Loading...
Loading...
Found 134 Skills
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Enhance and improve image quality and visual content. Applies enhancement techniques, color correction, and optimization transformations.
Consolidate agent output results into structured final output, supporting multiple formats. Suitable for consolidating analysis reports and generating structured reports
KurocoのSmartyプラグイン・構文リファレンスおよびWebhook・バッチ処理・自動化のベストプラクティス。使用キーワード:「Smartyプラグイン」「Smarty関数」「Smarty修飾子」「Smarty構文」「テンプレート関数」「assign」「foreach」「if」「escape」「date_format」「truncate」「api_internal」「sendmail」「slack_post_message」「fileupload」「rcms_vue_component」「translate」「pager」「rcms_auth」「login」「logout」「ai_completion」「write_file」「put_file」「json_encode」「変数代入」「ループ処理」「条件分岐」「文字列操作」「日付フォーマット」「ファイル操作」「API呼び出し」「メール送信」「Slack通知」「Vue連携」「認証」「ページネーション」「$smarty変数」「セキュリティ設定」「IF_FUNCS」「MODIFIER_FUNCS」「capture」「literal」「section」「Webhook」「バッチ処理」「定期実行」「スケジュール実行」「cron」「15分毎」「1時間毎」「外部連携」「GitHub Actions」「repository_dispatch」「workflow_dispatch」「Slack通知」「slack_send」「Chatwork」「chatwork_send」「メール通知」「send_mail」「SendGrid」「sendgrid_send」「自動処理」「api_request」「外部API」「トリガー」「前処理」「後処理」「Function」「カスタム処理」「CSV出力」「topics変数」「inquiry変数」。Smartyテンプレートの構文・プラグイン、定期実行、外部通知、トリガー処理に関する質問で使用。
Explains core Apache Beam programming model concepts including PCollections, PTransforms, Pipelines, and Runners. Use when learning Beam fundamentals or explaining pipeline concepts.
Unified Document Processing Hub, supporting creation, conversion, editing, and batch processing of formats including Word, Excel, PDF, Markdown, etc. Use when: - Create Word/Excel/PDF documents - Document format conversion - Batch document processing - Apply document templates - Document content editing - Media file conversion Cross-references: pdf, content-extractor, email-sender, long-form-writer, md-to-wechat, image-ocr Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
Use this skill when you need to retry failed file transfers/organizations. Given one or more failed transfer history record IDs, this skill guides you through querying the failure details, deleting the old records, and re-identifying and re-organizing the files. Supports batch processing of multiple files from the same media (e.g., multiple episodes of a TV show). This skill is automatically triggered when the system detects transfer failures and the AI agent retry feature is enabled.
Upload one or many videos to YouTube. Use when the user wants to "上传到 YouTube", "发 YouTube", "批量上传", "upload to YouTube", "post videos to YouTube", or to publish a finished `final/` directory of MP4s. Reads per-video metadata (title / description / tags) from a sibling `UPLOAD_META.md` file when present (the user's standard markdown format), or from command-line flags. Survives behind a SOCKS/HTTP proxy by using `requests` directly for the resumable upload (the stock `google-api-python-client` MediaFileUpload stalls under this user's proxy setup).
Expert in creating, editing, and automating Word documents (.docx) using python-docx and docx.js. Use when generating Word documents, modifying existing docx files, or automating document workflows.
GPU-accelerated frame extraction for Movie_F dashcam videos. This skill should be used when the user needs to extract frames from Movie_F category dashcam videos placed in the Desktop CARDV folder. Extracts 3 frames per video (BEGIN, MIDDLE, END) using NVIDIA CUDA acceleration with automatic gap analysis, parallel processing, and strict error handling. This is specifically designed for Movie_F category only.
Convert documents (PDF, Word, Excel, PowerPoint, images, HTML) to Markdown using microsoft/markitdown. Use for document analysis, content extraction, preprocessing for LLMs, or batch document conversion. Supports images with OCR/LLM descriptions, audio transcription, and ZIP archives.
Handle Linear API rate limiting and quotas effectively. Use when dealing with rate limit errors, implementing throttling, or optimizing API usage patterns. Trigger with phrases like "linear rate limit", "linear throttling", "linear API quota", "linear 429 error", "linear request limits".