Skill UI

Automatically analyzes source files, detects or honors the requested testing framework, and produces comprehensive unit tests with mocks, edge cases, and assertions for Jest, pytest, JUnit, and other frameworks whenever users ask to generate tests.

Automate Google Drive file operations (upload, download, search, share, organize) through Composio's Rube MCP toolkit, orchestrating workflow commands for folder handling, permissions, and metadata validation.

This utility automatically collects comprehensive diagnostic data for the Granola application, including system specifications, audio configurations, network connectivity tests, and application metadata. It packages all findings into a single ZIP file for support teams. Use this when preparing a detailed support ticket or troubleshooting complex, persistent issues. The process is designed to collect diagnostic context without exposing sensitive meeting content, transcripts, or private API keys.

This guide details Apple's Human Interface Guidelines (HIG) for implementing crucial navigation components. It provides best practices for search fields (instant feedback, scoping), page controls (linear sequences), and path controls (file hierarchy/breadcrumbs). It helps developers ensure their application's UI feels native and intuitive across various Apple platforms (iOS, macOS, etc.).

This skill automatically gathers and structures comprehensive context for Apple product development. It analyzes existing project files (like README, Info.plist, and code) and prompts the user for details across product overview, target platforms, technology stack, design system, and accessibility requirements. The output is a structured context document used by other specialized skills to ensure consistent, informed design and development decisions.

A comprehensive skill designed to manage, track, and persist image assets generated by Ideogram's API. This tool addresses the critical issue of expiring image URLs by implementing a complete lifecycle pipeline. It handles metadata tracking (prompt, seed, model, style, etc.), immediate downloading, and robust storage to both local filesystems and cloud solutions like S3. Features include asset persistence, generation history logging, and image reproduction using stored seed values.

Generates and implements backup strategies for databases and applications, producing configuration files and automation scripts that ensure secure, scalable protection and disaster recovery readiness across platforms.

Automates inference latency profiler tasks in ML deployment scenarios, offering step-by-step guidance on model serving, MLOps pipelines, monitoring, and production optimization, generating production-ready code and validating outputs against best practices.

Interprets Culture Index survey and profile data to explain behavioral traits, team gas/brake/glue dynamics, burnout risk, hiring profiles, coaching cues, interview trait prediction, and conflict mediation, accepting extracted JSON or verified PDF input.

Transforms messy invoices, receipts, and bank docs into structured folders by reading files, extracting vendors, dates, amounts, and descriptions, renaming them consistently, and sorting copies ready for tax prep or accountant handoff.

Guides multi-agent workflows through an iterative context retrieval loop—dispatching broad queries, evaluating relevance, refining criteria, and looping up to three times so sub-agents gather exactly the files they need without overwhelming limits.

Create, modify, and validate Obsidian-compatible JSON Canvas (.canvas) files to build visual boards, mind maps, flowcharts, or note-link diagrams with nodes, edges, groups, and colors.