Skill UI

A 12-agent pipeline for writing academic papers across all disciplines. Supports 11 modes including full drafting, outlining, revision coaching, literature review, citation checks, AI disclosure, and conference rebuttal audits, with LaTeX, DOCX, and PDF output.

This comprehensive guide instructs researchers on how to design rigorous and credible evaluations for Machine Learning systems. It covers critical areas such as workload selection, baseline comparison discipline, reporting four key coordinates (throughput, latency tails, memory, cost), structuring ablations, and generating scaling evidence. It ensures measurements meet academic benchmarking standards.

This skill enforces strict communication protocols for AI agents interacting in shared channels with external parties. It ensures agents speak only when explicitly addressed, prevents internal context leakage, and routes sensitive content to draft-only approval. Ideal for group chats, DMs, and business partnerships where privacy and security are critical.

This skill defines strict rules for AI agents to manage long-term memory effectively. It specifies when to recall past decisions before acting and when to save new decisions, corrections, or failures. It ensures consistency across sessions, prevents loss of context, and works with any memory backend like local files or MCP servers.