Skill UI

Guides authors through building Claude Code plugin skills by detailing required metadata, structure, resource types, and best practices for scripts, references, assets, and progressive disclosure so Claude can load workflows efficiently.

This skill provides an automated solution for transforming diverse, unstructured technical data sources—including documentation websites, GitHub repositories, and PDFs—into structured, actionable 'Claude AI skills.' It significantly streamlines the process of knowledge base creation, data structuring, and preparing large volumes of technical information for advanced AI applications.

This comprehensive guide details the process for upgrading the Speak SDK, migrating data between various language learning platforms (such as Duolingo or Babbel), and handling critical API version deprecations. It provides structured steps for version checking, dependency upgrades, and implementing complex data mapping logic to ensure a smooth transition to production-ready systems.

A specialized reverse-engineering skill designed to extract comprehensive functional and non-functional specifications from existing, undocumented, or legacy codebases. It operates by analyzing code structure, tracing data flows, and identifying observable behaviors. The output is structured using EARS (Easy Approach to Requirements Syntax), providing clearer requirements documentation, architectural diagrams, and dependency maps for onboarding or system modernization.

This skill provides detailed guidance on authoring effective `specs.md` files for autonomous development workflows. It teaches users how to clearly define sprint goals, establish explicit scope boundaries (In/Out of Scope), and configure rigorous testing requirements (QA, UI Testing). This ensures that agentic development remains focused and prevents scope creep.

Structured pre-PR verification loop for Spring Boot projects that runs fast-build checks, static analysis, tests with coverage, security scans, formatting gates, and diff reviews to catch issues before deployment.

This skill simulates a complete, multi-agent software development lifecycle following the principles of Agile and Scrum. It guides the project through six distinct, iterative phases: Architectural Planning, Parallel Implementation, Comprehensive Testing (Unit/E2E), Review, and Finalization. The process uses a convergent diffusion model, refining specifications and resolving conflicts across multiple specialized agents until the project converges and is deemed complete.

Automates SSH key manager workflows within DevOps Basics, offering guided best practices, code/config generation, and validation for foundational workflows such as git, containers, CI/CD, and infrastructure.

This skill generates a comprehensive, investor-ready business case document. It guides users through creating detailed sections covering market analysis (TAM/SAM/SOM), solution development, competitive positioning, financial projections, go-to-market strategy, and team structure. It is essential for founders undergoing fundraising or strategic corporate planning.

Build comprehensive 3-5 year financial models essential for startup planning and fundraising. This skill meticulously projects revenue using cohort-based methods, details cost structures (COGS, S&M, R&D, G&A), plans headcount, and performs detailed cash flow analysis. It calculates critical metrics like LTV, CAC, and burn rate, providing three scenarios (conservative, base, optimistic) for robust strategic decision-making.

This skill guides users through a comprehensive, structured process for calculating and analyzing market opportunities for startups. It provides detailed methodologies, including bottom-up and top-down market sizing, to determine the Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM). Use this when developing business plans, conducting feasibility studies, or assessing market potential for a new product or service.

This guide provides a comprehensive framework for early-stage companies to track, calculate, and optimize their key performance indicators (KPIs). It covers best practices for various startup business models, guiding teams from the initial seed stage through to Series A funding. Use this skill when developing, analyzing, or refining a structured startup metrics strategy.