AGENT SKILLBY NOWORK-STUDIO
Canonical NotFair workflow
AT A GLANCE
Canonical NotFair workflow is a paid ads agent skill from nowork-studio. Coordinate safe, evidence-based paid-media work across Google Ads, Meta Ads, X Ads, LinkedIn Ads, TikTok, Amazon, and ChatGPT Ads. The nowork-studio/notfair-plugin repository on GitHub has 3.4K stars and the MIT license. To add it, run npx skills add nowork-studio/notfair-plugin --skill paid-ads
- SOURCE REPOSITORY
- nowork-studio/notfair-plugin (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 2.2 KB34 LINES
QUICK ANSWER
- WHAT IT IS01
- 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.
- 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-adsREAD 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 · 5
Canonical NotFair workflow#
Read ../../paid-ads/paid-ads/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/.
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.
FAQ
07 QUESTIONS
01What is the Canonical NotFair workflow agent skill?
Coordinate safe, evidence-based paid-media work across Google Ads, Meta Ads, X Ads, LinkedIn Ads, TikTok, Amazon, and ChatGPT Ads. It is listed under 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 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/SKILL.md, Route the work and Operating posture. Read the full text on this page or in plain markdown at /resources/agent-skills/nowork-studio-notfair-plugin--paid-ads--17oea39/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/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.