# xu-xiang/everything-claude-code-zh

everything-claude-code 中文翻译项目：完整的 Claude Code 配置集合（agents, skills, hooks, commands, rules, MCPs）。源自 Anthropic 黑客松获胜者的实战配置，助力中文工程师高效理解与使用 Claude Code。

Repository: https://github.com/xu-xiang/everything-claude-code-zh
Canonical: https://ross.abutalabs.com/products/everything-claude-code-zh
Homepage: https://oneskill.one
Language: JavaScript
License: MIT
License Family: permissive
Topics: ai-agents, anthropic, claude, claude-code, developer-tools, llm, mcp, productivity, everything-claude-code, oneskill
Last push: 2026-03-05T01:45:41+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 70, release rhythm 35, longevity 15
- inputs: {"age_days": 218, "days_push": 182, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1912, forks 311 (observed 2026-08-28T04:05:53.339871+00:00)

## What it is
A Chinese translation of the 'Everything Claude Code' collection: a curated set of production-grade Claude Code configurations including agents, skills, hooks, commands, rules, and MCP setups, originally from an Anthropic hackathon winner. It also includes guides covering token optimization, memory persistence, continuous learning, evals, and sub-agent orchestration.

## Use cases
- set up claude code agents and skills for my workflow
- learn how to configure claude code hooks and rules
- find production-ready mcp configurations for claude code
- optimize token usage in claude code sessions
- understand claude code in chinese
- apply hackathon-winning claude code configs to my projects
- learn sub-agent orchestration and memory persistence patterns

## When to choose
- you use Claude Code (or similar agent frameworks like Codex) and want battle-tested configurations
- you prefer Chinese-language documentation for Claude Code tooling
- you want to learn advanced patterns like token optimization, hooks, and continuous learning

## When to avoid
- you need a runnable application or library rather than configuration files and guides
- you don't use Claude Code or compatible AI agent frameworks
- you need official Anthropic documentation instead of community-curated configs

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, agent-framework, mcp, prompt-engineering, documentation
- domain: developer-tools, large-language-models, tutorials, awesome-lists
- platform: cli, cross-platform
- tags: claude-code, chinese-translation, agents, skills, hooks, configuration-collection, anthropic, llm-workflow, ai-agents

## Member repositories
- xu-xiang/everything-claude-code-zh (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:53.339871+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:10:39.760548+00:00, confidence not recorded.
  - readme: https://github.com/xu-xiang/everything-claude-code-zh (fetched 2026-08-28T04:05:53.339871+00:00, sha d175c8fe5c70)
  - homepage: https://oneskill.one (fetched 2026-08-29T10:50:13.737830+00:00, sha 4016fed608ad)
- Data as of 2026-08-30T08:39:29.467469+00:00.