Skill UI

Automate the complex process of migrating design systems, design tokens, and styles between multiple Figma files, or from external sources into Figma. This tool covers the full pipeline: inventorying assets, extracting raw style data (colors, typography, effects), transforming them into structured design tokens (e.g., JSON format), and finally writing them back into Figma variables using the Variables API. Ideal for maintaining consistency across large design libraries.

This guide demonstrates the foundational steps for connecting to the Navan REST API. It shows how to perform the initial OAuth authentication and retrieve real-time trip and booking data using raw REST calls (via TypeScript and Python). Ideal for verifying end-to-end integration after setting up credentials.

This guide provides a comprehensive reference architecture for building production-ready, enterprise-grade applications on Palantir Foundry. It covers the entire data lifecycle, detailing best practices for the standard data pipeline (Raw > Clean > Model), Ontology design, external API integration patterns, and robust multi-layered security models. Use it when designing, planning, or optimizing complex data infrastructure within Foundry.

This guide outlines the implementation of a production-ready Snowflake data platform using the industry-standard Medallion Pattern (Bronze, Silver, Gold). It provides comprehensive, step-by-step SQL examples covering raw data ingestion (Bronze), data cleansing and typing (Silver), and business-level aggregation (Gold). Use this when designing new data warehouses or establishing robust, layered data architecture standards on Snowflake.

This powerful compiler ingests heterogeneous research inputs, including PDF papers, code repositories, experiment logs, and raw notes. It transforms this diverse data into a comprehensive, structured Agent-Native Research Artifact (ARA). The system extracts core knowledge atoms, builds cognitive maps (claims, concepts, heuristics), and generates a verifiable, executable knowledge package for advanced AI consumption and research iteration.

Use this comprehensive skill to generate, manipulate, and export draw.io diagrams. It converts diagrams into native .drawio files and allows exporting to high-quality formats like PNG, SVG, and PDF. Crucially, it embeds the editable XML data, ensuring the resulting diagrams are professional, scalable, and easily integrated into documents.

Analyze a site's backlink profile including anchors, toxic signals, competitor gaps, and disavow candidates. Uses multiple data sources like Common Crawl, Moz, and DataForSEO. Provides scoring benchmarks and actionable insights.

This framework serves as a rigorous thought partner, designed to challenge underlying assumptions, separate raw evidence from interpretation, and ensure that all conclusions are fully defensible. It guides users to define clear decision goals, test counterfactuals, and calibrate claims strictly to the available data quality. Ideal for high-stakes projects where the cost of error is significant.

This skill guides the design of robust, production-grade data extraction pipelines, moving beyond brittle one-off scripts. It supports three modes: API-driven web scraping (Firecrawl), traditional local Python extraction (PDF, CSV), and hybrid workflows. Key features include intelligent routing, mandatory data validation, secure key management, and adherence to scraping best practices.

HasData is a comprehensive cloud platform designed for extracting structured public web data. It supports three core execution modes: Web Scraping API for arbitrary URLs (including JS rendering), pre-parsed Scraper APIs for known platforms (like Google or Amazon), and asynchronous Scraper Jobs for bulk or recursive crawling. Ideal for market research, e-commerce intelligence, job data collection, and local business lead generation.

A lightweight utility designed for fetching content from a single URL via HTTP or HTTPS. It supports various methods (GET, POST, PUT, DELETE) and allows configuration of timeouts and maximum response body sizes. This tool is ideal for quick, simple data extraction steps within a workflow DAG, offering significant performance gains over complex LLM agent loops. Note that complex tasks like JS rendering or multi-page crawling require dedicated sub-agents.

This meta-skill is designed for generating comprehensive competitive intelligence briefs for sales, business development, and strategy teams. It monitors signals across various dimensions (pricing, product, leadership, funding, etc.) for specified competitors or targets over a defined time window. It helps track changes against a baseline and provides actionable recommendations, moving beyond simple raw data dumps.