quality-skill
建筑质量检查。验证代码语法、检查结构问题、确保细节完整。
Discover Blockchain skills, compare source repositories and read the instructions for each workflow.
建筑质量检查。验证代码语法、检查结构问题、确保细节完整。
创建建筑蓝图。规划尺寸、材料、组件和构建顺序。
添加装饰元素。包括植被、家具、灯光、做旧效果。
建筑风格知识库。构建新建筑前先读取相关风格文档,了解正确的材料、结构和设计原则。
分析现有建筑代码和场景。检查结构问题、计算边界、为新建筑定位。
Review workflow for AI/LLM output usage to prevent over-trust, injection, and unsafe automation.
Workflow to review authentication and authorization flows (sessions, tokens, RBAC/ABAC) and produce fix guidance.
Process for tightening input validation, canonicalization, and safe parsing to prevent injection and logic abuse.
Triage workflow for dependency vulnerabilities: determine reachability, impact, and safe upgrade/remediation plan.
Workflow for preventing secret leaks and sensitive logging (PII/credentials) and adding redaction defaults.
Standard validation checklist to prove a security fix works and doesn’t regress behavior.
Repeatable process for an application security code review that produces prioritized findings and fix guidance.
Lightweight, repeatable threat modeling for a feature or service with prioritized mitigations.
Scaffolding, boilerplate generation, and project templates. Use for generating components, modules, APIs, and project structures.
AI-assisted code review for bugs, style, performance, and security issues. Use this skill when reviewing code changes, pull requests, or when asked to check code quality.
Security best practices including CSP, XSS prevention, input validation, and secrets management. Use when reviewing security or hardening applications.
Git workflows including branching, merging, PR review, and conflict resolution. Use when managing version control, reviewing changes, or fixing merge conflicts.
Systematic debugging workflow to find and fix bugs efficiently. Use this skill when troubleshooting errors, investigating issues, or when code doesn't work as expected.
React Native and Flutter patterns for cross-platform mobile apps. Use for mobile UI, navigation, and platform-specific code.
LLM prompt optimization and design patterns. Use for crafting effective prompts, chain-of-thought, and AI integration.
Implement structured logging with log levels, formatting, and debugging. Use when adding logs to applications or debugging issues.
Design and orchestrate multi-agent AI systems with knowledge harvesting, agent collaboration, and learning loops. Use when working on PSI Engine or similar autonomous agent projects.
AI-powered code refactoring and modernization. Use this skill for code cleanup, technical debt reduction, framework migration, and improving code quality.
Database schema design, migrations, query optimization, and ORM best practices. Use for database setup, performance tuning, and data modeling.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.