tmux
Terminal orchestration via tmux. Use for long-running processes, server management, parallel terminal sessions, and background task monitoring.
浏览 opzero1 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
44收录技能的仓库 Stars 合计
44仓库 Forks
0平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Terminal orchestration via tmux. Use for long-running processes, server management, parallel terminal sessions, and background task monitoring.
Modern backend patterns, API design, OWASP security checklist, testing pyramid. For Node.js, Python, Go backends.
Internal logic and data flow philosophy (The 5 Laws of Elegant Defense). Apply to backend, hooks, state management, and any code where functionality matters.
System architecture design for scalable, maintainable systems. Includes architecture diagrams, design patterns, tech stack decisions, and dependency analysis.
Comprehensive NestJS framework mastery with Drizzle ORM, TypeORM, Prisma, BullMQ queues, and 40 best practice rules. Use for NestJS applications, APIs, authentication, database integration, queue processing, mi...
Guide for creating MCP (Model Context Protocol) servers in TypeScript or Python. Use when building MCP servers to integrate external APIs or services.
HTTP client patterns for axios, ky, and native fetch. Detect which client the project uses and follow its patterns. Use for API calls, request/response interceptors, error handling, retries, and TypeScript inte...
Schema validation patterns for Zod and class-validator in NestJS. Detect which library the project uses and follow its patterns. Use for DTO validation, request/response validation, custom validators, and TypeS...
Token optimization and context window management strategies. Load for long sessions, complex tasks, or when approaching context limits.
Enforce cost-aware MCP usage. Use when a task might trigger heavy external tools, web search, or broad context expansion. Prevents token burn by ensuring MCPs are only used when local context is insufficient.
Remove AI writing patterns from text. Based on Wikipedia's AI Cleanup research with 24 pattern categories including inflated symbolism, promotional language, AI vocabulary, and formatting issues.
PostgreSQL and MongoDB patterns - queries, indexing, performance optimization, migrations.
Problem-solving decision tree for when you're blocked. Matches stuck-type to solution strategy.
MANDATORY before creative work - exploring user intent, requirements and design before implementation. Use for feature design, component planning, or any creative development work.
Git operations mastery. Atomic commits, rebase/squash, history search (blame, bisect, log -S). Triggers on 'commit', 'rebase', 'squash', 'who wrote', 'when was X added', 'find the commit that'.
Visual & UI philosophy (The 5 Pillars of Intentional UI). Apply to styling, layout, colors, typography, animations. Avoid "AI slop" aesthetics.
Find documentation using llms.txt standard, context7.com, and repomix. Best practices for library research.
Forces agents to run verification commands and show evidence before claiming completion. Prevents "it should work" without proof.
Strunk's Elements of Style for clear, concise prose. Use for documentation, commit messages, error messages, UI text, or any human-readable content.
Comprehensive code review methodology. 4 layers (Correctness, Security, Performance, Style), severity classification, 80% confidence threshold.
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。