eval-suite
Batch evaluate multiple content pieces. Use when: scoring a content library, campaign assets, or deliverable set.
npx skills add indranilbanerjee/digital-marketing-pro --skill eval-suite --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /digital-marketing-pro:eval-suite ## Purpose Batch evaluation across multiple content pieces to produce a portfolio-level quality assessment. Evaluate an entire content library, all assets in a campaign, or a set of deliverables in one run. Instead of evaluating content one piece at a time, this command processes everything together and delivers a holistic view of content quality. The output includes content rankings, per-dimension analysis, overall quality distribution, common issues across the set, and a prioritized revision list. This is the command to use before a campaign launch (to catch weak assets before they go live), during a content audit (to assess library health), or after a production sprint (to quality-check all deliverables at once). Every evaluation is logged to the quality tracker for longitudinal trend analysis. ## Input Required The user must provide (or will be prompted for): - **Content sources**: One or more of the following: - A list of file paths (e.g., "evaluate these 5 files: email-v1.txt, email-v2.txt, landing-page.html, ad-copy-fb.txt, ad-copy-google.txt") - A directory path (e.g., "evaluate everything in /campaign-q1-assets/") — all text-based files
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- Input Required
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What does the eval-suite skill do?
Batch evaluate multiple content pieces. Use when: scoring a content library, campaign assets, or deliverable set.
How do I install it?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill eval-suite --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.