Skill UI

This skill provides structured guidance and patterns for performing comprehensive web fuzzing using the powerful command-line tool, ffuf. Web fuzzing is an essential security testing technique used by penetration testers to discover hidden directories, unlinked endpoints, or sensitive files on a web server by systematically brute-forcing potential paths and parameters. Use this skill when you need to audit the security posture of a web application or map out unknown parts of a website.

Automates Composio Files Com work by discovering available tools with Rube MCP, validating connections, and executing schema-compliant workflows, ensuring consistent operations for file management tasks.

This guide provides a comprehensive, multi-step technical process for migrating historical meeting recordings and data into the Fireflies.ai ecosystem. It covers various scenarios, including batch uploads from public URLs, importing authenticated files (S3/GCS), direct file uploads, and tracking progress via webhooks, ensuring a robust and validated transition from competitor platforms.

This skill provides comprehensive automation for content workflows using the Gamma API. It allows users to generate multiple variations from a single template, support batch processing, and specify export formats (PDF, PPTX, PNG). Furthermore, it handles the retrieval of final exported files and configures detailed sharing permissions, making it ideal for structured, large-scale content distribution.

A comprehensive mechanism for managing data privacy, retention, and compliance when integrating with Gamma APIs. This skill guides users on handling Personally Identifiable Information (PII), sanitizing user content and logs, securely archiving exported files (e.g., via S3), and implementing precise data retention policies to meet standards like GDPR and CCPA. Essential for building compliant, production-ready applications.

Generates production-ready Docker Compose configurations for multi-container apps by defining services, networks, volumes, health checks, and resource limits based on user architecture input.

This skill generates complete gRPC service definitions, client/server stubs, and robust implementations directly from Protocol Buffer (.proto) files. It supports all streaming patterns (unary, server, client, bidirectional) and includes advanced features like authentication interceptors, health checks, and automatic REST-to-gRPC gateway generation, making it ideal for building high-performance, enterprise-grade microservices.

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.

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.

The Hugging Face Hub CLI (`hf`) is a comprehensive command-line tool for managing the entire lifecycle of AI assets. It allows users to download models, upload datasets, synchronize files to buckets, manage authentication tokens, and interact with collections and discussions. This tool is essential for automating MLOps workflows and managing resources directly from the terminal.

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.

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.