A growing library of AI agent skills for OpenCode/Claude Code covering video generation, image creation, social media automation, data analysis, and multi-agent interoperability.
git clone https://github.com/zrt-ai-lab/opencode-skills.gitopencode-skills is an open-source collection of reusable AI agent skills designed for OpenCode, Claude Code, Cursor, and compatible coding agents. The library includes skills for automating social media publishing on Douyin, Xiaohongshu, and WeChat Video Channel using Playwright-based browser automation, as well as video generation, image generation and editing, CSV data analysis, deep research report generation, intelligent database querying, log analysis, MCP server creation, and multi-agent protocol interoperability (ANP, MCP, A2A, AITP, AP, LMOS). Each skill is a self-contained module with its own README, making it straightforward to drop individual capabilities into an existing agent workflow. The project is actively maintained with new skills added regularly, targeting developers and teams building AI-powered automation pipelines in Chinese and global tech ecosystems.
Clone the repository and navigate to the individual skill folder you need; each skill is self-contained with its own README documenting dependencies and configuration. Skills are intended to be loaded into OpenCode, Claude Code, or compatible AI coding agents as modular instruction sets.
Automatically publish videos to Douyin with QR-code login and scheduled posting via Playwright
Generate Xiaohongshu graphic cards across 8 themes and auto-publish them
Post videos to WeChat Video Channel with original declaration and collection management
Analyze CSV datasets and produce summarized statistical reports
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/zrt-ai-lab/opencode-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a Python script to automate [TASK] for [COMPANY] in the [INDUSTRY] sector. The script should process [DATA] and output [OUTPUT_FORMAT]. Include error handling and comments for clarity.
# Automated Data Processing Script for [COMPANY]
# Industry: [INDUSTRY]
# Task: Process [DATA] and generate [OUTPUT_FORMAT]
import pandas as pd
# Load the data
try:
data = pd.read_csv('[DATA_FILE.csv]')
except FileNotFoundError:
print('Error: File not found. Please check the file path.')
exit()
# Data processing steps
# 1. Clean data
# 2. Filter relevant information
# 3. Generate output
# Clean data
data = data.dropna()
# Filter relevant information
filtered_data = data[data['Column1'] > 100]
# Generate output
filtered_data.to_csv('[OUTPUT_FILE.csv]', index=False)
print('Data processing completed successfully.')AI assistant built for thoughtful, nuanced conversation
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