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Report abuse"""For better readability, the following code is not runnable π"""
from dataclasses import dataclass
from typing import Literal
@dataclass
class Josix:
pronouns: Literal["he"] | Literal["him"]
website: str = "https://josix.tw"
digital_garden: str = "http://note.josix.tw/"
email: str = "josixwang(at)gmail.com"
languages: list[str] = ["zh-tw", "en-us"]
code: list[str] = ["Python", "JavaScript", "TypeScript"]
expertise: list[str] = [
"python engineering",
"ml & information retrieval",
"data systems",
"full-stack development",
"community leadership",
"AI/LLM engineering",
"claude code & AI agents"
]
ask_me_about: list[str] = [
"python tooling",
"search systems",
"ml in production",
"data architecture",
"python conferences",
"productivity tools",
"AI agents",
"LLM tooling"
]
communities: dict[str, list[str]] = {
"volunteer": ["PyConTW'19", "PyConTW'20", "PyConTW'21", "PyConAPAC'22", "PyConTW'24"],
"team_lead": ["PyConTW'21", "PyConAPAC'22", "PyConTW'23"],
}
technologies: dict[str, list[str]] = {
"backend": ["fastapi", "django"],
"frontend": ["reactjs", "vuejs", "nuxtjs", "redux", "webpack", "tailwindcss"],
"tools": ["airflow", "elasticsearch", "clickhouse", "docker"],
"shell": ["bash", "zsh"],
"machine_learning": ["pytorch", "pytorch-geometric"],
"editors": ["vscode", "vim"],
"databases": ["postgresql", "mongodb", "redis"],
"cloud": ["aws", "gcp", "kubernetes"],
"ai_llm": ["claude-code", "mcp", "multi-agent-orchestration"]
}
interests: dict[str, list[str]] = {
"data_science": ["learning to rank", "feature engineering", "search optimization"],
"software_engineering": ["python ecosystem", "database systems", "performance tuning"],
"management": ["leadership coaching", "performance improvement", "communication"],
"personal_development": ["mindset", "emotional intelligence", "productivity"],
"design": ["material design", "ui/ux", "pixel density"],
"ai_engineering": ["AI agent systems", "LLM tooling", "multi-agent orchestration", "prompt engineering"]
}I maintain a comprehensive digital knowledge base and technical blog covering:
π awesome-claude-mdCurated collection of exemplary claude.md files (226+ stars). Best practices, templates, and onboarding patterns for AI development workflows. Tech Stack: Documentation, AI Tools, Best Practices |
π Personal Tech BlogTechnical blog and knowledge base covering Python engineering, ML systems, and data architecture. Built with modern web technologies. Tech Stack: JavaScript, Web Development |
π Python Docs zh-TWContributing to the Traditional Chinese translation of Python Documentation - helping make Python accessible to Chinese-speaking developers. Tech Stack: Python, Documentation, Translation |
β‘ agent-flowClaude Code multi-agent orchestration plugin with specialized agents for exploration, planning, implementation, review, and verification. Tech Stack: Shell, AI Agents, Claude Code, MCP |
Powered by AgentsView β tracking AI coding sessions across 234 projects since 2024-05
How it works: This section is automatically updated every 30 minutes using a GitHub Actions workflow that fetches my latest GitHub activities and updates this README file.
Curated collection of exemplary claude.md files and onboarding patterns from public GitHub projects. Includes analyses, best practices, and templates to help developers create effective AI onboardiβ¦
A Claude Code plugin that transforms Claude into a multi-agent orchestrated system with specialized agents (Riko, Senku, Loid, Lawliet, Alphonse), verification gates, and cost-aware model selection.
A Claude Code plugin + offline-first retrieval engine that indexes your project's own docs and code, then compares six retrieval strategies β contextual BM25, LLM-enriched lexical, dense ANN, Lucenβ¦
Python
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