Canonical NotFair workflow
Quick answer
- 01What is it?
- Coordinate safe, evidence-based paid-media work across Google Ads, Meta Ads, X Ads, LinkedIn Ads, TikTok, Amazon, and ChatGPT Ads. The value is a focused slice of paid media judgment, useful when several similar skills cover the same ground.
- 02Inputs
- Context for paid media: your goals, audience, constraints, and any source material the skill asks for.
- 03Output
- A ready-to-use result for paid media: the analysis, copy, or recommendations the agent produces.
Add this skill
Install as a package
Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.
$ npx skills add nowork-studio/notfair-plugin --skill paid-adsSkill instructions
The instruction file for this skill. The skill also includes other files you need to install to use it.
Canonical NotFair workflow
Read ../../paid-ads/paid-ads/SKILL.md completely, then follow it as the active workflow. Resolve every relative reference from that file against ../../paid-ads/paid-ads/.
Supporting file: paid-ads/paid-ads/SKILL.md
Paid Ads
Read ../shared/operating-contract.md and ../shared/measurement-framework.md before acting.
Start with the business outcome, not a platform request. Establish the conversion, its value or break-even threshold, the target metric, daily and monthly budget, geography, landing destination, and whether tracking is verified. If an input is unavailable, label the resulting recommendation as a draft rather than filling the gap with a generic assumption.
Route the work
| Request | Use |
|---|---|
| Connect accounts, discover access, or capture workspace context | /notfair:paid-ads-setup or /notfair:paid-ads-integrations |
| Audit Google or Meta before making changes | /notfair:google-ads-audit or /notfair:meta-ads-audit |
| Operate Google or Meta accounts | /notfair:google-ads or /notfair:meta-ads |
| Audit or operate X Ads or LinkedIn Ads | /notfair:paid-ads-x or /notfair:paid-ads-linkedin |
| Plan a new cross-channel campaign | /notfair:paid-ads-launch |
| Read a weekly/monthly scorecard | /notfair:paid-ads-review |
| Cut waste or reallocate an approved budget | /notfair:paid-ads-optimize |
| Write evidence-backed concepts, copy, or a refresh test | /notfair:paid-ads-creative |
| Plan TikTok, Amazon, or ChatGPT Ads | /notfair:paid-ads-tiktok, /notfair:paid-ads-amazon, or /notfair:paid-ads-chatgpt |
For a single-platform request, route directly rather than duplicating a specialized workflow. Establish that the platform's own verified connector is available before promising an account read or write.
Operating posture
Lead with the decision: what is working, what is not, and the one action with the most defensible impact. Keep recommendations measurable and reversible. A campaign plan, creative brief, or allocation table is ready_for_review; it becomes published only after the platform confirms the exact object and settings.
Common questions
How do I install Canonical NotFair workflow in Cursor, Claude Code, or Codex?
Run npx skills add nowork-studio/notfair-plugin --skill paid-ads in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Canonical NotFair workflow, not every skill in the repository.
Where does Canonical NotFair workflow come from and what license is it under?
Canonical NotFair workflow comes from the nowork-studio/notfair-plugin repository on GitHub. That repository has 3.4K GitHub stars. The skill is published under the MIT license.
Prefer plain text? Read the Canonical NotFair workflow guide as markdown.
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