5.7만건 · 관련도순
Download PDFs or process local files, extract their text, and turn processed data into structured PDF reports with ReportLab. Includes alternative extraction methods and text output when PDF generation fails.
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Extract text from difficult PDFs by trying several libraries and command-line tools in sequence, then using OCR, which reads text from images. Record failed attempts and check that extracted content meets the task requirements.
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Extract text from PDFs when the first reading attempt fails or produces poor results. The skill tries command-line tools, Python libraries, then OCR, which recognizes text in images, while checking output quality and recording successful methods.
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Build Android interfaces in Expo using Jetpack Compose components and modifiers, which control layout and appearance. The skill guides component selection, sizing, scrollable lists, and XML icons for SDK 55.
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Prepare and deploy Expo apps to iOS and Android stores or the web using EAS, Expo's build and deployment services. Covers production builds, store submissions, beta distribution, preview deployments, and automated release workflows.
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Turn written descriptions into editable Excalidraw diagrams, including flowcharts, mind maps, system architecture, and database relationships. Generate a .excalidraw JSON file with connected shapes, labels, and a consistent sketch or clean visual style.
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Extract keyword-matched entries from an Excel sheet, clean whitespace and empty values, and count distinct entries by category. Export separate Excel files containing summary counts and detailed lists for review.
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Clean data across multiple Excel sheets, compare totals between sheets, and summarize categories and proportions. Create charts and export a formatted workbook with unusual values highlighted for review.
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Analyze Excel files with 10,000 or more rows using reading methods suited to their size. Convert data to Parquet, a column-based storage format, reduce memory use, and prepare summaries, charts, or filtered exports.
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Assess web applications for XSS, where injected scripts run in a browser, and HTML injection flaws. Classify stored, reflected, and DOM-based issues, demonstrate their impact in controlled tests, and prepare findings with remediation recommendations.
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Build app screens with Expo Router using guidance on layout, navigation, native tabs, and animations. It covers route organization and styling patterns, with Expo Go as the starting point for testing.
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Prepare and deploy Expo apps to iOS and Android stores or the web using EAS, Expo's build and deployment services. Covers production builds, store submissions, beta distribution, preview deployments, and automated release workflows.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Publish image posts or videos to 小红书 (XHS), with QR code login and saved login sessions. Check titles and media files before posting, review the final content, and verify whether publication succeeded through browser automation.
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Translate existing code-explanation docs into another language, Chinese by default. Translates a whole `CODE_EXPLANATION/` folder into a parallel `CODE_EXPLANATION_<LANG>` copy (e.g. `CODE_EXPLANATION_ZH`), or a single file — either bilingually in place (English + translation interleaved) for small files or as a `<name>_<lang>.<ext>` sidecar copy for larger ones. Keeps filenames, code, identifiers, file paths, and technical terms in English — only the explanatory prose is translated. Use this skill whenever the user wants to translate, localize, or produce a non-English version of code-explanation / codebase documentation: phrases like "translate-explanation", "translate the code explanation", "translate the CODE_EXPLANATION folder", "localize these docs to Chinese", "make a Chinese version of the explanation", or naming any target language for the explanation files. Default to Chinese (ZH) when no language is specified.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction with CUPED, sequential testing, and the operational tradeoffs vs platforms like Statsig and Optimizely. Triggers on warehouse-native experimentation, run experiments in BigQuery, run experiments in Snowflake, dbt experiments, SQL t-test, CUPED variance reduction, exposure log, sample ratio mismatch, sequential testing, mSPRT, doubly robust estimation, build vs buy experimentation. Also triggers when the team is choosing between platform and warehouse, building warehouse-native experiment infrastructure, auditing one, or running an experiment with a custom metric the platform cannot handle.
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A platform decision framework for experimentation. When to use Statsig vs PostHog vs GrowthBook vs Optimizely vs Amplitude vs Eppo vs Kameleoon. How to migrate between them. How to coordinate when multi-platform is genuinely warranted. The decisions that compound for years and the ones you can defer. Triggers on which experimentation platform, choose Statsig vs PostHog, evaluate experimentation tools, switch experimentation platform, migrate from Optimizely, consolidate experimentation tools, multi-platform experimentation, experimentation platform decision, ab test platform selection, feature flag platform vs experiment platform, warehouse-native experiments, vendor lock-in experimentation. Also triggers when a team is asking about cost, governance, or migration cost across experimentation tools, or when an evaluation is starting.
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Upgrade Prisma Next in your extension. Bumps every `@prisma-next/*` dependency to the requested target (or npm `latest`), runs the per-transition upgrade instructions for the extension SPI (middleware lifecycle, codec / migration-tools / framework-components churn, seed-migration on-disk shape), verifies the pins are correctly exact via `prisma-next-check-pins`, runs the extension's own typecheck and tests, and commits each minor step on its own. Use when the user asks to "upgrade Prisma Next" in an extension package, or to update an extension's `@prisma-next/*` deps to a new minor.
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Use when writing Delphi / FreePascal / C++Builder code that reads, writes, manipulates, or exports Excel (.xlsx / .xls) files, generates PDF or HTML from Excel, or produces data-driven reports with FlexCel Studio for VCL and FireMonkey (TMS FlexCel). Triggers include Excel/xlsx from Delphi, TXlsFile, TFlexCelReport, TFlexCelPdfExport, TFlexCelHtmlExport, FireMonkey Excel export, Lazarus Excel, and Excel reporting from Pascal.
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Expo (React Native フレームワーク, Expo SDK 58 / EAS) のリファレンス。 Expo Router (file-based routing, expo-server, data loaders, +api.ts), app.json / app.config, config plugins, Expo Modules API, expo-* SDK, Expo UI, EAS Build / Update / Submit / Workflows, eas.json, expo-updates (OTA), CNG / prebuild, Expo CLI (npx expo), development build (dev-client), expo-notifications push。
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Diagnoses bias, anomalies, and strange-looking results on a specific PostHog experiment. Covers empty / 0-exposure experiments, sample ratio mismatch, identity fragmentation, multi-variant exposure, uneven-split exclusion bias, significance traps (peeking, A/A, Bayesian vs Frequentist), PostHog-vs-SQL discrepancies, and surprises after mid-run edits. Symptom-driven dispatch to the right diagnostic. TRIGGER when: user asks 'is my experiment biased?' or 'why 0 exposures?', references the bias banner, says a variant looks strange / wrong / off, sees significance flipping, notices PostHog numbers disagreeing with their SQL, sees an A/A test showing significance, or reports surprises after mid-run edits. DO NOT TRIGGER when: creating a new experiment (use creating-experiments), only configuring rollout (use configuring-experiment-rollout) or metrics (use configuring-experiment-analytics), or only asking lifecycle questions (use managing-experiment-lifecycle).
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Hunting skill for xxe vulnerabilities. Built from 10 public bug bounty reports including SVG-upload XXE, Office-doc (PPTX/DOCX) XXE, SOAP XXE, SAML AssertionConsumer XXE, blind OOB XXE via DTD callback, parameter-entity XXE, XXE-to-LFI, XXE-to-SSRF, and XXE-to-RCE chains (Adobe Commerce CosmicSting CVE-2024-34102). Use when hunting XXE on any target — emphasis on OOB-Or-It-Didn't-Happen Gate for blind cases.
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CodexBar의 로컬 비용 로그에서 Codex나 Claude의 비용을 모델별로 집계하고, 최근 대표 모델이나 전체 모델의 내역을 텍스트 또는 JSON으로 확인합니다.
Nuxt 4 앱에서 서버와 브라우저의 표시 불일치를 방지하고 데이터 조회, 페이지별 렌더링과 캐시, 지연 로딩을 정리합니다. 구현과 검토, 성능 개선에 사용합니다.
Kotlin과 JetBrains Exposed로 데이터베이스 조회와 추가·수정·삭제를 구현하는 패턴을 제공합니다. 연결 재사용, 구조 변경, 트랜잭션과 테스트도 다룹니다.