localization
Multi-language support (English/Thai) implementation using localized base classes and resource files.
Multi-language support (English/Thai) implementation using localized base classes and resource files.
Translate specification files to Japanese while preserving technical accuracy and formatting
Move an implemented ADR from feature folder to docs/adr/ as accepted documentation. Use when user says "accept ADR for {feature-name}" or provides feature-name and adr-filename. Verifies implementation is complete, trims content, updates status to Accepted, and moves to final location.
Extract text and images from PDF files, analyze diagrams and architecture charts, and convert visual diagrams to Mermaid format. Use when the user wants to read, analyze, or convert PDF documents, especially those containing diagrams, flowcharts, or architecture visualizations.
Extract API request/response schema from Korean Public Data Portal (data.go.kr) documentation pages and generate structured JSON representation
Universal document conversion using Pandoc with focus on DOCX format. Use when converting documents to or from DOCX format, including Markdown, HTML, PDF, and other formats. Supports: (1) Converting other formats to DOCX (Markdown, HTML, reStructuredText, etc.), (2) Converting DOCX to other formats, (3) Custom DOCX templates and styling, (4) Batch document processing
Parse large documents into structured sections with abstracts and metadata
Convert data between formats (JSON, XML, CSV, YAML, TOML). Use when transforming data structures or migrating between data formats.
Clean up Russian vocabulary CSV files from language exchange sessions. Use when the user asks to clean up, format, or process a language exchange CSV file.
Translate English .txt files into Chinese and produce sentence-aligned bilingual JSON with merging of short English sentences. Use when asked to batch-convert text files into [{"en","zh"}] arrays, split/merge sentences, or generate JSON alongside original .txt files.
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
Extract clean article text from websites using trafilatura. Use when you need to read web pages, articles, blog posts, or documentation. Better than WebFetch for article content. Triggers: 'read this URL', 'fetch article', 'extract text from', 'what does this page say'.
Convert LaTeX documents and equations to typst format with syntax validation
Clean and reorganize transcript .txt files for clearer English grammar, punctuation, and paragraph flow. Use when asked to fix line breaks, merge fragments into sentences, normalize punctuation, or produce a reflowed transcript saved as a new file.
Expert assistant for managing Finnish/English content translations in the KR92 Bible Voice project. Use when syncing topic translations, managing translation cache, validating translation completeness, or importing/exporting CSV translations.
Transform YouTube transcripts into comprehensive lecture notes with PDF and HTML outputs
"Convert markdown files to Jupyter notebooks (.ipynb). Splits markdown by `---` delimiters into cells, extracts code blocks (```python```, ```sql```) as code cells, and handles YAML front matter removal. Use when converting documentation, tutorials, or structured markdown into interactive Jupyter notebooks."
Process aviation fuel surcharge bills from Excel files. Supports both automatic detection and Claude-assisted modes. Detects headers, matches columns, parses dates/routes, and fetches contract numbers via API. Use when working with aviation fuel bills, Excel file processing, or when user mentions fuel surcharges,航空燃油账单, or 燃油差价费.
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.
Convert a document (PDF, URL, text) into Q&A pairs stored in memory.