unju-ai
Official@unju-ai
Enterprise-grade engineering framework providing standardized architectural patterns, rigorous testing protocols, and specialized domain-specific development guidelines for modern software stacks.
Agent Skills by unju-ai
Showing 59 vetted skills indexed across 1 GitHub repositories.
unju-aiinvestor-outreach
Generate personalized cold emails, warm intro requests, and follow-ups for fundraising.
unju-aimarket-research
Conduct market research with source-attributed, decision-oriented summaries.
unju-aiarticle-writing
Generate long-form articles, guides, and newsletters with a consistent voice.
unju-aifrontend-slides
Generate zero-dependency HTML presentations from scratch or convert PowerPoint files.
unju-aicontent-engine
Adapt source assets into platform-native content for social media channels.
unju-aiinvestor-materials
Generate and refine investor-facing documents with consistent business data.
unju-aicoding-standards
Enforce coding standards and best practices for TypeScript, JavaScript, React, and Node.js.
unju-aieval-harness
Implement Eval-Driven Development with capability and regression evals.
unju-aibackend-patterns
Provide backend architecture patterns for Node.js, Express, and Next.js API routes.
unju-aiapi-design
Design REST API patterns for resource naming, HTTP methods, and status codes.
unju-aie2e-testing
Implement Playwright E2E testing patterns with Page Object Model and CI/CD configuration.
unju-aiverification-loop
Automate build, type, lint, test, security, and diff verification phases.
unju-aitdd-workflow
Enforce Test-Driven Development with tests before implementation and 80% coverage.
unju-aifrontend-patterns
Guide React and Next.js frontend development with TypeScript patterns.
unju-aisecurity-review
Review code against a security checklist covering vulnerabilities and secure coding practices.
unju-aistrategic-compact
Suggest manual context compaction at logical task intervals with configurable thresholds.
unju-aidjango-security
Secure Django web applications against common vulnerabilities with production settings and code snippets.
unju-aigolang-patterns
Provide idiomatic Go patterns for error handling, concurrency, and package structure.
unju-aidjango-patterns
Provide Django development patterns for project structure, settings, models, APIs, and performance.
unju-aipython-testing
Create pytest test strategies with TDD, fixtures, mocking, and parametrization.
unju-aiプロンプトガイドラインスキル（例）
Define project-specific skills with architecture, coding, testing, and deployment guidelines.
unju-aiiterative-retrieval
Refine context retrieval for sub-agents using a four-phase iterative loop.
unju-aispringboot-patterns
Guide Spring Boot backend development with REST APIs, JPA, and validation.
unju-aipostgres-patterns
Provide PostgreSQL query optimization, schema design, indexing, and security patterns.
Frequently Asked Questions About unju-ai
FAQPage SchemaWhat specific engineering tasks are enabled by these capabilities?▼
These capabilities enable standardized architectural enforcement, automated test-driven development, security vulnerability scanning, and complex database schema optimization. They provide structured patterns for backend services, frontend state management, and on-device model integration, ensuring consistent code quality and operational reliability across diverse technology stacks.
Which technical personas benefit most from these patterns?▼
Senior software engineers, backend architects, and DevOps leads benefit from these patterns. The framework is designed for teams requiring strict adherence to coding standards, robust testing coverage, and secure deployment configurations across environments like Spring Boot, Django, and Swift-based iOS systems.
What are the prerequisites for implementing these development patterns?▼
Implementation requires an existing environment configured for Claude Code or similar context-aware development interfaces. Users must have foundational knowledge of their target language—such as Java 17+, Go, or Swift 6.2—and access to standard build systems like CMake, Wrangler, or Playwright for verification phases.