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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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recipe-update-doc

Update existing design documents (Design Doc / PRD / ADR) with review

shinpr
shinpr
629100

test-implement

Test implementation patterns and conventions. Use when implementing unit tests, integration tests, or E2E tests, including RTL+Vitest+MSW component testing and Playwright E2E testing.

shinpr
shinpr
629100

knowledge-absorber

深度解析链接、文档或代码,生成”全能导师级”的教学笔记(零基础直达精通)。具备”真理锚定”校验能力,自动识别幻觉与过时信息。支持国学风格渲染,自动清理广告和无用内容。

yujunzhixue
yujunzhixue
62343

news-extractor

新闻站点内容提取。支持 12 个平台:微信公众号、今日头条、网易新闻、搜狐新闻、腾讯新闻、BBC News、CNN News、Twitter/X、Lenny's Newsletter、Naver Blog、Detik News、Quora。当用户需要提取新闻内容、抓取公众号文章、爬取新闻、或获取新闻JSON/Markdown时激活。

nanmicoder
nanmicoder
621109

ability-generator

Generates a structured skill template based on provided specifications.

lofcz
lofcz
621107

Ability Generator

This skill generates markdown skill templates to be later used.

lofcz
lofcz
621107

codebase-context-extractor

This skill provides a comprehensive context extraction system for large codebases. It intelligently analyzes code structure, dependencies, and relationships to extract relevant context for understanding, debugging, or modifying code.

lofcz
lofcz
621107

company-product-context

Compiles comprehensive company product context from PDF documents, web research, and industry knowledge

lofcz
lofcz
621107

deep-researcher

Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.

lofcz
lofcz
621107

llmtornado-tutorial-generator

Generates comprehensive code tutorials on LlmTornado API formatted for Medium publication with examples, explanations, and best practices.

lofcz
lofcz
621107

pdf-processor

Extracts text and tables from PDF files, fills forms, and merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.

lofcz
lofcz
621107

Research Synthesis Workflow

A step-by-step guide to synthesizing research from multiple sources into a coherent summary.

lofcz
lofcz
621107

skill-creator

Generates Anthropic Skills with complete workflow including GitHub PR creation and local download verification.

lofcz
lofcz
621107

skill-generator

Generates complete Anthropic SKILL packages with proper structure, documentation, and automated download verification.

lofcz
lofcz
621107

bm-md

使用 bm.md 写作、改写、排版或渲染 Markdown;生成 Mermaid 与 AntV Infographic,设置图片尺寸、高亮重点,以及执行 HTML/纯文本转换和 Markdown lint

miantiao-me
miantiao-me
61975

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
anthropics
610110

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
anthropics
610110

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
anthropics
610110

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
anthropics
610110

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
anthropics
610110

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
anthropics
610110

always-verify-gcp

A workflow skill for all Google Cloud resource management tasks (create, delete, modify). This skill ensures that the correct CLI tool (`gcloud`, `bq`, `gsutil`) is chosen and that its commands are verified against the latest official documentation before execution.

rominirani
rominirani
606212

database-schema-validator

Validates SQL schema files for compliance with internal safety and naming policies.

rominirani
rominirani
606212

git-commit-formatter

Formats git commit messages according to Conventional Commits specification. Use this when the user asks to commit changes or write a commit message.

rominirani
rominirani
606212

json-to-pydantic

Converts JSON data snippets into Python Pydantic data models.

rominirani
rominirani
606212

license-header-adder

Adds the standard open-source license header to new source files. Use involves creating new code files that require copyright attribution.

rominirani
rominirani
606212

figma-use

Control Figma via CLI — create shapes, frames, text, components, set styles, layout, variables, export images. Use when asked to create/modify Figma designs or automate design tasks.

dannote
dannote
60441

audit

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popup-studio-ai
popup-studio-ai
603156

bkend-auth

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popup-studio-ai
popup-studio-ai
603156

bkend-cookbook

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popup-studio-ai
popup-studio-ai
603156

bkend-data

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popup-studio-ai
popup-studio-ai
603156

bkend-quickstart

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popup-studio-ai
popup-studio-ai
603156

bkend-storage

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popup-studio-ai
popup-studio-ai
603156

bkit

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popup-studio-ai
popup-studio-ai
603156

bkit-evals

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popup-studio-ai
popup-studio-ai
603156

bkit-explore

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popup-studio-ai
popup-studio-ai
603156

bkit-rules

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popup-studio-ai
popup-studio-ai
603156

bkit-templates

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popup-studio-ai
popup-studio-ai
603156

btw

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popup-studio-ai
popup-studio-ai
603156

cc-version-analysis

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popup-studio-ai
popup-studio-ai
603156

claude-code-learning

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popup-studio-ai
popup-studio-ai
603156

code-review

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popup-studio-ai
popup-studio-ai
603156

control

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popup-studio-ai
popup-studio-ai
603156

deploy

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popup-studio-ai
popup-studio-ai
603156

desktop-app

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popup-studio-ai
popup-studio-ai
603156

development-pipeline

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popup-studio-ai
popup-studio-ai
603156

dynamic

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popup-studio-ai
popup-studio-ai
603156

enterprise

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popup-studio-ai
popup-studio-ai
603156

mobile-app

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popup-studio-ai
popup-studio-ai
603156

pdca

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popup-studio-ai
popup-studio-ai
603156

Page 259 of 1681 · 84045 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.