[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-mongodb-atlas-stream-processing-de":3,"guides-for-mongodb-atlas-stream-processing":503,"similar-k172mr6e549mq296cckr6gh9bx86m1cm-de":504},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":228,"isFallback":212,"parentExtension":233,"providers":289,"relations":293,"repo":295,"tags":500,"workflow":501},1778694376365.2314,"k172mr6e549mq296cckr6gh9bx86m1cm",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Verwaltet MongoDB Atlas Stream Processing (ASP)-Workflows. Kümmert sich um die Bereitstellung von Arbeitsbereichen, Verbindungen zu Datenquellen/Senken, Betriebslebenszyklus von Prozessoren, Debugging-Diagnosen und Größeneinstufung von Ebenen. Unterstützt Kafka-, Atlas-Cluster-, S3-, HTTPS- und Lambda-Integrationen für Streaming-Daten-Workloads und Ereignisverarbeitung. NICHT für allgemeine MongoDB-Abfragen oder Atlas-Clusterverwaltung. Erfordert MongoDB MCP Server mit Atlas API-Anmeldeinformationen.",{"claudeCode":12},"mongodb/agent-skills","MongoDB Atlas Stream Processing","https://github.com/mongodb/agent-skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":210,"workflow":226},1778694376365.2317,"kn7dkkgy90555zvtm054xpfcdd86nbxp","de",{"checks":20,"evaluatedAt":175,"extensionSummary":176,"features":177,"nonGoals":183,"practices":187,"prerequisites":188,"promptVersionExtension":192,"promptVersionScoring":193,"purpose":194,"rationale":195,"score":196,"summary":197,"tags":198,"tier":204,"useCases":205},[21,26,29,32,36,39,43,46,50,54,58,61,64,68,71,75,78,81,84,87,90,93,96,100,103,107,111,115,118,122,126,129,132,135,138,141,144,148,152,155,158,161,164,168,172],{"category":22,"check":23,"severity":24,"summary":25},"Praktischer Nutzen","Problemrelevanz","pass","Die Beschreibung identifiziert klar das Problem der Verwaltung von MongoDB Atlas Stream Processing (ASP)-Workflows und spezifiziert dessen Umfang, was ihn von allgemeinen MongoDB-Operationen unterscheidet.",{"category":22,"check":27,"severity":24,"summary":28},"Alleinstellungsmerkmal","Der Skill bietet einen erheblichen Mehrwert über einen einfachen API-Wrapper hinaus, indem er komplexe Lebenszyklusoperationen, Diagnosen und Integrationen für ASP-Workflows handhabt, was mit einfachem Prompting schwer zu erreichen wäre.",{"category":22,"check":30,"severity":24,"summary":31},"Produktionsbereitschaft","Der Skill deckt den vollständigen Lebenszyklus für ASP-Workflows ab, einschließlich Bereitstellung, Verwaltung, Debugging und Größeneinstufung von Ebenen, und liefert detaillierte Referenzen für erweiterte Konfigurationen und Fehlerbehebung, was auf Produktionsbereitschaft hindeutet.",{"category":33,"check":34,"severity":24,"summary":35},"Umfang","Prinzip der einzigen Verantwortung","Der Skill konzentriert sich auf die Verwaltung von MongoDB Atlas Stream Processing (ASP)-Workflows, und seine Werkzeuge sind kohäsiv und decken den gesamten Lebenszyklus von ASP-Ressourcen ab, ohne in unrelated domains überzugehen.",{"category":33,"check":37,"severity":24,"summary":38},"Qualität der Beschreibung","Die Beschreibung ist prägnant, genau und kommuniziert effektiv den Zweck, die Fähigkeiten, die unterstützten Integrationen und die Voraussetzungen des Skills.",{"category":40,"check":41,"severity":24,"summary":42},"Aufruf","Präziser Zweck","Die Beschreibung gibt klar das Artefakt (ASP-Workflows) und die Benutzerabsicht (verwalten, bereitstellen, debuggen) sowie explizite Nicht-Ziele an und liefert somit präzise Routing-Informationen.",{"category":40,"check":44,"severity":24,"summary":45},"Prägnanter Frontmatter","Der Frontmatter in SKILL.md ist dicht und fasst die Kernfunktionalität und Auslöser effektiv in den ersten 160 Zeichen zusammen.",{"category":47,"check":48,"severity":24,"summary":49},"Dokumentation","Prägnanter Hauptteil","Die Datei SKILL.md ist gut strukturiert, lagert umfangreiches Material in Referenzdateien aus und bleibt innerhalb einer angemessenen Länge, wobei die progressive Offenlegung eingehalten wird.",{"category":51,"check":52,"severity":24,"summary":53},"Kontext","Progressive Offenlegung","Detaillierte Informationen zu Pipeline-Mustern, Verbindungskonfigurationen und Fehlerbehebung sind in separaten Referenzdateien organisiert und von SKILL.md verlinkt, was die progressive Offenlegung erleichtert.",{"category":51,"check":55,"severity":56,"summary":57},"Gabelungserkundung","not_applicable","Der Skill konzentriert sich nicht primär auf tiefgehende Erkundung oder Code-Reviews, daher ist `context: fork` nicht anwendbar.",{"category":22,"check":59,"severity":24,"summary":60},"Anwendungsbeispiele","Die Datei SKILL.md enthält ausreichende End-to-End-Beispiele für Kern-Workflows, Pipeline-Muster und Verbindungstypen, die konkrete Eingaben und erwartete Ergebnisse zeigen.",{"category":22,"check":62,"severity":24,"summary":63},"Grenzfälle","Die Skill-Anweisungen und Referenzdateien dokumentieren zahlreiche Fehlerfälle, Einschränkungen und Wiederherstellungsschritte für verschiedene Szenarien wie Verbindungsfehler, Pipeline-Probleme und Leistungsoptimierung.",{"category":65,"check":66,"severity":24,"summary":67},"Codeausführung","Stopp bei unerwartetem Zustand","Die Dokumentation des Entwicklungsworkflows schreibt eine Vorabprüfung der Verbindungen vor der Bereitstellung vor und betont das Anhalten von Prozessoren vor Änderungen, um einen kontrollierten Zustand für Operationen zu gewährleisten.",{"category":69,"check":66,"severity":24,"summary":70},"Sicherheit","Die Skill-Dokumentation schreibt die Validierung von Verbindungen und das Anhalten von Prozessoren vor Änderungen oder Löschungen vor, um kritische Operationen vor unerwarteten Zuständen zu schützen.",{"category":72,"check":73,"severity":24,"summary":74},"Portabilität","Kreuz-Skill-Kopplung","Der Skill ist in sich geschlossen und verwaltet ASP-Workflows über seine eigenen MCP-Tools. Er ist nicht implizit auf andere Skills angewiesen und Querverweise auf verwandte Dokumentationen sind explizit.",{"category":69,"check":76,"severity":24,"summary":77},"Geheimnisverwaltung","Der Skill stützt sich auf das Elicitation-Protokoll des MCP Servers zur Verwaltung sensibler Felder wie API-Anmeldeinformationen, wodurch verhindert wird, dass diese in Pipelines oder Protokollen offengelegt werden.",{"category":69,"check":79,"severity":24,"summary":80},"Injektion","Der Skill arbeitet mit strukturierten Konfigurationen und Befehlen und lädt oder führt keine beliebigen externen Daten aus, die für Injektionen verwendet werden könnten.",{"category":69,"check":82,"severity":24,"summary":83},"Transitive Lieferketten-Granaten","Der Skill verwendet hauptsächlich festgelegte Konfigurationen und MCP-Tools; es gibt keine Hinweise auf Laufzeitabrufe von Code oder Anweisungen von externen URLs.",{"category":69,"check":85,"severity":24,"summary":86},"Sandbox-Isolation","Der Skill interagiert mit dem MCP Server und der Atlas API, die in isolierten Umgebungen laufen. Dateioperationen, falls vorhanden, werden vermutlich innerhalb des verwalteten Geltungsbereichs des MCP Servers durchgeführt.",{"category":69,"check":88,"severity":24,"summary":89},"Sandbox-Flucht-Primitive","Die Anweisungen des Skills konzentrieren sich auf API-Aufrufe und Konfiguration, ohne Hinweise auf getrennte Prozesse oder Wiederholungsschleifen bei abgelehnten Operationen.",{"category":69,"check":91,"severity":24,"summary":92},"Datenexfiltration","Der Skill verlässt sich auf den MCP Server zur sicheren Handhabung von API-Anmeldeinformationen und weist den Agenten nicht an, vertrauliche Daten zu exfiltrieren.",{"category":69,"check":94,"severity":24,"summary":95},"Versteckte Texttricks","Die gebündelten Inhalte und die Dokumentation scheinen frei von versteckten Texttricks, Steuerzeichen oder Verschleierungstechniken zu sein.",{"category":97,"check":98,"severity":24,"summary":99},"Hooks","Undurchsichtige Codeausführung","Die Logik des Skills wird durch MCP-Tools und dokumentierte Konfigurationen implementiert, ohne Hinweise auf verschleierte oder base64-kodierte Codeausführung.",{"category":72,"check":101,"severity":24,"summary":102},"Strukturelle Annahme","Der Skill arbeitet mit Atlas-Ressourcen und Konfigurationen, die vom MCP Server verwaltet werden, nicht mit spezifischen Dateistrukturen von Benutzerprojekten, und vermeidet daher strukturelle Annahmen.",{"category":104,"check":105,"severity":24,"summary":106},"Vertrauen","Aufmerksamkeit für Issues","Es gibt 0 offene und 0 geschlossene Issues in den letzten 90 Tagen, was auf hohes Engagement oder eine sehr neue Projekterstellung/stabilen Zustand hindeutet.",{"category":108,"check":109,"severity":24,"summary":110},"Versionierung","Release-Management","Das Skill-Manifest deklariert eine Version (1.0.0), um eine klare Versionserkennbarkeit zu gewährleisten.",{"category":112,"check":113,"severity":56,"summary":114},"Ausführung","Angepinnte Abhängigkeiten","Der Skill arbeitet über den MCP Server und seine Tools, anstatt externe Skriptabhängigkeiten oder Interpreter direkt zu verwalten.",{"category":33,"check":116,"severity":24,"summary":117},"Dry-Run-Vorschau","Obwohl direkte Dry-Run-Flags nicht explizit für alle Operationen erwähnt werden, betont der Workflow Benutzerbestätigung und detaillierte Ausgabeninspektion vor destruktiven Aktionen und erfüllt somit einen ähnlichen Zweck.",{"category":119,"check":120,"severity":56,"summary":121},"Protokoll","Idempotente Wiederholung & Timeouts","Die Operationen des Skills werden vom MCP Server und der Atlas API gehandhabt, die für Idempotenz und Timeouts verantwortlich sind, anstatt direkt in der Logik des Skills implementiert zu sein.",{"category":123,"check":124,"severity":56,"summary":125},"Compliance","DSGVO","Der Skill verwaltet Infrastrukturkonfigurationen und API-Anmeldeinformationen, nicht personenbezogene Daten von Endbenutzern, wodurch die DSGVO-Konformität nicht direkt anwendbar ist.",{"category":123,"check":127,"severity":24,"summary":128},"Zielmarkt","Der Skill arbeitet mit MongoDB Atlas-Ressourcen, die global verfügbar sind, und die Dokumentation weist keine regionalen Einschränkungen auf.",{"category":72,"check":130,"severity":24,"summary":131},"Laufzeitstabilität","Der Skill stützt sich auf den MCP Server und Standard-Atlas-APIs, abstrahiert Betriebssystem- oder Shell-Abhängigkeiten und gewährleistet so eine breite Laufzeitstabilität.",{"category":47,"check":133,"severity":24,"summary":134},"README","Das README bietet klare Installationsanweisungen für verschiedene Plattformen und einen Link zur offiziellen MongoDB Agent Skills-Dokumentation.",{"category":33,"check":136,"severity":24,"summary":137},"Tool-Oberflächengröße","Der Skill stellt vier Haupt-MCP-Tools bereit (`discover`, `build`, `manage`, `teardown`), was im idealen Bereich liegt.",{"category":40,"check":139,"severity":24,"summary":140},"Überlappende nahe Synonym-Tools","Die Tools sind in ihrer Funktion (discover, build, manage, teardown) klar voneinander getrennt und haben keine überlappenden, fast synonymen Namen.",{"category":47,"check":142,"severity":24,"summary":143},"Phantom-Funktionen","Alle beworbenen Funktionen, wie Workspace-Bereitstellung, Verbindungsverwaltung und Prozessor-Lebenszyklusoperationen, werden von den dokumentierten MCP-Tools unterstützt.",{"category":145,"check":146,"severity":24,"summary":147},"Installation","Installationsanleitung","Das README bietet umfassende, kopierbare Installationsanweisungen für mehrere Plattformen (Claude, Cursor, Codex, Gemini, Copilot CLI, Vercel, lokal) und erwähnt die Einrichtung des MCP Servers.",{"category":149,"check":150,"severity":24,"summary":151},"Fehler","Handlungsfähige Fehlermeldungen","Die Skill-Dokumentation und die Referenzdateien decken Fehlerbehandlung umfassend ab, einschließlich spezifischer Fehlermeldungen, Ursachen und Wiederherstellungsschritte für verschiedene Fehlerszenarien.",{"category":65,"check":153,"severity":24,"summary":154},"Validierung","Der Skill stützt sich auf den MCP Server und die Atlas API zur Validierung von Konfigurationen und Parametern, um Datenintegrität und Sicherheit zu gewährleisten.",{"category":69,"check":156,"severity":24,"summary":157},"Ungeschützte destruktive Operationen","Destruktive Operationen wie die Löschung von Arbeitsbereichen werden durch explizite Benutzerbestätigungsschritte und Sicherheitsprüfungen geschützt, wie in den Sicherheitsregeln dokumentiert.",{"category":65,"check":159,"severity":24,"summary":160},"Fehlerbehandlung","Der Skill verlässt sich auf den MCP Server und die Atlas API zur Fehlerbehandlung, mit detaillierter Dokumentation zur Diagnose und Wiederherstellung von verschiedenen Fehlerzuständen.",{"category":65,"check":162,"severity":24,"summary":163},"Protokollierung","Die Skill-Dokumentation besagt, dass Operationen protokolliert und überprüft werden können, insbesondere durch Diagnosen und Atlas UI-Protokolle zur Fehlerbehebung.",{"category":165,"check":166,"severity":24,"summary":167},"Lizenz","Lizenznutzbarkeit","Die Erweiterung ist unter der Apache-2.0-Lizenz lizenziert, einer permissiven Open-Source-Lizenz.",{"category":169,"check":170,"severity":24,"summary":171},"Wartung","Aktualität der Commits","Der letzte Commit war am 11. Mai 2026, was innerhalb der letzten 3 Monate liegt.",{"category":169,"check":173,"severity":56,"summary":174},"Abhängigkeitsverwaltung","Der Skill arbeitet über den MCP-Server und die Atlas-API und scheint keine Drittanbieter-Abhängigkeiten direkt zu verwalten.",1778694226203,"Dieser Skill verwaltet MongoDB Atlas Stream Processing (ASP)-Workflows, einschließlich der Bereitstellung von Arbeitsbereichen, Verbindungen zu Datenquellen/Senken, Betriebslebenszyklus von Prozessoren, Debugging und Größeneinstufung von Ebenen. Er unterstützt verschiedene Integrationen wie Kafka, Atlas-Cluster, S3, HTTPS und Lambda und erfordert den MongoDB MCP Server mit Atlas API-Anmeldeinformationen.",[178,179,180,181,182],"Bereitstellung und Verwaltung von Arbeitsbereichen","Konfiguration von Datenquellen- und Senkenverbindungen","Lebenszyklusoperationen von Prozessoren (Erstellen, Starten, Stoppen, Ändern, Löschen)","Debugging-Diagnosen und Gesundheitsberichterstattung","Größeneinstufung von Ebenen und Leistungsoptimierung",[184,185,186],"Durchführung allgemeiner MongoDB-Abfragen oder Datenmanipulation","Direkte Verwaltung von Atlas-Clustern (außerhalb von Stream-Processing-Verbindungen)","Authentifizierung außerhalb der Konfiguration des MCP Servers",[],[189,190,191],"MongoDB MCP Server","Atlas API-Anmeldeinformationen (apiClientId, apiClientSecret)","Atlas-Projekt-ID","3.0.0","4.4.0","Benutzern zu ermöglichen, MongoDB Atlas Stream Processing (ASP)-Pipelines effizient zu erstellen, zu betreiben und zu debuggen, durch einen strukturierten, tool-gesteuerten Workflow.","Keine kritischen oder warnenden Funde, was auf einen qualitativ hochwertigen und produktionsbereiten Skill hindeutet. 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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.",{"claudeCode":12},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[354,356,358,360,362,364,366],{"path":355,"priority":309},"SKILL.md",{"path":357,"priority":332},"references/connection-configs.md",{"path":359,"priority":332},"references/development-workflow.md",{"path":361,"priority":332},"references/mcp-troubleshooting.md",{"path":363,"priority":332},"references/output-diagnostics.md",{"path":365,"priority":332},"references/pipeline-patterns.md",{"path":367,"priority":332},"references/sizing-and-parallelism.md",{"basePath":369,"description":370,"displayName":371,"installMethods":372,"rationale":373,"selectedPaths":374,"source":310,"sourceLanguage":242,"type":232},"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",[375,376],{"path":355,"priority":309},{"path":377,"priority":332},"references/monitoring-guide.md",{"basePath":379,"description":380,"displayName":381,"installMethods":382,"rationale":383,"selectedPaths":384,"source":310,"sourceLanguage":242,"type":232},"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",[385],{"path":355,"priority":309},{"basePath":387,"description":388,"displayName":389,"installMethods":390,"rationale":391,"selectedPaths":392,"source":310,"sourceLanguage":242,"type":232},"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",[393],{"path":355,"priority":309},{"basePath":395,"description":396,"displayName":397,"installMethods":398,"rationale":399,"selectedPaths":400,"source":310,"sourceLanguage":242,"type":232},"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",[401,402,404,406,408],{"path":355,"priority":309},{"path":403,"priority":332},"references/aggregation-optimization.md",{"path":405,"priority":332},"references/antipattern-examples.md",{"path":407,"priority":332},"references/core-indexing-principles.md",{"path":409,"priority":332},"references/update-query-examples.md",{"basePath":411,"description":412,"displayName":413,"installMethods":414,"rationale":415,"selectedPaths":416,"source":310,"sourceLanguage":242,"type":232},"skills/mongodb-schema-design","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\".","mongodb-schema-design",{"claudeCode":12},"SKILL.md frontmatter at skills/mongodb-schema-design/SKILL.md",[417,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452],{"path":355,"priority":309},{"path":419,"priority":332},"references/antipattern-excessive-lookups.md",{"path":421,"priority":332},"references/antipattern-unnecessary-collections.md",{"path":423,"priority":332},"references/antipattern-unnecessary-indexes.md",{"path":425,"priority":332},"references/fundamental-document-model.md",{"path":427,"priority":332},"references/fundamental-document-size.md",{"path":429,"priority":332},"references/fundamental-embed-vs-reference.md",{"path":431,"priority":332},"references/fundamental-schema-validation.md",{"path":433,"priority":332},"references/pattern-approximation.md",{"path":435,"priority":332},"references/pattern-archive.md",{"path":437,"priority":332},"references/pattern-attribute.md",{"path":439,"priority":332},"references/pattern-bucket.md",{"path":441,"priority":332},"references/pattern-computed.md",{"path":443,"priority":332},"references/pattern-document-versioning.md",{"path":445,"priority":332},"references/pattern-extended-reference.md",{"path":447,"priority":332},"references/pattern-outlier.md",{"path":449,"priority":332},"references/pattern-polymorphic.md",{"path":451,"priority":332},"references/pattern-schema-versioning.md",{"path":453,"priority":332},"references/pattern-time-series-collections.md",{"basePath":455,"description":456,"displayName":457,"installMethods":458,"rationale":459,"selectedPaths":460,"source":310,"sourceLanguage":242,"type":232},"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",[461,462,464,466,468],{"path":355,"priority":309},{"path":463,"priority":332},"references/hybrid-search.md",{"path":465,"priority":332},"references/lexical-search-indexing.md",{"path":467,"priority":332},"references/lexical-search-querying.md",{"path":469,"priority":332},"references/vector-search.md",{"basePath":471,"description":472,"displayName":473,"installMethods":474,"rationale":475,"selectedPaths":476,"source":310,"sourceLanguage":242,"type":232},"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",[477,478,481,483],{"path":355,"priority":309},{"path":479,"priority":480},"assets/report.md","low",{"path":482,"priority":332},"references/install-skill-validator.md",{"path":484,"priority":332},"references/llm-scoring.md",{"sources":486},[487],"manual",{"closedIssues90d":8,"description":249,"forks":218,"license":223,"openIssues90d":8,"pushedAt":220,"readmeSize":216,"stars":221,"topics":489},[490,491,492,493,494,495],"agent","claude","cursor","gemini-cli-extension","mcp","skills",{"classifiedAt":497,"discoverAt":498,"extractAt":499,"githubAt":499,"updatedAt":497},1778694148853,1778694144419,1778694146756,[200,202,199,201,203],{"evaluatedAt":502,"extractAt":274,"updatedAt":227},1778694226310,[],[505,527,549,571,601,630],{"_creationTime":506,"_id":507,"community":508,"display":509,"identity":512,"providers":513,"relations":521,"tags":523,"workflow":524},1778694415976.5222,"k1766fag8f403pvmj6st943zyn86nnvf",{"reviewCount":8},{"description":510,"installMethods":511,"name":457,"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":455,"githubOwner":199,"githubRepo":230,"locale":18,"slug":457,"type":232},{"evaluate":514,"extract":520},{"promptVersionExtension":192,"promptVersionScoring":193,"score":278,"tags":515,"targetMarket":261,"tier":204},[199,516,517,518,259,519],"atlas-search","vector-search","hybrid-search","search",{"commitSha":264},{"parentExtensionId":235,"repoId":270,"translatedFrom":522},"k17b18bc1pkwm6r3xttpqzefj586ms2r",[516,259,518,199,519,517],{"evaluatedAt":525,"extractAt":274,"updatedAt":526},1778694322274,1778694415976,{"_creationTime":528,"_id":529,"community":530,"display":531,"identity":534,"providers":535,"relations":543,"tags":545,"workflow":546},1778694393651.5916,"k17c83hf8pgdvrdn6t460zm24x86mfpe",{"reviewCount":8},{"description":532,"installMethods":533,"name":381,"sourceUrl":14},"Anleitung für Benutzer zur Konfiguration wichtiger MongoDB MCP-Serveroptionen. Verwenden Sie diese Skill, wenn ein Benutzer den MongoDB MCP-Server installiert hat, aber die erforderlichen Umgebungsvariablen nicht konfiguriert wurden oder wenn er nach der Verbindung zu MongoDB/Atlas fragt und die Anmeldeinformationen nicht eingerichtet sind.",{"claudeCode":12},{"basePath":379,"githubOwner":199,"githubRepo":230,"locale":18,"slug":381,"type":232},{"evaluate":536,"extract":542},{"promptVersionExtension":192,"promptVersionScoring":193,"score":278,"tags":537,"targetMarket":261,"tier":204},[199,494,538,539,540,541],"configuration","setup","authentication","cli",{"commitSha":264},{"parentExtensionId":235,"repoId":270,"translatedFrom":544},"k1798fc1hmtx3bmdgwyn3fet2d86mzt5",[540,541,538,494,199,539],{"evaluatedAt":547,"extractAt":274,"updatedAt":548},1778694262565,1778694393651,{"_creationTime":550,"_id":551,"community":552,"display":553,"identity":557,"providers":558,"relations":565,"tags":567,"workflow":568},1778694378261.7441,"k17fkkx5s0960j77wnp642y0vs86nmq7",{"reviewCount":8},{"description":554,"installMethods":555,"name":556,"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":369,"githubOwner":199,"githubRepo":230,"locale":18,"slug":371,"type":232},{"evaluate":559,"extract":564},{"promptVersionExtension":192,"promptVersionScoring":193,"score":278,"tags":560,"targetMarket":261,"tier":204},[199,259,561,562,563,538],"connection","performance","optimization",{"commitSha":264,"license":223},{"parentExtensionId":235,"repoId":270,"translatedFrom":566},"k175wmq2n17n23xzphj2zzt3qs86n3xd",[538,561,259,199,563,562],{"evaluatedAt":569,"extractAt":274,"updatedAt":570},1778694243014,1778694378261,{"_creationTime":572,"_id":573,"community":574,"display":575,"identity":581,"providers":585,"relations":593,"tags":596,"workflow":597},1778692982565.3235,"k17a9xkbep6cw2hw14pvb53k9n86nycz",{"reviewCount":8},{"description":576,"installMethods":577,"name":579,"sourceUrl":580},"Führen Sie Codierungsaufgaben mit einem strengen Liefer-Workflow aus: Erstellen Sie einen vollständigen Plan, implementieren Sie Schritt für Schritt, führen Sie kontinuierlich Tests durch und committen Sie standardmäßig nach jedem Schritt (`per_step`). Unterstützt explizite Commit-Policy-Überschreibungen (`final_only`, `milestone`) und optional BDD (Given/When/Then), wenn Benutzer verhaltensgesteuerte Bereitstellung anfordern oder Anforderungen unklar sind.",{"claudeCode":578},"majiayu000/vibeguard","fixflow","https://github.com/majiayu000/vibeguard",{"basePath":582,"githubOwner":583,"githubRepo":584,"locale":18,"slug":579,"type":232},"workflows/fixflow","majiayu000","vibeguard",{"evaluate":586,"extract":592},{"promptVersionExtension":192,"promptVersionScoring":193,"score":278,"tags":587,"targetMarket":261,"tier":204},[588,589,260,590,203,591],"code-quality","ai-safety","code-generation","security",{"commitSha":264},{"repoId":594,"translatedFrom":595},"kd7b0vh258xpbyerk68bk3e1ks86mk58","k17bwx69hk0p0w7rnpzvv2p16h86mp2k",[589,590,588,260,591,203],{"evaluatedAt":598,"extractAt":599,"updatedAt":600},1778692812461,1778692607327,1778692982565,{"_creationTime":602,"_id":603,"community":604,"display":605,"identity":611,"providers":615,"relations":624,"tags":626,"workflow":627},1778691799740.4683,"k1794z8maqm6hayneb6tsjvxhs86na8f",{"reviewCount":8},{"description":606,"installMethods":607,"name":609,"sourceUrl":610},"Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.",{"claudeCode":608},"K-Dense-AI/claude-scientific-skills","autoskill","https://github.com/K-Dense-AI/claude-scientific-skills",{"basePath":612,"githubOwner":613,"githubRepo":614,"locale":242,"slug":609,"type":232},"scientific-skills/autoskill","K-Dense-AI","claude-scientific-skills",{"evaluate":616,"extract":622},{"promptVersionExtension":192,"promptVersionScoring":193,"score":278,"tags":617,"targetMarket":261,"tier":204},[203,618,619,620,621],"skill-discovery","research-assistant","llm-integration","screenpipe",{"commitSha":264,"license":623},"MIT",{"repoId":625},"kd79rphh5gexy91xmpxc05h5mh86mm9r",[620,619,621,618,203],{"evaluatedAt":628,"extractAt":629,"updatedAt":628},1778691975656,1778691799740,{"_creationTime":631,"_id":632,"community":633,"display":634,"identity":640,"providers":644,"relations":653,"tags":655,"workflow":656},1778695660274.5046,"k173apcy2h7pqz5877y2hwdw6186my7n",{"reviewCount":8},{"description":635,"installMethods":636,"name":638,"sourceUrl":639},"Change the sync configuration of an existing data warehouse schema — switch sync_type, pick a different incremental_field, set primary_key_columns, choose cdc_table_mode, or change sync_frequency. Use when the user asks \"switch my orders table from full refresh to incremental\", \"this table is syncing too slowly / too frequently\", \"I need to pick a different incremental column\", \"set up CDC for this Postgres table\", or when diagnosis of a failing sync pointed to an incremental-field or PK misconfiguration.\n",{"claudeCode":637},"PostHog/posthog","tuning-incremental-sync-config","https://github.com/PostHog/posthog",{"basePath":641,"githubOwner":642,"githubRepo":643,"locale":242,"slug":638,"type":232},"products/data_warehouse/skills/tuning-incremental-sync-config","PostHog","posthog",{"evaluate":645,"extract":652},{"promptVersionExtension":192,"promptVersionScoring":193,"score":646,"tags":647,"targetMarket":261,"tier":204},99,[648,649,650,651,202],"data-warehouse","sync-configuration","schema-management","etl",{"commitSha":264},{"repoId":654},"kd7f22zf7qb3eschtk9s2qdv4586mfts",[202,648,651,650,649],{"evaluatedAt":657,"extractAt":658,"updatedAt":657},1778697006897,1778695660274]