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Tech news digest

Skill 6uclz1/skills/tech-news-digest

Gather and summarize recent technology signals from representative English and Japanese developer communities using RSS/Atom/RDF feeds first. Use when Codex should scan tech communities, create a concise tech-news digest, compare English/Japanese trends, monitor software/AI/web/infrastructure/security topics, or identify a small set of articles worth deeper review without bulk scraping article HTML.From its SKILL.md

Install
npx -y skills add 6uclz1/skills --skill tech-news-digest

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

  • 0 stars0 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 file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.5 KB, 450 tokens by cl100k_base, as published. Nobody here has run it

Tech News Digest

Workflow

Use the bundled scanner before browsing individual articles:

python3 scripts/scan_tech_feeds.py --sources references/default_sources.json --days 3 --top 20 --detail-candidates 5 --format markdown

Use python instead of python3 when that is the available interpreter. Add --format json when you need structured data for additional processing.

Source Strategy

  • Prefer RSS, Atom, and RDF feeds from references/default_sources.json.
  • Do not bulk-fetch article pages or scrape HTML directly during the broad scan.
  • Read only the feed-provided title, URL, published time, source, language, and short summary/description.
  • Inspect full article pages only for the highest-value detail_candidate items, and only as needed to answer the user.
  • If a feed fails, keep going and mention important gaps in the final digest.

Interest Tuning

Use keyword flags to adapt the scan without editing the default source file:

python3 scripts/scan_tech_feeds.py --include-keyword rust --include-keyword security --exclude-keyword sponsored

Use repeated flags or comma-separated values. Treat include keywords as score boosts, not hard filters; treat exclude keywords as filters.

If network calls are slow, lower the per-feed timeout:

python3 scripts/scan_tech_feeds.py --timeout 6 --top 10

Digest Format

After scanning, produce a concise digest with these sections:

  • Top signals: 3-7 cross-community or high-impact themes with source links.
  • English communities: notable items from Hacker News, Lobsters, Reddit, DEV, or similar English-language sources.
  • Japanese communities: notable items from Hatena Bookmark IT, Qiita, Zenn, JSer.info, Publickey, or similar Japanese-language sources.
  • Worth deeper read: the few articles most worth opening and reading closely, with why they matter.
  • Sources checked: feeds checked, feed failures, and the time window.

Keep summaries short. Clearly distinguish feed-derived summaries from conclusions made after reading a selected article.

What ships with it: 4 files

28.5 KB alongside SKILL.md, 2 of them executable

agents/

references/

scripts/

tests/

Keep looking

Skills are one crate of 326,679. 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.