「clean」の検索結果

Audit a dataset or access rule before it joins an identity-graph build (access rules behave like datasets in NQL here). Enumerates failure modes (hub identifiers, high-degree nodes, suspicious values, over-connected identifiers), tests hypotheses in parallel, quantifies damage by rows / edges / entities, and proposes minimal filters ranked by severity. When issues are found, returns a validated `CREATE MATERIALIZED VIEW` NQL the caller can run to produce a graph-ready clean source; if the data passes, says so and recommends it unchanged. Plans and authors the clean-view NQL; does not execute it. Use when: "audit this dataset before the graph build", "find bad edges in <source>", "check identity data quality", "recommend filters for the graph build", "quantify damage from <identifier_type>", "pre-graph DQ". (narrative-identity)

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Load for behavior-preserving rename, move, decomposition, dead-code removal, dependency cleanup, record/class conversion, or immutable contract migration that needs caller, flow, test, and impact analysis; not for feature work or one-line cleanup.

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Load before external product/design research, competitor comparison, clean-room implementation, or adding/updating code, packages, images, fonts, datasets, generated artifacts, or other dependencies whose source/provenance/license may affect outbound licensing; not for purely internal source use with no dependency change.

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End-to-end data pipeline for empirical research: fetch economic data from APIs (FRED, World Bank, IMF, BLS, OECD, Yahoo Finance), clean and transform raw data, construct strategy-specific variables, and validate panel structure. Use when asked to fetch data, download data, clean data, merge datasets, prepare analysis-ready data.

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Findet und löscht Windows-reservierte NUL-Dateien, die durch die Nutzung von /dev/null in Git Bash entstehen. Headless oder mit GUI.

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指定ディレクトリ内の独立したgit cloneのupstream更新を確認し、cleanなfast-forwardだけを適用する。スキルやプラグインの更新確認に使う。

明示されたディレクトリ内の独立した git clone の upstream 更新を確認し、clean な fast-forward だけを適用する。マーケットプレース・プラグイン・スキルの更新確認、更新チェック、スキル更新、プラグイン最新？、update skills、check for updates に対応する。ユーザーが /check-updates と入力したら必ずこのスキルを使う。

Чистка спамных личных переписок перед повторным касанием: детерминированный план (какие НАШИ веерные рассылки и неотвеченные залпы стереть из диалога) → показ Антону → удаление ТОЛЬКО НАШИХ сообщений (revoke у обеих сторон) → свежий питч в очищенный тред. Триггеры: '/thread-clean', 'почисти переписку', 'вычисти спам из лички', 'чистка треда', 'убери наши рассылки', 'тред выжжен, почисти'

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Turn an article URL into a clean, vault-ready markdown note with the defuddle CLI, stripping ads, navigation and comments and cutting 40-60% of tokens versus a raw fetch. Prefer it over a raw web fetch whenever the task is reading or ingesting a normal web article. Triggers: "/defuddle <url>", "clean import this page".

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Create an Estuary derivation for stateless filtering, field selection, and per-document field transformation. Use for WHERE clauses, projecting fields, computing new fields from existing ones, or data cleansing. Derivations add complexity and cost — confirm the user wants a derivation before reaching for this (renaming alone is usually a projection, not a derivation). Use when user says "filter-transform derivation", "derivation to filter by status", "transformation with WHERE clause", "derive computed fields", "cleanse data with a derivation", or "stateless derivation".

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Applies principles from Robert C. Martin's 'Clean Code'. Use this skill when writing, reviewing, or refactoring code to ensure high quality, readability, and maintainability. Covers naming, functio...

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You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its...

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Automated cleanup of unused AWS resources to reduce costs

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Applies battle-tested clean code principles to writing, reviewing, and refactoring code. Covers naming, functions, comments, error handling, class design, and the critical difference between clever code and clear code.

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Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.

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Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.

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Data Quality Specialist IA — Expert en qualité des données (profiling, cleaning, déduplication, validation de schéma, Great Expectations)

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You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.

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Fix MSBuild targets that generate files during the build but those files are missing from compilation or output. Only activate in MSBuild/.NET build context. USE FOR: generated source files not compiling (CS0246 for a type that should exist), custom build tasks that create files but they are invisible to subsequent targets, globs not capturing build-generated files because they expand at evaluation time before execution creates them, ensuring generated files are cleaned by the Clean target. Covers correct BeforeTargets timing (CoreCompile, BeforeBuild, AssignTargetPaths), adding to Compile/FileWrites item groups, using $(IntermediateOutputPath) instead of hardcoded obj/ paths. DO NOT USE FOR: C# source generators that already work via the Roslyn pipeline, T4 design-time generation that runs in Visual Studio, non-MSBuild build systems. INVOKES: no tools — pure knowledge skill.

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Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.

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Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean. Use when the user asks to simplify, declutter, reduce noise, remove elements, or make a UI cleaner and more focused.

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Automated cleanup of unused AWS resources to reduce costs

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iOS ビルドキャッシュクリア・シミュレータ管理を XcodeBuildMCP 経由で実行。「clean」「DerivedData」「cache」「キャッシュ」「クリーン」「simulator boot」「simulator reset」「シミュレータ起動」「シミュレータリセット」などのキーワードで自動適用。

Go 依存関係の整理・キャッシュクリア。「go mod tidy」「依存関係」「go mod」「キャッシュクリア」「go clean」などのキーワードで自動適用。