Skill UI

This comprehensive guide provides essential security best practices for deploying applications on Fly.io. It covers critical areas such as secrets management, private networking using WireGuard, securing TLS certificates, and properly scoping deploy tokens. The included functions demonstrate how to validate API tokens, verify webhook signatures, and validate deployment configurations to mitigate common cloud and application-level vulnerabilities.

A comprehensive, step-by-step guide for managing Notion API integrations. Learn how to upgrade both the Node.js (@notionhq/client) and Python (notion-client) SDKs, handle major version breaking changes, and properly manage API version pinning (e.g., 2022-06-28) to ensure stable, production-ready applications.

This guide details how to install the official SerpApi client library for Python and Node.js, and properly configure API key authentication. It is essential for any project requiring structured JSON results from major search engines like Google, Bing, and YouTube, ensuring secure and reliable search result scraping.

This minimal example demonstrates the structure of an MDA source file, including advanced frontmatter fields (metadata) and how to properly implement relationship-graph footnotes. It serves as a crucial reference fixture for users learning the MDA source format.

A comprehensive toolkit for managing the entire lifecycle of feature flags, treating them as a controlled process rather than simple if-statements. This system provides scripts to scan for technical flag debt, plan progressive rollouts (e.g., ring, linear), and audit for crucial kill-switches. Ideal for release engineering, ensuring features are properly launched, tested, and safely retired.

A specialized skill for achieving asymptotic performance gains when classical algorithms are already near optimal. It leverages advanced mathematical techniques and probabilistic data structures (e.g., Bloom Filters, HyperLogLog, FFT, MinHash/LSH) to handle massive datasets (n ≥ 10⁶) by accepting bounded approximations or exploiting deep structural properties. Requires strict adherence to error parameter and complexity justification protocols.

A comprehensive workflow designed to convert unstructured conversational data, meeting notes, and ad-hoc decisions into highly structured, linkable entries within Notion. This tool ensures that all captured knowledge—whether an FAQ, a 'how-to' guide, or a formal decision log—is properly documented, categorized, and linked to maintain a cohesive, searchable knowledge base for easy reuse across teams.

This tool assists researchers in structuring academic papers by mapping specific claims across different sections (Introduction, Method, Results, Discussion) to required external citations (BibTeX keys). It enforces citation density rules and ensures the correct role alignment (e.g., background, comparison, limitation) before the actual drafting process, guaranteeing that every core claim is properly supported and distributed.

An internal tool designed to validate candidate meta-skills (SKILL.md) before registration. It performs comprehensive structural linting (G1 rules) and a scheduler dry-run (G2) to ensure the workflow is deterministic, references are correct, and templates resolve properly. It outputs detailed JSON diagnostics.

This skill generates a complete React component structure following the industry-standard Container/Presentation pattern. It automatically scaffolds necessary files, including TypeScript, Storybook, and SCSS styles, ensuring adherence to project conventions. Use this when building new, scalable components, allowing you to properly classify whether the component is UI-focused (Presentation) or logic-heavy (Container).

This skill automatically generates fully structured, import-ready Postman Collection v2.1 JSON files. It can interpret both natural language descriptions of REST APIs (endpoints, methods, parameters) and raw cURL commands. Use it whenever you need to quickly set up a comprehensive API testing suite in Postman without manual JSON construction, ensuring all variables and environments are properly extracted.

This skill acts as a critical reality-check layer before code generation. It ensures that every function call, import, method, and variable the agent uses is provably available in the user's specific installed environment and version. It prevents runtime bugs caused by hallucinated or improperly assumed APIs, making the generated code robust and reliable.