[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-plugin-mongodb-agent-skills-de":3,"guides-for-mongodb-agent-skills":658,"similar-k178x709871q5q3yse86fgx10h86nker-de":659},{"_creationTime":4,"_id":5,"children":6,"community":193,"display":194,"evaluation":197,"identity":423,"isFallback":408,"parentExtension":426,"providers":455,"relations":461,"repo":462,"tags":655,"workflow":656},1778694361065.2766,"k178x709871q5q3yse86fgx10h86nker",[7,49,76,100,124,146,169],{"_creationTime":8,"_id":9,"community":10,"display":12,"identity":18,"providers":25,"relations":40,"tags":44,"workflow":45},1778694376365.2314,"k172mr6e549mq296cckr6gh9bx86m1cm",{"reviewCount":11},0,{"description":13,"installMethods":14,"name":16,"sourceUrl":17},"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":15},"mongodb/agent-skills","MongoDB Atlas Stream Processing","https://github.com/mongodb/agent-skills",{"basePath":19,"githubOwner":20,"githubRepo":21,"locale":22,"slug":23,"type":24},"skills/atlas-stream-processing","mongodb","agent-skills","de","atlas-stream-processing","skill",{"evaluate":26,"extract":37},{"promptVersionExtension":27,"promptVersionScoring":28,"score":29,"tags":30,"targetMarket":35,"tier":36},"3.0.0","4.4.0",98,[20,31,32,33,34],"atlas","streaming","data-pipelines","workflow-automation","global","verified",{"commitSha":38,"license":39},"HEAD","Apache-2.0",{"parentExtensionId":41,"repoId":42,"translatedFrom":43},"k170hje3xzpy2mbkn00agzm38x86mkbz","kd74vahs1zbjqzqbert490xyrd86nfv5","k172vj2m4hv3ddqwbpnhw0r3m586me7n",[31,33,20,32,34],{"evaluatedAt":46,"extractAt":47,"updatedAt":48},1778694226310,1778694149049,1778694376365,{"_creationTime":50,"_id":51,"community":52,"display":53,"identity":57,"providers":60,"relations":70,"tags":72,"workflow":73},1778694378261.7441,"k17fkkx5s0960j77wnp642y0vs86nmq7",{"reviewCount":11},{"description":54,"installMethods":55,"name":56,"sourceUrl":17},"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":15},"MongoDB Connection Optimizer",{"basePath":58,"githubOwner":20,"githubRepo":21,"locale":22,"slug":59,"type":24},"skills/mongodb-connection","mongodb-connection",{"evaluate":61,"extract":69},{"promptVersionExtension":27,"promptVersionScoring":28,"score":62,"tags":63,"targetMarket":35,"tier":36},100,[20,64,65,66,67,68],"database","connection","performance","optimization","configuration",{"commitSha":38,"license":39},{"parentExtensionId":41,"repoId":42,"translatedFrom":71},"k175wmq2n17n23xzphj2zzt3qs86n3xd",[68,65,64,20,67,66],{"evaluatedAt":74,"extractAt":47,"updatedAt":75},1778694243014,1778694378261,{"_creationTime":77,"_id":78,"community":79,"display":80,"identity":84,"providers":86,"relations":94,"tags":96,"workflow":97},1778694393651.5916,"k17c83hf8pgdvrdn6t460zm24x86mfpe",{"reviewCount":11},{"description":81,"installMethods":82,"name":83,"sourceUrl":17},"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":15},"mongodb-mcp-setup",{"basePath":85,"githubOwner":20,"githubRepo":21,"locale":22,"slug":83,"type":24},"skills/mongodb-mcp-setup",{"evaluate":87,"extract":93},{"promptVersionExtension":27,"promptVersionScoring":28,"score":62,"tags":88,"targetMarket":35,"tier":36},[20,89,68,90,91,92],"mcp","setup","authentication","cli",{"commitSha":38},{"parentExtensionId":41,"repoId":42,"translatedFrom":95},"k1798fc1hmtx3bmdgwyn3fet2d86mzt5",[91,92,68,89,20,90],{"evaluatedAt":98,"extractAt":47,"updatedAt":99},1778694262565,1778694393651,{"_creationTime":101,"_id":102,"community":103,"display":104,"identity":108,"providers":110,"relations":118,"tags":120,"workflow":121},1778694397446.928,"k17dzc6wc8ekasza9qzqhbx9y186m70x",{"reviewCount":11},{"description":105,"installMethods":106,"name":107,"sourceUrl":17},"Generiert schreibgeschützte MongoDB-Abfragen (find) oder Aggregationspipelines mithilfe natürlicher Sprache, mit Kontext zum Schema der Sammlung und Beispieldokumenten. Verwenden Sie diese Fähigkeit immer dann, wenn der Benutzer darum bittet, MongoDB-Abfragen zu schreiben, zu erstellen oder zu generieren, Daten in MongoDB zu filtern/abzufragen/aggregieren möchte, fragt „Wie frage ich...“, Hilfe zur Abfragesyntax benötigt oder über das Finden/Filtern/Gruppieren von MongoDB-Dokumenten spricht. Verwenden Sie diese Fähigkeit auch für die Übersetzung von SQL-ähnlichen Anfragen in die MongoDB-Syntax. Behandelt NICHT Atlas Search ($search-Operator), Vektor-/semantische Suche ($vectorSearch-Operator), Fuzzy-Matching, Autovervollständigungsindizes oder Relevanzbewertung – verwenden Sie dafür search-and-ai. Analysiert oder optimiert KEINE vorhandenen Abfragen – verwenden Sie dafür mongodb-query-optimizer. Behandelt KEINE Aggregationspipelines, die Schreibvorgänge beinhalten. Erfordert MongoDB MCP Server.",{"claudeCode":15},"mongodb-natural-language-querying",{"basePath":109,"githubOwner":20,"githubRepo":21,"locale":22,"slug":107,"type":24},"skills/mongodb-natural-language-querying",{"evaluate":111,"extract":117},{"promptVersionExtension":27,"promptVersionScoring":28,"score":112,"tags":113,"targetMarket":35,"tier":36},99,[20,114,115,116,64],"query-generation","aggregation-pipeline","natural-language",{"commitSha":38},{"parentExtensionId":41,"repoId":42,"translatedFrom":119},"k1744sp92rz5y47qpeam6h30bh86mnmf",[115,64,20,116,114],{"evaluatedAt":122,"extractAt":47,"updatedAt":123},1778694275726,1778694397447,{"_creationTime":125,"_id":126,"community":127,"display":128,"identity":132,"providers":134,"relations":140,"tags":142,"workflow":143},1778694396466.7263,"k178byd3srxghywqysat5rwj5x86nxbv",{"reviewCount":11},{"description":129,"installMethods":130,"name":131,"sourceUrl":17},"Hilfe bei der MongoDB-Abfrageoptimierung und Indizierung. Nur verwenden, wenn der Benutzer nach Optimierung oder Leistung fragt: \"Wie optimiere ich diese Abfrage?\", \"Wie indiziere ich das?\", \"Warum ist diese Abfrage langsam?\", \"Können Sie meine langsamen Abfragen beheben?\", \"Was sind die langsamen Abfragen in meinem Cluster?\", usw. Nicht für die allgemeine MongoDB-Abfrageerstellung aufrufen, es sei denn, der Benutzer fragt nach Hilfe bei Leistung oder Indizes. Indizierung als Optimierungsstrategie bevorzugen. Verwenden Sie MongoDB MCP, wenn verfügbar.",{"claudeCode":15},"mongodb-query-optimizer",{"basePath":133,"githubOwner":20,"githubRepo":21,"locale":22,"slug":131,"type":24},"skills/mongodb-query-optimizer",{"evaluate":135,"extract":139},{"promptVersionExtension":27,"promptVersionScoring":28,"score":112,"tags":136,"targetMarket":35,"tier":36},[20,64,67,66,137,138],"indexing","query-tuning",{"commitSha":38},{"parentExtensionId":41,"repoId":42,"translatedFrom":141},"k174ycv084h7yf3jtsjkctagah86n469",[64,137,20,67,66,138],{"evaluatedAt":144,"extractAt":47,"updatedAt":145},1778694289368,1778694396466,{"_creationTime":147,"_id":148,"community":149,"display":150,"identity":154,"providers":157,"relations":163,"tags":165,"workflow":166},1778694408124.9631,"k17aad80a1qbt1a308jev252m586m6z4",{"reviewCount":11},{"description":151,"installMethods":152,"name":153,"sourceUrl":17},"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":15},"MongoDB Schema Design",{"basePath":155,"githubOwner":20,"githubRepo":21,"locale":22,"slug":156,"type":24},"skills/mongodb-schema-design","mongodb-schema-design",{"evaluate":158,"extract":162},{"promptVersionExtension":27,"promptVersionScoring":28,"score":112,"tags":159,"targetMarket":35,"tier":36},[20,160,64,161,66],"schema","data-modeling",{"commitSha":38,"license":39},{"parentExtensionId":41,"repoId":42,"translatedFrom":164},"k171y6301dax4f21vw91xtyk6986nsan",[161,64,20,66,160],{"evaluatedAt":167,"extractAt":47,"updatedAt":168},1778694306222,1778694408125,{"_creationTime":170,"_id":171,"community":172,"display":173,"identity":177,"providers":179,"relations":187,"tags":189,"workflow":190},1778694415976.5222,"k1766fag8f403pvmj6st943zyn86nnvf",{"reviewCount":11},{"description":174,"installMethods":175,"name":176,"sourceUrl":17},"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":15},"mongodb-search-and-ai",{"basePath":178,"githubOwner":20,"githubRepo":21,"locale":22,"slug":176,"type":24},"skills/mongodb-search-and-ai",{"evaluate":180,"extract":186},{"promptVersionExtension":27,"promptVersionScoring":28,"score":62,"tags":181,"targetMarket":35,"tier":36},[20,182,183,184,64,185],"atlas-search","vector-search","hybrid-search","search",{"commitSha":38},{"parentExtensionId":41,"repoId":42,"translatedFrom":188},"k17b18bc1pkwm6r3xttpqzefj586ms2r",[182,64,184,20,185,183],{"evaluatedAt":191,"extractAt":47,"updatedAt":192},1778694322274,1778694415976,{"reviewCount":11},{"description":195,"installMethods":196,"name":20,"sourceUrl":17},"Offizieller Claude-Plugin für MongoDB (MCP Server + Skills). Stellen Sie eine Verbindung zu Datenbanken her, durchsuchen Sie Daten, verwalten Sie Sammlungen, optimieren Sie Abfragen, generieren Sie zuverlässigen Code, implementieren Sie Best Practices, entwickeln Sie erweiterte Funktionen und mehr.",{"claudeCode":20},{"_creationTime":198,"_id":199,"extensionId":5,"locale":22,"result":200,"trustSignals":406,"workflow":421},1778694361065.2769,"kn79g3k094ypafmh1scmfdyyw586n2br",{"checks":201,"evaluatedAt":383,"extensionSummary":384,"features":385,"nonGoals":391,"promptVersionExtension":27,"promptVersionScoring":28,"purpose":396,"rationale":397,"score":62,"summary":398,"tags":399,"tier":36,"useCases":401},[202,207,210,213,217,220,224,228,231,234,238,242,246,250,253,256,259,262,265,268,272,276,280,284,288,291,294,297,301,304,307,310,313,316,319,323,327,331,334,338,341,344,347,350,352,355,358,361,363,366,370,373,376,380],{"category":203,"check":204,"severity":205,"summary":206},"Praktischer Nutzen","Problemrelevanz","pass","Die Beschreibung identifiziert klar das Problem der Verwaltung von MongoDB Atlas Stream Processing (ASP)-Workflows und ihrer zugehörigen Komponenten.",{"category":203,"check":208,"severity":205,"summary":209},"Alleinstellungsmerkmal","Der Skill bietet eine fokussierte Werkzeugsammlung zur Verwaltung eines spezifischen, komplexen MongoDB-Features (Atlas Stream Processing), die über das hinausgeht, was ein Allzweck-Datenbanktool bieten könnte.",{"category":203,"check":211,"severity":205,"summary":212},"Produktionsreife","Der Skill deckt den gesamten Lebenszyklus von ASP-Workflows ab, von der Entdeckung und Erstellung bis zur Verwaltung und dem Abbau, mit detaillierten Sicherheitsprüfungen und Workflows zur Fehlerbehebung.",{"category":214,"check":215,"severity":205,"summary":216},"Umfang","Prinzip der einzigen Verantwortung","Der Skill konzentriert sich eng auf MongoDB Atlas Stream Processing (ASP)-Workflows und erstreckt sich nicht auf zusammenhanglose Bereiche.",{"category":214,"check":218,"severity":205,"summary":219},"Qualität der Beschreibung","Die Beschreibung ist genau, prägnant und spiegelt die Fähigkeiten des Skills wider, einschließlich seines Fokus auf ASP-Workflows und spezifische Integrationen.",{"category":221,"check":222,"severity":205,"summary":223},"Aufruf","Begrenzte Werkzeuge","Alle vom Skill bereitgestellten Werkzeuge sind eng gefasste Verb-Nomen-Spezialisten für die ASP-Verwaltung, wie z. B. `atlas-streams-discover` und `atlas-streams-build`.",{"category":225,"check":226,"severity":205,"summary":227},"Dokumentation","Konfigurations- & Parameterreferenz","Die Dokumentation beschreibt alle Parameter für Build- und Manage-Aktionen, einschließlich ressourcenspezifischer Felder, Sicherheitsprüfungen und Konventionen für regionale Benennung.",{"category":214,"check":229,"severity":205,"summary":230},"Werkzeugbenennung","Werkzeugnamen wie `atlas-streams-discover`, `atlas-streams-build`, `atlas-streams-manage` und `atlas-streams-teardown` sind beschreibend und spezifisch für die Domäne.",{"category":214,"check":232,"severity":205,"summary":233},"Minimale I/O-Oberfläche","Werkzeugparameter sind für bestimmte Ressourcen (Arbeitsbereich, Verbindung, Prozessor) klar definiert und die Antwortformate sind dokumentiert.",{"category":235,"check":236,"severity":205,"summary":237},"Lizenz","Lizenznutzbarkeit","Das Plugin ist unter Apache-2.0 lizenziert, einer permissiven Open-Source-Lizenz, und die Lizenz ist im `plugin.json` klar angegeben.",{"category":239,"check":240,"severity":205,"summary":241},"Wartung","Aktualität der Commits","Das Repository weist aktuelle Commits auf, was auf aktive Wartung hindeutet.",{"category":239,"check":243,"severity":244,"summary":245},"Abhängigkeitsverwaltung","not_applicable","Die Erweiterung scheint keine externen Abhängigkeiten zu haben, die über den Kern des MongoDB MCP Servers hinaus eine explizite Verwaltung erfordern.",{"category":247,"check":248,"severity":205,"summary":249},"Sicherheit","Geheimnisverwaltung","Der Skill leitet Benutzer korrekt an, sensible Anmeldeinformationen über die dokumentierten Konfigurationsmethoden des MongoDB MCP Servers zu konfigurieren, anstatt sie direkt zu verwalten.",{"category":247,"check":251,"severity":205,"summary":252},"Injektion","Der Skill konzentriert sich auf strukturierte Werkzeugaufrufe und verweist auf externe Dokumentation für Anleitungen, ohne beliebige externe Inhalte als Anweisungen zu laden oder auszuführen.",{"category":247,"check":254,"severity":205,"summary":255},"Transitive Lieferketten-Granaten","Der Skill stützt sich auf den etablierten MCP Server und seine Werkzeuge, ohne Anzeichen für Laufzeitabrufe von Code oder Daten, die das Bundle umgehen.",{"category":247,"check":257,"severity":205,"summary":258},"Sandbox-Isolierung","Der Skill verwendet MCP Server-Werkzeuge, die innerhalb ihres definierten Umfangs arbeiten, und es gibt keine Hinweise auf Operationen außerhalb der beabsichtigten Projektordner.",{"category":247,"check":260,"severity":205,"summary":261},"Sandbox-Escape-Primitive","Die Logik des Skills basiert auf strukturierten MCP-Werkzeugaufrufen, nicht auf Shell-Skripten, wodurch das Risiko von getrennten Prozessen oder Deny-Retry-Schleifen entfällt.",{"category":247,"check":263,"severity":205,"summary":264},"Datenexfiltration","Der Skill enthält keine Anweisungen zum Lesen oder Übermitteln vertraulicher Daten an Dritte; die gesamte Datenverarbeitung erfolgt über die verwalteten Werkzeuge des MCP Servers.",{"category":247,"check":266,"severity":205,"summary":267},"Versteckte Texttricks","Der gebündelte Inhalt und die Dokumentation sind frei von versteckten Lenktricks, Steuerzeichen oder unsichtbaren Unicode-Tags.",{"category":269,"check":270,"severity":205,"summary":271},"Hooks","Undurchsichtige Codeausführung","Die Logik des Skills ist durch direkte Aufrufe dokumentierter MCP Server-Werkzeuge implementiert, ohne verschleierten oder dynamisch abgerufenen Code.",{"category":273,"check":274,"severity":205,"summary":275},"Portabilität","Strukturelle Annahme","Der Skill stützt sich auf den MCP Server und seine Werkzeuge und trifft keine Annahmen über die Dateistruktur des Benutzerprojekts hinaus, die über die erwartete MCP Server-Integration hinausgehen.",{"category":277,"check":278,"severity":205,"summary":279},"Vertrauen","Aufmerksamkeit für Issues","Es gibt keine offenen Issues in den letzten 90 Tagen, was auf ein ausgezeichnetes Engagement der Maintainer hindeutet.",{"category":281,"check":282,"severity":205,"summary":283},"Versionierung","Release-Management","Das Plugin hat eine klar definierte Version (1.1.0) im `plugin.json`-Manifest.",{"category":285,"check":286,"severity":205,"summary":287},"Codeausführung","Validierung","Der Skill verlässt sich auf die strukturierte Eingabe und Validierung, die von den zugrunde liegenden MCP Server-Werkzeugen gehandhabt wird.",{"category":247,"check":289,"severity":205,"summary":290},"Ungeschützte destruktive Operationen","Destruktive Operationen wie Löschungen erfordern eine explizite Benutzerbestätigung und sind durch Sicherheitsprüfungen geschützt, wie in der Dokumentation beschrieben.",{"category":285,"check":292,"severity":205,"summary":293},"Fehlerbehandlung","Der Skill nutzt die Fehlerbehandlung des MCP Servers, und die Dokumentation beschreibt klar, wie Fehler im Zusammenhang mit ASP zu interpretieren und zu debuggen sind.",{"category":285,"check":295,"severity":205,"summary":296},"Protokollierung","Die Aktionen des Skills werden über die Operationen des MCP Servers protokolliert, und der Benutzer kann Diagnosen überprüfen, was den Prinzipien der Audit-Protokollierung entspricht.",{"category":298,"check":299,"severity":205,"summary":300},"Compliance","DSGVO","Der Skill operiert auf der Konfiguration und Verwaltung von Cloud-Ressourcen, nicht auf personenbezogenen Daten, und verlässt sich für die sichere Handhabung von Anmeldeinformationen auf den MCP Server.",{"category":298,"check":302,"severity":205,"summary":303},"Zielmarkt","Der Skill ist global anwendbar, da er MongoDB Atlas-Ressourcen verwaltet, ohne dass regionale Einschränkungen angegeben sind.",{"category":273,"check":305,"severity":205,"summary":306},"Laufzeitstabilität","Die Funktionalität des Skills hängt vom MongoDB MCP Server ab, der auf plattformübergreifende Kompatibilität ausgelegt ist.",{"category":225,"check":308,"severity":205,"summary":309},"README","Das README enthält klare Installationsanweisungen für verschiedene Clients und einen Überblick über den Zweck und die Fähigkeiten des Skills.",{"category":214,"check":311,"severity":205,"summary":312},"Größe der Werkzeugoberfläche","Der Skill stellt vier Kernwerkzeuge (`atlas-streams-discover`, `build`, `manage`, `teardown`) bereit, was im Zielbereich liegt.",{"category":221,"check":314,"severity":205,"summary":315},"Überlappende, ähnliche Werkzeuge","Die Werkzeuge sind unterscheidbar und decken spezifische Aspekte des ASP-Lebenszyklus ab (discover, build, manage, teardown) ohne Überschneidungen.",{"category":225,"check":317,"severity":205,"summary":318},"Phantom-Funktionen","Alle beworbenen Fähigkeiten sind direkt den bereitgestellten MCP-Werkzeugen zugeordnet und in der Dokumentation detailliert beschrieben.",{"category":320,"check":321,"severity":205,"summary":322},"Installation","Installationsanleitung","Detaillierte Installationsanweisungen für mehrere Clients (Claude, Cursor, Codex, Gemini, Copilot CLI, Vercel, lokales Repository) mit Copy-Paste-Beispielen werden bereitgestellt.",{"category":324,"check":325,"severity":205,"summary":326},"Fehler","Handlungsfähige Fehlermeldungen","Die Dokumentation beschreibt erwartete Fehlermeldungen für verschiedene Szenarien und bietet Diagnose-Schritte und Anleitungen zur Fehlerbehebung.",{"category":328,"check":329,"severity":244,"summary":330},"Ausführung","Festgepinnte Abhängigkeiten","Der Skill hängt vom MongoDB MCP Server ab, und die Abhängigkeits-Pinning wird von dieser Komponente verwaltet.",{"category":214,"check":332,"severity":205,"summary":333},"Dry-Run-Vorschau","Obwohl nicht für alle MCP-Werkzeuge eine direkte Dry-Run-Option vorhanden ist, betont der Skill die Benutzerbestätigung und liefert detaillierte Erklärungen der Aktionen vor der Ausführung, insbesondere bei destruktiven Operationen.",{"category":335,"check":336,"severity":205,"summary":337},"Protokoll","Idempotente Wiederholung & Timeouts","Der Skill nutzt die Werkzeuge des MCP Servers, die voraussichtlich Operationen mit angemessenen Timeouts und, wo zutreffend, Idempotenz behandeln.",{"category":298,"check":339,"severity":205,"summary":340},"Telemetry-Opt-in","Der Skill selbst sendet keine Telemetriedaten; Telemetrie würde vom Agenten oder MCP Server gehandhabt, entsprechend deren jeweiligen Opt-in/Opt-out-Mechanismen.",{"category":221,"check":342,"severity":205,"summary":343},"Namenskollisionen","Der gebündelte Skill (`mongodb-atlas-stream-processing`) hat einen eindeutigen Namen und Umfang und vermeidet Kollisionen mit anderen Skills oder MCPs.",{"category":221,"check":345,"severity":244,"summary":346},"Hooks-Off-Mechanismus","Diese Erweiterung verwendet keine Hooks, die einen Hooks-Off-Mechanismus erfordern würden.",{"category":221,"check":348,"severity":244,"summary":349},"Genauigkeit des Hook-Matchers","Diese Erweiterung verwendet keine Hooks.",{"category":247,"check":351,"severity":244,"summary":349},"Hook-Sicherheit",{"category":269,"check":353,"severity":244,"summary":354},"Leise Prompt-Umschreibung","Diese Erweiterung verwendet keine Hooks, die Prompts umschreiben würden.",{"category":247,"check":356,"severity":244,"summary":357},"Berechtigungs-Hook","Diese Erweiterung verwendet keine PermissionRequest-Hooks.",{"category":298,"check":359,"severity":244,"summary":360},"Hook-Datenschutz","Diese Erweiterung verwendet keine Hooks, die Daten über das Netzwerk senden würden.",{"category":285,"check":362,"severity":244,"summary":349},"Hook-Abhängigkeit",{"category":225,"check":364,"severity":205,"summary":365},"Transparenz der Funktionen","Alle kritischen Funktionalitäten werden erklärt und die Rolle des MCP Servers und seiner Werkzeuge ist transparent dokumentiert.",{"category":367,"check":368,"severity":205,"summary":369},"Konvention","Einhaltung der Layout-Konvention","Die Plugin-Struktur folgt Standardkonventionen mit `plugin.json` im Verzeichnis `.claude-plugin/` und Skills im Verzeichnis `skills/`.",{"category":367,"check":371,"severity":205,"summary":372},"Plugin-Zustand","Der Skill selbst ist zustandslos; jeder persistente Zustand würde vom MongoDB MCP Server verwaltet, der Standard-Datenmanagementpraktiken einhält.",{"category":247,"check":374,"severity":205,"summary":375},"Keychain-gespeicherte Geheimnisse","Der Skill stützt sich auf die Konfiguration des MongoDB MCP Servers, der Geheimnisse korrekt über Umgebungsvariablen oder Konfigurationsdateien handhabt, nicht über Klartextspeicherung in Einstellungen.",{"category":377,"check":378,"severity":205,"summary":379},"Abhängigkeiten","Sourcing von getaggten Releases","Der MongoDB MCP Server, von dem dieser Skill abhängt, wird voraussichtlich aus zuverlässigen und versionierten Paketen oder Repositories bezogen.",{"category":320,"check":381,"severity":205,"summary":382},"Saubere Deinstallation","Der Skill installiert keine Hintergrunddienste oder persistenten Dienste; die Deinstallation des Plugins entfernt seine Komponenten sauber.",1778694205204,"Dieser Skill ermöglicht Benutzern die Verwaltung von MongoDB Atlas Stream Processing (ASP)-Workflows, einschließlich der Bereitstellung von Arbeitsbereichen, der Verbindung von Datenquellen/-senken, der Bedienung des Prozessorenlebenszyklus und der Diagnose von Fehlern, unter Verwendung des MongoDB MCP Servers.",[386,387,388,389,390],"Verwaltung von ASP-Workflows und -Ressourcen","Erstellung und Konfiguration von Verbindungen und Prozessoren","Betrieb und Debugging von laufenden Prozessoren","Sicheres Herunterfahren von ASP-Ressourcen","Integration mit MongoDB MCP Server",[392,393,394,395],"Allgemeines Schreiben und Optimieren von MongoDB-Abfragen.","Verwaltung von MongoDB Atlas-Funktionen, die nicht mit ASP zusammenhängen.","Direkte Interaktion mit dem Netzwerk des Cloud-Anbieters außerhalb von Atlas PrivateLink.","Schreiben oder Validieren einzelner Pipeline-Stufen außerhalb des Kontexts der ASP-Werkzeugnutzung.","Bereitstellung einer geführten und sicheren Methode zum Erstellen, Betreiben und Debuggen komplexer Daten-Streaming-Pipelines innerhalb von MongoDB Atlas.","Der Skill ist außerordentlich gut dokumentiert, deckt einen komplexen Bereich mit detaillierten Workflows ab und integriert sich nahtlos in den MongoDB MCP Server, was eine hohe Produktionsreife und Wartbarkeit zeigt. Alle Prüfungen bestanden.","Exzellenter Skill zur Verwaltung von MongoDB Atlas Stream Processing, der umfassende Workflows und robuste Sicherheitsfunktionen bietet.",[20,31,32,33,400],"cloud-management",[402,403,404,405],"Einrichten einer neuen Atlas Stream Processing-Pipeline von Grund auf.","Ändern oder Aktualisieren der Konfiguration eines bestehenden ASP-Prozessors.","Fehlerbehebung und Debugging eines fehlerhaften ASP-Prozessors.","Sicheres Löschen von ASP-Arbeitsbereichen und zugehörigen Ressourcen.",{"codeQuality":407,"collectedAt":409,"documentation":410,"maintenance":413,"security":418,"testCoverage":419},{"hasLockfile":408},false,1778694188482,{"descriptionLength":411,"readmeSize":412},218,2753,{"closedIssues90d":11,"forks":414,"hasChangelog":408,"manifestVersion":415,"openIssues90d":11,"pushedAt":416,"stars":417},20,"1.1.0",1778514087000,111,{"hasNpmPackage":408,"license":39,"smitheryVerified":408},{"hasCi":420,"hasTests":408},true,{"updatedAt":422},1778694361065,{"basePath":424,"githubOwner":20,"githubRepo":21,"locale":22,"slug":21,"type":425},"","plugin",{"_creationTime":427,"_id":428,"community":429,"display":430,"identity":434,"parentExtension":437,"providers":438,"relations":450,"tags":451,"workflow":452},1778694149049.346,"k17bjnvrfwx0ae2fnz7yj78p6h86mewp",{"reviewCount":11},{"description":431,"installMethods":432,"name":433,"sourceUrl":17},"Use the official MongoDB Skills with your favorite coding agent to build faster.",{"claudeCode":15},"mongodb-plugins",{"basePath":424,"githubOwner":20,"githubRepo":21,"locale":435,"slug":21,"type":436},"en","marketplace",null,{"evaluate":439,"extract":445},{"promptVersionExtension":440,"promptVersionScoring":28,"score":441,"tags":442,"targetMarket":35,"tier":444},"3.1.0",75,[20,64,21,443],"developer-tools","community",{"commitSha":38,"marketplace":446,"plugin":448},{"name":433,"pluginCount":447},1,{"mcpCount":11,"provider":449,"skillCount":11},"classify",{"repoId":42},[21,64,443,20],{"evaluatedAt":453,"extractAt":47,"updatedAt":454},1778694174645,1778694461056,{"evaluate":456,"extract":458},{"promptVersionExtension":27,"promptVersionScoring":28,"score":62,"tags":457,"targetMarket":35,"tier":36},[20,31,32,33,400],{"commitSha":38,"license":39,"plugin":459},{"mcpCount":11,"provider":449,"skillCount":460},7,{"parentExtensionId":428,"repoId":42,"translatedFrom":41},{"_creationTime":463,"_id":42,"identity":464,"providers":465,"workflow":651},1778694144418.9976,{"githubOwner":20,"githubRepo":21,"sourceUrl":17},{"classify":466,"discover":641,"github":644},{"commitSha":38,"extensions":467},[468,478,489,517,536,544,550,556,570,612,626],{"basePath":469,"displayName":470,"installMethods":471,"rationale":472,"selectedPaths":473,"source":477,"sourceLanguage":435,"type":436},".agents/plugins","mongodb-agent-skills",{"claudeCode":15},"marketplace.json at .agents/plugins/marketplace.json",[474],{"path":475,"priority":476},"marketplace.json","mandatory","rule",{"basePath":424,"displayName":433,"installMethods":479,"rationale":480,"selectedPaths":481,"source":477,"sourceLanguage":435,"type":436},{"claudeCode":15},"marketplace.json at .claude-plugin/marketplace.json",[482,484,486],{"path":483,"priority":476},".claude-plugin/marketplace.json",{"path":485,"priority":476},"README.md",{"path":487,"priority":488},"LICENSE","high",{"basePath":424,"description":490,"displayName":20,"installMethods":491,"license":39,"rationale":492,"selectedPaths":493,"source":477,"sourceLanguage":435,"type":425},"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":20},"plugin manifest at .claude-plugin/plugin.json",[494,496,497,498,501,503,505,507,509,511,513,515],{"path":495,"priority":476},".claude-plugin/plugin.json",{"path":485,"priority":476},{"path":487,"priority":488},{"path":499,"priority":500},"skills/atlas-stream-processing/SKILL.md","medium",{"path":502,"priority":500},"skills/mongodb-connection/SKILL.md",{"path":504,"priority":500},"skills/mongodb-mcp-setup/SKILL.md",{"path":506,"priority":500},"skills/mongodb-natural-language-querying/SKILL.md",{"path":508,"priority":500},"skills/mongodb-query-optimizer/SKILL.md",{"path":510,"priority":500},"skills/mongodb-schema-design/SKILL.md",{"path":512,"priority":500},"skills/mongodb-search-and-ai/SKILL.md",{"path":514,"priority":488},".codex-plugin/plugin.json",{"path":516,"priority":488},".cursor-plugin/plugin.json",{"basePath":19,"description":518,"displayName":23,"installMethods":519,"rationale":520,"selectedPaths":521,"source":477,"sourceLanguage":435,"type":24},"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.",{"claudeCode":15},"SKILL.md frontmatter at skills/atlas-stream-processing/SKILL.md",[522,524,526,528,530,532,534],{"path":523,"priority":476},"SKILL.md",{"path":525,"priority":500},"references/connection-configs.md",{"path":527,"priority":500},"references/development-workflow.md",{"path":529,"priority":500},"references/mcp-troubleshooting.md",{"path":531,"priority":500},"references/output-diagnostics.md",{"path":533,"priority":500},"references/pipeline-patterns.md",{"path":535,"priority":500},"references/sizing-and-parallelism.md",{"basePath":58,"description":537,"displayName":59,"installMethods":538,"rationale":539,"selectedPaths":540,"source":477,"sourceLanguage":435,"type":24},"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.",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-connection/SKILL.md",[541,542],{"path":523,"priority":476},{"path":543,"priority":500},"references/monitoring-guide.md",{"basePath":85,"description":545,"displayName":83,"installMethods":546,"rationale":547,"selectedPaths":548,"source":477,"sourceLanguage":435,"type":24},"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.",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-mcp-setup/SKILL.md",[549],{"path":523,"priority":476},{"basePath":109,"description":551,"displayName":107,"installMethods":552,"rationale":553,"selectedPaths":554,"source":477,"sourceLanguage":435,"type":24},"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.",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-natural-language-querying/SKILL.md",[555],{"path":523,"priority":476},{"basePath":133,"description":557,"displayName":131,"installMethods":558,"rationale":559,"selectedPaths":560,"source":477,"sourceLanguage":435,"type":24},"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.",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-query-optimizer/SKILL.md",[561,562,564,566,568],{"path":523,"priority":476},{"path":563,"priority":500},"references/aggregation-optimization.md",{"path":565,"priority":500},"references/antipattern-examples.md",{"path":567,"priority":500},"references/core-indexing-principles.md",{"path":569,"priority":500},"references/update-query-examples.md",{"basePath":155,"description":571,"displayName":156,"installMethods":572,"rationale":573,"selectedPaths":574,"source":477,"sourceLanguage":435,"type":24},"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":15},"SKILL.md frontmatter at skills/mongodb-schema-design/SKILL.md",[575,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610],{"path":523,"priority":476},{"path":577,"priority":500},"references/antipattern-excessive-lookups.md",{"path":579,"priority":500},"references/antipattern-unnecessary-collections.md",{"path":581,"priority":500},"references/antipattern-unnecessary-indexes.md",{"path":583,"priority":500},"references/fundamental-document-model.md",{"path":585,"priority":500},"references/fundamental-document-size.md",{"path":587,"priority":500},"references/fundamental-embed-vs-reference.md",{"path":589,"priority":500},"references/fundamental-schema-validation.md",{"path":591,"priority":500},"references/pattern-approximation.md",{"path":593,"priority":500},"references/pattern-archive.md",{"path":595,"priority":500},"references/pattern-attribute.md",{"path":597,"priority":500},"references/pattern-bucket.md",{"path":599,"priority":500},"references/pattern-computed.md",{"path":601,"priority":500},"references/pattern-document-versioning.md",{"path":603,"priority":500},"references/pattern-extended-reference.md",{"path":605,"priority":500},"references/pattern-outlier.md",{"path":607,"priority":500},"references/pattern-polymorphic.md",{"path":609,"priority":500},"references/pattern-schema-versioning.md",{"path":611,"priority":500},"references/pattern-time-series-collections.md",{"basePath":178,"description":613,"displayName":176,"installMethods":614,"rationale":615,"selectedPaths":616,"source":477,"sourceLanguage":435,"type":24},"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",{"claudeCode":15},"SKILL.md frontmatter at skills/mongodb-search-and-ai/SKILL.md",[617,618,620,622,624],{"path":523,"priority":476},{"path":619,"priority":500},"references/hybrid-search.md",{"path":621,"priority":500},"references/lexical-search-indexing.md",{"path":623,"priority":500},"references/lexical-search-querying.md",{"path":625,"priority":500},"references/vector-search.md",{"basePath":627,"description":628,"displayName":629,"installMethods":630,"rationale":631,"selectedPaths":632,"source":477,"sourceLanguage":435,"type":24},"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":15},"SKILL.md frontmatter at tools/review-skill/SKILL.md",[633,634,637,639],{"path":523,"priority":476},{"path":635,"priority":636},"assets/report.md","low",{"path":638,"priority":500},"references/install-skill-validator.md",{"path":640,"priority":500},"references/llm-scoring.md",{"sources":642},[643],"manual",{"closedIssues90d":11,"description":431,"forks":414,"license":39,"openIssues90d":11,"pushedAt":416,"readmeSize":412,"stars":417,"topics":645},[646,647,648,649,89,650],"agent","claude","cursor","gemini-cli-extension","skills",{"classifiedAt":652,"discoverAt":653,"extractAt":654,"githubAt":654,"updatedAt":652},1778694148853,1778694144419,1778694146756,[31,400,33,20,32],{"evaluatedAt":657,"extractAt":47,"updatedAt":422},1778694205322,[],[660,693,723,754,786,811],{"_creationTime":661,"_id":662,"community":663,"display":664,"identity":669,"providers":673,"relations":686,"tags":689,"workflow":690},1778699018122.77,"k17fv8y9mq3zq8svrm9ae1td2s86mdjv",{"reviewCount":11},{"description":665,"installMethods":666,"name":667,"sourceUrl":668},"ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development",{"claudeCode":667},"data-engineering","https://github.com/wshobson/agents",{"basePath":670,"githubOwner":671,"githubRepo":672,"locale":435,"slug":667,"type":425},"plugins/data-engineering","wshobson","agents",{"evaluate":674,"extract":682},{"promptVersionExtension":27,"promptVersionScoring":28,"score":29,"tags":675,"targetMarket":35,"tier":36},[667,676,677,678,679,680,33,681],"etl","data-warehouse","spark","dbt","airflow","machine-learning",{"commitSha":38,"license":683,"plugin":684},"MIT",{"mcpCount":11,"provider":449,"skillCount":685},4,{"parentExtensionId":687,"repoId":688},"k17cywe30jfsfw3cdpncjfn8y186nvyw","kd74de64zj0axtg5b8t7eqqe2x86nske",[680,667,33,677,679,676,681,678],{"evaluatedAt":691,"extractAt":692,"updatedAt":691},1778699340355,1778699018122,{"_creationTime":694,"_id":695,"community":696,"display":697,"identity":703,"providers":707,"relations":717,"tags":719,"workflow":720},1778675056600.2092,"k1778dtsv2r3pktxxpa87vtt7x86n7xh",{"reviewCount":11},{"description":698,"installMethods":699,"name":701,"sourceUrl":702},"Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper script, 3 reference guides, and troubleshooting.",{"claudeCode":700},"snowflake-development","Snowflake Development","https://github.com/alirezarezvani/claude-skills",{"basePath":704,"githubOwner":705,"githubRepo":706,"locale":435,"slug":700,"type":425},"engineering-team/snowflake-development","alirezarezvani","claude-skills",{"evaluate":708,"extract":715},{"promptVersionExtension":27,"promptVersionScoring":28,"score":29,"tags":709,"targetMarket":35,"tier":36},[710,711,33,712,713,679,714],"snowflake","sql","cortex-ai","snowpark","python",{"commitSha":38,"license":683,"plugin":716},{"mcpCount":11,"provider":449,"skillCount":447},{"repoId":718},"kd7ff9s1w43mfyy1n7hf87816186m6px",[712,33,679,714,710,713,711],{"evaluatedAt":721,"extractAt":722,"updatedAt":721},1778676150512,1778675056600,{"_creationTime":724,"_id":725,"community":726,"display":727,"identity":732,"providers":737,"relations":745,"tags":749,"workflow":750},1778698904567.1697,"k176dajd4xk3wz0geyqa538ncd86m86d",{"reviewCount":11},{"description":728,"installMethods":729,"name":730,"sourceUrl":731},"Datentechnik-, ML- und KI-Spezialisten – Datenpipelines, maschinelles Lernen, LLM-Architektur",{"claudeCode":730},"voltagent-data-ai","https://github.com/VoltAgent/awesome-claude-code-subagents",{"basePath":733,"githubOwner":734,"githubRepo":735,"locale":22,"slug":736,"type":425},"categories/05-data-ai","VoltAgent","awesome-claude-code-subagents","05-data-ai",{"evaluate":738,"extract":744},{"promptVersionExtension":27,"promptVersionScoring":28,"score":739,"tags":740,"targetMarket":35,"tier":36},97,[667,681,741,742,33,64,743],"ai","llm","nlp",{"commitSha":38,"license":683},{"parentExtensionId":746,"repoId":747,"translatedFrom":748},"k177jy83mgmpwtgzjm9qkv26mn86mmcm","kd7414ztrsh3tvh3e4bh6672qn86ne05","k176kzhvkthzzw7v2hzx63b98n86n3h5",[741,667,33,64,742,681,743],{"evaluatedAt":751,"extractAt":752,"updatedAt":753},1778698776282,1778698685518,1778698904567,{"_creationTime":755,"_id":756,"community":757,"display":758,"identity":764,"providers":768,"relations":777,"tags":781,"workflow":782},1778696511891.1482,"k17e47jkrstsf2m1garrwf3j6h86mwrk",{"reviewCount":11},{"description":759,"installMethods":760,"name":762,"sourceUrl":763},"Interaktive YAML-Konfiguration und Bloblang-Erstellung für Redpanda Connect",{"claudeCode":761},"redpanda-connect","Redpanda Connect Plugin","https://github.com/redpanda-data/connect",{"basePath":765,"githubOwner":766,"githubRepo":767,"locale":22,"slug":761,"type":425},".claude-plugin/plugins/redpanda-connect","redpanda-data","connect",{"evaluate":769,"extract":774},{"promptVersionExtension":27,"promptVersionScoring":28,"score":739,"tags":770,"targetMarket":35,"tier":36},[771,767,772,773,68,32,443],"redpanda","yaml","bloblang",{"commitSha":38,"license":39,"plugin":775},{"mcpCount":11,"provider":449,"skillCount":776},3,{"parentExtensionId":778,"repoId":779,"translatedFrom":780},"k177tagzj011dbw20ssxcyvrgn86m1ph","kd762e1jtg5w5vsa7s127shyd986mpf4","k173kt11134rx660a52907vmqs86m3z5",[773,68,767,443,771,32,772],{"evaluatedAt":783,"extractAt":784,"updatedAt":785},1778696385561,1778696352596,1778696511891,{"_creationTime":787,"_id":788,"community":789,"display":790,"identity":795,"providers":798,"relations":805,"tags":807,"workflow":808},1778693180473.0967,"k175n69jgt5zrt5zxqq521d93n86nw0c",{"reviewCount":11},{"description":791,"installMethods":792,"name":793,"sourceUrl":794},"Foundry-platform fluency for any language. One orchestrator + 10 sub-skills covering hosted agents, intent-based toolboxes, multi-agent workflows, Foundry IQ knowledge bases, managed skills, long-term memory, observability and evaluations, and governance via the Foundry Control Plane. Bundles Azure MCP, Foundry MCP (mcp.ai.azure.com), and Microsoft Docs MCP for live operations and always-current docs.",{"claudeCode":793},"microsoft-foundry","https://github.com/microsoft/agent-skills",{"basePath":796,"githubOwner":797,"githubRepo":21,"locale":435,"slug":793,"type":425},".github/plugins/microsoft-foundry","microsoft",{"evaluate":799,"extract":804},{"promptVersionExtension":27,"promptVersionScoring":28,"score":800,"tags":801,"targetMarket":35,"tier":36},95,[802,803,672,89,443,400],"foundry","azure-ai",{"commitSha":38,"license":683},{"repoId":806},"kd77czgnv00rfjm815pcc5xx5986n5t8",[672,803,400,443,802,89],{"evaluatedAt":809,"extractAt":810,"updatedAt":809},1778693555039,1778693180473,{"_creationTime":812,"_id":813,"community":814,"display":815,"identity":820,"providers":825,"relations":833,"tags":835,"workflow":836},1778695660274.4944,"k174w466wd6m6h5n2avacwn0jn86mhbw",{"reviewCount":11},{"description":816,"installMethods":817,"name":818,"sourceUrl":819},"Filter out events where property values satisfy the given condition",{"claudeCode":818},"Filter Out Plugin","https://github.com/PostHog/posthog",{"basePath":821,"githubOwner":822,"githubRepo":823,"locale":435,"slug":824,"type":425},"nodejs/src/cdp/legacy-plugins/_transformations/posthog-filter-out-plugin","PostHog","posthog","posthog-filter-out-plugin",{"evaluate":826,"extract":832},{"promptVersionExtension":27,"promptVersionScoring":28,"score":827,"tags":828,"targetMarket":35,"tier":444},90,[829,830,33,823,831],"filtering","events","analytics",{"commitSha":38},{"repoId":834},"kd7f22zf7qb3eschtk9s2qdv4586mfts",[831,33,830,829,823],{"evaluatedAt":837,"extractAt":838,"updatedAt":837},1778696264798,1778695660274]