'db' 검색 결과

Prepare and submit Superset bug reports, feature requests, or general feedback. It checks documentation first, organizes relevant details into a concise draft, and lets the user choose private submission or a public GitHub issue before sending.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Report a Superset bug with reproduction steps
• Explain a feature request and its purpose
• Send private feedback to the Superset team

Helps reduce GPU memory use by loading large language models in 4-bit or 8-bit formats, a technique called quantization. Covers bitsandbytes configuration, memory checks, QLoRA fine-tuning, and training with memory-saving optimizers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Load a larger model within available GPU memory
• Compare 4-bit and 8-bit quantization settings
• Fine-tune a quantized model with QLoRA

Continue Python tasks when sandbox execution fails by saving code as a script and running it through run_shell. The workflow covers dependencies, execution checks, and output verification for PDFs, image processing, data analysis, and file operations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuing Python tasks after sandbox initialization failures
• Generating PDFs from a saved script
• Running image processing or data analysis through the shell

Move Python execution to saved script files when execute_code_sandbox repeatedly fails or becomes unstable. The skill covers writing single or multiple files, running them through run_shell, inspecting outputs and errors, and removing temporary scripts afterward.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Switch execution methods after repeated sandbox failures
• Run Python code split across multiple files
• Process JSON input and write CSV output

Recover Python tasks when execute_code_sandbox fails with errors or timeouts. Install required packages, run the code through run_shell, and inspect messages and generated files to check the result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resuming Python tasks after sandbox failures
• Installing missing packages before execution
• Creating a Word document through shell execution

Run Python code directly on the host when repeated e2b sandbox failures block execution. The skill explains saving scripts, launching them through the shell, and checking outputs when an isolated environment is unnecessary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume Python work after repeated e2b errors
• Run a saved script to create an Excel file
• Investigate sandbox timeouts and connection failures

Continue Python work when the code sandbox is unavailable by running scripts through run_shell. The workflow covers recognizing connection failures, installing required packages, reading and writing workspace files, and checking execution results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuing calculations during an e2b outage
• Running Python after a sandbox connection failure
• Processing and saving JSON through the shell

Continue Python tasks when the e2b sandbox, an isolated execution environment, is unavailable. Guides switching from execute_code_sandbox to run_shell, preparing dependencies, checking execution results, and saving intermediate data between calls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continue Python processing during an e2b service outage
• Run CSV summaries after sandbox connection failures
• Execute multiline Python scripts through run_shell

Set up NemoClaw, create an isolated sandbox for OpenClaw, and start the first agent conversation in a browser or terminal. Follow onboarding for model connections, optional search and messaging, and network policy settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install NemoClaw and create the first sandbox
• Configure a model connection during onboarding
• Prepare Windows with WSL 2 and Docker Desktop

Inspect platform support and configured restrictions for the Claude Code sandbox, which limits command access. Review writable paths, protected credential files, allowed network domains, and excluded commands. Recent violation log inspection is not yet implemented.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking sandbox settings before autonomous work
• Investigating restrictions behind blocked commands
• Reviewing allowed domains and file access

Prepare read-only PostgreSQL access for AI agents, including SQL files, protected connection settings, and checks that writes and sensitive-table reads fail. A human applies production database changes and agrees which tables agents must not access.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a read-only database account for agents
• Exclude tables containing secrets or personal data
• Verify that writes and restricted reads are blocked

Build or update the BlueBubbles channel plugin for Clawdbot. The skill explains code locations, existing helper functions, message delivery, connection checks, and webhook handling, which receives incoming messages and attachments through HTTP notifications.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building or updating the BlueBubbles channel plugin
• Implementing message delivery and connection checks
• Handling incoming messages and attachments through webhooks

Manage Slack conversations from Clawdbot using its configured bot token. Read, send, edit, or delete messages, add and inspect reactions, manage pinned items, and retrieve member information or the workspace’s custom emoji list.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Read recent channel messages
• Send or edit messages in channels and DMs
• Mark completed tasks with reactions

Azure Resource Manager SDK for Cosmos DB in .NET. Use for MANAGEMENT PLANE operations: creating/managing Cosmos DB accounts, databases, containers, throughput settings, and RBAC via Azure Resource Manager. NOT for data plane operations (CRUD on documents) - use Microsoft.Azure.Cosmos for that. Triggers: "Cosmos DB account", "create Cosmos account", "manage Cosmos resources", "ARM Cosmos", "CosmosDBAccountResource", "provision Cosmos DB".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Provisions, connects, migrates, and operates Amazon RDS for Db2. Applies when provisioning with IBM customer and site IDs (License Manager, BYOL, GovCloud), connecting over TLS, fixing SQL30082N after Secrets Manager rotation, migration from Db2 LUW (Linux, AIX, Windows, AS400) or z/OS mainframe (ADB2GEN, Q Replication), choosing code page/collation (EBCDIC, CCSID), S3 backup/restore, Multi-AZ and cross-region standby replicas, RDSADMIN procedures, customer-managed KMS BYOK, self-managed Active Directory Kerberos, Db2 audit to S3, minimum IAM, or colocation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Advises on Amazon RDS open-source engines (MySQL, MariaDB, PostgreSQL) for instance creation, upgrade planning, commitment pricing, proxy evaluation, and Blue/Green deployments. Handles any RDS MySQL, MariaDB, or PostgreSQL question, including create a production-ready RDS MySQL instance, provision an RDS PostgreSQL database, run the RDS upgrade advisor for my RDS MySQL instance, what are my upgrade options, upgrade RDS MariaDB from 10.6 to the latest version, should I buy reserved instances or a savings plan for db.r7g.2xlarge RDS MySQL, change a VARCHAR to INT column on RDS MySQL 8.0 with Blue/Green, and does RDS Proxy help when PgBouncer already runs in transaction mode. Covers instance creation with production best practices, describe-db-instances and describe-db-engine-versions upgrade-target workflow, live prechecks via SSM or direct connection, RI versus DSP commitment pricing, RDS Proxy versus PgBouncer, and Blue/Green lifecycle with binlog replay compatibility.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dontbesilent 交互式学习。把一个课题拆成连续学习文章，根据用户在上一篇中的反馈调整下一篇的深度、角度和节奏。 触发方式：/dbs-learning、/dbs-learn、/交互式学习、「带我学一个课题」「继续下一篇」「根据我的反馈写下一篇」 Interactive learning workflow. Builds an adaptive sequence of learning articles based on user feedback. Trigger: /dbs-learning, /dbs-learn, "teach me a topic", "continue the next lesson"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use DuckDB from MATLAB via Database Toolbox (R2026a+) as a non-math operations engine on large tabular files (CSV/Parquet/JSON) and as a zero-config embedded database. Use when connecting to DuckDB, querying CSV, Parquet, and JSON files directly with SQL, reducing or profiling large data before MATLAB analysis, creating portable development databases, or installing DuckDB extensions. Triggers on: DuckDB, duckdb(), large CSV/Parquet/JSON, file too large for readtable, filter/aggregate at source, deduplicate, reduce before analysis, profile large file, persistent file import, analytical engine, SQL on CSV, SQL on Parquet, SQL on JSON, query CSV with SQL, query Parquet with SQL, run SQL on files, SQL queries on files, query files directly, SQL without database, in-process SQL.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use CloudBase document database Web SDK only for confirmed NoSQL collection work. Query, create, update, and delete document data; if the task mentions PostgreSQL / CloudBase PG / app.rdb(), route to postgresql-development instead.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

[Deprecated] Use when building frontend Web apps that talk to CloudBase Relational Database via @cloudbase/js-sdk – provides the canonical init pattern so you can then use Supabase-style queries from the browser. New environments should use PostgreSQL with app.rdb() — see postgresql-development skill instead.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CloudBase WeChat integration guide for Mini Program WeChat Pay, Mini Program virtual payment (虚拟支付, wx.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth, openid handling, payment callbacks, and CloudBase Integration Center generated functions. This skill should be used when users ask to add, debug, or extend WeChat payment, virtual payment, or official-account flows on CloudBase.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Post a comment (or a formal PR review) to a GitHub issue or pull request in mariadb-operator/mariadb-operator. Use whenever the user wants to publish something to GitHub for this repo — "comment on issue #123", "post this as a PR comment", "leave a note on #456", "reply on the PR" — and especially when they want the output of the mariadb-operator-pr-review skill delivered to GitHub instead of just shown in chat, e.g. "review PR #1234 and post it as a comment" or "post the review results to the PR". Always confirms the exact comment text with the user before publishing — never posts autonomously.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.