Skill UI

Hunts registry Run key persistence by parsing Sysmon Event ID 13 logs, flagging suspicious auto-start entries, correlating with process/file creation events, and building Sigma/Splunk rules.

Implements a simplified Signal Protocol stack with X25519 key exchange, HKDF derivation, AES-256-GCM per-message encryption, ratcheting chains, and replay protections so only communicating parties can read messages in secure deployments.

This skill systematically probes an AI model's core behavioral patterns across six critical dimensions, including reasoning, refusal, formatting, and grounding. It generates a comprehensive, styled HTML report with radar charts and actionable insights, allowing users to understand a model's true capabilities, compare different models, or perform compliance and red-team assessments without needing an external API key.

repo-scan is a powerful tool designed to audit large, complex, cross-stack codebases (C++, Java, iOS, Web). It classifies every file into project code, third-party dependencies, or build artifacts. Key features include detecting embedded libraries (e.g., FFmpeg, OpenSSL) and providing a practical 4-stage assessment (Core Asset / Extract / Refactor / Deprecate) via an interactive HTML report. Essential for managing monorepos and planning major refactoring efforts.

Implements Cosign keyless signing with Fulcio certificates, Rekor log audit, and OIDC identity binding so container images and artifacts gain verifiable provenance within CI/CD pipelines.

A conversational onboarding skill designed to deeply understand the user and define the core identity of an AI partner. Through adaptive, multi-phase dialogue, it extracts key behavioral traits, motivations, and relationship dynamics, culminating in the generation of a comprehensive SOUL.md file that governs the AI's personality and interaction style. Use this skill when setting up, personalizing, or updating your AI agent.

This skill provides comprehensive management capabilities for Lark Minutes (妙记). Users can search for minutes using keywords, participants, or time ranges; retrieve basic metadata (like title, duration); and perform media operations. Furthermore, it supports uploading raw media files, which are then processed and saved as structured minutes.

Search finished Lark meetings by keywords, time range, organizer, participants, or meeting room, and fetch meeting notes, transcripts, summaries, todos, and participant snapshots for historical meetings.

This skill generates deep, clickable URLs to various resources within the Arize monitoring UI. It supports linking to specific traces, spans, sessions, datasets, evaluators, and annotation configurations. It is essential for sharing specific debugging artifacts or navigating directly to key data points within the MLOps platform by requiring precise resource IDs and time ranges.

Describes how to analyze a repository, prioritize key docs, and author an llms.txt entry so LLMs immediately understand the project scope, documentation clusters, and configuration artifacts they should consult.

This guide details advanced search techniques for researching musical artists from non-Western regions, including K-pop, Middle Eastern, African, and Latin American genres. It instructs users on moving beyond standard English search terms by incorporating regional keywords, cultural identifiers (like UN Ambassador status), specific platforms (e.g., Coke Studio), and systematic regional branching to find comprehensive information.

This comprehensive guide provides minimal working examples for key Adobe APIs: Firefly AI image generation, PDF content extraction, and Photoshop background removal. It serves as a practical quickstart for developers starting new Adobe integrations, testing API connectivity, or learning basic API calling patterns using TypeScript and Node.js.