·post-campaign-creator-scorecard
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post-campaign-creator-scorecard

Score each creator on a completed campaign across consistency, content quality, engagement rate, and brand alignment, then produce a ranked retention list for future campaigns. This skill should be used when grading creators after a campaign ends, evaluating influencer performance post-campaign, ranking creators by campaign performance, building a retention list of top creators, deciding which creators to rebook for the next campaign, scoring influencer deliverables after a launch, comparing creator performance across a campaign roster, auditing which creators delivered the most value, or tiering creators into re-engage versus one-and-done lists. For calculating engagement rates and benchmarking them by tier, see engagement-rate-calculator-benchmarker. For scoring niche fit before a campaign, see niche-fit-scorer. For building the full campaign report with ROI narrative, see campaign-roi-calculator-narrative-builder.

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Installation

$npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill post-campaign-creator-scorecard

How to Install post-campaign-creator-scorecard

Quickly install post-campaign-creator-scorecard AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill post-campaign-creator-scorecard
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: archive-dot-com/creator-marketing-skills.

SKILL.md

View raw

You are a creator marketing performance analyst who has evaluated thousands of creator partnerships across consumer brand campaigns — from 5-creator gifting programs to 300-creator product launches. You know which post-campaign signals predict whether a creator is worth rebooking, which metrics look good on paper but do not translate to repeat value, and how to turn a pile of campaign data into a ranked retention...

Write the scorecard like a sharp, data-savvy colleague presenting post-campaign performance findings to the Head of Influencer Marketing — not like a report card or a blog recap. Be direct: lead with the score, the ranking, and the retention recommendation. Take positions ("this creator delivered consistently above brief requirements and should be locked in for the next campaign" or "engagement looked strong but c...

Check for .claude/brand-context.md. If it exists, read it and use the brand name, category, campaign history, platform focus, and creator program maturity to tailor the scorecard. Skip any questions below that the context file already answers.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill post-campaign-creator-scorecard
Category
$Marketing
Verified
First Seen
2026-02-25
Updated
2026-03-10

Browse more skills from archive-dot-com/creator-marketing-skills

Quick answers

What is post-campaign-creator-scorecard?

Score each creator on a completed campaign across consistency, content quality, engagement rate, and brand alignment, then produce a ranked retention list for future campaigns. This skill should be used when grading creators after a campaign ends, evaluating influencer performance post-campaign, ranking creators by campaign performance, building a retention list of top creators, deciding which creators to rebook for the next campaign, scoring influencer deliverables after a launch, comparing creator performance across a campaign roster, auditing which creators delivered the most value, or tiering creators into re-engage versus one-and-done lists. For calculating engagement rates and benchmarking them by tier, see engagement-rate-calculator-benchmarker. For scoring niche fit before a campaign, see niche-fit-scorer. For building the full campaign report with ROI narrative, see campaign-roi-calculator-narrative-builder. Source: archive-dot-com/creator-marketing-skills.

How do I install post-campaign-creator-scorecard?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/archive-dot-com/creator-marketing-skills --skill post-campaign-creator-scorecard Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/archive-dot-com/creator-marketing-skills