adversarial-spec
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
发现 研究与调研 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
21 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for AI agents w...
WooCommerce REST API - products, orders, customers, webhooks
AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling
Multi-person projects - shared state, todo claiming, handoffs
Web UI - glassmorphism, Tailwind, dark mode, accessibility
User experience flows - journey mapping, UX validation, error recovery
Firebase Firestore, Auth, Storage, real-time listeners, security rules
Shopify app development - Remix, Admin API, checkout extensions
Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
Mandatory code reviews via /code-review before commits and deploys
Express/Hono with Supabase and Drizzle ORM
SEO and AI discovery (GEO) - schema, ChatGPT/Perplexity optimization
AI-first application patterns, LLM testing, prompt management
Atomic commits, PR size limits, commit thresholds, stacked PRs
Centralized API key management from Access.txt
Python development with ruff, mypy, pytest - TDD and type safety
Reddit API with PRAW (Python) and Snoowrap (Node.js)
Medusa headless commerce - modules, workflows, API routes, admin UI
Schema awareness - read before coding, type generation, prevent column errors
Technical SEO - robots.txt, sitemap, meta tags, Core Web Vitals
Next.js with Supabase and Drizzle ORM
Analyze existing repositories, maintain structure, setup guardrails and best practices
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。