Skill UI

This guide provides a comprehensive walk-through of making the first REST API calls to Figma. Users learn how to fetch core file metadata (name, version, pages) and traverse the complex document structure (nodes, frames, components). It's ideal for developers starting a new Figma integration, setting up API connectivity tests, or understanding the fundamental relationships between design elements within a Figma file.

This comprehensive bundle collects all necessary diagnostic evidence for Fly.io applications, including machine status, application logs, volume metadata, and network diagnostics. It is crucial for generating detailed support tickets and troubleshooting complex infrastructure issues such as stuck deployments, boot failures, or edge networking problems.

Query and download public cancer imaging data (CT, MR, PET, pathology) from the NCI Imaging Data Commons. Supports metadata SQL lookups, DICOM access via idc-index, REST or MCP, cohort selection, browser visualization and license checks without authentication.

This skill serves as a comprehensive entry point for initiating new development work. It systematically analyzes project metadata (specs, roadmaps) to determine the optimal work decomposition path (new spec, existing extension, or simple fix). By conducting deep context loading and guiding structured dialogue, it refines vague ideas into clearly defined, actionable scope boundaries. Finally, it proposes multiple concrete technical approaches, complete with trade-offs and estimates, ensuring the resulting project scope is well-defined and ready for implementation.

This skill provides programmatic access to manage the entire lifecycle of a Linktree profile and its associated links via the REST API. Users can retrieve profile metadata, create new links (with positioning and thumbnails), update link properties, and list all links. It is ideal for building integrations that automate content management, such as syncing product launches, rotating seasonal promotions, or bulk-importing link data from external sources.

Conduct comprehensive systematic literature reviews across biomedical and scientific domains using multiple academic databases. Synthesize findings, verify citations, and generate professional markdown or PDF documents. Includes AI-generated scientific schematics for visual enhancement. Ideal for research synthesis, meta-analyses, and thesis writing.

This comprehensive debug bundle collects all necessary diagnostic evidence from Lucidchart's API integrations. It systematically checks document access, data linking integrity, shape rendering, and export status by capturing API responses, page metadata, and rate limit information. It is essential for support engineers diagnosing complex integration failures without needing direct account access.

This guide provides advanced techniques for optimizing API interactions with Lucidchart, especially when dealing with enterprise diagrams containing thousands of shapes. Key strategies include implementing Redis caching for metadata, utilizing cursor-based pagination for list retrieval, grouping updates for batch operations, and robust rate limit handling with exponential backoff. It ensures stable and high-throughput integration.

This guide provides three fundamental examples for integrating with the Notion API. It demonstrates how to search for existing pages, create new content within a database, and retrieve the newly created page's metadata. Ideal for developers starting a new Notion integration or implementing basic automated workflows.

This comprehensive guide provides a detailed methodology for detecting and exploiting Server-Side Request Forgery (SSRF) vulnerabilities. It covers basic, blind, and out-of-band techniques, including testing against cloud metadata endpoints (AWS/GCP/Azure) and advanced bypass methods like DNS rebinding. It is an essential resource for web application security testing and bug bounty hunting.

A comprehensive guide and implementation pattern for querying, searching, and paginating OneNote content using the Microsoft Graph API. This skill addresses the limitations of the standard OneNote search endpoint, providing robust methods for cross-notebook querying, advanced OData filtering on metadata, and client-side full-text indexing for body content. Ideal for building complex knowledge retrieval systems that handle large, distributed result sets.

This skill provides comprehensive strategies to optimize resource usage and mitigate rate limits when integrating with the OneNote Graph API. It focuses on reducing the operational 'cost' of making API calls by implementing metadata caching (TTL), utilizing JSON batch requests, and performing delta synchronization instead of full list fetches. Essential for high-volume, stable OneNote enterprise integrations.