# vbgate/learn-opencode

OpenCode 中文实战课源码与内容仓库：一课一页，覆盖入门到实战工作流。

Repository: https://github.com/vbgate/learn-opencode
Canonical: https://ross.abutalabs.com/products/learn-opencode
Homepage: https://learnopencode.com/
Language: Shell
License: NOASSERTION
License Family: other
Topics: opencode, opencode-ai, opencode-cluster, opencode-plugin, opencode-plugins
Last push: 2026-08-25T04:56:55+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 17
- inputs: {"age_days": 238, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1715, forks 221 (observed 2026-08-28T04:05:26.078590+00:00)

## What it is
A free, open-source Chinese-language course (with full source content) teaching OpenCode, an AI coding agent, from beginner setup to advanced workflows like custom agents, skills, and MCP extensions. It is structured as one lesson per page with 18 hands-on projects, 20+ prompt templates, and study notes, published as a VitePress site.

## Use cases
- learn how to use OpenCode AI coding agent from scratch
- set up OpenCode with Chinese LLM providers like DeepSeek or Zhipu
- build AI-assisted content creation workflows for blogs and social media
- use AI agents to refactor, test, and document code
- customize OpenCode with custom agents, skills, commands, and MCP extensions
- automate file organization and data processing with AI
- find ready-to-use prompt templates for AI coding tasks

## When to choose
- you are a Chinese-speaking beginner wanting a structured, free OpenCode tutorial
- you want practice-oriented lessons with projects and prompt templates
- you need direct connectivity to domestic Chinese LLM providers without network hassle

## When to avoid
- you need official OpenCode documentation rather than a third-party course
- you want an English-language tutorial
- you already have advanced OpenCode experience and only need API reference material

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation, agent-framework, prompt-engineering
- domain: tutorials, developer-tools, artificial-intelligence, education
- platform: cli, cross-platform
- tags: opencode, chinese-tutorial, ai-coding-assistant, free-course, prompt-templates, hands-on-projects, vitepress, ai-agents, web

## Member repositories
- vbgate/learn-opencode (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:26.078590+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 2026-08-30T03:34:37.057185+00:00, confidence not recorded.
  - readme: https://github.com/vbgate/learn-opencode (fetched 2026-08-28T04:05:26.078590+00:00, sha 3358b4e11033)
  - homepage: https://learnopencode.com/ (fetched 2026-08-29T11:10:28.929193+00:00, sha 878f25787882)
- Data as of 2026-08-30T08:39:29.467469+00:00.