cloud-agnostic infrastructure deployment

terraforminfrastructure-as-codecloud+7
141 days ago

erpnext-syntax-customapp

23
OpenAEC-FoundationOpenAEC-Foundation

Deterministic syntax for building Frappe custom apps including app structure, pyproject.toml, modules, patches and fixtures

erpnextfrappecustom-app+4
141 days ago

Terraform Infrastructure as Code

10
bobmatnycbobmatnyc

Production-grade Terraform development with HCL best practices, module design, state management, multi-cloud patterns, and AI-enhanced infrastructure as code for scalable cloud deployments

terraforminfrastructure-as-codeiac+8
141 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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