requirements-analysis은(는) 무엇을 하나요?
요구사항 문제를 진단하고 실제 필요와 제약 조건을 발견하도록 안내합니다.
요구사항 문제를 진단하고 실제 필요와 제약 조건을 발견하도록 안내합니다.
이 스킬은 소프트웨어 개발 및 AI 에이전트 환경에서 요구사항 분석과 관련된 문제를 체계적으로 진단하고, 실제 요구와 제약 조건을 발견하도록 돕습니다. 주로 Claude Code, Cursor, Codex와 같은 AI 코딩 어시스턴트와 함께 사용되며, 사용자가 명확하지 않은 요구사항을 정의하거나, 숨겨진 필요를 파악하고, 프로젝트의 제약을 식별하는 데 유용합니다. SKILL.md 문서에 따르면, 이 스킬은 요구사항을 구조화된 방식으로 분석하여 모호함을 줄이고, 이해관계자 간의 의사소통을 개선하며, 효율적인 개발 프로세스를 촉진합니다. 또한, 요구사항 엔지니어링 초기 단계에서 발생할 수 있는 일반적인 문제들을 사전에 해결할 수 있도록 가이드를 제공합니다.
npx skills add https://github.com/jwynia/agent-skills/tree/main/skills/requirements-analysisInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
요구사항 문제를 진단하고 실제 필요와 제약 조건을 발견하도록 안내합니다.
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.