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找到 1470 个相关结果 / 监控与排障
软件工程 / 部署发布
deployment-procedures
deployment-procedures
Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.
软件工程 / 诊断修复
debug
debug
Debug package usage guide. Use when adding debug logging, understanding log namespaces, or implementing debugging features. Triggers on debug logging requests…
软件工程 / 诊断修复
nestjs-testing-expert
nestjs-testing-expert
Testing patterns for NestJS apps using Jest, covering unit, integration, and e2e tests.
软件工程 / 诊断修复
flutter-networking
flutter-networking
Implement, fix, debug, review, or refactor Flutter networking code for HTTP/REST APIs, WebSocket realtime flows, authentication and token refresh, request headers, timeouts, retries, JSON parsing, caching, background isolates, repositories, services, and adaptation to existing http, Dio, Retrofit, Chopper, or custom API clients. Use when asked to add network requests, investigate network errors, harden API clients, handle auth, or validate Flutter network behavior.
软件工程 / 诊断修复
observability-service-health
observability-service-health
Assess APM service health using SLOs, alerts, ML, throughput, latency, error rate, and dependencies. Use when checking service status, performance, or when the user asks about service health.
软件工程 / 诊断修复
prompt-library
prompt-library
A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best…
软件工程 / 诊断修复
frontend-patterns
frontend-patterns
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
软件工程 / 诊断修复
jupyter-notebook-writing
jupyter-notebook-writing
Write Milvus application-level Jupyter notebook examples using a Markdown-first workflow with jupyter-switch for format conversion.
软件工程 / 诊断修复
AI 智能体架构师
ai-agents-architect
精通设计和构建自主 AI 智能体。掌握工具使用、记忆系统、规划策略和多智能体编排。使用场景:构建…
软件工程 / 诊断修复
llm-app-patterns
llm-app-patterns
Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices.
软件工程 / 诊断修复
lossless-claw
lossless-claw
Configure, diagnose, and use lossless-claw effectively in OpenClaw, with emphasis on key settings, summary health, and recall-tool usage.
软件工程 / 诊断修复
pytorch-lightning
pytorch-lightning
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from…
软件工程 / 诊断修复
rhwp-advanced
rhwp-advanced
使用上游 rhwp Rust CLI 调试 HWP 布局、转储文档 IR、对比版本、提取缩略图,以及解锁只读 HWP……
软件工程 / 诊断修复
brains-trust
brains-trust
Get a second opinion from leading AI models on code, architecture, strategy, prompting, or anything. Queries models via OpenRouter, Gemini, or OpenAI APIs. Supports single opinion, multi-model consensus, and devil's advocate patterns. Trigger with 'brains trust', 'second opinion', 'ask gemini', 'ask gpt', 'peer review', 'consult', 'challenge this', or 'devil's advocate'.
软件工程 / 诊断修复
nestjs-expert
nestjs-expert
Nest.js framework expert specializing in module architecture, dependency injection, middleware, guards, interceptors, testing with Jest/Supertest,…
软件工程 / 诊断修复
parallel-agents
parallel-agents
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires…
软件工程 / 诊断修复
debugger
debugger
Advanced debugging specialist for diagnosing and resolving code issues. Use when user encounters bugs, errors, unexpected behavior, or mentions debugging.
软件工程 / 诊断修复
nextjs-best-practices
nextjs-best-practices
Next.js App Router principles. Server Components, data fetching, routing patterns.
软件工程 / 诊断修复
implement
implement
Use this skill when writing code, building features, fixing bugs, refactoring, or any multi-step implementation work. Activates on mentions of implement, build…
软件工程 / 诊断修复
firecrawl-scraper
firecrawl-scraper
Convert websites into LLM-ready data with Firecrawl API. Features: scrape, crawl, map, search, extract, agent (autonomous), batch operations, and change tracking. Handles JavaScript, anti-bot bypass, PDF/DOCX parsing, and branding extraction. Prevents 10 documented errors. Use when: scraping websites, crawling sites, web search + scrape, autonomous data gathering, monitoring content changes, extracting brand/design systems, or troubleshooting content not loading, JavaScript rendering, bot detection, v2 migration, job status errors, DNS resolution, or stealth mode pricing.