Search Skills

Provides Rust coding conventions for blockchain development, including formatting, imports, error handling, and documentation best practices.

Provides technical analysis for stocks and ETFs using RSI, MACD, and Bollinger Bands to generate trading signals and market insights.

Automates AI agent and workflow creation via natural language, handling API research, code implementation, and skill deployment without user coding.

Reviews inline code formatting in markdown documentation to ensure proper syntax highlighting and backtick usage for CLI flags, filenames, and code elements.

Performs UI interactions like clicking, typing, and scrolling in TestDriver test automation.

Enables self-hosting of TestDriver sandboxes for Windows testing on AWS, custom AMIs, and personal infrastructure setups.

Optimizes test execution speed by managing element caching in TestDriver, including cache key management and troubleshooting cached element issues.

Automates UI element location in test scripts using natural language descriptions and property analysis for efficient test development and debugging.

Enables variable usage in TestDriver tests for parameterization, environment variables, and inter-step data passing.

Securely manages passwords, API keys, and sensitive data in TestDriver tests and CI/CD pipelines to prevent exposure.

Provides utilities for waiting for elements during test automation, handling page loads and loading states with configurable timeouts.

Executes and debugs tests using Vitest, providing insights into test failures and output for efficient development.

Automates CI/CD pipeline setup and test execution for pull requests using GitHub Actions and TestDriver integration.

Automates setup of TestDriver for project testing, including installation, vitest configuration, and TD_API_KEY setup.

Provides natural language assertions for verifying UI state, visual conditions, and test outcomes in TestDriver tests.

Generates TestDriver test files and structures test suites using the two-file workflow pattern for browser and desktop testing environments.

Verifies correct highlighting of lines in markdown code blocks for documentation accuracy, especially in code examples and before/after comparisons.

Validates tutorial instructions through step-by-step execution, ensuring educational content is accurate and complete.

Validates Nextflow example scripts by executing, verifying outputs, testing resume functionality, and comparing results with documentation.

Sets up Docker containers for Nextflow training examples with Docker-outside-of-Docker, ARM Mac emulation, and troubleshooting support.

Identifies and categorizes TODO/FIXME comments in code and config files, providing priority-based recommendations to manage technical debt and pending tasks.

Validates training materials for structural integrity, content accuracy, and teaching effectiveness through checks on headings, code comments, and lesson design.

Enforces writing tests before code implementation to verify behavior through initial failure, ensuring tests validate functionality.

Enables persistent storage and recall of user-provided information across conversations using Claude OS knowledge bases.