agentleFS
cheyuriycheyuriy/codelabgen/skills/source-articles/SKILL.md

source-articles

Skill1 starsChanged 23 days agoMITView on GitHub

How to find good third-party articles about a technology for a codelabgen course — Medium, Habr, dev.to, personal and company engineering blogs, and comparison articles — in the course language and in English, while filtering out low-quality posts. Source type `article`.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run WebSearch with several queries, in English and in the course language:

    line 13
  2. Distinctive:

    Read each candidate before recording it.

    line 22

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Articles (article)

Independent articles bring what official docs often lack: an outside view, real projects, war stories and comparisons. They also contain the worst content on the web, so filter hard.

Where and how to search

Run WebSearch with several queries, in English and in the course language:

  • tutorials with code: "<topic>" tutorial example, <topic> step by step, Russian: <topic> пример, <topic> разбор, site:habr.com <topic>
  • deep dives: <topic> internals, how <topic> works under the hood, <topic> architecture
  • experience reports: <topic> in production, lessons learned <topic>, <topic> pitfalls, <topic> подводные камни
  • comparisons: <topic> vs <alternative>, when not to use <topic>, <topic> alternatives. Take the alternatives from research/overview.md.
  • platforms: Medium, dev.to, Habr, Hashnode, Substack, company engineering blogs. Personal blogs of the maintainers are often the best of all.

Filter

Read each candidate before recording it. Reject:

  • AI-generated filler: generic intros, no specifics, code that wouldn't run
  • copies of the official quickstart with nothing added
  • posts for an old major version with APIs that have since changed, unless the reasoning itself is valuable (then concepts only, and say so)
  • paywalled content you couldn't read

Signals of quality: a real project, complete code or a linked repo, a named author with other work on the topic, discussion of trade-offs, a recent date.

Roles

  • deep dives and explanations: concepts
  • comparison articles: concepts. In reason, say what it is compared with and what that teaches.
  • production stories and pitfalls posts: pitfalls
  • tutorials with current, working code: code-truth, structure (when they show a learning sequence)

Expect most articles to score 0.5–0.8. Record the language of each article.

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.