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octave-mastery

37
elevanaltdelevanaltd

Advanced semantic vocabulary and architectural patterns for the OCTAVE format. REQUIRES octave-literacy to be loaded first

195 days ago

octave-mythology

37
elevanaltdelevanaltd

Functional mythological compression for OCTAVE documents. Semantic shorthand for LLM audiences, not prose decoration

195 days ago

octave-literacy

37
elevanaltdelevanaltd

Fundamental reading and writing capability for the OCTAVE format. Basic structural competence without full architectural specifications

195 days ago

octave-compression

37
elevanaltdelevanaltd

Specialized workflow for transforming verbose natural language into semantic OCTAVE structures. REQUIRES octave-literacy to be loaded first

195 days ago

octave-ultra-mythic

37
elevanaltdelevanaltd

Ultra-high density compression using mythological atoms and semantic shorthand. Preserves soul and constraints at 60% compression for identity transmission, binding protocols, and extreme token scarcity.

195 days ago

debate-hall

7
Elevanaltd Debate Hall Mcp Debate HallElevanaltd Debate Hall Mcp Debate Hall

Wind/Wall/Door debate orchestration router. Routes to focused skills based on task.

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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