dify은(는) 무엇을 하나요?
Production-ready platform for agentic workflow development.
에이전트 기반 워크플로우 개발을 위한 프로덕션 준비 완료 플랫폼입니다.
langgenius/dify는 에이전트 기반 워크플로우를 개발, 배포 및 관리할 수 있는 프로덕션 환경에 즉시 도입 가능한 플랫폼입니다. 이 스킬은 개발자와 AI 에이전트 사용자가 복잡한 다단계 에이전트 워크플로우를 시각적 인터페이스나 코드 기반으로 설계하고 실행할 수 있도록 지원합니다. langgenius/dify는 LLM 기반 에이전트의 오케스트레이션, 도구 통합, 상태 관리 및 오류 처리를 포함한 엔터프라이즈급 기능을 제공하여 생산성을 극대화합니다. Claude Code, Cursor, Codex와 같은 주요 AI 에이전트 플랫폼과 호환되며, 사용자는 자연어 명령만으로도 복잡한 에이전트 워크플로우를 신속하게 구축하고 반복할 수 있습니다.
npx skills add langgenius/difyInstalled? Explore more 연구 & 데이터 분석 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Production-ready platform for agentic workflow development.
This repo contains 4 individual skills — each has its own dedicated page.
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.
Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction, or when `pnpm analyze-component` warns to refactor before testing; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.
Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.
Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
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.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.