[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-mongodb-mongodb-schema-design-de":3,"guides-for-mongodb-mongodb-schema-design":531,"similar-k17aad80a1qbt1a308jev252m586m6z4-de":532},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":254,"isFallback":239,"parentExtension":259,"providers":317,"relations":321,"repo":323,"tags":528,"workflow":529},1778694408124.9631,"k17aad80a1qbt1a308jev252m586m6z4",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"MongoDB-Schemaentwurfsmuster und Anti-Muster. Verwenden Sie dies beim Entwerfen von Datenmodellen, Überprüfen von Schemata, Migration von SQL oder Beheben von Leistungsproblemen, die durch Schema-Probleme verursacht werden. Löst aus bei \"schema entwerfen\", \"einbetten vs. referenzieren\", \"MongoDB Datenmodell\", \"Schemaüberprüfung\", \"unbegrenzte Arrays\", \"eins-zu-viele\", \"Baumstruktur\", \"16MB Limit\", \"Schema validierung\", \"JSON Schema\", \"Zeitreihen\", \"Schema-Migration\", \"polymorph\", \"TTL\", \"Datenlebenszyklus\", \"Archivierung\", \"Index-Explosion\", \"unnötige Indizes\", \"Annäherungsmuster\", \"Dokumentenversionierung\".",{"claudeCode":12},"mongodb/agent-skills","MongoDB Schema Design","https://github.com/mongodb/agent-skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":237,"workflow":252},1778694408124.9634,"kn735s604n8pg617m5k0zeq4wx86mcy5","de",{"checks":20,"evaluatedAt":191,"extensionSummary":192,"features":193,"nonGoals":201,"practices":205,"prerequisites":209,"promptVersionExtension":211,"promptVersionScoring":212,"purpose":213,"rationale":214,"score":215,"summary":216,"tags":217,"tier":223,"useCases":224,"workflow":231},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,114,117,121,124,127,130,133,136,139,143,147,150,153,157,160,163,166,169,173,176,179,182,185,188],{"category":22,"check":23,"severity":24,"summary":25},"Praktische Nützlichkeit","Problemrelevanz","pass","Die Beschreibung identifiziert klar konkrete Probleme wie Schemaentwurf, Migration und Fehlerbehebung bei der Leistung als Schwerpunkt.",{"category":22,"check":27,"severity":24,"summary":28},"Einzigartiges Verkaufsargument","Der Skill bietet eine kuratierte Sammlung von Mustern und Anti-Mustern speziell für den MongoDB-Schemaentwurf, die über allgemeine Ratschläge hinausgeht und umsetzbare Anleitungen liefert, die an spezifische MongoDB-Verhaltensweisen und -Beschränkungen gebunden sind.",{"category":22,"check":30,"severity":24,"summary":31},"Produktionsbereitschaft","Der Skill bietet einen umfassenden Satz dokumentierter Muster, Anti-Muster und Überprüfungsschritte, der den Lebenszyklus von Schemaentwurf und -überprüfung abdeckt.",{"category":33,"check":34,"severity":24,"summary":35},"Umfang","Prinzip der einzigen Verantwortung","Der Skill konzentriert sich ausschließlich auf MongoDB-Schemaentwurfsmuster und -anti-muster, ohne unerwähnte Fähigkeiten.",{"category":33,"check":37,"severity":24,"summary":38},"Qualität der Beschreibung","Die Beschreibung spiegelt den Inhalt des Skills genau wider und umreißt klar seinen Zweck, seine Anwendungsfälle und spezifischen Auslöser.",{"category":40,"check":41,"severity":42,"summary":43},"Aufruf","Gezielte Werkzeuge","not_applicable","Dies ist ein Skill und kein MCP-Server und stellt keine Werkzeuge im herkömmlichen Sinne bereit.",{"category":45,"check":46,"severity":42,"summary":47},"Dokumentation","Konfigurations- & Parameterreferenz","Der Skill hat keine konfigurierbaren Parameter oder Optionen über seine Kernfunktionalität hinaus.",{"category":33,"check":49,"severity":42,"summary":50},"Benennung von Werkzeugen","Dies ist ein Skill und hat keine benutzerseitigen Werkzeuge mit Namen.",{"category":33,"check":52,"severity":42,"summary":53},"Minimale I/O-Oberfläche","Dies ist ein Skill und stellt keine Werkzeuge mit Parameterschemata oder Antwortformen bereit.",{"category":55,"check":56,"severity":24,"summary":57},"Lizenz","Nutzbarkeit der Lizenz","Die Lizenz ist Apache-2.0, eine permissive Open-Source-Lizenz, die klar in der Datei SKILL.md und LICENSE angegeben ist.",{"category":59,"check":60,"severity":24,"summary":61},"Wartung","Aktualität der Commits","Der letzte Commit war am 11. Mai 2026, was aktuell ist.",{"category":59,"check":63,"severity":42,"summary":64},"Abhängigkeitsmanagement","Der Skill scheint keine externen Abhängigkeiten zu haben.",{"category":66,"check":67,"severity":42,"summary":68},"Sicherheit","Geheimnisverwaltung","Der Skill verarbeitet keine Geheimnisse.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","Der Skill arbeitet mit Schemaentwurfsmustern und lädt oder führt keine externen Daten als Anweisungen aus.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Lieferketten-Granaten","Der Skill bündelt seinen gesamten Inhalt und ruft zur Laufzeit keine externen Dateien ab.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox-Isolation","Der Skill konzentriert sich auf die Bereitstellung von Ratschlägen zum Schemaentwurf und interagiert nicht mit dem Dateisystem oder externen Ressourcen.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox-Escape-Primitive","Der Skill enthält keine Skripte oder Anweisungen, die ein Sandbox-Escape erleichtern könnten.",{"category":66,"check":82,"severity":24,"summary":83},"Datenexfiltration","Der Skill hat keine ausgehenden Aufrufe oder Verweise auf vertrauliche Daten.",{"category":66,"check":85,"severity":24,"summary":86},"Versteckte Texttricks","Der gebündelte Inhalt scheint frei von versteckten Steuerungs-Tricks zu sein und verwendet sauberes, druckbares ASCII.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opake Codeausführung","Der Inhalt des Skills besteht aus lesbarem Markdown und beinhaltet keinen verschleierten Code.",{"category":92,"check":93,"severity":24,"summary":94},"Portabilität","Strukturelle Annahme","Der Skill arbeitet mit konzeptionellen Datenmodellen und trifft keine Annahmen über das Dateisystemlayout des Benutzers.",{"category":96,"check":97,"severity":24,"summary":98},"Vertrauen","Aufmerksamkeit bei Issues","Es gibt 0 offene und 0 geschlossene Issues in den letzten 90 Tagen, was auf keine unmittelbaren Bedenken hinsichtlich des Engagements der Maintainer hinweist.",{"category":100,"check":101,"severity":24,"summary":102},"Versionierung","Release-Management","Eine aussagekräftige Version (Apache-2.0-Lizenz) ist eindeutig deklariert und dem Repository zugeordnet.",{"category":104,"check":105,"severity":42,"summary":106},"Ausführung","Validierung","Der Skill liefert Anleitungen und führt keinen Code mit Parametern oder strukturiertem Output aus, der eine Schema-Validierung erfordert.",{"category":66,"check":108,"severity":24,"summary":109},"Ungeschützte destruktive Operationen","Der Skill liefert Ratschläge und führt keine destruktiven Operationen aus.",{"category":111,"check":112,"severity":42,"summary":113},"Codeausführung","Fehlerbehandlung","Der Skill liefert informativen Inhalt und verfügt über keine ausführbaren Codepfade mit Fehlerbehandlungsanforderungen.",{"category":111,"check":115,"severity":42,"summary":116},"Protokollierung","Der Skill ist schreibgeschützt und führt keine Aktionen aus, die eine Protokollierung erfordern.",{"category":118,"check":119,"severity":42,"summary":120},"Konformität","DSGVO","Der Skill bietet allgemeine Ratschläge zum Schemaentwurf und verarbeitet keine personenbezogenen Daten.",{"category":118,"check":122,"severity":24,"summary":123},"Zielmarkt","Der Skill bietet allgemeine Ratschläge zum MongoDB-Schemaentwurf, die global anwendbar sind, ohne regionale Einschränkungen.",{"category":92,"check":125,"severity":24,"summary":126},"Laufzeitstabilität","Der Inhalt des Skills sind textbasierte Ratschläge und trifft keine Annahmen über spezifische Laufzeitumgebungen oder Betriebssysteme.",{"category":45,"check":128,"severity":24,"summary":129},"README","Die README-Datei enthält Installationsanweisungen für verschiedene Plattformen und Links zu weiterer Dokumentation.",{"category":33,"check":131,"severity":42,"summary":132},"Größe der Werkzeugoberfläche","Dies ist ein Skill und stellt keine Werkzeuge bereit.",{"category":40,"check":134,"severity":42,"summary":135},"Überlappende, nahezu synonyme Werkzeuge","Dies ist ein Skill und stellt keine Werkzeuge mit überlappenden Namen bereit.",{"category":45,"check":137,"severity":24,"summary":138},"Phantom-Funktionen","Alle in der Dokumentation (SKILL.md und README) beschriebenen Funktionen entsprechen dem bereitgestellten Inhalt.",{"category":140,"check":141,"severity":24,"summary":142},"Installation","Installationsanleitung","Die README-Datei enthält klare Installationsanweisungen für mehrere Umgebungen (Claude, Cursor, Codex, Gemini, Copilot CLI, Vercel, Local) und enthält Copy-Paste-Beispiele.",{"category":144,"check":145,"severity":42,"summary":146},"Fehler","Aktionsfähige Fehlermeldungen","Der Skill liefert informative Inhalte und generiert keine benutzerspezifischen Fehler.",{"category":104,"check":148,"severity":42,"summary":149},"Angepinnte Abhängigkeiten","Der Skill verwendet keine Drittanbieter-Abhängigkeiten, die angepinnt werden müssten.",{"category":33,"check":151,"severity":42,"summary":152},"Dry-Run-Vorschau","Der Skill liefert Ratschläge und verfügt über keine zustandsverändernden Befehle.",{"category":154,"check":155,"severity":42,"summary":156},"Protokoll","Idempotente Wiederholungsversuche & Timeouts","Der Skill liefert informative Inhalte und beinhaltet keine Remote-Aufrufe oder zustandsverändernden Operationen.",{"category":118,"check":158,"severity":42,"summary":159},"Telemetrie-Opt-in","Der Skill sendet keine Telemetriedaten.",{"category":40,"check":161,"severity":24,"summary":162},"Präziser Zweck","Der Zweck und die Anwendungsfälle des Skills sind präzise definiert und konzentrieren sich auf MongoDB-Schemaentwurfsmuster und -anti-muster mit klaren Auslösern und Grenzen.",{"category":40,"check":164,"severity":24,"summary":165},"Prägnante Frontmatter","Die Frontmatter ist dicht und in sich geschlossen, fasst die Kernfunktionalität klar zusammen und liefert relevante Auslöserformulierungen.",{"category":45,"check":167,"severity":24,"summary":168},"Prägnanter Textkörper","Der Skill-Textkörper ist prägnant, wobei tiefergehendes Material angemessen auf separate Referenzdateien delegiert wird.",{"category":170,"check":171,"severity":24,"summary":172},"Kontext","Progressive Offenlegung","Detaillierte Erklärungen werden in separaten Referenzdateien bereitgestellt, die von der Hauptdatei SKILL.md verlinkt sind, und folgen einem Modell der progressiven Offenlegung.",{"category":170,"check":174,"severity":42,"summary":175},"Verzweigte Erkundung","Der Skill bietet Ratschläge zum Schemaentwurf und beinhaltet keine tiefe Erkundung, die einen verzweigten Kontext erfordern würde.",{"category":22,"check":177,"severity":24,"summary":178},"Anwendungsbeispiele","Beispiele sind in den Referenzdateien enthalten, um Konzepte wie Einbettungs- vs. Referenzierungsentscheidungen und Schema-Validierung zu veranschaulichen.",{"category":22,"check":180,"severity":24,"summary":181},"Randfälle","Der Skill befasst sich mit Randfällen und Einschränkungen, z. B. wann nicht eingebettet/referenziert werden soll, und liefert gegebenenfalls Wiederherstellungsschritte.",{"category":111,"check":183,"severity":42,"summary":184},"Werkzeug-Fallback","Dieser Skill stützt sich nicht auf externe MCP-Werkzeuge, die Fallback-Pfade benötigen.",{"category":66,"check":186,"severity":42,"summary":187},"Anhalten bei unerwartetem Zustand","Der Skill liefert Ratschläge und verfügt über keine ausführbaren Vorbedingungen oder destruktiven Schritte, die ein Anhalten bei unerwarteten Zuständen erfordern.",{"category":92,"check":189,"severity":24,"summary":190},"Übergreifende Kopplung","Der Skill ist in sich geschlossen und konzentriert sich auf den MongoDB-Schemaentwurf, ohne implizite Abhängigkeiten von anderen Skills.",1778694306110,"Diese Skill bietet tiefgreifende Ratschläge zum MongoDB-Schemaentwurf, die grundlegende Muster, Anti-Muster und Best Practices für Datenmodellierung, Leistungsoptimierung und Schemaentwicklung abdecken. Sie enthält detaillierte Erklärungen, Entscheidungsrahmen, Überprüfungsschritte und Referenzen für verschiedene Schemaentwurfskonzepte.",[194,195,196,197,198,199,200],"MongoDB-Schemaentwurfsmuster","Schema-Anti-Muster und deren Vermeidung","Entscheidungsrahmen für Einbettung vs. Referenzierung","Anleitung zur Größe von Dokumenten und Sammlungen","Implementierung der Schema-Validierung","Datenmodellierung für Beziehungen und Hierarchien","Verwaltung des Datenlebenszyklus (Archivierung, Versionierung)",[202,203,204],"Bereitstellung von spezifischem MongoDB-Abfragecode über Beispiele hinaus","Automatisierte Schemaerstellung oder Validierungsausführung","Datenbankadministrationsaufgaben, die nicht mit dem Schemaentwurf zusammenhängen",[206,207,208],"Schemaentwurf","Datenmodellierung","Leistungsoptimierung",[210],"Grundlegendes Verständnis von MongoDB-Konzepten","3.0.0","4.4.0","Benutzern zu helfen, effiziente, leistungsstarke und wartbare MongoDB-Schemas zu entwerfen, indem sie bewährte Entwurfsmuster verstehen und anwenden und häufige Anti-Muster vermeiden.","Der Skill ist von außergewöhnlich hoher Qualität, mit umfassender Dokumentation, klarem Zweck und keinen kritischen oder warnenden Befunden. Er zeigt eine ausgezeichnete Einhaltung der Best Practices.",99,"Fachkundige Anleitung zum MongoDB-Schemaentwurf, zu Mustern und Anti-Mustern.",[218,219,220,221,222],"mongodb","schema","database","data-modeling","performance","verified",[225,226,227,228,229,230],"Entwurf neuer MongoDB-Schemas von Grund auf","Migration von SQL-Schemas zu MongoDB","Überprüfung bestehender Datenmodelle auf Leistungsprobleme","Behebung langsamer Abfragen, die durch Schema-Probleme verursacht werden","Entscheidung über Einbettungs- vs. Referenzierungsstrategien","Implementierung von Baumstrukturen und komplexen Beziehungen",[232,233,234,235,236],"Verstehen der Ziele und des Kontexts des Schemaentwurfs.","Konsultieren relevanter Muster-/Anti-Muster-Referenzen basierend auf identifizierten Herausforderungen (z. B. Beziehungen, Datengröße, Zugriffsmuster).","Anwenden von Entscheidungsrahmen zur Wahl zwischen Einbettung, Referenzierung oder anderen Modellierungstechniken.","Implementieren von Schema-Validierungs- und Versionierungsstrategien.","Überprüfen der Schemaentwurfsentscheidungen anhand bereitgestellter Diagnoseabfragen und Best Practices.",{"codeQuality":238,"collectedAt":240,"documentation":241,"maintenance":244,"security":248,"testCoverage":250},{"hasLockfile":239},false,1778694289690,{"descriptionLength":242,"readmeSize":243},554,2753,{"closedIssues90d":8,"forks":245,"hasChangelog":239,"openIssues90d":8,"pushedAt":246,"stars":247},20,1778514087000,111,{"hasNpmPackage":239,"license":249,"smitheryVerified":239},"Apache-2.0",{"hasCi":251,"hasTests":239},true,{"updatedAt":253},1778694408125,{"basePath":255,"githubOwner":218,"githubRepo":256,"locale":18,"slug":257,"type":258},"skills/mongodb-schema-design","agent-skills","mongodb-schema-design","skill",{"_creationTime":260,"_id":261,"community":262,"display":263,"identity":266,"parentExtension":270,"providers":301,"relations":312,"tags":313,"workflow":314},1778694149049.3462,"k170hje3xzpy2mbkn00agzm38x86mkbz",{"reviewCount":8},{"description":264,"installMethods":265,"name":218,"sourceUrl":14},"Official Claude plugin for MongoDB (MCP Server + Skills). Connect to databases, explore data, manage collections, optimize queries, generate reliable code, implement best practices, develop advanced features, and more.",{"claudeCode":218},{"basePath":267,"githubOwner":218,"githubRepo":256,"locale":268,"slug":256,"type":269},"","en","plugin",{"_creationTime":271,"_id":272,"community":273,"display":274,"identity":278,"providers":280,"relations":294,"tags":296,"workflow":297},1778694149049.346,"k17bjnvrfwx0ae2fnz7yj78p6h86mewp",{"reviewCount":8},{"description":275,"installMethods":276,"name":277,"sourceUrl":14},"Use the official MongoDB Skills with your favorite coding agent to build faster.",{"claudeCode":12},"mongodb-plugins",{"basePath":267,"githubOwner":218,"githubRepo":256,"locale":268,"slug":256,"type":279},"marketplace",{"evaluate":281,"extract":288},{"promptVersionExtension":282,"promptVersionScoring":212,"score":283,"tags":284,"targetMarket":286,"tier":287},"3.1.0",75,[218,220,256,285],"developer-tools","global","community",{"commitSha":289,"marketplace":290,"plugin":292},"HEAD",{"name":277,"pluginCount":291},1,{"mcpCount":8,"provider":293,"skillCount":8},"classify",{"repoId":295},"kd74vahs1zbjqzqbert490xyrd86nfv5",[256,220,285,218],{"evaluatedAt":298,"extractAt":299,"updatedAt":300},1778694174645,1778694149049,1778694461056,{"evaluate":302,"extract":309},{"promptVersionExtension":211,"promptVersionScoring":212,"score":303,"tags":304,"targetMarket":286,"tier":223},100,[218,305,306,307,308],"atlas","streaming","data-pipelines","cloud-management",{"commitSha":289,"license":249,"plugin":310},{"mcpCount":8,"provider":293,"skillCount":311},7,{"parentExtensionId":272,"repoId":295},[305,308,307,218,306],{"evaluatedAt":315,"extractAt":299,"updatedAt":316},1778694205322,1778694461243,{"evaluate":318,"extract":320},{"promptVersionExtension":211,"promptVersionScoring":212,"score":215,"tags":319,"targetMarket":286,"tier":223},[218,219,220,221,222],{"commitSha":289,"license":249},{"parentExtensionId":261,"repoId":295,"translatedFrom":322},"k171y6301dax4f21vw91xtyk6986nsan",{"_creationTime":324,"_id":295,"identity":325,"providers":326,"workflow":524},1778694144418.9976,{"githubOwner":218,"githubRepo":256,"sourceUrl":14},{"classify":327,"discover":513,"github":516},{"commitSha":289,"extensions":328},[329,339,350,377,398,408,416,424,440,482,498],{"basePath":330,"displayName":331,"installMethods":332,"rationale":333,"selectedPaths":334,"source":338,"sourceLanguage":268,"type":279},".agents/plugins","mongodb-agent-skills",{"claudeCode":12},"marketplace.json at .agents/plugins/marketplace.json",[335],{"path":336,"priority":337},"marketplace.json","mandatory","rule",{"basePath":267,"displayName":277,"installMethods":340,"rationale":341,"selectedPaths":342,"source":338,"sourceLanguage":268,"type":279},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[343,345,347],{"path":344,"priority":337},".claude-plugin/marketplace.json",{"path":346,"priority":337},"README.md",{"path":348,"priority":349},"LICENSE","high",{"basePath":267,"description":264,"displayName":218,"installMethods":351,"license":249,"rationale":352,"selectedPaths":353,"source":338,"sourceLanguage":268,"type":269},{"claudeCode":218},"plugin manifest at .claude-plugin/plugin.json",[354,356,357,358,361,363,365,367,369,371,373,375],{"path":355,"priority":337},".claude-plugin/plugin.json",{"path":346,"priority":337},{"path":348,"priority":349},{"path":359,"priority":360},"skills/atlas-stream-processing/SKILL.md","medium",{"path":362,"priority":360},"skills/mongodb-connection/SKILL.md",{"path":364,"priority":360},"skills/mongodb-mcp-setup/SKILL.md",{"path":366,"priority":360},"skills/mongodb-natural-language-querying/SKILL.md",{"path":368,"priority":360},"skills/mongodb-query-optimizer/SKILL.md",{"path":370,"priority":360},"skills/mongodb-schema-design/SKILL.md",{"path":372,"priority":360},"skills/mongodb-search-and-ai/SKILL.md",{"path":374,"priority":349},".codex-plugin/plugin.json",{"path":376,"priority":349},".cursor-plugin/plugin.json",{"basePath":378,"description":379,"displayName":380,"installMethods":381,"rationale":382,"selectedPaths":383,"source":338,"sourceLanguage":268,"type":258},"skills/atlas-stream-processing","Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.","atlas-stream-processing",{"claudeCode":12},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[384,386,388,390,392,394,396],{"path":385,"priority":337},"SKILL.md",{"path":387,"priority":360},"references/connection-configs.md",{"path":389,"priority":360},"references/development-workflow.md",{"path":391,"priority":360},"references/mcp-troubleshooting.md",{"path":393,"priority":360},"references/output-diagnostics.md",{"path":395,"priority":360},"references/pipeline-patterns.md",{"path":397,"priority":360},"references/sizing-and-parallelism.md",{"basePath":399,"description":400,"displayName":401,"installMethods":402,"rationale":403,"selectedPaths":404,"source":338,"sourceLanguage":268,"type":258},"skills/mongodb-connection","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.","mongodb-connection",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-connection/SKILL.md",[405,406],{"path":385,"priority":337},{"path":407,"priority":360},"references/monitoring-guide.md",{"basePath":409,"description":410,"displayName":411,"installMethods":412,"rationale":413,"selectedPaths":414,"source":338,"sourceLanguage":268,"type":258},"skills/mongodb-mcp-setup","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.","mongodb-mcp-setup",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-mcp-setup/SKILL.md",[415],{"path":385,"priority":337},{"basePath":417,"description":418,"displayName":419,"installMethods":420,"rationale":421,"selectedPaths":422,"source":338,"sourceLanguage":268,"type":258},"skills/mongodb-natural-language-querying","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-natural-language-querying",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-natural-language-querying/SKILL.md",[423],{"path":385,"priority":337},{"basePath":425,"description":426,"displayName":427,"installMethods":428,"rationale":429,"selectedPaths":430,"source":338,"sourceLanguage":268,"type":258},"skills/mongodb-query-optimizer","Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: \"How do I optimize this query?\", \"How do I index this?\", \"Why is this query slow?\", \"Can you fix my slow queries?\", \"What are the slow queries on my cluster?\", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.","mongodb-query-optimizer",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-query-optimizer/SKILL.md",[431,432,434,436,438],{"path":385,"priority":337},{"path":433,"priority":360},"references/aggregation-optimization.md",{"path":435,"priority":360},"references/antipattern-examples.md",{"path":437,"priority":360},"references/core-indexing-principles.md",{"path":439,"priority":360},"references/update-query-examples.md",{"basePath":255,"description":441,"displayName":257,"installMethods":442,"rationale":443,"selectedPaths":444,"source":338,"sourceLanguage":268,"type":258},"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\".",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-schema-design/SKILL.md",[445,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480],{"path":385,"priority":337},{"path":447,"priority":360},"references/antipattern-excessive-lookups.md",{"path":449,"priority":360},"references/antipattern-unnecessary-collections.md",{"path":451,"priority":360},"references/antipattern-unnecessary-indexes.md",{"path":453,"priority":360},"references/fundamental-document-model.md",{"path":455,"priority":360},"references/fundamental-document-size.md",{"path":457,"priority":360},"references/fundamental-embed-vs-reference.md",{"path":459,"priority":360},"references/fundamental-schema-validation.md",{"path":461,"priority":360},"references/pattern-approximation.md",{"path":463,"priority":360},"references/pattern-archive.md",{"path":465,"priority":360},"references/pattern-attribute.md",{"path":467,"priority":360},"references/pattern-bucket.md",{"path":469,"priority":360},"references/pattern-computed.md",{"path":471,"priority":360},"references/pattern-document-versioning.md",{"path":473,"priority":360},"references/pattern-extended-reference.md",{"path":475,"priority":360},"references/pattern-outlier.md",{"path":477,"priority":360},"references/pattern-polymorphic.md",{"path":479,"priority":360},"references/pattern-schema-versioning.md",{"path":481,"priority":360},"references/pattern-time-series-collections.md",{"basePath":483,"description":484,"displayName":485,"installMethods":486,"rationale":487,"selectedPaths":488,"source":338,"sourceLanguage":268,"type":258},"skills/mongodb-search-and-ai","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.\n","mongodb-search-and-ai",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-search-and-ai/SKILL.md",[489,490,492,494,496],{"path":385,"priority":337},{"path":491,"priority":360},"references/hybrid-search.md",{"path":493,"priority":360},"references/lexical-search-indexing.md",{"path":495,"priority":360},"references/lexical-search-querying.md",{"path":497,"priority":360},"references/vector-search.md",{"basePath":499,"description":500,"displayName":501,"installMethods":502,"rationale":503,"selectedPaths":504,"source":338,"sourceLanguage":268,"type":258},"tools/review-skill","Review a proposed Agent Skill for structural validity and content quality before publishing. Runs the skill-validator CLI to check for structural issues, scores the skill with an LLM judge, and interprets results to advise SMEs on what to address. Use when a user wants to review, validate, or quality-check an Agent Skill.","review-skill",{"claudeCode":12},"SKILL.md frontmatter at tools/review-skill/SKILL.md",[505,506,509,511],{"path":385,"priority":337},{"path":507,"priority":508},"assets/report.md","low",{"path":510,"priority":360},"references/install-skill-validator.md",{"path":512,"priority":360},"references/llm-scoring.md",{"sources":514},[515],"manual",{"closedIssues90d":8,"description":275,"forks":245,"license":249,"openIssues90d":8,"pushedAt":246,"readmeSize":243,"stars":247,"topics":517},[518,519,520,521,522,523],"agent","claude","cursor","gemini-cli-extension","mcp","skills",{"classifiedAt":525,"discoverAt":526,"extractAt":527,"githubAt":527,"updatedAt":525},1778694148853,1778694144419,1778694146756,[221,220,218,222,219],{"evaluatedAt":530,"extractAt":299,"updatedAt":253},1778694306222,[],[533,555,584,606,631,658],{"_creationTime":534,"_id":535,"community":536,"display":537,"identity":541,"providers":542,"relations":549,"tags":551,"workflow":552},1778694378261.7441,"k17fkkx5s0960j77wnp642y0vs86nmq7",{"reviewCount":8},{"description":538,"installMethods":539,"name":540,"sourceUrl":14},"Optimieren Sie die Konfiguration von MongoDB-Clientverbindungen (Pools, Timeouts, Muster) für jede unterstützte Treibersprache. Verwenden Sie diese Fähigkeit, wenn Sie an Funktionen arbeiten/diese aktualisieren/überprüfen, die einen MongoDB-Client instanziieren oder konfigurieren (z. B. beim Aufruf von `connect()`), Verbindungspools konfigurieren, Verbindungsprobleme beheben (ECONNREFUSED, Timeouts, Pool-Erschöpfung), Leistungsprobleme im Zusammenhang mit Verbindungen optimieren. Dies schließt Szenarien wie das Erstellen von serverlosen Funktionen mit MongoDB, das Erstellen von API-Endpunkten, die MongoDB verwenden, die Optimierung von MongoDB-Anwendungen mit hohem Datenverkehr, das Erstellen von langlaufenden Aufgaben und Nebenläufigkeit oder das Debuggen von verbindungsbezogenen Fehlern ein.",{"claudeCode":12},"MongoDB Connection Optimizer",{"basePath":399,"githubOwner":218,"githubRepo":256,"locale":18,"slug":401,"type":258},{"evaluate":543,"extract":548},{"promptVersionExtension":211,"promptVersionScoring":212,"score":303,"tags":544,"targetMarket":286,"tier":223},[218,220,545,222,546,547],"connection","optimization","configuration",{"commitSha":289,"license":249},{"parentExtensionId":261,"repoId":295,"translatedFrom":550},"k175wmq2n17n23xzphj2zzt3qs86n3xd",[547,545,220,218,546,222],{"evaluatedAt":553,"extractAt":299,"updatedAt":554},1778694243014,1778694378261,{"_creationTime":556,"_id":557,"community":558,"display":559,"identity":565,"providers":569,"relations":578,"tags":580,"workflow":581},1778682862751.9475,"k177bn4hpsv2417q7fvbdtwav586ny65",{"reviewCount":8},{"description":560,"installMethods":561,"name":563,"sourceUrl":564},"Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL migration, DDL operations, query plan explainability, and SQL compatibility validation. Triggers on phrases like: DSQL, Aurora DSQL, create DSQL table, DSQL schema, migrate to DSQL, distributed SQL database, serverless PostgreSQL-compatible database, DSQL query plan, DSQL EXPLAIN ANALYZE, why is my DSQL query slow.",{"claudeCode":562},"awslabs/mcp","dsql","https://github.com/awslabs/mcp",{"basePath":566,"githubOwner":567,"githubRepo":522,"locale":268,"slug":568,"type":258},"src/aurora-dsql-mcp-server/skills/dsql-skill","awslabs","dsql-skill",{"evaluate":570,"extract":577},{"promptVersionExtension":211,"promptVersionScoring":212,"score":303,"tags":571,"targetMarket":286,"tier":223},[220,572,573,574,563,575,219,576,222],"sql","aws","aurora","migration","query",{"commitSha":289},{"repoId":579},"kd71cq56hfddetnwspw92kb09x86mbzy",[574,573,220,563,575,222,576,219,572],{"evaluatedAt":582,"extractAt":583,"updatedAt":582},1778682978663,1778682862752,{"_creationTime":585,"_id":586,"community":587,"display":588,"identity":591,"providers":592,"relations":600,"tags":602,"workflow":603},1778694415976.5222,"k1766fag8f403pvmj6st943zyn86nnvf",{"reviewCount":8},{"description":589,"installMethods":590,"name":485,"sourceUrl":14},"Leitet MongoDB-Benutzer bei der Implementierung und Optimierung von Atlas Search (Volltext), Vector Search (semantisch) und Hybrid Search-Lösungen an. Verwenden Sie diesen Skill, wenn Benutzer Suchfunktionen für textbasierte Abfragen (Autovervollständigung, Fuzzy-Suche, facettenreiche Suche), semantische Ähnlichkeit (Embeddings, RAG-Anwendungen) oder kombinierte Ansätze erstellen müssen. Verwenden Sie ihn auch, wenn Benutzer Textinhalte, Teilzeichenfolgenübereinstimmungen („enthält“, „beinhaltet“, „erscheint in“), groß-/kleinschreibungsunempfindliche oder mehrfeldige Textsuche oder Filterung über viele Felder mit variablen Kombinationen hinweg benötigen. Bietet Workflows für die Auswahl des richtigen Suchtyps, die Erstellung von Indizes, die Konstruktion von Abfragen und die Optimierung der Leistung mit dem MongoDB MCP-Server.\n",{"claudeCode":12},{"basePath":483,"githubOwner":218,"githubRepo":256,"locale":18,"slug":485,"type":258},{"evaluate":593,"extract":599},{"promptVersionExtension":211,"promptVersionScoring":212,"score":303,"tags":594,"targetMarket":286,"tier":223},[218,595,596,597,220,598],"atlas-search","vector-search","hybrid-search","search",{"commitSha":289},{"parentExtensionId":261,"repoId":295,"translatedFrom":601},"k17b18bc1pkwm6r3xttpqzefj586ms2r",[595,220,597,218,598,596],{"evaluatedAt":604,"extractAt":299,"updatedAt":605},1778694322274,1778694415976,{"_creationTime":607,"_id":608,"community":609,"display":610,"identity":616,"providers":620,"relations":625,"tags":627,"workflow":628},1778687399826.0325,"k17269dg7c9710vn40ysst9cbx86nekj",{"reviewCount":8},{"description":611,"installMethods":612,"name":614,"sourceUrl":615},"Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.",{"claudeCode":613},"github/awesome-copilot","sql-optimization","https://github.com/github/awesome-copilot",{"basePath":617,"githubOwner":618,"githubRepo":619,"locale":268,"slug":614,"type":258},"skills/sql-optimization","github","awesome-copilot",{"evaluate":621,"extract":624},{"promptVersionExtension":211,"promptVersionScoring":212,"score":303,"tags":622,"targetMarket":286,"tier":223},[572,222,546,220,623],"tuning",{"commitSha":289},{"repoId":626},"kd7dsmv976w8rtkqnjjfdtfgks86nnmw",[220,546,222,572,623],{"evaluatedAt":629,"extractAt":630,"updatedAt":629},1778689968064,1778687399826,{"_creationTime":632,"_id":633,"community":634,"display":635,"identity":641,"providers":645,"relations":650,"tags":653,"workflow":654},1778683670334.5781,"k178v2rfnpxdwx78kb20ey1ga986nhye",{"reviewCount":8},{"description":636,"installMethods":637,"name":639,"sourceUrl":640},"Anleitung zum Abfragen von Datenbanken über den DBHub MCP-Server. Verwenden Sie diese Fähigkeit immer dann, wenn Sie Datenbankschemata untersuchen, Tabellen inspizieren oder SQL-Abfragen über die MCP-Tools von DBHub ausführen müssen (search_objects, execute_sql). Aktiviert bei jeder Datenbankabfrageaufgabe, Schemadeckung, Datenabfrage oder SQL-Ausführung über MCP – auch wenn der Benutzer nur „Datenbank prüfen“ oder „mir Daten finden“ sagt. Diese Fähigkeit stellt sicher, dass Sie dem richtigen Workflow „zuerst erkunden“ folgen, anstatt Tabellenstrukturen zu erraten.",{"claudeCode":638},"bytebase/dbhub","DBHub Database Query Guide","https://github.com/bytebase/dbhub",{"basePath":642,"githubOwner":643,"githubRepo":644,"locale":18,"slug":644,"type":258},"skills/dbhub","bytebase","dbhub",{"evaluate":646,"extract":648},{"promptVersionExtension":211,"promptVersionScoring":212,"score":303,"tags":647,"targetMarket":286,"tier":223},[220,572,576,219,522,643],{"commitSha":289,"license":649},"MIT",{"repoId":651,"translatedFrom":652},"kd75gz890g3h6zj0xf3qtbrdjd86mpw3","k17a9cav35ya4h38sccx3r3d5d86mr2y",[643,220,522,576,219,572],{"evaluatedAt":655,"extractAt":656,"updatedAt":657},1778683601748,1778683522639,1778683670334,{"_creationTime":659,"_id":660,"community":661,"display":662,"identity":668,"providers":671,"relations":677,"tags":681,"workflow":682},1778697939703.3167,"k173gd517vsje5y963qg1jw3jx86nta1",{"reviewCount":8},{"description":663,"installMethods":664,"name":666,"sourceUrl":667},"Postgres-Optimierungs- und Best-Practice-Anleitungen von Supabase. Verwenden Sie diesen Skill beim Schreiben, Überprüfen oder Optimieren von Postgres-Abfragen, Schema-Designs oder Datenbankkonfigurationen.",{"claudeCode":665},"supabase/agent-skills","supabase-postgres-best-practices","https://github.com/supabase/agent-skills",{"basePath":669,"githubOwner":670,"githubRepo":256,"locale":18,"slug":666,"type":258},"skills/supabase-postgres-best-practices","supabase",{"evaluate":672,"extract":676},{"promptVersionExtension":211,"promptVersionScoring":212,"score":215,"tags":673,"targetMarket":286,"tier":223},[674,572,222,546,219,675],"postgres","best-practices",{"commitSha":289},{"parentExtensionId":678,"repoId":679,"translatedFrom":680},"k170hrswycfq556p713vzeqg5586nhg4","kd7dwty9y1efv0wztdwgh1x9w186n12k","k17fbv6g1x0t6xarhsc4jgw4rs86nk95",[675,546,222,674,219,572],{"evaluatedAt":683,"extractAt":684,"updatedAt":685},1778697909644,1778697815468,1778697939703]