AGENT SKILLBY NOWORK-STUDIO
Canonical NotFair workflow
AT A GLANCE
Canonical NotFair workflow is a paid ads skill for AI agents. Create grounded paid-media creative concepts, copy angles, refresh hypotheses, and measurable test briefs across advertising platforms. The nowork-studio/notfair-plugin repository on GitHub, maintained by nowork-studio, has 3.4K stars and the MIT license. To add it, run npx skills add nowork-studio/notfair-plugin --skill paid-ads-creative
- SOURCE REPOSITORY
- nowork-studio/notfair-plugin (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 2.1 KB32 LINES
QUICK ANSWER
- WHAT IT IS01
- Create grounded paid-media creative concepts, copy angles, refresh hypotheses, and measurable test briefs across advertising platforms. 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-creativeREAD 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-creative/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-creative/.
Supporting file: paid-ads/paid-ads-creative/SKILL.md#
Paid Ads Creative#
Read ../shared/operating-contract.md and ../shared/measurement-framework.md. Route platform execution to /notfair:google-ads-copy, /notfair:google-ads-assets, /notfair:meta-ads-creative, /notfair:paid-ads-x, or /notfair:paid-ads-linkedin as appropriate.
Work from named evidence#
Start with a verified source: winning ads, search terms, customer research, approved landing-page claims, sales calls, reviews with permission, or a documented offer. Match each promise to its landing destination. Do not fabricate testimonials, ratings, prices, outcomes, availability, ownership, or product proof.
Produce a creative slate#
Deliver three distinct ready_for_review concept cards. Each card contains:
- a concept ID and hypothesis: audience × motivation × angle × format × one variable;
- the evidence source and claim ledger, with unsupported claims marked
needs_substantiation; - hook, primary message, CTA, destination, and placement adaptation;
- visual/production brief, including required rights or missing assets;
- success metric, guardrail, attribution window, observation window, and failure condition.
Do not make cosmetic variants of the same idea. Test one strategic variable at a time: hook, proof, format, angle, audience, or destination. Diagnose fatigue with complete-window frequency, link CTR, CPM, and delivery context before recommending a refresh.
Publication boundary#
Validate current platform specifications and policies from a verified source before publishing. A brief or generated image is not proof that a claim is permitted or that the platform accepted the asset. For platforms without a verified NotFair mutation surface, output an operator-ready brief and clear handoff rather than promising an upload.
FAQ
07 QUESTIONS
01What is the Canonical NotFair workflow agent skill?
Create grounded paid-media creative concepts, copy angles, refresh hypotheses, and measurable test briefs across advertising platforms. 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-creative 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-creative/SKILL.md, Work from named evidence, Produce a creative slate and Publication boundary. Read the full text on this page or in plain markdown at /resources/agent-skills/nowork-studio-notfair-plugin--paid-ads-creative--1tvhgkd/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-creative/SKILL.md. The author is nowork-studio.
Need an agent workflow built around your stack?
Tell us the workflow you want automated. We reply within 4 working hours (IST).
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.