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Wide-Moat

@wide-moat source repo

15 published skills

  1. PDF Reading · wide-moat bundle
    Use this skill when you need to read, inspect, or extract content from PDF files — especially when file content is NOT in your context and you need to read it from disk. Covers content inventory, text extraction, page rasterization for visual inspection, embedded image/attachment/table/form-field extraction, and choosing the right reading strategy for different document types (text-heavy, scanned, slide-decks, forms, data-heavy). Do NOT use this skill for PDF creation, form filling, merging, splitting, watermarking, or encryption — use the pdf skill instead.
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  2. Skill Creator 2 · wide-moat bundle
    Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Assistant's capabilities with specialized knowledge, workflows, or tool integrations.
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  3. PDF · wide-moat bundle
    Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Assistant needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
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  4. DOCX · wide-moat bundle
    Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When the Assistant needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
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  5. PPTX · wide-moat bundle
    Presentation creation, editing, and analysis. When Assistant 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
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  6. XLSX · wide-moat bundle
    Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Assistant needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
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  7. Sub Agent · wide-moat bundle
    COSTLY: Spawns a separate sub-agent CLI session. Use ONLY for complex CODE tasks requiring 10+ iterative tool calls (multi-file refactoring with tests, code review with fixes, test-fix cycles). IMPORTANT: Always run the model discovery script first before any sub_agent call. Do NOT use for presentations, research, documentation, or any task completable in fewer than 10 tool calls.
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  8. File Reading · wide-moat bundle
    Use this skill when a file has been uploaded but its content is NOT in your context — only its path at /mnt/user-data/uploads/ is listed in an uploaded_files block. This skill is a router: it tells you which tool to use for each file type (pdf, docx, xlsx, csv, json, images, archives, ebooks) so you read the right amount the right way instead of blindly running cat on a binary. Triggers: any mention of /mnt/user-data/uploads/, an uploaded_files section, a file_path tag, or a user asking about an uploaded file you have not yet read. Do NOT use this skill if the file content is already visible in your context inside a documents block — you already have it.
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  9. Skill Creator · wide-moat bundle
    Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Assistant's capabilities with specialized knowledge, workflows, or tool integrations.
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  10. Describe Image · wide-moat bundle
    Describe images (charts, diagrams, tables, screenshots) using Vision AI. Use as fallback when you cannot read an image file directly. Supports batch processing of folders.
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  11. Gitlab Explorer · wide-moat bundle
    Explore GitLab repositories using glab CLI and git commands. Use when user asks to: clone repositories, search projects or code in GitLab, view merge requests, explore project structure, check CI/CD pipelines, work with issues, or analyze git history. IMPORTANT: Always run authentication check script first before any GitLab operation.
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  12. Algorithmic Art · wide-moat bundle
    Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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  13. Artifacts Builder · wide-moat bundle
    Suite of tools for creating elaborate, multi-component AI artifacts viewer HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
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  14. Single Cell Rna Qc · wide-moat bundle
    Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
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  15. Web Artifacts Builder · wide-moat bundle
    Suite of tools for creating elaborate, multi-component HTML applications using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - Bundles into a single HTML file for preview.
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