Who it is forA team lead or indie developer who wants to know which agent skills are gaining traction this week before adopting one.
The problemInstall counts alone can lag, and social posts are scattered across X, Hacker News, Bluesky and GitHub.
The outcomeA short list of skills that appear both in the weekly install gains and in the social buzz counts.
What you need first
- An AI agent that can fetch a URL, or a web browser to open the CSV files
- Node.js with npx to install the skill (inferred)
Steps
- Open the newest dated folder under data/ in the LinklyAI/best-skills repo.
- Open rankings/trending-7d.csv and note the skills with the highest Weekly Δ% values.
- Open rankings/social-buzz.csv and note which of those skills also show counts for X, HN, Bluesky or GitHub.
- Check the Installs column for each shortlisted skill to confirm the install base is large enough for your use.
- Visit the skill's source page linked in the README table before installing.
Prompt for your agent
Using the LinklyAI/best-skills repo, compare rankings/trending-7d.csv and rankings/social-buzz.csv from the newest dated folder under data/. List skills that appear in both files, with their Weekly Δ% and their X, HN, Bluesky and GitHub counts. Verify each skill name appears exactly as written in both CSVs.
Caveat. The README says social judgements are made by a decision model and that a Weekly Δ% can be negative, so read both columns before drawing conclusions.
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