data-model-creation
Professional rules for AI-driven data modeling and creation. Use this skill when users need to create and manage MySQL databases, design data models using Mermaid ER diagrams, and implement database schemas.
发现 数据与 AI 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。
Professional rules for AI-driven data modeling and creation. Use this skill when users need to create and manage MySQL databases, design data models using Mermaid ER diagrams, and implement database schemas.
Complete guide for CloudBase Auth v2 using Web SDK (@cloudbase/js-sdk@2.x) - all login flows, user management, captcha handling, and best practices in one file.
Web frontend project development rules. Use this skill when developing web frontend pages, deploying static hosting, and integrating CloudBase Web SDK.
CloudBase Run backend development rules (Function mode/Container mode). Use this skill when deploying backend services that require long connections, multi-language support, custom environments, or AI agent dev...
Update project documentation to reflect code changes (bug fixes, refactors, or new features). Provide concise, actionable edits to requirements, architecture, README, and related docs. Use this skill when code...
Clarify and structure the requirement first, then generate an implementation plan for the requirement; Use this skill when user submits a requirement to add new functionalities.
Execute an outlined plan step by step, tracking progress and updating the status of each step as you go. Use this skill whenever you need to execute an outlined plan.
Review submitted files, folders, diffs, or commits and provide clear, actionable, and prioritized feedback. Use this skill whenever a user requests a code review.
Clarify the scope, objectives, and constraints of the refactor request first, then generate a refactoring plan for the refactor request. Use this skill when the user submits a refactor request to refactor exist...
reverse engineering the codebase to answer user's question. Use this skill whenever a user submits a question.
First, determine the root cause of the reported bug. Then, create a clear, step-by-step plan for the bug fixing. Use this skill whenever a user reports a bug.
Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.
Guide implementation of production-ready Python RAG components by enforcing correct abstractions, error handling, observability, and safety at coding time.
Review an existing Python RAG codebase against an explicit RAG architecture document and produce a production-readiness backlog with priorities, rationale, and execution guidance.
Use this skill to validate code changes pass all checks (format, lint, build, tests). Runs validation script and iteratively fixes failures. Invoke before finalizing PRs or after making code changes.
Rust ownership, borrowing, and lifetimes
Python security patterns and OWASP vulnerability detection
Rust performance optimization and zero-cost abstractions
Python type hints, mypy, Protocol, and static typing best practices
Rust async/await with Tokio and async patterns
Rust error handling with Result, Error trait, anyhow, thiserror
Python async/await patterns and asyncio best practices
Use this skill when performing code review on branch changes. Runs parallel CodeRabbit and architecture reviews, consolidates findings, and executes improvements. Invoke when reviewing code changes before final...
Rust Clippy lints and common fixes
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。