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Jst-Well-Dan AI Skills

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Browse published AI skills maintained by Jst-Well-Dan. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

15

Repository stars across indexed skills

89

Repository forks

44

Average repository stars per indexed skill

6

Repository stars may repeat across skills from the same repository.

15 skills

Browse skills

GitHub

test-fixing

Jst-Well-Dan

Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass...

GitHub

test-driven-development

Jst-Well-Dan

Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure fir...

GitHub

pict-test-designer

Jst-Well-Dan

Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for...

GitHub

webapp-testing

Jst-Well-Dan

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

GitHub

changelog-generator

Jst-Well-Dan

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of ma...

GitHub

vercel-deploy

Jst-Well-Dan

Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the...

GitHub

vercel-react-best-practices

Jst-Well-Dan

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Trigge...

GitHub

web-fetch

Jst-Well-Dan

Use this skill when users want to scrape web content and convert it to clean Markdown or PDF. Handles workflows like "Save this webpage as PDF", "Fetch this article", "抓取网页内容", or "转换为PDF". Supports cr...

GitHub

development-brainstorming

Jst-Well-Dan

Use when planning software development tasks, before writing code or implementation plans - refines rough technical ideas into fully-formed designs through collaborative questioning, alternative exploration, an...

GitHub

developer-growth-analysis

Jst-Well-Dan

Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, generating a personalized growth report with actionable recommendations.

GitHub

deep-reading-analyst

Jst-Well-Dan

Systematic analysis framework for articles, papers, and long-form content using 5 proven thinking models (McKinsey Communication Framework, Comprehensive Task Checklist, Critical Thinking, Inversion Thinking, S...

GitHub

anthropic-brand-guidelines

Jst-Well-Dan

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 compa...

GitHub

advanced-video-downloader

Jst-Well-Dan

Download and transcribe videos from YouTube, Bilibili, TikTok and 1000+ platforms. Use when user requests video download, transcription (转录/字幕提取), or converting video to text/markdown. Supports quality se...

GitHub

invoice-processor

Jst-Well-Dan

Automatically process invoices (发票) from PDFs/images to Excel spreadsheets using AI vision recognition. Use this skill when users mention "发票", "invoice", "处理发票", "识别发票", "提取发票", or need to conv...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.