researching-web-sources
Strategic web research using WebSearch and WebFetch - finds accurate, relevant information with multiple search angles, prioritizes authoritative sources, synthesizes findings with proper attribution.
Discover Documentation skills, compare source repositories and read the instructions for each workflow.
Strategic web research using WebSearch and WebFetch - finds accurate, relevant information with multiple search angles, prioritizes authoritative sources, synthesizes findings with proper attribution.
This skill should be used when the user asks to "verify claims", "fact check", "validate documentation", "check sources", or needs verification of external source references. Provides patterns for systematic fa...
Identify articles that qualify as breaking news requiring immediate alerts. Fast check based on article metadata without additional LLM calls.
Collect articles from configured RSS feeds. Fetches from multiple AI-focused news sources including tech blogs, research feeds, and company announcements. Filters articles by age and AI relevance.
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
NumPy for matrix operations, FFT, linear algebra, and numerical computations in marine engineering
6DOF ship dynamics, equations of motion, seakeeping analysis, and natural frequency calculations
Hydrodynamic analysis using BEM, RAOs, added mass, damping, and wave loads for offshore structures
Ocean wave theory including wave spectra, statistics, irregular seas, and wave transformation for offshore engineering
Capture user ideas verbatim in .wrangler/ideas/ directory using the MCP issues_create tool with type='idea'. Preserves exact user wording without interpretation or enhancement.
Detect and track design token drift between Figma design systems and code implementations - report-only skill that identifies inconsistencies and creates wrangler issues for resolution
Set up Git hooks for automated testing and code quality enforcement. Interactive configuration with smart project detection.
Generates standardized pull request descriptions following project conventions for GitHub PRs. Use when asked to create a PR description, or when PR description generation is part of a larger PR creation workfl...
Generates standardized pull request titles following project conventions for GitHub PRs. Use when asked to create a PR title, or when PR title generation is part of a larger PR creation workflow. This skill han...
Helps build AI agents using Azure AI Foundry with tool calling capabilities. Use this skill when creating agents, configuring tool definitions, implementing the agent loop, or integrating agents with Azure Func...
This skill should be used when the user asks to "execute task", "implement feature", "delegate work", "run workflow", "review code", "code quality check", or needs task orchestration and code review guidance. P...
Helps write pytest tests for Python code including Azure Functions, MCP tools, and API endpoints. Use this skill when creating unit tests, integration tests, fixtures, or mocking external services.
This skill should be used when the user asks to "use serena", "semantic search", "symbol analysis", "find references", "code navigation", or needs Serena MCP guidance. Provides Serena tool usage patterns.
Helps build MCP (Model Context Protocol) servers that expose tools to AI agents like GitHub Copilot. Use this skill when creating MCP tools, configuring MCP clients, debugging MCP connections, or integrating wi...
Helps create, debug, and deploy Azure Functions using the Python v2 programming model. Use this skill when working with HTTP triggers, MCP triggers, timer triggers, or any Azure Functions development including...
Helps create and structure Jupyter notebooks for teaching labs. Use this skill when creating lab notebooks, adding explanations for students, structuring educational content, or writing code cells with proper d...
Generate standardized .agent-os directory structure with product documentation, mission, tech-stack, roadmap, and decision records. Enables AI-native workflows.
Interactive daily productivity review with guided priority setting. Supports morning planning, midday check-ins, and end-of-day wrap-ups. Use for daily ritual or cron automation.
Create detailed implementation plans with granular, actionable tasks (2-5 min each). Use for multi-step development tasks requiring clear guidance. Based on obra/superpowers.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.