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Github project learn

Skill shangjunyang1986/ai-learning-skills/skills/github-project-learn

Turn a GitHub project / paper / technical book / field into an offline, shareable, interactive learning page — a family of standard skills (Claude Code, Codex, Gemini, OpenCode…). Personal use; not token-optimized.

Install
npx -y skills add shangjunyang1986/ai-learning-skills --skill github-project-learn

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Turn a GitHub project or organization into an offline, visual learning website — a single self-contained HTML page with a left-hand table of contents, right-hand content, and the project's own images / diagrams / video covers downloaded locally. Use this whenever the user wants to LEARN, STUDY, UNDERSTAND, or "get into" a GitHub repo or org and finds reading the raw README slow or dry — e.g. "帮我学习这个 github 项目", "把这个 repo 做成学习网页/教程", "我想搞懂 github.com/x/y", "这个项目很好我想研究它", "give me a study page / learning guide for this repository", "下载这个项目并讲解怎么用". Triggers on a GitHub URL plus any intent to learn/onboard/evaluate it, even if the user doesn't say the words "website" or "HTML". Handles both single repos and whole organizations (multiple repos). Not for: fixing bugs in a repo, generic web design unrelated to a GitHub project, or pure API/CLI work.

SKILL.md

5.2 KB, as published. Nobody here has run it

github-project-learn

Turn a GitHub project or organization into a single, offline-openable learning page: left = table of contents, right = study content, with the project's official media (images, architecture diagrams, video covers) downloaded into a local assets/ folder. The goal is to replace a slow, dry README read with something you can grasp fast and keep — and, for a research project, to explain the architecture and principles from the actual diagrams, not a paraphrase.

When to use

The description covers triggering. In short: a GitHub URL + any "I want to learn / study / understand / evaluate this" intent. Works for one repo or a whole org.

Output shape

A folder (default <repo-or-org-name>-learn/) containing:

  • index.html — self-contained (inline CSS+JS), double-click to open, fully offline
  • assets/ — downloaded media (images, diagrams, video covers)
  • scripts/ — generated check-env + setup helpers for the optional install step

The page is a single static HTML file on purpose: no build step, no server, trivially shareable, and the media plays/renders offline. Don't reach for React/Vite here.

Workflow (high level)

  1. Detect org vs single repo and confirm the deep-dive target with the user. This decision reshapes the page — get it right first. In org mode, go three tiers: overview + selection map → a detailed profile per top repo (not just a table row) → one flagship deep-dive.
  2. Research the real content with WebFetch (positioning, architecture, deploy steps, media URLs). Use subagents in parallel when available. Never invent facts/stars/URLs.
  3. View the architecture diagrams yourself (Read the downloaded images) and write the architecture + principle sections from them. Also produce a code-structure & tech-stack section — language breakdown, key dependencies, an annotated directory tree, and a "read these files first" order — all from the GitHub API, no cloning (workflow.md Step 1.5).
  4. Gather related projects (real stars + last-update via the GitHub API), learning videos (YouTube + Bilibili, honest about gaps), and a glossary of the jargon.
  5. Download media with scripts/fetch-media.sh into assets/ (handles Git LFS and blocked hosts automatically).
  6. Generate the page by copying assets/template.html and replacing its content, keeping the CSS/JS and section scaffolding.
  7. Deploy section: summarize the official steps; generate env-check + setup scripts from the templates; by default DON'T actually install — leave a backfill placeholder unless the user asks to really clone/run it.

Read references/workflow.md for the step-by-step detail, references/page-design.md for the section list + styled components, and references/media-gotchas.md before downloading anything (Git LFS, Bilibili TLS, proxies — these will bite otherwise).

Bundled resources

  • assets/template.html — the proven page (a worked OmAgent example). Copy it, keep its CSS + JavaScript (lightbox, scroll-spy, searchable glossary, copy buttons, video cards), replace all content. This is the structural template and a reference for how each component is used.
  • assets/check-env.template.ps1, assets/setup-project.template.ps1 — adapt for the target (repo URL, package name, example path) to fill the hands-on/deploy section.
  • scripts/fetch-media.sh — ./fetch-media.sh <out>/assets name1=url1 name2=url2 …. Auto-fixes Git LFS pointers and routes blocked hosts (hdslb/bilibili) through a proxy. Run it via the Bash tool (git-bash curl), not Windows cmd curl.

Principles that make the page good

  • Faithful, never fabricated. Stars, dates, media URLs, results — all from real fetches. If something doesn't exist (e.g. no learning video), say so plainly.
  • Diagrams over prose. The architecture/principle sections should reflect what the real diagrams show; that's the value-add over the README.
  • Offline-first. Relative assets/ paths; verify every download is a real image before referencing it.
  • Confirm scope before a long run. Org-vs-repo split, deep-dive target, and "actually install or just document" — check these with the user up front.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.