Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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investment-analysis
股票分析、財報解讀與投資決策
miles990/claude-domain-skills 10
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quant-trading
量化交易策略開發、回測與風險管理
miles990/claude-domain-skills 10
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business-strategy
商業策略：藍海策略、差異化、競爭優勢、價值創新、商業模式設計
miles990/claude-domain-skills 10
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sales
銷售技巧：B2B/B2C 銷售、客戶開發、電商營運、成交策略
miles990/claude-domain-skills 10
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product-management
產品管理：PRD撰寫、用戶故事、OKR設定、路線圖規劃
miles990/claude-domain-skills 10
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marketing
數位行銷策略、內容行銷與成效分析
miles990/claude-domain-skills 10
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project-management
專案管理：敏捷開發、Scrum、甘特圖、風險管理、團隊協作
miles990/claude-domain-skills 10
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single-cell-rna-qc
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.
anthropics/life-sciences 282
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instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
anthropics/life-sciences 282
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scvi-tools
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
anthropics/life-sciences 282
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nextflow-development
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
anthropics/life-sciences 282
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clinical-trial-protocol-skill
Generate clinical trial protocols for medical devices or drugs. This skill should be used when users say "Create a clinical trial protocol", "Generate protocol for [device/drug]", "Help me design a clinical study", "Research similar trials for [intervention]", or when developing FDA submission documentation for investigational products.
anthropics/life-sciences 282
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scientific-problem-selection
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
anthropics/life-sciences 282
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SVG Logo Designer
Create professional SVG logos from descriptions and design specifications. Generates multiple logo variations with different layouts, styles, and concepts. Produces scalable vector graphics that can be used directly or exported to PNG. Use this skill when users ask to create logos, brand identities, icons, or visual marks for their designs.
pengelbrecht/ticks 2
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brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
pengelbrecht/ticks 2
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frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
pengelbrecht/ticks 2
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ticks
Work with Ticks issue tracker and AI agent runner. Use when managing tasks or issues with tk commands, running AI agents on epics, creating ticks from a SPEC.md, or working in a repo with a .tick directory. Triggers on phrases like create ticks, tk, run ticker, epic, close the task, plan this, break this down.
pengelbrecht/ticks 2
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stream-coding
Documentation-first development methodology. The goal is AI-ready documentation - when docs are clear enough, code generation becomes automatic. Triggers on "Build", "Create", "Implement", "Document", or "Spec out". Version 3.5 adds Phase 2.5 Adversarial Review and renames internal verification to Spec Gate (structural completeness). Clarity Gate is now a separate standalone tool for epistemic quality.
frmoretto/stream-coding 81
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stream-coding
Documentation-first development methodology. The goal is AI-ready documentation - when docs are clear enough, code generation becomes automatic. Triggers on "Build", "Create", "Implement", "Document", or "Spec out". Version 3.5 adds Phase 2.5 Adversarial Review and renames internal verification to Spec Gate (structural completeness). Clarity Gate is now a separate standalone tool for epistemic quality.
frmoretto/stream-coding 81
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stream-coding
Documentation-first development methodology. The goal is AI-ready documentation - when docs are clear enough, code generation becomes automatic. Triggers on "Build", "Create", "Implement", "Document", or "Spec out". Version 3.5 adds Phase 2.5 Adversarial Review and renames internal verification to Spec Gate (structural completeness). Clarity Gate is now a separate standalone tool for epistemic quality.
frmoretto/stream-coding 81
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stream-coding
Documentation-first development methodology. The goal is AI-ready documentation - when docs are clear enough, code generation becomes automatic. Triggers on "Build", "Create", "Implement", "Document", or "Spec out". Version 3.5 adds Phase 2.5 Adversarial Review and renames internal verification to Spec Gate (structural completeness). Clarity Gate is now a separate standalone tool for epistemic quality.
frmoretto/stream-coding 81
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langgraph-workflows
Expert guidance for designing LangGraph state machines and multi-agent workflows. Use when building workflows, connecting agents, or implementing complex control flow in LangConfig.
LangConfig/langconfig 22
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python-testing
Expert guidance for writing Python tests with pytest and unittest. Use when writing tests, debugging test failures, or improving test coverage for Python projects.
LangConfig/langconfig 22
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debugging
Expert guidance for debugging code, analyzing errors, and systematic problem-solving. Use when troubleshooting bugs, understanding error messages, or investigating unexpected behavior.
LangConfig/langconfig 22