# Maka Architecture Docs

Draft, restructure, translate, or review bilingual Chinese-English architecture...

- Repository: https://github.com/apache/maka (5932 stars)
- Category: AI and agents
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add apache/maka --skill maka-architecture-docs -g -a claude-code -y`
Codex: `npx skills add apache/maka --skill maka-architecture-docs -g -a codex -y`
Cursor: `npx skills add apache/maka --skill maka-architecture-docs -g -a cursor -y`
Gemini CLI: `npx skills add apache/maka --skill maka-architecture-docs -g -a gemini-cli -y`

## Description

Draft, restructure, translate, or review bilingual Chinese-English architecture documentation for the Maka Agent backend. Use when Codex works on Maka technical narratives, component or mechanism explanations, architecture decisions, system flows, engineering guides, or documentation quality checks and needs blog-like clarity without losing architectural precision. Do not use it to impose a fixed topic list or information architecture unless the user asks for one.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

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# Maka Architecture Docs

Create architecture documentation that is easy to enter, technically rigorous, and maintainable in both Chinese and English. Treat the user's chosen subject and document organization as constraints; this skill governs writing quality, evidence, bilingual consistency, and review.

## Select the task mode

- **Draft**: create a new document from code, design notes, interviews, or a user brief.
- **Rewrite**: improve an existing document while preserving its technical meaning.
- **Translate**: produce a natural counterpart in the other language, not a sentence-by-sentence transliteration.
- **Review**: identify concrete gaps in clarity, evidence, correctness, or bilingual consistency.
- **Standardize**: align multiple documents on terminology, metadata, status labels, and structure without forcing them into identical narratives.

Confirm the intended mode from the request. Infer it when safe; ask only when different interpretations would materially change the output.

## Follow the workflow

The rest: https://github.com/apache/maka/blob/HEAD/skills/maka-architecture-docs/SKILL.md