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database-sqlite

16
Niller2005Niller2005

SQLite best practices, connection management, and migration system for PolyFlup.

195 days ago

svelte-ui-standards

16
Niller2005Niller2005

Coding standards and UI guidelines for the PolyFlup Svelte dashboard.

195 days ago

polyflup-history

16
Niller2005Niller2005

Chronological log of system improvements and session summaries for PolyFlup.

195 days ago

database-analyzer

16
Niller2005Niller2005

Specialized in syncing the production database and performing analysis on trades, balances, and market history.

195 days ago

trainer

16
Niller2005Niller2005

Responsible for keeping the system's "Skills" and internal knowledge base up to date with the latest project developments.

195 days ago

python-bot-standards

16
Niller2005Niller2005

Coding standards, modular architecture, and common execution patterns for the PolyFlup Python backend.

195 days ago

bookkeeper

16
Niller2005Niller2005

Specialized in maintaining project documentation, ensuring it reflects the current state of the codebase and operational procedures.

195 days ago

polyflup-ops

16
Niller2005Niller2005

Operational commands, environment configuration, and deployment for PolyFlup.

195 days ago

log-analyzer

16
Niller2005Niller2005

Specialized in syncing logs from production and analyzing them to find trade history, errors, or performance metrics.

195 days ago

polymarket-trading

16
Niller2005Niller2005

Polymarket-specific terminology, trading strategies, and API reference.

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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