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How to ask an agent which skills are worth installing with Best Skills

Give an AI agent the ranking guide so it can answer questions about top skills from current data.

Who it is forA developer who wants to pick agent skills for a project and would rather ask an AI agent than read every table.

The problemSkill registries each show only their own ecosystem, so comparing skills across them by hand is slow.

The outcomeThe agent answers with named skills, their scores, and the source counts behind each score.

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

  1. Open https://github.com/LinklyAI/best-skills and note the Top 10 tables in the README.
  2. Open a session in Claude Code, Codex, Cursor or OpenClaw.
  3. Paste this line into the session: Read https://linkly.ai/skills/llms.txt
  4. Ask a question such as which skills score highest for frontend work, and request the Cov value and per-platform counts for each answer.
  5. Open the matching CSV in the newest dated folder under data/ and confirm the agent's numbers match it.

Prompt for your agent

Read https://linkly.ai/skills/llms.txt, which describes the LinklyAI best-skills rankings. Answer this question: <your question>. Return the top three skills with their Worth-Installing Score, Cov value and per-platform counts. Verify one number against the matching CSV in data/ from the LinklyAI/best-skills repo.

Caveat. The rankings change daily and the README shows only a Top 10 preview, so confirm answers against the dated CSV files.

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