Skill UI

This skill details best practices for handling and structuring Evernote data. It covers designing local database schemas (SQL), advanced ENML content processing (to Markdown/HTML), managing attachments, and implementing reliable incremental synchronization using Update Sequence Numbers (USN). Ideal for developers building robust applications requiring deep, local data access and integrity checks for Evernote content.

This guide details the implementation of real-time synchronization for Evernote notes. It utilizes Evernote webhooks to detect changes (creation, updates, deletions) and pairs this with the Sync API to reliably fetch the actual data chunks. The process covers setting up webhook endpoints, managing sync state (USN), ensuring idempotency, and establishing a robust polling fallback mechanism for continuous data synchronization.

A structured multi-perspective deliberation process that summons clashing archetypes to debate a question, extract risks, and synthesize actionable insight whenever a tough decision, dilemma, or creative challenge demands diverse viewpoints.

Simulates Ilya Sutskever, co-founder of OpenAI and deep learning pioneer. Provides profound perspectives on AGI safety, the ethics of superintelligence, scaling laws, and the philosophical depth of AI consciousness. Ideal for complex, safety-critical deep technical discussions.

Analyze NTFS Master File Table artifacts with MFTECmd, analyzeMFT, and X-Ways to recover metadata and content of deleted files, leveraging $LogFile, $UsnJrnl, and slack space for incident response or threat hunting.

Investigates NTFS slack space, MFT entries, USN journal, and ADS using TSK tools, MFTECmd, and Python scripts to recover hidden data and reconstruct deleted file actions during deep forensic investigations.

A structured multi-perspective deliberation process that summons clashing archetypes to debate a question, extract risks, and synthesize actionable insight whenever a tough decision, dilemma, or creative challenge demands diverse viewpoints.

This advanced skill assesses the patentability of an invention by rigorously comparing its claims against global prior art. It performs detailed anticipation and obviousness analyses based on major international patent standards (USPTO, CNIPA, EPO), providing a comprehensive, multi-jurisdictional assessment report to determine novelty and inventive step.

Simulates a multi-round, expert-level patent office examination (Office Action) using advanced AI models. The system rigorously checks patent claims and specifications against global patentability standards (e.g., Novelty, Non-obviousness, Clarity, Enablement), improving IP quality through suggested amendments and comprehensive reports.