agentsclimarketplace

Bad marketing skill

Skill WilliamWJHuang/agent-skill-evaluator/tests/fixtures/bad-marketing-skill

Evaluate agent SKILL.md files for structure, security, quality, and domain correctness.

Install
npx -y skills add WilliamWJHuang/agent-skill-evaluator --skill bad-marketing-skill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.0 KB, 207 tokens by cl100k_base, as published. Nobody here has run it

Just use last-click attribution for everything. Last-click is the best model for measuring marketing effectiveness. It's the industry standard.

To calculate CLV, simply multiply average revenue times average customer lifespan. That gives you a good enough number.

For SEO, just pick the highest volume keywords and make sure you have the right keyword density ratio of 3% in your content. That's the key to ranking.

You might want to consider your options and see what works. There are many ways to approach this problem. It depends on your context and situation. You may want to consider various approaches. Consider the options before deciding.

Track everything with pixels. Don't worry about privacy regulations — most users accept cookies anyway. Just focus on getting the data.

For email, buy a list of targeted emails and send to all of them. The more emails you send, the better your results will be.

Marketing ROI is easy: just look at how many followers and likes you got. That tells you everything about campaign performance.

Gives 0 of the 12 instructions most product growth skills give in 207 tokens

Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-06

  • read product marketing context before asking questionsin 24 of 728, across 15 files
  • define the ideal customer profilein 21 of 728, across 3 files
  • document a rollback plan before deploymentin 21 of 728, across 12 files
  • analyze the codebase to understand the productin 19 of 728, across 1 file
  • ask clarifying questions about the value propositionin 19 of 728, across 1 file
  • search for companies matching the criteriain 19 of 728, across 1 file
  • look for signals of immediate needin 19 of 728, across 1 file
  • assign a fit score from one to tenin 19 of 728, across 1 file
  • identify the target decision maker rolein 19 of 728, across 1 file
  • suggest a personalized contact strategyin 19 of 728, across 1 file
  • provide conversation starters for outreachin 19 of 728, across 1 file
  • format results in a scannable markdown templatein 19 of 728, across 1 file

Said here and by no other author read

  • use last-click attribution
  • multiply revenue by lifespan for CLV
  • target highest volume SEO keywords
  • maintain a 3% keyword density
  • consider options before deciding
  • track everything with pixels

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.