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product-recommender

zdqsgithubzdqsgithub

Helps customers choose the right 3D printer, filament, or material based on their project needs, budget, and experience level.

191 days ago

content-generation

zdqsgithubzdqsgithub

Auto-drafts social media posts, email newsletters, and blog articles about 3D printing products and services.

191 days ago

stock-monitor

zdqsgithubzdqsgithub

Polls inventory system at scheduled intervals to monitor stock levels and trigger reorder alerts when thresholds are breached.

191 days ago

order-quote

zdqsgithubzdqsgithub

Instantly generates price quotes for DIY 3D printing service requests based on model dimensions, material, and turnaround time.

191 days ago

trend-analysis

zdqsgithubzdqsgithub

Detects demand spikes and market trends for 3D printing materials and products using web search and order history analysis.

191 days ago

faq-troubleshooting

zdqsgithubzdqsgithub

Answers common customer questions about 3D printing materials, print settings, machine issues, and company policies.

191 days ago

lead-discovery

zdqsgithubzdqsgithub

Finds LA-area businesses that could benefit from 3D printing services using web search, lead scoring, and industry targeting.

191 days ago

alert-report

zdqsgithubzdqsgithub

Generates and delivers daily/weekly inventory digest reports via Telegram or WhatsApp with configurable alert severity levels.

191 days ago

outreach-scheduler

zdqsgithubzdqsgithub

Manages automated cold outreach email sequences and follow-ups at optimal times using nanobot cron scheduling.

191 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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