Skill UI

This comprehensive runbook provides detailed procedures for diagnosing and resolving critical incidents within the Glean enterprise search platform. It covers all severity levels (P1-P4) and failure modes, including API outages, connector synchronization failures, indexing backlogs, and permission drift. It includes diagnostic steps, advanced troubleshooting playbooks, and communication templates for technical support and engineering teams.

This comprehensive guide details advanced workflows for high-quality video generation using platforms like Runway. Learn essential techniques including advanced prompt engineering (Subject + Action + Setting + Style), optimal model selection (e.g., gen4_turbo), and parameter tuning for duration and aspect ratio. The workflow also demonstrates efficient batch generation for creating multiple, consistent video assets.

This expert skill guides the creation of comprehensive, implementation-ready design system documentation. It establishes foundational rules, component anatomy, accessibility requirements (WCAG 2.2 AA), and brand tokens, ensuring consistency for engineering and design teams across all platforms.

Runs a comprehensive, systematic QA check on Figma designs to ensure they are production-ready before handing off to engineering. The checklist rigorously evaluates file hygiene, component consistency, accessibility (WCAG AA), content completeness, and overall readiness across multiple platforms (iOS/Android/Web). Use this skill when needing to validate a design’s quality and structure to prevent costly development rework.

This skill generates a comprehensive Technology Radar document following the ThoughtWorks format. It provides a structured framework for an engineering team to evaluate and categorize all significant technologies (tools, languages, platforms, techniques) into four quadrants (Adopt, Trial, Assess, Hold). It helps establish a shared, explicit technology strategy, detailing adoption rationales, decision trails, and maintenance processes for consistent engineering choices.

This guide details how to deploy OpenCTI, a powerful, open-source threat intelligence platform, and utilize the pycti Python client. It teaches analysts how to model complex cyber threat intelligence, including threat actors, campaigns, and indicators, into a structured STIX 2.1 knowledge graph. Use this for centralized threat-intel correlation, building adversary graphs, and generating STIX bundles for detection engineering.

This skill provides deep intelligence by systematically scraping and analyzing a competitor's paid advertising campaigns across platforms like Meta and Google. It goes beyond simple ad collection, performing structured analysis on creative patterns, common hooks (e.g., Fear/Loss, Outcome), CTAs, and reverse-engineering their landing page funnels to reveal their core positioning and potential vulnerabilities. Ideal for product marketing, growth strategy, and campaign optimization.

This comprehensive guide details the methodology for reverse engineering macOS and Mach-O binaries. It covers analyzing application bundles, deciphering Objective-C/Swift symbols, examining code signing and hardened runtime features, and performing both static (using tools like Ghidra, IDA) and dynamic analysis (using lldb, Frida) to aid in malware analysis and platform security research.