Skill UI

This skill provides a comprehensive guide to implementing robust API versioning strategies, supporting methods like URL path, custom headers, and query parameters. It covers building backward compatibility layers, adding standard deprecation notices (e.g., Sunset Header), and utilizing OpenAPI specifications to detect breaking changes, ensuring stable API evolution over time.

Vexor is a powerful command-line interface designed for advanced semantic search across local files. By utilizing vector embeddings and integrating with large language models (like Claude/Codex), it allows users to search files based on meaning and context, rather than just exact keywords. This is ideal for large codebases or document repositories where traditional keyword search methods are insufficient.

This guide provides advanced, deep-dive debugging techniques for complex issues within the Windsurf integrated development environment. It addresses persistent problems such as context corruption in Cascade, indexing failures, extension conflicts, and deep configuration bugs that standard troubleshooting cannot resolve. Use this when the AI suggestions or IDE behavior is consistently incorrect or unstable.

This comprehensive guide offers detailed steps to optimize the Windsurf IDE experience. It addresses common performance bottlenecks such as slow indexing, high memory consumption, and inefficient AI context building (Cascade). Users will learn best practices for configuring exclusion patterns, managing focused workspaces, and tuning IDE settings for maximum development efficiency.

This skill automates the creation of comprehensive test suites for any codebase. Utilizing advanced AI capabilities, it analyzes function signatures, automatically identifies potential edge cases, generates meaningful assertions, and produces necessary mock data and fixture files. It is essential for developers needing robust unit tests, increasing code coverage, and adopting Test-Driven Development (TDD) workflows across various frameworks like Jest or pytest.

This skill provides guidance for implementing tasks using structured workflow patterns, specifically following Conductor's TDD (Test-Driven Development) workflow. It helps manage phase checkpoints, organize git commits, and execute rigorous verification protocols. Use it when adhering to a defined development plan, ensuring quality gates are passed, and managing the entire lifecycle from initial planning to final validation.

Create a disciplined, developer-ready implementation plan whenever a multi-step spec arises; document every file, command, and bite-sized action with precise steps, tests, and commit guidance so any engineer can execute confidently with DRY/YAGNI/TDD practices.

This guide outlines best practices for creating robust and optimized Zustand stores in TypeScript. It covers fundamental patterns, such as separating state and actions, utilizing `subscribeWithSelector` middleware, and implementing individual selectors to prevent unnecessary re-renders. Essential for building scalable, high-performance frontend applications with React.

Reasoning-Driven Image Briefs skill transforms agent prompts into logic-based Gemini 3 style instructions for muapi.ai, adding structured creative briefs (subject/action/context/composition/lighting), precise text cues, and physics-grounded constraints before invoking generation scripts.

Retrieve AlphaFold’s AI-predicted protein models via UniProt IDs, download CIF/PDB coordinates, inspect confidence metrics, and feed them into structural analysis or drug-discovery pipelines.

Provides programmatic access to the CZ CELLxGENE Census (61M+ cells) for querying standardized single-cell expression, metadata, embeddings, and stats across tissues and diseases, supporting scanpy and ML workflows.

Combines ESM3 and ESM C protein language models to generate sequences, predict structures, condition functions, and extract embeddings via local or Forge API inference for protein design and engineering workflows.