AGENT SKILLBY NOWORK-STUDIO
Canonical NotFair workflow
AT A GLANCE
Canonical NotFair workflow is a growth skill for AI agents. Plan and prepare a new paid-media campaign or cross-channel test before it can spend. It is published by nowork-studio in the nowork-studio/notfair-plugin GitHub repository (3.4K stars) under the MIT license. Install it with: npx skills add nowork-studio/notfair-plugin --skill paid-ads-launch
- SOURCE REPOSITORY
- nowork-studio/notfair-plugin (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- SKILL.MD SIZE
- 2.3 KB35 LINES
QUICK ANSWER
- WHAT IT IS01
- 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. Its edge is a particular angle on paid media, giving the agent tighter constraints than a plain canonical NotFair workflow request.
- INPUTS02
- Context for paid media: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for paid media: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add nowork-studio/notfair-plugin --skill paid-ads-launchREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 6
Canonical NotFair workflow#
Read ../../paid-ads/paid-ads-launch/SKILL.md (opens in a new tab) completely, then follow it as the active workflow. Resolve every relative reference from that file against ../../paid-ads/paid-ads-launch/.
Supporting file: paid-ads/paid-ads-launch/SKILL.md#
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 all other platforms, 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.
FAQ
07 QUESTIONS
01What is the Canonical NotFair workflow agent skill?
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. It is listed under growth and paid ads in the 100xLab agent skills directory.
02How do I install Canonical NotFair workflow in Cursor, Claude Code, or Codex?
Run npx skills add nowork-studio/notfair-plugin --skill paid-ads-launch 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.
03What does the Canonical NotFair workflow SKILL.md cover?
The SKILL.md includes sections on Supporting file: paid-ads/paid-ads-launch/SKILL.md, Gate the launch, Produce a preflight brief and Execute only on verified surfaces. Read the full text on this page or in plain markdown at /resources/agent-skills/nowork-studio-notfair-plugin--paid-ads-launch--1mitw0b/raw.
04Which agents can use Canonical NotFair workflow?
Canonical NotFair workflow installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Canonical NotFair workflow under?
The nowork-studio/notfair-plugin repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Canonical NotFair workflow free to use?
Reading, copying and installing Canonical NotFair workflow costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Canonical NotFair workflow?
Canonical NotFair workflow comes from https://github.com/nowork-studio/notfair-plugin, which has 3.4K GitHub stars. The SKILL.md is at https://github.com/nowork-studio/notfair-plugin/blob/HEAD/skills/paid-ads-launch/SKILL.md. The author is nowork-studio.
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ATTRIBUTION
Canonical NotFair workflow was written by its original authors and is published in nowork-studio/notfair-plugin (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.