# guodongxiaren/README

README文件语法解读，即Github Flavored Markdown语法介绍

Repository: https://github.com/guodongxiaren/README
Canonical: https://ross.abutalabs.com/products/readme
Homepage: http://blog.csdn.net/guodongxiaren/article/details/23690801
License: Unlicense
License Family: permissive
Topics: readme, gfm, github, flavored, markdown
Last push: 2025-11-24T16:05:32+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 53, release rhythm 35, longevity 100
- inputs: {"age_days": 4462, "days_push": 282, "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 7056, forks 7074 (observed 2026-08-28T04:09:55.587527+00:00)

## What it is
A tutorial repository explaining GitHub Flavored Markdown (GFM) syntax for writing README files, with live examples of headings, tables, images, links, badges, and more. It is written in Chinese and serves as a reference for GitHub documentation formatting.

## Use cases
- learn github flavored markdown syntax
- how to write a good readme
- markdown table and image syntax examples
- format github readme with badges
- markdown syntax reference for github wiki and issues

## When to choose
- you are writing or formatting a GitHub README, wiki, or issue
- you want concrete rendered examples of GFM features
- you prefer Chinese-language documentation tutorials

## When to avoid
- you need a markdown parser or converter library
- you need standard CommonMark rather than GitHub-flavored extensions
- you need English-language documentation

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, markdown
- domain: documentation, developer-tools, tutorials
- platform: -
- tags: github-flavored-markdown, readme-writing, tutorial, chinese-language, web-server

## Member repositories
- guodongxiaren/README (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:55.587527+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 2026-08-29T17:40:30.171290+00:00, confidence not recorded.
  - readme: https://github.com/guodongxiaren/README (fetched 2026-08-28T04:09:55.587527+00:00, sha e0e9a853dd56)
- Data as of 2026-08-30T08:39:29.467469+00:00.