Skill UI

This skill automates the comprehensive localization and translation of an entire MkDocs documentation suite. It translates all Markdown files from source English folders into a specified target language, preserving the exact folder structure and Markdown formatting. Additionally, it updates include references and modifies the core mkdocs.yml configuration file to properly support the new locale, ensuring a seamless multilingual documentation setup.

This guide details the process of implementing internationalization (i18n) in a Next.js application using the next-intl library. It provides step-by-step instructions on adding new languages, covering translation updates, configuring routing, modifying middleware, and updating UI components to ensure complete multi-language support.

A comprehensive guide for migrating search functionality from alternatives like Elasticsearch, Typesense, or Meilisearch to Algolia. It details the necessary steps, including data migration, query translation (e.g., ES to Algolia), and implementing a zero-downtime swap using the Strangler Fig pattern.

A comprehensive guide covering Chinese technical documentation formatting rules. It addresses common issues like mixing full/half-width punctuation, spacing conventions (e.g., space between English/Chinese text, numbers/units), and best practices for handling technical terminology translation and structure.

Build and operate Python Azure IoT Edge modules for telemetry processing, local inference, and protocol translation. Includes deployment, observability, and production readiness checks.

This file is designated as the Japanese localization resource for the Motion UI component. It is currently under active translation and implementation. Users should refer to the original skill file for the English version or the final functional skill.

This file is currently undergoing Japanese localization for MySQL patterns. It serves as a placeholder indicating that the Japanese translation is in progress. Users should refer to the original English skill file for implementation details.

This file is designated as the Japanese localization resource for the Motion UI component. It is currently under active translation and implementation. Users should refer to the original skill file for the English version or the final functional skill.

A skill for Perl testing practices, covering test writing, execution, and validation of Perl code. The current file is a Japanese translation placeholder pending completion.

Intelligently translates marketing content across multiple languages, automatically selecting the optimal service (DeepL, Sarvam AI, Google Cloud, etc.). It goes beyond literal translation by performing transcreation analysis for cultural nuances, humor, and emotional impact, ensuring brand voice and marketing effectiveness are preserved globally. The process includes quality scoring and adherence to specific compliance rules and glossaries.

A comprehensive guide for authors assessing the suitability of their clinical or translational oncology studies for Annals of Oncology (ESMO). It covers the journal's high standards for rigorous, practice-changing research, including requirements for robust trial design, biomarker validation, adherence to specific reporting guidelines (CONSORT, STROBE), and alignment with ESMO best practices. This is a venue-fit aid, not medical or regulatory advice.

This guide helps researchers determine if their study—particularly in clinical neurology or translational neuroscience—meets the high standards of leading journals like Brain. It provides detailed insights into required mechanistic depth, evidence types (e.g., genetics, biomarkers), appropriate reporting guidelines (STROBE, CONSORT, PRISMA), and common desk-reject expectations. It is a venue-fit aid, detailing the scientific rigor needed for submission.