Agent Skills › gooseworks-ai/goose-skills › analyze-performance-rank-and-read

analyze-performance-rank-and-read

GitHub

分析创意表现排名,按角度、钩子和格式对广告进行分组和评分,生成渠道阅读报告及后续制作建议。

skills/marketing/analyze-performance-rank-and-read/SKILL.md gooseworks-ai/goose-skills

Trigger Scenarios

需要评估广告创意效果时 制定下一步内容制作策略时

Install

npx skills add gooseworks-ai/goose-skills --skill analyze-performance-rank-and-read -g -y
More Options

Non-standard path

npx skills add https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/analyze-performance-rank-and-read -g -y

Use without installing

npx skills use gooseworks-ai/goose-skills@analyze-performance-rank-and-read

指定 Agent (Claude Code)

npx skills add gooseworks-ai/goose-skills --skill analyze-performance-rank-and-read -a claude-code -g -y

安装 repo 全部 skill

npx skills add gooseworks-ai/goose-skills --all -g -y

预览 repo 内 skill

npx skills add gooseworks-ai/goose-skills --list

SKILL.md

Frontmatter
{
    "name": "analyze-performance-rank-and-read",
    "version": "0.1.1",
    "description": "Step of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use."
}

Creative ranking and channel reads (atom)

Load: ../analyze-performance/references/creative-and-channels.md.

Inputs: meta_read performance (ranked by spend; the scorecard on the settled days: 14 minus days: 3 window, 7- and 28-day reads for the fatigue trend); each Goose ad's angle annotation (ads_creative_read and the campaign concepts); the non-Goose export; UTM store conversion per angle; email export; social_analytics_get posts and accounts; Google export and search terms; app/local exports.

Do:

  1. Creative: group by angle → hook → format; rank by spend; apply minimum-spend gates; verdict with confidence; fatigue trend; name no winner if insight.available is false; state coverage.
  2. Build the per-channel and per-ad scorecards against last run's rows and the angle history line (../analyze-performance/references/run-memory.md).
  3. Draft "what to make next" from the history: tiring 2+-run winners first, retire losers, fair test for too-early, organic overperformers as paid candidates; nothing that already failed without a new reason; unmade items carried with their first date — producer and date for each.
  4. Email & SMS, organic, Google (+ wasted-spend terms), apps, local: one short block each, or "not measured this week" / "not used".
  5. Future rows: creators (codes), outreach (reply rates), WhatsApp — named, never dropped.

Output: the scorecards for the run record; the report's Creative ranking, channel blocks, channel-table rows and What-to-make-next draft.

Version History

  • 1add09b Current 2026-11-02 21:49

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Metadata

Files
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Version
1add09b
Hash
02e0b1fe
Indexed
2026-11-02 21:49

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