setup
Sets up a Mac for ButterCut. Installs all required dependencies (Homebrew, Ruby, Python, FFmpeg, WhisperX). Use when user says "install buttercut", "set up my mac", "get started", "first time setup", "install d...
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Sets up a Mac for ButterCut. Installs all required dependencies (Homebrew, Ruby, Python, FFmpeg, WhisperX). Use when user says "install buttercut", "set up my mac", "get started", "first time setup", "install d...
Creates video rough cut yaml file for use with Buttercut gem. Concatenates visual transcripts with file markers, creates a roughcut yaml with clip selections, then exports to XML format. Use this skill when use...
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for...
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) Addi...
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
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...
Query the PDBe (Protein Data Bank in Europe) REST API and Solr search API from within Coot to access structure metadata, validation data, revision history, and search capabilities
Unified workflow orchestration for substantial tasks. Auto-detects complexity, defers to matching skills, or provides phase-based execution. Solves workflow conflicts between skills, loop mode, and CLAUDE.md.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...
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) Addi...
生成单个文档的详细内容,根据文档结构和用户意图生成包含导航、代码示例、技术图表的完整文档。 使用场景: - doc-smith 主流程调用,批量生成各文档内容 - 输入文档路径(与 document-structure.yaml 中的 path 对应) - 自...
从工作区数据源生成和更新全面的文档,包括代码仓库、文本文件和媒体资源。当用户请求以下操作时使用此技能:(1) 从代码或文件创建或生成文档,(2) 构建文档结构或文档详情,(3) 更新、修改或改进已有文档,(4) 重写文档的特定...
RDKit molecular manipulation and visualization within Coot's Python environment. Use when working with Coot and need to (1) Create RDKit molecules from Coot monomers, (2) Modify molecular structures (e.g., atom...
NCS Reference Guidance
How to handle Unmodelled Density Blobs
Using Density-Fit Correlations in Coot
Best Practices for Model-Building Tools and Refinement
Best practices for protein structure refinement and validation in Coot. Use when performing (1) Residue refinement operations, (2) Model building and fitting, (3) Rotamer fixing, (4) Scripted/automated refineme...
"API documentation to be loaded at startup - when starting a Coot session, immediately call get_function_descriptions() with the functions listed in this skill.""
Comprehensive structure validation combining model-to-map analysis and unmodeled density detection
Best Practices for using Coot MCP
Guidance for deep knowledge graph traversal across memories, entities, and relationships. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what d...
Guidance for maintaining memory quality through curation. Covers updating outdated memories, marking obsolete content, and linking related knowledge. Use when memories need modification, when new information su...
Guidance for using Forgetful semantic memory effectively. Applies Zettelkasten atomic memory principles. Use when deciding whether to query or create memories, structuring memory content, or understanding memor...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.