“db”的搜索结果

将视频和音频导入VideoDB，按语音或画面搜索场景并制作片段，还可添加字幕和音轨、调整画面比例、设置直播事件通知，以及记录和总结桌面操作。

• 按语音或画面查找并截取场景
• 添加字幕、背景音乐或配音
• 调整视频分辨率和画面比例

检查Perl代码中的输入处理、文件操作、外部命令、SQL及网页输出，依据具体示例和检查清单识别不安全写法，并调整为更安全的实现。

• 检查Perl输入验证
• 检查文件操作与命令执行
• 防范DBI查询中的SQL注入

检查MySQL和MariaDB的表设计与慢SQL，审视索引、更新事务、连接管理和复制延迟，整理具体修改建议与验证步骤，并考虑权限和通信保护。

• 设计数据库表与索引
• 调查慢SQL和死锁
• 审查大型生产表的变更

使用AgentDB实现按含义查找文档的搜索功能，将文档存储、相似度搜索与属性筛选结合起来，构建检索相关资料并据此回答问题的系统。

• 根据检索到的资料生成回答
• 为知识库添加语义搜索
• 查找内容相似的文档

使用AgentDB实现按含义查找文档的搜索功能，将文档存储、相似度搜索与属性筛选结合起来，构建检索相关资料并据此回答问题的系统。

• 根据检索到的资料生成回答
• 为知识库添加语义搜索
• 查找内容相似的文档

创建使用经验数据的AgentDB学习插件，从选择适合用途的学习方法，到记录行动与奖励，再到模型训练和评估，完成相应实现。

• 利用历史经验训练智能体
• 实现游戏或路线选择决策
• 汇集多个智能体的经验进行学习

Helps organize biological datasets and models in LaminDB. Covers data registration, table validation, annotation with standardized biological terms, metadata searches, and tracking analysis inputs and outputs so researchers can preserve the context needed to repeat their work.

中文简介正在准备中。当前显示英语简介。

• Register and organize biological datasets
• Validate DataFrame or AnnData metadata
• Standardize annotations with biological vocabularies

Implement Python services for Azure Cosmos DB NoSQL with guidance for authentication, data models, database operations, and tests. Separate business logic from storage access, validate data access permissions, and use reusable templates for consistent implementation.

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• Adding Cosmos DB storage to a FastAPI application
• Separating database access from business logic
• Configuring Azure and local emulator authentication

Implement Azure Cosmos DB document operations in Rust using its NoSQL SDK. The skill covers authentication, database and container clients, creating and reading records, replacing or patching fields, and deleting items with partition keys.

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• Connecting a Rust application to Azure Cosmos DB
• Creating and reading documents
• Replacing documents or patching selected fields

Inspect browser storage and caches in a CTF sandbox to explain changes in authentication, page rendering, or requests. Compare clean and modified states, then document the smallest sequence that reproduces the relevant behavior.

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• Investigating login behavior affected by stored browser state
• Explaining page differences caused by caches
• Reproducing behavior with clean and modified storage

Develop time-series and event-data solutions with TimescaleDB, an extension for PostgreSQL. The skill provides organized references for installation, time-based tables, ongoing aggregate calculations, compression, and performance troubleshooting.

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• Learn how to install and use TimescaleDB
• Design tables for time-series and event data
• Implement time-bucket and continuous aggregates

Design hybrid search on AlloyDB by combining meaning-based search, keywords, and SQL filters. Turn requirements into architecture diagrams, database setup scripts, deployment guidance, and validation plans for search applications on Google Cloud.

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• Designing product search with meaning-based matching and attribute filters
• Planning result reranking and AI quality checks
• Preparing AlloyDB and Cloud Run deployment guidance

Manage separate local development environments for multiple branches using the project's pnpm worktree CLI. Each environment has its own ports and dependencies, with options to share Supabase or isolate database changes for testing.

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• Running and testing multiple branches at the same time
• Testing database migrations in a separate database
• Reusing an existing worktree for related fixes

Manage isolated working environments in OpenShell using its command-line tool. Register gateways, create and connect to sandboxes, configure credential providers, and reuse workload templates with shared images, environment settings, and computing resources.

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• Create and connect to a sandbox
• Configure and refresh provider credentials
• Inspect and import provider profiles

Run Python code and Shell commands in an isolated Cube Sandbox environment. The skill covers file access, host directory mounting, network restrictions, and pausing and resuming execution while preserving the sandbox's memory state.

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• Running untrusted code in an isolated environment
• Reading and writing sandbox files
• Restricting outbound network access

Build, test, and format CubeSandbox components using make targets and a Docker builder. Also covers the web dashboard’s development workflow, API type synchronization, and troubleshooting for missing services, outdated build tools, and environment requirements.

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• Build all components or a specific CubeSandbox component
• Run component tests or a single targeted test
• Format Go and Rust code and lint the web interface

Query EpiGraphDB for trait classifications, related literature, genetic evidence, and gene–drug relationships. Get concise summaries with limited result counts, or save the complete response when you need the underlying data.

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• Find ontology terms for a disease or trait
• Look up drugs associated with a gene
• Summarize literature and genetic evidence

Send feedback about a Weave Router model choice or model performance. A bundled script passes the feedback to the router for recording, and the agent then reports the router’s response.

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• Comment on a router model choice
• Report feedback on model performance
• Send feedback using the short `$rf` command

Create and validate mirrord.json settings for isolated database copies used in development and testing. Configure connection sources, copying scope, migrations, and authentication so experiments can run without affecting shared databases.

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• Preparing isolated databases for development and testing
• Choosing which schemas and data to copy
• Configuring connection sources and IAM authentication

Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.

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• Add conversation history to a chat system
• Remember user preferences across sessions
• Reuse patterns from successful interactions

Build advanced AgentDB workflows with database synchronization, multiple databases, and search that combines meaning with attribute filters. Covers similarity measures, diverse search results, and operational patterns for distributed AI applications.

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• Sharing stored patterns across multiple AgentDB instances
• Filtering semantic search by date or category
• Separating knowledge and conversation databases

Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android, Flutter, React Native). Covers UI (页面, 界面, 表单, dashboard, prototype, 原型); auth (登录, 注册, OAuth, publishable key); databases (NoSQL 文档数据库, MySQL 关系型数据库, PostgreSQL/CloudBase PG, app.rdb(), queryPgDatabase/managePgDatabase, CRUD, security rules); 云函数/cloud functions (serverless, scf_bootstrap); CloudRun (云托管, Dockerfile); 云存储; built-in AI (内置大模型, AI 对话, streaming, 流式输出, 图片生成, generateText, streamText, createModel, generateImage, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, Token Credits 资源包, 小程序成长计划); third-party/custom model onboarding (第三方大模型接入, 大模型调用, LLM API); AI agent (智能体, AG-UI, LangGraph); ops troubleshooting (巡检, 诊断, 日志); spec workflow (需求文档, 技术方案, requirements, tasks.md). Do NOT use for non-CloudBase projects, pure frontend without CloudBase, or self-hosted backends without CloudBase.

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SKL_plc_db_sync（旧 ai-plc-db-sync）- AI-PLCのローカルDBとNotion DBをpull、push、sync、statusで双方向同期する。

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ScalarDB Analytics設計エージェント - ScalarDB Analyticsを使用した分析基盤の設計。Apache Sparkベースの分析クエリ、マルチDB横断分析を策定。/design-scalardb-analytics [対象パス] で呼び出し。

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