mongodb-query-optimizer 是做什麼的？
協助 MongoDB 查詢最佳化與索引建立。僅在用戶詢問最佳化或效能問題時使用："如何最佳化這個查詢？"、"如何對此建立索引？"、"為什麼這個查詢很慢？"、"可以幫我解決慢查詢嗎？"、"我的集群上有哪些慢查詢？"等。除非用戶要求效能或索引協助，否則請勿針對一般的 MongoDB 查詢撰寫而叫用。偏好以建立索引作為最佳化策略。請在可用時使用 MongoDB MCP。
協助 MongoDB 查詢最佳化與索引建立。僅在用戶詢問最佳化或效能問題時使用，例如：「如何最佳化這個查詢？」、「如何對此建立索引？」、「為什麼這個查詢很慢？」等。
此技能專門協助開發者最佳化 MongoDB 查詢效能並建立有效的索引。當用戶遇到慢查詢、需要索引建議或想了解集群中哪些查詢拖慢效能時，即可自動觸發。技能偏好以建立索引作為主要最佳化策略，並在可用時優先使用 MongoDB MCP 工具來獲取即時資料。它不應被用於一般的查詢撰寫，除非用戶明確要求效能或索引相關協助。適用於 Cursor、Claude Code 等支援技能機制的 AI 編碼代理。
npx skills add https://github.com/mongodb/agent-skills/tree/main/skills/mongodb-query-optimizerInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
協助 MongoDB 查詢最佳化與索引建立。僅在用戶詢問最佳化或效能問題時使用："如何最佳化這個查詢？"、"如何對此建立索引？"、"為什麼這個查詢很慢？"、"可以幫我解決慢查詢嗎？"、"我的集群上有哪些慢查詢？"等。除非用戶要求效能或索引協助，否則請勿針對一般的 MongoDB 查詢撰寫而叫用。偏好以建立索引作為最佳化策略。請在可用時使用 MongoDB MCP。
This repo contains 5 individual skills — each has its own dedicated page.
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.
Guide users through configuring key MongoDB MCP server options. Use this skill when a user has the MongoDB MCP server installed but hasn't configured the required environment variables, or when they ask about connecting to MongoDB/Atlas and don't have the credentials set up.
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.