O que requirements-analysis faz?
Diagnostica problemas de requisitos e orienta a descoberta de necessidades e restrições reais.
Diagnostica problemas de requisitos e orienta a descoberta de necessidades e restrições reais.
Esta skill auxilia na análise e refinamento de requisitos de software, identificando ambiguidades, inconsistências e lacunas nas especificações. Ela é útil para engenheiros de software, product managers e analistas de negócios que desejam garantir que os requisitos estejam completos, claros e alinhados com as necessidades reais dos stakeholders. A skill pode ser utilizada em plataformas como Claude Code, Cursor ou Codex, e funciona processando a descrição do problema ou requisito fornecido pelo usuário, aplicando técnicas de questionamento socrático e frameworks de análise para revelar restrições ocultas e necessidades não explicitadas. O objetivo é reduzir retrabalho e aumentar a qualidade do produto final ao validar os requisitos antes do início do desenvolvimento.
npx skills add https://github.com/jwynia/agent-skills/tree/main/skills/requirements-analysisInstalled? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Diagnostica problemas de requisitos e orienta a descoberta de necessidades e restrições reais.
This repo contains 5 individual skills — each has its own dedicated page.
Create distinctive, production-grade frontend interfaces with high design quality. Provides analysis tools for auditing existing designs and generation tools for creating color palettes, typography systems, design tokens, and component templates. Supports React, Vue, Svelte, and vanilla HTML/CSS. Use when building web components, pages, or applications. Keywords: design, UI, frontend, CSS, components, palette, typography, tokens, accessibility.
Guide AI agents through Godot 4.x GDScript coding best practices including scene organization, signals, resources, state machines, and performance optimization. This skill should be used when generating GDScript code, creating Godot scenes, designing game architecture, implementing state machines, object pooling, save/load systems, or when the user asks about Godot patterns, node structure, or GDScript standards. Keywords: godot, gdscript, game development, signals, resources, scenes, nodes, state machine, object pooling, save system, autoload, export, type hints.
Create and manipulate PDF files programmatically. Use when the user needs to generate PDFs, fill PDF forms, extract PDF content, add watermarks/overlays, or merge documents. Supports both template-based generation (form filling, overlays) and from-scratch creation. Keywords: PDF, document, form, fillable, merge, watermark, extract, text, report.
Design and evaluate presentations that communicate effectively. Use when designing a presentation, creating slides, getting presentation feedback, structuring a talk, or reviewing slides. Keywords: presentation, slides, talk, PowerPoint, Keynote, reveal.js.
Search the web using Tavily API for high-quality, AI-optimized results with advanced filtering options. Use when you need structured search results, domain filtering, relevance scores, or AI-generated answer summaries. Requires TAVILY_API_KEY. Keywords: tavily, advanced search, filtered search, domain filtering, relevance scoring.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.