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paid-acquisition

Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.

Skill by luxiaolei

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/luxiaolei-paid-acquisition

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.

Use cases: finance

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 2, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/paid-acquisition

What's inside

Skill name
paid-acquisition
Description
Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.
License
MIT
Instructions
21 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • SKILL.zh-CN.md

SKILL.md (first lines)

# Paid Acquisition

Paid media is an accelerator and learning channel, not a substitute for an unvalidated product or broken funnel.

## Readiness

Confirm target segment, problem/offer, landing experience, activation/payment events, attribution, creative truth, geography, platform eligibility, and autonomy-policy budget/action limits. If these are not ready, return the missing prerequisite instead of spending.

## Experiment design

Use `growth-experiment`. Keep targeting, creative, offer, and landing variables interpretable. Define spend ceiling, primary business metric (not only CTR), diagnostic metrics, downstream quality, and hard stop/scale rules.

## Operations

Use official ad interfaces/APIs where authorized. Verify campaign/ad state, spend limits, destination links, conversion tracking, and actual delivery after changes. Never infer launch from a successful request alone.

## Review

Report spend, qualified traffic, signup, activation, payment/revenue, CAC or another agreed economics metric, guardrails, attribution limitations, and the decision. Do not scale because an ad has a low CPC if downstream value is weak.

From luxiaolei/AutoSpread, MIT.

More from luxiaolei/AutoSpread

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Last commit (this folder)
Sep 27, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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paid-acquisition skill. Agent Mart. https://agentmart.dev/skills/luxiaolei-paid-acquisition (last updated 2026-10-24)