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This entry duplicates paid-ads-launch, which is the one we list in search.

paid-ads-launch

Plan and prepare a new paid-media campaign or cross-channel test before it can spend.

Skill by Swastik023

IndexedMIT
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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.

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About

Plan and prepare a new paid-media campaign or cross-channel test before it can spend. Use when asked to create, launch, start, set up, or allocate budget to an advertising campaign on any supported platform.

Use cases: testing, marketing, finance

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What's inside

Skill name
paid-ads-launch
Description
Plan and prepare a new paid-media campaign or cross-channel test before it can spend. Use when asked to create, launch, start, set up, or allocate budget to an advertising campaign on any supported platform.
License
MIT
Instructions
28 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Paid Ads Launch

Read `../shared/operating-contract.md` and `../shared/measurement-framework.md`.

## Gate the launch

Do not build or recommend a spend plan until these are known: primary conversion and verification method, target CPA/ROAS or customer economics, daily and monthly budget, destination URL, geography, approved offer and claims, and the user who can approve spend. Diagnose tracking before optimizing toward it.

Choose the narrowest viable test. Search demand generally merits Google Search; visual discovery can suit Meta; B2B job/company targeting can suit LinkedIn; marketplace product demand can suit Amazon. A small budget split across several channels is usually an underpowered experiment: explain the tradeoff and set a review date if the user chooses it anyway.

## Produce a preflight brief

Mark the following artifact `ready_for_review`:

| Field | Required content |
|---|---|
| Objective and measurement | Conversion, source of truth, attribution window, baseline, target, and review date |
| Channel and structure | Platform, campaign/ad-set or ad-group structure, audience/query intent, and exclusions |
| Budget | Currency, daily cap, implied monthly maximum, allocation, and pacing guardrail |
| Message chain | Audience motivation, approved claim source, ad concept, CTA, and matching landing URL |
| Experiment | Single primary variable, success metric, guardrail, minimum observation window, and stop condition |
| Readiness | Tracking, policy/rights, creative, access, and dependencies marked complete or blocked |

## Execute only on verified surfaces

For Google Ads, hand the approved brief to `/notfair:google-ads`, then create paused and read it back. For Meta, use `/notfair:meta-ads` for supported operations and route unavailable creation steps to Ads Manager. For X, LinkedIn, Reddit, or TikTok Ads, use the matching live operator skill and create paused or disabled unless activation is explicitly approved. For Amazon and ChatGPT Ads, provide an operator-ready brief unless the current session exposes a verified NotFair connector with the needed capability. Never resume a campaign without a separate explicit approval.

From Swastik023/marketing-api-automation-mcp, MIT.

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Last commit (this folder)
Sep 24, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

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

Same skill elsewhere

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paid-ads-launch skill. Agent Mart. https://agentmart.dev/skills/swastik023-paid-ads-launch (last updated 2026-10-24)