[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-lllllllama-paper-context-resolver-de":3,"guides-for-lllllllama-paper-context-resolver":502,"similar-k17dwqn1ewtpyxhm3n0cgpnqc986npqg-de":503},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":241,"isFallback":226,"parentExtension":246,"providers":247,"relations":253,"repo":256,"tags":498,"workflow":499},1778692748918.8394,"k17dwqn1ewtpyxhm3n0cgpnqc986npqg",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Optional, narrowly focused helper skill for AI repository reproduction based on the README. Use only when the README and repository files leave a specific, reproduction-critical gap, and the task is to resolve a particular detail from primary paper sources (such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption) while documenting conflicts. Do not use for general paper summarization, repository scanning, environment setup, command execution, title-only paper lookup, or as a default replacement for README guidance.",{"claudeCode":12},"lllllllama/ai-paper-reproduction-skill","paper-context-resolver","https://github.com/lllllllama/ai-paper-reproduction-skill",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":224,"workflow":239},1778692748918.8396,"kn773px1gwmq9eec9za268y00586msf6","de",{"checks":20,"evaluatedAt":195,"extensionSummary":196,"features":197,"nonGoals":202,"promptVersionExtension":207,"promptVersionScoring":208,"purpose":209,"rationale":210,"score":211,"summary":212,"tags":213,"tier":219,"useCases":220},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,113,116,120,123,126,129,132,135,138,142,146,150,153,157,160,163,166,169,173,176,180,183,186,189,192],{"category":22,"check":23,"severity":24,"summary":25},"Praktischer Nutzen","Problemrelevanz","pass","Die Beschreibung stellt klar das Problem der Auflösung von reproduktionskritischen Lücken in der KI-Forschung dar und beschreibt spezifisch, wann und wann der Skill nicht verwendet werden sollte.",{"category":22,"check":27,"severity":24,"summary":28},"Alleinstellungsmerkmal","Der Skill bietet ein einzigartiges Wertversprechen, indem er gezielt spezifische Paper-Details auflöst, um die Reproduktion bei einer engen Lücke zu ermöglichen, und über allgemeine Paper-Zusammenfassungen oder README-Anleitungen hinausgeht.",{"category":22,"check":30,"severity":24,"summary":31},"Produktionsreife","Der Skill scheint produktionsreif zu sein, da er dazu dient, einen bestehenden Reproduktions-Workflow zu ergänzen und dokumentierte Ein- und Ausgaben aufweist.",{"category":33,"check":34,"severity":24,"summary":35},"Umfang","Prinzip der einzigen Verantwortung","Der Skill hat eine einzige, eng gefasste Verantwortung, die sich auf die Auflösung spezifischer Details aus primären Paper-Quellen zur Ergänzung von KI-Repo-Reproduktionsbemühungen konzentriert.",{"category":33,"check":37,"severity":24,"summary":38},"Qualität der Beschreibung","Die angezeigte Beschreibung spiegelt den Zweck, den Umfang und die Einschränkungen des Skills korrekt wider, wie im SKILL.md und README detailliert.",{"category":40,"check":41,"severity":42,"summary":43},"Aufruf","Geltungsbereich von Werkzeugen","not_applicable","Dies ist ein auf Prompts basierender Skill und stellt keine Werkzeuge im herkömmlichen Sinne bereit.",{"category":45,"check":46,"severity":42,"summary":47},"Dokumentation","Konfigurations- & Parameterreferenz","Der Skill scheint keine konfigurierbaren Parameter über seine Kernfunktion hinaus zu haben.",{"category":33,"check":49,"severity":24,"summary":50},"Werkzeugbenennung","Der Skill-Name 'paper-context-resolver' ist beschreibend und passt zu seiner Funktion.",{"category":33,"check":52,"severity":24,"summary":53},"Minimale I/O-Schnittstelle","Die erwarteten Ein- und Ausgaben des Skills sind klar definiert und scheinen für seinen angegebenen Zweck minimal zu sein.",{"category":55,"check":56,"severity":24,"summary":57},"Lizenz","Lizenznutzbarkeit","Das Repository enthält eine MIT-Lizenzdatei, eine permissive Open-Source-Lizenz.",{"category":59,"check":60,"severity":24,"summary":61},"Wartung","Aktualität der Commits","Das Repository hat aktuelle Commits, der letzte Push war am 2026-05-09, was auf aktive Wartung hindeutet.",{"category":59,"check":63,"severity":42,"summary":64},"Abhängigkeitsmanagement","Der Skill scheint keine externen Abhängigkeiten zu haben, die über Python-Skripte hinaus explizit verwaltet werden müssen.",{"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 konzentriert sich auf die Verarbeitung bereitgestellter Informationen und lädt oder führt keine externen, nicht vertrauenswürdigen Codes oder Daten aus.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Lieferketten-Granaten","Der Skill arbeitet mit bereitgestellten Metadaten und ruft zur Laufzeit keine externen Inhalte ab.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox-Isolation","Die Funktion des Skills ist die Informationsbeschaffung und -verarbeitung, keine Modifikation des Dateisystems außerhalb seines beabsichtigten Umfangs.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox-Escape-Primitive","Es sind keine losen Prozesse oder Wiederholungsversuche bei verweigerten Aufrufen im Skill-Beschreibung erkennbar.",{"category":66,"check":82,"severity":24,"summary":83},"Datenexfiltration","Der Zweck des Skills ist die Auflösung von Paper-Details und beinhaltet nicht das Lesen oder Übermitteln vertraulicher Daten.",{"category":66,"check":85,"severity":24,"summary":86},"Versteckte Texttricks","Der enthaltene Inhalt scheint frei von versteckten Lenkungstricks zu sein; Beschreibungen sind saubere, druckbare ASCII.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaker Code-Ausführung","Die Logik des Skills ist in einfacher Sprache beschrieben und beinhaltet keinen verschleierten Code oder das Abrufen von Skripten zur Laufzeit.",{"category":92,"check":93,"severity":24,"summary":94},"Portabilität","Strukturelle Annahme","Der Skill trifft keine strukturellen Annahmen über das Projektlayout des Benutzers hinaus, abgesehen von der Notwendigkeit eines READMEs oder eines Paper-Links.",{"category":96,"check":97,"severity":24,"summary":98},"Vertrauen","Aufmerksamkeit für Issues","Es gibt 0 offene und 0 geschlossene Issues in den letzten 90 Tagen, was auf geringe Aktivität, aber keine unadressierten Probleme hindeutet.",{"category":100,"check":101,"severity":24,"summary":102},"Versionierung","Release-Management","Das Repository hat eine CHANGELOG.md, was darauf hindeutet, dass Versionspraktiken vorhanden sind.",{"category":104,"check":105,"severity":42,"summary":106},"Code-Ausführung","Validierung","Die Hauptfunktion des Skills ist die promptbasierte Informationsverarbeitung, nicht die direkte Ausführung beliebiger Eingaben, die eine Schema-Validierung erfordern.",{"category":66,"check":108,"severity":24,"summary":109},"Ungeschützte destruktive Operationen","Der Skill ist schreibgeschützt und führt keine destruktiven Operationen durch.",{"category":104,"check":111,"severity":24,"summary":112},"Fehlerbehandlung","Die Beschreibung des Skills impliziert eine klare Berichterstattung über Ergebnisse und Konflikte, was auf eine strukturierte Fehlerbehandlung hindeutet.",{"category":104,"check":114,"severity":42,"summary":115},"Protokollierung","Als promptbasierter Skill zur Informationsbeschaffung ist eine explizite lokale Audit-Protokollierung nicht anwendbar.",{"category":117,"check":118,"severity":42,"summary":119},"Compliance","DSGVO","Der Skill verarbeitet keine personenbezogenen Daten; er löst Informationen aus Papers und Repositories auf.",{"category":117,"check":121,"severity":24,"summary":122},"Zielmarkt","Der Skill wird als allgemeiner Helfer für die Reproduktion von KI-Forschung beschrieben und hat keine regionalen Einschränkungen, daher 'global'.",{"category":92,"check":124,"severity":24,"summary":125},"Laufzeitstabilität","Der Skill wird als Hilfs-Skill beschrieben, was auf Kompatibilität mit Standard-Claude-Umgebungen hindeutet, und beinhaltet keine Skripte mit spezifischen Stack-Annahmen.",{"category":45,"check":127,"severity":24,"summary":128},"README","Die README-Datei enthält umfassende Informationen über das Repository, seine Skills und Installationsanweisungen.",{"category":33,"check":130,"severity":42,"summary":131},"Größe der Werkzeug-Oberfläche","Dies ist ein einzelner Skill, keine Sammlung mehrerer Werkzeuge.",{"category":40,"check":133,"severity":42,"summary":134},"Überlappende Nahe-Synonym-Werkzeuge","Als einzelner Skill gibt es keine überlappenden Werkzeuge.",{"category":45,"check":136,"severity":24,"summary":137},"Phantom-Features","Alle beworbenen Fähigkeiten in der Beschreibung und SKILL.md scheinen implementiert oder direkt von der beschriebenen Funktion unterstützt zu werden.",{"category":139,"check":140,"severity":24,"summary":141},"Installation","Installationsanleitung","Das README enthält klare Installationsanweisungen mit `npx skills add` und `python scripts/install_skills.py`.",{"category":143,"check":144,"severity":24,"summary":145},"Fehler","Handlungsauffordernde Fehlermeldungen","Die Beschreibung des Skills impliziert eine klare Berichterstattung über Ergebnisse und Konflikte, was auf handlungsauffordernde Fehlermeldungen hindeutet.",{"category":147,"check":148,"severity":42,"summary":149},"Ausführung","Angepinnte Abhängigkeiten","Es werden keine expliziten externen Skript-Abhängigkeiten deklariert oder benötigt, die über Standard-Python-Interpreter hinausgehen.",{"category":33,"check":151,"severity":42,"summary":152},"Trockenlauf-Vorschau","Dieser Skill ist rein analytisch und führt keine zustandsverändernden Operationen durch.",{"category":154,"check":155,"severity":42,"summary":156},"Protokoll","Idempotente Wiederholung & Timeouts","Der Skill beinhaltet keine Remote-Aufrufe oder zustandsverändernden Operationen, die Idempotenz oder Timeouts erfordern würden.",{"category":117,"check":158,"severity":42,"summary":159},"Telemetrie Opt-in","Es gibt keine Hinweise darauf, dass dieser Skill Telemetriedaten sendet.",{"category":40,"check":161,"severity":24,"summary":162},"Präziser Zweck","Der Zweck des Skills ist präzise definiert, gibt an, was er tut (spezifische Paper-Details auflösen) und wann er verwendet werden sollte (enge, reproduktionskritische Lücke), mit klaren Grenzen.",{"category":40,"check":164,"severity":24,"summary":165},"Prägnantes Frontmatter","Das SKILL.md Frontmatter ist prägnant und fasst die Kernfähigkeit und Auslösebedingungen effektiv zusammen.",{"category":45,"check":167,"severity":24,"summary":168},"Prägnanter Hauptteil","Der SKILL.md Hauptteil ist prägnant und beschreibt den Zweck, die Verwendung und die Grenzen, während detailliertere Referenzen an anderer Stelle nachgeschlagen werden.",{"category":170,"check":171,"severity":24,"summary":172},"Kontext","Progressive Offenlegung","Die SKILL.md verweist auf `references/paper-assisted-reproduction.md` für detailliertere Anleitungen und demonstriert so progressive Offenlegung.",{"category":170,"check":174,"severity":42,"summary":175},"Gegabelte Erkundung","Dieser Skill ist kein Erkundungs- oder Audit-Skill, sondern ein schmaler Helfer zur Informationsbeschaffung.",{"category":22,"check":177,"severity":178,"summary":179},"Anwendungsbeispiele","info","Obwohl der Zweck und die Ein-/Ausgaben des Skills klar sind, fehlen explizite End-to-End-Anwendungsbeispiele, die die Ausführung und das Ergebnis zeigen, im SKILL.md oder README.",{"category":22,"check":181,"severity":24,"summary":182},"Randfälle","Die Beschreibung des Skills listet explizit 'Wann nicht anzuwenden'-Szenarien und 'Klare Grenzen' auf und behandelt somit potenzielle Randfälle und Einschränkungen.",{"category":104,"check":184,"severity":42,"summary":185},"Werkzeug-Fallback","Dieser Skill ist nicht auf externe Werkzeuge wie MCP-Server angewiesen und benötigt daher keine Fallbacks.",{"category":92,"check":187,"severity":24,"summary":188},"Stack-Annahmen","Der Skill wird als Helfer beschrieben, was eine Kompatibilität mit der Standard-Claude-Code-Laufzeitumgebung impliziert, und enthält keine Skripte mit spezifischen Stack-Annahmen.",{"category":66,"check":190,"severity":24,"summary":191},"Halt bei unerwartetem Zustand","Die Abschnitte 'Klare Grenzen' und 'Wann nicht anzuwenden' implizieren, dass der Skill nicht fortfährt, wenn Vorbedingungen nicht erfüllt sind oder er außerhalb seines Geltungsbereichs verwendet wird.",{"category":92,"check":193,"severity":24,"summary":194},"Übergreifende Skill-Kopplung","Der Skill wird als Helfer beschrieben und gibt explizit an, dass er von einem Orchestrator aufgerufen werden sollte, was impliziert, dass er eigenständig oder gezielt integriert werden kann.",1778692586585,"Dieser Skill löst spezifische, kritische Details aus primären Paper-Quellen (wie Datensatzaufteilungen oder Evaluationsprotokolle) auf, um die Reproduktion von KI-Repositories zu ermöglichen, wenn das README oder die Repository-Dateien unklar sind. Er dient als fokussierte Informationsergänzung, nicht als allgemeiner Paper-Zusammenfasser.",[198,199,200,201],"Löst reproduktionskritische Paper-Details auf","Zielt auf Datensatzaufteilungen, Vorverarbeitung, Evaluationsprotokolle und Laufzeitannahmen ab","Dokumentiert Konflikte zwischen README und primären Paper-Quellen","Ergänzt README-basierte Reproduktionsbemühungen",[203,204,205,206],"Allgemeine Paper-Zusammenfassung oder -Erklärung","Repository-Scans oder Umgebungseinrichtung","Befehlsausführung oder standardmäßige Ersetzung von README-Anleitungen","Überschreiben von README-Anweisungen ohne Dokumentation des Konflikts","3.0.0","4.4.0","Eng umrissene, gezielte Unterstützung bei der Auflösung spezifischer Details aus primären Paper-Quellen, die für die Reproduktion von KI-Forschungs-Repositories kritisch sind, insbesondere wenn eine Lücke zwischen dem README und dem Paper besteht.","Der Skill ist gut dokumentiert, hat einen klaren und fokussierten Zweck und zeigt gute Wartungspraktiken. Der einzige kleine Kritikpunkt ist das Fehlen expliziter Anwendungsbeispiele.",95,"Ein gut definierter und dokumentierter Hilfs-Skill zur Auflösung spezifischer Reproduktionslücken in KI-Forschungsarbeiten.",[214,215,216,217,218],"ai","research","reproduction","documentation","paper","verified",[221,222,223],"Verwenden Sie ihn, wenn das README und die Repository-Dateien eine enge, reproduktionskritische Lücke in Bezug auf spezifische Paper-Details hinterlassen.","Verwenden Sie ihn, wenn der Haupt-Skill eine enge Beweisergänzung zur Auflösung einer konkreten Reproduktionsfrage benötigt.","Verwenden Sie ihn, um Konflikte zwischen README-Anweisungen und Details aus primären Paper-Quellen zu identifizieren und zu dokumentieren.",{"codeQuality":225,"collectedAt":227,"documentation":228,"maintenance":231,"security":236,"testCoverage":238},{"hasLockfile":226},false,1778692567644,{"descriptionLength":229,"readmeSize":230},517,22701,{"closedIssues90d":8,"forks":232,"hasChangelog":233,"openIssues90d":8,"pushedAt":234,"stars":235},4,true,1778347974000,75,{"hasNpmPackage":226,"license":237,"smitheryVerified":226},"MIT",{"hasCi":233,"hasTests":233},{"updatedAt":240},1778692748918,{"basePath":242,"githubOwner":243,"githubRepo":244,"locale":18,"slug":13,"type":245},"skills/paper-context-resolver","lllllllama","ai-paper-reproduction-skill","skill",null,{"evaluate":248,"extract":251},{"promptVersionExtension":207,"promptVersionScoring":208,"score":211,"tags":249,"targetMarket":250,"tier":219},[214,215,216,217,218],"global",{"commitSha":252},"HEAD",{"repoId":254,"translatedFrom":255},"kd7629v5mqesxwwe9w7qtfgp7d86n6re","k175ertwjfkcvp66gkbsvvsjf586mb1e",{"_creationTime":257,"_id":254,"identity":258,"providers":259,"workflow":494},1778692391648.3123,{"githubOwner":243,"githubRepo":244,"sourceUrl":14},{"classify":260,"discover":488,"github":491},{"commitSha":252,"extensions":261},[262,340,370,382,402,415,428,441,449,463,476],{"basePath":263,"description":264,"displayName":265,"installMethods":266,"rationale":267,"selectedPaths":268,"source":338,"sourceLanguage":339,"type":245},"skills/ai-research-explore","Explore-lane end-to-end orchestrator for the third research scenario: the researcher has already chosen the task family, dataset, benchmark, evaluation method, and provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, or implicit experimentation.","ai-research-explore",{"claudeCode":12},"SKILL.md frontmatter at skills/ai-research-explore/SKILL.md",[269,272,275,277,279,281,283,285,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336],{"path":270,"priority":271},"SKILL.md","mandatory",{"path":273,"priority":274},"references/ai-research-explore-policy.md","medium",{"path":276,"priority":274},"references/idea-evaluation-framework.md",{"path":278,"priority":274},"references/research-campaign-spec.md",{"path":280,"priority":274},"references/smoke-validation-policy.md",{"path":282,"priority":274},"references/source-mapping-policy.md",{"path":284,"priority":274},"references/sources-naming-policy.md",{"path":286,"priority":287},"scripts/lookup/__init__.py","low",{"path":289,"priority":287},"scripts/lookup/cache_store.py",{"path":291,"priority":287},"scripts/lookup/inventory_writer.py",{"path":293,"priority":287},"scripts/lookup/normalizers.py",{"path":295,"priority":287},"scripts/lookup/providers/__init__.py",{"path":297,"priority":287},"scripts/lookup/providers/arxiv_provider.py",{"path":299,"priority":287},"scripts/lookup/providers/base.py",{"path":301,"priority":287},"scripts/lookup/providers/doi_provider.py",{"path":303,"priority":287},"scripts/lookup/providers/github_provider.py",{"path":305,"priority":287},"scripts/lookup/providers/optional_provider.py",{"path":307,"priority":287},"scripts/lookup/providers/url_provider.py",{"path":309,"priority":287},"scripts/lookup/record_schema.py",{"path":311,"priority":287},"scripts/lookup/repo_extractors.py",{"path":313,"priority":287},"scripts/lookup/source_support.py",{"path":315,"priority":287},"scripts/orchestrate_explore.py",{"path":317,"priority":287},"scripts/passes/__init__.py",{"path":319,"priority":287},"scripts/passes/atomic_idea_decomposition.py",{"path":321,"priority":287},"scripts/passes/candidate_idea_generation.py",{"path":323,"priority":287},"scripts/passes/execution_feasibility.py",{"path":325,"priority":287},"scripts/passes/idea_cards.py",{"path":327,"priority":287},"scripts/passes/idea_ranking.py",{"path":329,"priority":287},"scripts/passes/implementation_fidelity.py",{"path":331,"priority":287},"scripts/passes/improvement_bank.py",{"path":333,"priority":287},"scripts/passes/lookup_sources.py",{"path":335,"priority":287},"scripts/passes/source_mapping.py",{"path":337,"priority":287},"scripts/write_outputs.py","rule","en",{"basePath":341,"description":342,"displayName":343,"installMethods":344,"rationale":345,"selectedPaths":346,"source":338,"sourceLanguage":339,"type":245},"skills/ai-research-reproduction","Main orchestrator for README-first AI repo reproduction. Use when the user wants an end-to-end, minimal-trustworthy reproduction flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, or broad research assistance outside repository-grounded reproduction.","ai-research-reproduction",{"claudeCode":12},"SKILL.md frontmatter at skills/ai-research-reproduction/SKILL.md",[347,348,350,352,354,356,358,360,362,364,366,368],{"path":270,"priority":271},{"path":349,"priority":287},"assets/COMMANDS.template.md",{"path":351,"priority":287},"assets/LOG.template.md",{"path":353,"priority":287},"assets/PATCHES.template.md",{"path":355,"priority":287},"assets/SUMMARY.template.md",{"path":357,"priority":287},"assets/status.template.json",{"path":359,"priority":274},"references/architecture.md",{"path":361,"priority":274},"references/language-policy.md",{"path":363,"priority":274},"references/output-spec.md",{"path":365,"priority":274},"references/patch-policy.md",{"path":367,"priority":274},"references/research-safety-principles.md",{"path":369,"priority":287},"scripts/orchestrate_repro.py",{"basePath":371,"description":372,"displayName":373,"installMethods":374,"rationale":375,"selectedPaths":376,"source":338,"sourceLanguage":339,"type":245},"skills/analyze-project","Trusted-lane analysis skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without modifying code or running heavy jobs. Do not use for active command execution, broad refactoring, speculative code adaptation, or automatic bug fixing.","analyze-project",{"claudeCode":12},"SKILL.md frontmatter at skills/analyze-project/SKILL.md",[377,378,380],{"path":270,"priority":271},{"path":379,"priority":274},"references/analysis-policy.md",{"path":381,"priority":287},"scripts/analyze_project.py",{"basePath":383,"description":384,"displayName":385,"installMethods":386,"rationale":387,"selectedPaths":388,"source":338,"sourceLanguage":339,"type":245},"skills/env-and-assets-bootstrap","Environment and assets sub-skill for README-first AI repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.","env-and-assets-bootstrap",{"claudeCode":12},"SKILL.md frontmatter at skills/env-and-assets-bootstrap/SKILL.md",[389,390,392,394,396,398,400],{"path":270,"priority":271},{"path":391,"priority":274},"references/assets-policy.md",{"path":393,"priority":274},"references/env-policy.md",{"path":395,"priority":287},"scripts/bootstrap_env.py",{"path":397,"priority":287},"scripts/bootstrap_env.sh",{"path":399,"priority":287},"scripts/plan_setup.py",{"path":401,"priority":287},"scripts/prepare_assets.py",{"basePath":403,"description":404,"displayName":405,"installMethods":406,"rationale":407,"selectedPaths":408,"source":338,"sourceLanguage":339,"type":245},"skills/explore-code","Explore-lane code adaptation skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together low-risk migration ideas with summary-only records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, or default repository analysis.","explore-code",{"claudeCode":12},"SKILL.md frontmatter at skills/explore-code/SKILL.md",[409,410,412,414],{"path":270,"priority":271},{"path":411,"priority":274},"references/explore-policy.md",{"path":413,"priority":287},"scripts/plan_code_changes.py",{"path":337,"priority":287},{"basePath":416,"description":417,"displayName":418,"installMethods":419,"rationale":420,"selectedPaths":421,"source":338,"sourceLanguage":339,"type":245},"skills/explore-run","Explore-lane experimental execution skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with results summarized in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, or implicit experimentation.","explore-run",{"claudeCode":12},"SKILL.md frontmatter at skills/explore-run/SKILL.md",[422,423,425,427],{"path":270,"priority":271},{"path":424,"priority":274},"references/execution-policy.md",{"path":426,"priority":287},"scripts/plan_variants.py",{"path":337,"priority":287},{"basePath":429,"description":430,"displayName":431,"installMethods":432,"rationale":433,"selectedPaths":434,"source":338,"sourceLanguage":339,"type":245},"skills/minimal-run-and-audit","Trusted-lane execution and reporting skill for README-first AI repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, or end-to-end orchestration by itself.","minimal-run-and-audit",{"claudeCode":12},"SKILL.md frontmatter at skills/minimal-run-and-audit/SKILL.md",[435,436,438,440],{"path":270,"priority":271},{"path":437,"priority":274},"references/reporting-policy.md",{"path":439,"priority":287},"scripts/run_command.py",{"path":337,"priority":287},{"basePath":242,"description":442,"displayName":13,"installMethods":443,"rationale":444,"selectedPaths":445,"source":338,"sourceLanguage":339,"type":245},"Optional narrow helper skill for README-first AI repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.",{"claudeCode":12},"SKILL.md frontmatter at skills/paper-context-resolver/SKILL.md",[446,447],{"path":270,"priority":271},{"path":448,"priority":274},"references/paper-assisted-reproduction.md",{"basePath":450,"description":451,"displayName":452,"installMethods":453,"rationale":454,"selectedPaths":455,"source":338,"sourceLanguage":339,"type":245},"skills/repo-intake-and-plan","Narrow helper skill for README-first AI repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.","repo-intake-and-plan",{"claudeCode":12},"SKILL.md frontmatter at skills/repo-intake-and-plan/SKILL.md",[456,457,459,461],{"path":270,"priority":271},{"path":458,"priority":274},"references/repo-scan-rules.md",{"path":460,"priority":287},"scripts/extract_commands.py",{"path":462,"priority":287},"scripts/scan_repo.py",{"basePath":464,"description":465,"displayName":466,"installMethods":467,"rationale":468,"selectedPaths":469,"source":338,"sourceLanguage":339,"type":245},"skills/run-train","Trusted-lane training execution skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with status, checkpoint, and metric capture written to standardized `train_outputs/`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.","run-train",{"claudeCode":12},"SKILL.md frontmatter at skills/run-train/SKILL.md",[470,471,473,475],{"path":270,"priority":271},{"path":472,"priority":274},"references/training-policy.md",{"path":474,"priority":287},"scripts/run_training.py",{"path":337,"priority":287},{"basePath":477,"description":478,"displayName":479,"installMethods":480,"rationale":481,"selectedPaths":482,"source":338,"sourceLanguage":339,"type":245},"skills/safe-debug","Trusted-lane debug skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.","safe-debug",{"claudeCode":12},"SKILL.md frontmatter at skills/safe-debug/SKILL.md",[483,484,486],{"path":270,"priority":271},{"path":485,"priority":274},"references/debug-policy.md",{"path":487,"priority":287},"scripts/safe_debug.py",{"sources":489},[490],"manual",{"closedIssues90d":8,"description":492,"forks":232,"license":237,"openIssues90d":8,"pushedAt":234,"readmeSize":230,"stars":235,"topics":493},"",[],{"classifiedAt":495,"discoverAt":496,"extractAt":497,"githubAt":497,"updatedAt":495},1778692395631,1778692391648,1778692393876,[214,217,218,216,215],{"evaluatedAt":500,"extractAt":501,"updatedAt":240},1778692586693,1778692396032,[],[504,533,564,593,617,647],{"_creationTime":505,"_id":506,"community":507,"display":508,"identity":514,"providers":518,"relations":526,"tags":529,"workflow":530},1778699234184.6135,"k175frmf44tn80mcd6gvw1c1th86ngq9",{"reviewCount":8},{"description":509,"installMethods":510,"name":512,"sourceUrl":513},"Invoke parallel document-specialist agents for external web searches and documentation lookup",{"claudeCode":511},"Yeachan-Heo/oh-my-claudecode","external-context","https://github.com/Yeachan-Heo/oh-my-claudecode",{"basePath":515,"githubOwner":516,"githubRepo":517,"locale":339,"slug":512,"type":245},"skills/external-context","Yeachan-Heo","oh-my-claudecode",{"evaluate":519,"extract":525},{"promptVersionExtension":207,"promptVersionScoring":208,"score":520,"tags":521,"targetMarket":250,"tier":219},100,[522,217,215,523,524],"search","information-retrieval","multi-agent",{"commitSha":252},{"parentExtensionId":527,"repoId":528},"k17brg5egdw1jbncj1j4wfv3fh86n639","kd74zv63fryf9prygtq7gf4es986n22y",[217,523,524,215,522],{"evaluatedAt":531,"extractAt":532,"updatedAt":531},1778699449790,1778699234184,{"_creationTime":534,"_id":535,"community":536,"display":537,"identity":543,"providers":548,"relations":557,"tags":560,"workflow":561},1778696691708.3274,"k170az7r02e9e2v47mpy80kx6n86nff3",{"reviewCount":8},{"description":538,"installMethods":539,"name":541,"sourceUrl":542},"Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy",{"claudeCode":540},"ruvnet/ruflo","Trader Regime","https://github.com/ruvnet/ruflo",{"basePath":544,"githubOwner":545,"githubRepo":546,"locale":339,"slug":547,"type":245},"plugins/ruflo-neural-trader/skills/trader-regime","ruvnet","ruflo","trader-regime",{"evaluate":549,"extract":556},{"promptVersionExtension":207,"promptVersionScoring":208,"score":520,"tags":550,"targetMarket":250,"tier":219},[551,552,553,214,554,555],"finance","trading","market-analysis","typescript","cli",{"commitSha":252,"license":237},{"parentExtensionId":558,"repoId":559},"k17drge8h1fgzchr0p4jaeg33n86mwmy","kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[214,555,551,553,552,554],{"evaluatedAt":562,"extractAt":563,"updatedAt":562},1778701108877,1778696691708,{"_creationTime":565,"_id":566,"community":567,"display":568,"identity":574,"providers":578,"relations":584,"tags":588,"workflow":589},1778693819124.3687,"k177re651qqdxa2pxznqy4qzx186mgmm",{"reviewCount":8},{"description":569,"installMethods":570,"name":572,"sourceUrl":573},"Domänenwissen für die KI-Trading-Erinnerung – Outcome-Weighted Memory (OWM)-Architektur, 5 Speichertypen, Abrufbewertung und Verhaltensanalyse. Verwenden Sie dies beim Aufzeichnen von Trades, beim Abrufen ähnlicher Kontexte, bei der Leistungsanalyse oder bei der Überprüfung von Verhaltensabweichungen. Löst bei \"record trade\", \"remember trade\", \"recall\", \"similar trades\", \"performance\", \"behavioral\", \"disposition\", \"affective state\", \"confidence\" aus.",{"claudeCode":571},"mnemox-ai/tradememory-protocol","trading-memory","https://github.com/mnemox-ai/tradememory-protocol",{"basePath":575,"githubOwner":576,"githubRepo":577,"locale":18,"slug":572,"type":245},"tradememory-plugin/skills/trading-memory","mnemox-ai","tradememory-protocol",{"evaluate":579,"extract":583},{"promptVersionExtension":207,"promptVersionScoring":208,"score":520,"tags":580,"targetMarket":250,"tier":219},[552,214,581,551,582],"memory","python",{"commitSha":252},{"parentExtensionId":585,"repoId":586,"translatedFrom":587},"k170vxkqee48k2xq1v55a025nh86nzn7","kd73z11kfekksxyrs8ds0snacs86ncdy","k173a67a16bpq0e29wjd85v71986nx03",[214,551,581,582,552],{"evaluatedAt":590,"extractAt":591,"updatedAt":592},1778693719816,1778693539593,1778693819124,{"_creationTime":594,"_id":595,"community":596,"display":597,"identity":601,"providers":604,"relations":611,"tags":613,"workflow":614},1778693798788.0542,"k170ymfjagf8xv5gd19p7dq52986mp9g",{"reviewCount":8},{"description":598,"installMethods":599,"name":600,"sourceUrl":573},"Domänenwissen für die Evolution Engine — LLM-gestützte autonome Strategieentdeckung aus rohen OHLCV-Daten. Behandelt die Schleife Generieren-Backtesten-Auswählen-Entwickeln, vektorisiertes Backtesting, Out-of-Sample-Validierung und Strategiegraduierung. Verwenden Sie es beim Entdecken von Handelspatterns, Ausführen von Backtests, Entwickeln von Strategien oder Überprüfen von Evolutionsprotokollen. Löst aus bei \"evolve\", \"discover patterns\", \"backtest\", \"evolution\", \"strategy generation\", \"candidate strategy\".",{"claudeCode":571},"TradeMemory Protocol",{"basePath":602,"githubOwner":576,"githubRepo":577,"locale":18,"slug":603,"type":245},"tradememory-plugin/skills/evolution-engine","evolution-engine",{"evaluate":605,"extract":610},{"promptVersionExtension":207,"promptVersionScoring":208,"score":520,"tags":606,"targetMarket":250,"tier":219},[552,214,581,607,608,609],"audit","compliance","llm",{"commitSha":252,"license":237},{"parentExtensionId":585,"repoId":586,"translatedFrom":612},"k171p5pgbfbm5g4k5sa3y4cj9s86m6hk",[214,607,608,609,581,552],{"evaluatedAt":615,"extractAt":591,"updatedAt":616},1778693678813,1778693798788,{"_creationTime":618,"_id":619,"community":620,"display":621,"identity":627,"providers":632,"relations":640,"tags":643,"workflow":644},1778691104676.0042,"k17c25w174y6873nhdh566etts86mv7m",{"reviewCount":8},{"description":622,"installMethods":623,"name":625,"sourceUrl":626},"Transform images with resize, crop, smart crop, upscale, remove background, and 20+ operations.",{"claudeCode":624},"iterationlayer/skills","Image Transformation API","https://github.com/iterationlayer/skills",{"basePath":628,"githubOwner":629,"githubRepo":630,"locale":339,"slug":631,"type":245},"skills/image-transformation-api","iterationlayer","skills","image-transformation-api",{"evaluate":633,"extract":639},{"promptVersionExtension":207,"promptVersionScoring":208,"score":520,"tags":634,"targetMarket":250,"tier":219},[635,636,637,638,214],"image","transformation","editing","api",{"commitSha":252,"license":237},{"parentExtensionId":641,"repoId":642},"k1721s0xmp59902ybtpakrrffn86n10s","kd76p4g2qmtrkgx99cnab3683d86n4g8",[214,638,637,635,636],{"evaluatedAt":645,"extractAt":646,"updatedAt":645},1778693613399,1778691104676,{"_creationTime":648,"_id":649,"community":650,"display":651,"identity":657,"providers":661,"relations":669,"tags":672,"workflow":673},1778693180473.0972,"k1716aj3p8agwq6vwvn5n19v8n86mps9",{"reviewCount":8},{"description":652,"installMethods":653,"name":655,"sourceUrl":656},"Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: \"Document Intelligence\", \"DocumentIntelligenceClient\", \"form recognizer\", \"invoice extraction\", \"receipt OCR\", \"document analysis .NET\".\n",{"claudeCode":654},"microsoft/agent-skills","azure-ai-document-intelligence-dotnet","https://github.com/microsoft/agent-skills",{"basePath":658,"githubOwner":659,"githubRepo":660,"locale":339,"slug":655,"type":245},".github/plugins/azure-sdk-dotnet/skills/azure-ai-document-intelligence-dotnet","microsoft","agent-skills",{"evaluate":662,"extract":668},{"promptVersionExtension":207,"promptVersionScoring":208,"score":520,"tags":663,"targetMarket":250,"tier":219},[664,214,665,666,667],"azure","document-intelligence","dotnet","sdk",{"commitSha":252},{"parentExtensionId":670,"repoId":671},"k1795g6t3v2fg9whacs7xkm88186nxr1","kd77czgnv00rfjm815pcc5xx5986n5t8",[214,664,665,666,667],{"evaluatedAt":674,"extractAt":675,"updatedAt":674},1778693591440,1778693180473]