What is awesome-workbuddy-skills?

This repository is a curated index of ready to use AI Agent skills built around the WorkBuddy and Coze platforms. Rather than being one piece of software, it works as a directory that points to 18 separate skill repositories (with 22 planned), each one a small, focused capability an AI agent can load and run directly through a file called SKILL.md. The skills are grouped into a handful of categories. There is a set for automation and browser scraping, including tools for disguising browser fingerprints, typing and clicking in a more human like way, and configuring Playwright to avoid being detected as a bot. Another group handles data work: turning API documentation into structured field maps, exporting records to styled Excel or CSV files, aligning messy Chinese and English field names, merging configuration across development, test, and production environments, and converting shipping or e-commerce units like kilograms and centimeters. There are also skills for the WeChat ecosystem, such as setting up WeChat Pay or push notifications, and for building WeChat mini programs, including full stack scaffolding and canvas based visual verification. A separate group covers generating printable Canvas and PDF content, like Chinese handwriting practice sheets or multi page reports, plus tools for replicating SVG designs onto canvas with near zero error. There are also two smaller categories: one for AI collaboration and quality checking, offering a generated acceptance checklist for reviewing AI produced work, and a project planning wizard, and one skill for agent to agent communication using the A2A protocol. To use any of these, a person copies the SKILL.md file from the relevant repository into their agent's skills folder, and the agent can then pick it up automatically when a matching task comes up. Some skills need a Python or Node runtime, with setup instructions included in each one's own SKILL.md. The individual skill repositories carry their own licenses, while this index itself is released under the MIT license.