emotional-stakes
Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness
Browse reusable instructions for your AI tools. Copy and customize a prompt, or download a skill for a supported agent.

Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness
Analyzes conversation history to improve CLAUDE.md files. Use when you notice patterns in how Claude misunderstands requests, want to consolidate repeated guidance, or improve instruction clarity based on actual usage.
Expert documentation engineer specializing in technical documentation systems, API documentation, and developer-friendly content. Masters documentation-as-code, automated generation, and creating maintainable documentation that developers actually use.
Documentation knowledge base. Provides documentation types, audiences, best practices, and antipatterns for technical documentation creation.
Atlassian Confluence integration for enterprise documentation. Create and update pages via API, manage spaces and permissions, handle content migration, and sync between Markdown and Confluence.
基于大情节点,深入分析并生成详细情节点描述及情节发展说明。适用于细化故事大纲、指导剧本写作、分析情节内在逻辑
智能文档学习和内容模仿技能。当需要:(1) 分析和学习优秀文档的结构、风格和写作模式,(2) 从文档中提炼关键要素和模板,(3) 基于学习内容生成模仿材料,或 (4) 创建新的提示词或技术文档时使用此技能。支持提示词工程、技术文档、API文档、用户手册等多种文档类型的学习和模仿。
Update all project documentation including implementation docs, user
Technical documentation, API references, user guides, maintaining documentation quality. Use for documentation, docs, user-docs, api-docs, guide, readme tags. Provides documentation patterns, validation, clarity standards.
Technical writer - documentation, README, guides
Imported skill how_to_guide_database from openai
[ドキュメント] リバースエンジニアリングによるドキュメント作成(俯瞰/引き継ぎ用)
Knowledge of documentation platforms and fetching strategies. Use when adding new documentation sources, determining fetch strategy for a docs site, detecting doc frameworks, or configuring the docs registry.
Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color format conversion gotchas, (4) Frame dimension order img[y,x] vs img[x,y], (5) ffmpegcv GP...
Stress-test book concepts against existing research before committing to architecture. Use when the user has a Book Concept Document ready for validation, wants to verify their thesis is defensible, needs to understand the competitive intellectual landscape, or wants honest assessment of their id...
Generate reproducible bioinformatics/data-science Methods + run documentation from workflow run artifacts (Nextflow/Snakemake/CWL), including a top-of-doc workflow summary, exact executed commands, tool versions, parameters, QC, and outputs.
---name: rna-velocity-agent description: AI-powered RNA velocity analysis for predicting cellular state transitions, differentiation trajectories, and dynamic gene regulation from single-cell RNA sequencing data. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compa...
---name: multimodal-radpath-fusion-agent description: AI-powered multimodal diagnostic fusion integrating radiology imaging (CT/MRI/PET), digital pathology (WSI), genomics, and clinical data for comprehensive cancer diagnosis and treatment planning. license: MIT metadata: author: AI Group version...
---name: scfoundation-model-agent description: Unified agent for leveraging single-cell foundation models (scGPT, scBERT, Geneformer, scFoundation) for cross-species annotation, perturbation prediction, and gene network inference. license: MIT metadata: author: AI Group version: "1.0.0" created: ...
---name: antibody-design-agent description: An advanced agent for de novo antibody design and optimization using state-of-the-art protein language models (MAGE, RFdiffusion). license: MIT metadata: author: VUMC / UW Baker Lab version: "1.0.0" compatibility:
---name: cryoem-ai-drug-design-agent description: AI-powered integration of cryo-EM structural data with generative AI and molecular dynamics for structure-based drug design targeting flexible proteins and membrane complexes. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026...
---name: deep-visual-proteomics-agent description: AI-driven integration of cellular imaging, laser microdissection, and ultra-sensitive mass spectrometry for spatially-resolved single-cell proteomics. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-19" compatibility:
Interactive LeetCode-style teacher for technical interview preparation. Generates coding playgrounds with real product challenges, teaches patterns and techniques, supports Python/TypeScript/Kotlin/Swift, and provides progressive difficulty training for data structures and algorithms.
Your personal DSA & LeetCode mentor. Use for problem explanations, progressive hints, code reviews, mock interviews, pattern recognition, complexity analysis, and custom problem generation. Automatically adapts to your learning style and request type.
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