Skill UI

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 automates the process of running Postman API collections using Newman CLI. It generates comprehensive scripts, including basic CLI commands, robust shell scripts, and multi-stage Jenkins pipelines. Ideal for integrating API tests into CI/CD workflows, executing data-driven tests, and ensuring reliable automation in any environment.

This skill converts standard API specifications, including OpenAPI 3.x and Swagger 2.0 (in YAML or JSON format), into fully functional, import-ready Postman Collection v2.1 JSON files. It automatically maps paths, parameters, request bodies, authentication schemes, and generates corresponding environment variables, allowing users to immediately test defined APIs.

This utility provides garbage collection for Claude Code configurations. It periodically scans various directories—including skills, memory files, hooks, permissions, and caches—to identify orphaned, stale, or redundant configuration items. Crucially, the process is designed to be non-destructive, always requiring explicit human confirmation for every deletion to ensure a safe, audited cleanup process.

Build a production-ready, AI-powered data collection agent for any public source (job boards, prices, news, etc.). This agent automatically scrapes data, enriches it using free LLMs (like Gemini Flash), and stores the results in databases such as Notion, Sheets, or Supabase. It runs on a free schedule using GitHub Actions and learns from user feedback, making it ideal for continuous data monitoring and tracking.

Generates professional PNG icon image sets for the Xcode Asset Catalog, supporting both massive open-source collections via Iconify API and native Apple symbols via SF Symbols. Use this tool to streamline the creation, search, and replacement of app icons, ensuring consistency in style, size, and color across your iOS project.

An interactive tool designed to discover, select, and assemble specialized teams of AI agents. It supports structured agent collections across different domains (e.g., Engineering, Marketing). Users select multiple roles for a specific task, and the skill launches them in parallel, synthesizing their independent findings into a unified report, including consensus and conflict analysis.

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

This skill helps discover natural groupings within a large collection of semantic embeddings using the `ruvector` tool. It employs graph-based algorithms (Spectral/Louvain) to cluster code or data, revealing underlying themes, identifying outliers, and organizing vast vector sets. Ideal for analyzing codebases or large datasets to understand relationships between entries.

A comprehensive guide for authors targeting the ACM SIGIR conference on Information Retrieval. This skill helps determine the venue fit, structure the manuscript narrative, and ensure the research meets the high standards expected by top-tier IR reviewers. It covers core topics like search, ranking, recommendation, and the necessary evidence bar (e.g., strong baselines, test collections) for successful submission.

This guide teaches users how to transform a collection of historical facts and sources into a sustained, contestable, and nuanced academic argument. It focuses on establishing a clear thesis, defining the stakes, building evidence chains, and proactively addressing counter-arguments, moving beyond mere description to provide genuine scholarly contribution.

This guide provides detailed instructions for elevating academic prose from standard "lab-report" style to the sophisticated narrative craft expected by top-tier journals. It covers structuring the argument, maintaining theoretical focus, refining voice (process vs. variance), and perfecting the narrative arc to ensure the work reads as a compelling intellectual story, not just a collection of findings. Use this when your theory and analysis are settled, but the writing feels flat or dense.