Skill UI

This expert acts as a Design Systems Lead and Prompt Engineer for creating high-fidelity, consistent UI designs. It transforms vague ideas into structured specifications by enhancing prompts with professional UI/UX terminology, synthesizing design system source files, and managing multi-step generation and editing workflows using the Stitch MCP.

A comprehensive workflow for setting up CI/CD pipelines for Flexport logistics integrations. This tool automates unit testing with mocked data, and executes live API contract validation against the Flexport sandbox upon merging to the main branch. It ensures data transforms and API compatibility across shipment lifecycle events, covering core logistics functions like booking, tracking, and customs documentation.

This skill manages the complex process of upgrading AppFolio API integrations. It automatically detects current and latest API versions, handling breaking changes such as renamed fields, altered pagination models, and deprecated endpoints. The tool provides schema migration transforms and implements a robust rollback strategy, ensuring stable data synchronization during major platform updates.

Transforms raw calendar data (ICS/JSON) into actionable development workflows. This skill automatically generates detailed meeting briefings, summarizes standup notes using Git commits and CI status, and creates repeatable Bash scripts. It bridges time management and development tasks, ensuring users are always prepared for their next meeting or sprint.

This skill provides real-time monocular depth estimation using advanced models like Depth Anything v2. It transforms live camera feeds by generating colorized depth maps, enabling depth overlays and detailed scene understanding. Crucially, it supports a 'privacy mode' that anonymizes visual identities by using depth-only transformation, preserving only the spatial layout and movement patterns for secure monitoring purposes. Optimized for both CoreML on macOS and PyTorch on other platforms.

This skill acts as a specialized prompt engineer for AI design tools. It transforms vague, rough UI/UX ideas into polished, highly optimized prompts. It systematically enhances prompts by injecting missing details such as specific components, design system adherence (colors, typography), page structure, and platform context, ensuring the resulting command is professional and ready for superior AI generation.

Automates the CI/CD process for Glean enterprise search connectors. This tool runs comprehensive unit tests with mocked responses on every Pull Request, and executes integration tests against a staging Glean instance upon merging to the main branch. It validates connector data transforms, indexing API calls, and performs search relevance regression testing to ensure high search quality.

This skill transforms the agent into a senior strategic consultant, specializing in Philip Kotler’s macro-marketing environment analysis. It systematically evaluates PESTEL factors (Political, Economic, Social, Technological, Environmental, Legal) and synthesizes them into a high-impact SWOT matrix. Use this for market entry research, periodic strategic audits, or validating business assumptions against real-time macro-economic indicators.

This skill transforms an LLM into a disciplined wiki maintainer for Obsidian. It moves beyond simple RAG by incrementally ingesting sources (papers, notes, articles) to build a persistent, interlinked "Second Brain." The LLM manages cross-references, updates core concepts, and maintains an evolving knowledge graph, ensuring that knowledge compounds over time rather than being re-derived on every query. Ideal for deep research, personal knowledge management (PKM), and building comprehensive internal wikis.

This guide provides a comprehensive workflow for building robust ETL data pipelines within Palantir Foundry. It teaches how to utilize Python transforms, including the @transform_df decorator, for dataset-to-dataset processing. Key topics covered include multi-input joins, implementing incremental updates for efficiency, low-level file I/O, and configuring Spark resources for heavy computations. Essential for data engineers working with complex data modeling in Foundry.

This guide provides comprehensive technical instructions for optimizing Palantir Foundry costs. Learn to use incremental transforms to drastically reduce compute rebuilds, right-size Spark profiles based on data volume, and migrate from expensive API polling to efficient, event-driven webhooks, ensuring both cost efficiency and system stability.

A structured guide for setting up a robust local development environment for Palantir Foundry data pipelines. This workflow enables users to run Python transforms and unit tests using PySpark against sample data, and mock the Foundry API client, ensuring fast, isolated iteration cycles before deploying code to the official Foundry environment. Ideal for data engineers and developers building complex ETL logic.