Skill UI

Batch-categorize uncategorized transactions by clustering similar descriptions, researching unknown merchants, and creating rules or annotations so future payments auto-classify with minimal manual review.

Vizcom is an advanced AI platform designed to accelerate the product ideation and visualization process. It transforms rough inputs, such as hand-drawn sketches, basic line art, or simple text descriptions, into high-fidelity, photorealistic 3D renders. It is ideal for concept generation in physical products like furniture, electronics, and consumer goods, allowing designers to explore aesthetic variations and generate stunning marketing visuals.

Query the PrimeKG precision medicine knowledge graph to explore genes, drugs, diseases, phenotypes, and their relationships, supporting drug discovery, repurposing, and phenotype analysis through programmatic scripts.

An adaptive and persistent coaching system designed for the entire job search lifecycle. It covers critical stages including Job Description (JD) decoding, resume optimization, mock interviews (behavioral, technical, case), transcript analysis, storybank building, and comprehensive salary negotiation support. The system tracks your progress and provides tailored coaching plans across 23 commands.

Documented best practices for building applications with Anthropic Claude via Python and TypeScript SDKs, covering messaging, streaming, tools, vision, reasoning, caching, batching, and Agent workflows to optimize prompts, tokens, and cost.

A comprehensive, multi-stage workflow for enhancing and structuring raw footage using advanced AI tools. It covers the entire pipeline—from initial recording (Screen Studio) through AI planning (Claude/Codex), deterministic cutting (FFmpeg), compositing (Remotion), asset generation (ElevenLabs/fal.ai), and final human polish (Descript/CapCut). Designed for users creating vlogs, tutorials, or polished corporate videos.

Build cinematic landing pages and hero sections with parallax, scrollytelling, text reveals, and 2.5D depth using only CSS, JavaScript, and flat assets.

This skill monitors Todoist for tasks that are due or overdue and require follow-up (email, ping, etc.). It automatically drafts highly contextual emails by combining task descriptions, retrieved meeting transcripts (from Granola/Grain), and prior email history. Drafts are created directly in Gmail and the user is notified via WhatsApp, saving significant time on manual follow-ups and ensuring context-aware communication.

This skill analyzes Active Directory (AD) Access Control Lists (ACLs) to detect dangerous misconfigurations. It uses the ldap3 Python library to query domain controllers, parse security descriptors (SDDL), and identify instances where non-privileged users or groups are granted dangerous permissions like GenericAll, WriteDACL, or WriteOwner on sensitive objects. Essential for security incident response and privilege escalation path discovery.

A comprehensive workflow for performing static and dynamic analysis of malicious PDF documents. It utilizes tools like peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Ideal for triaging phishing attachments, analyzing exploit documents, and building threat signatures in a controlled forensic environment.

This skill guides users through analyzing suspicious URLs using the URLScan.io platform or API. It provides a safe environment to capture screenshots, DOM content, network traffic, and analyze JavaScript behavior to investigate phishing attempts, credential harvesting, and sophisticated malicious redirects without risking the analyst's system.

This comprehensive toolkit provides deep static analysis capabilities for suspicious PDF documents. Using tools like PDFiD, pdf-parser, and peepdf, it identifies embedded malicious structures—including JavaScript code, shellcode, auto-actions, and exploit kits—without opening or rendering the file. It is essential for security analysts conducting threat triage, forensic investigation, and assessing potential attack vectors from suspicious attachments.