AGENT SKILLBY NOWORK-STUDIO
Canonical NotFair workflow
AT A GLANCE
Canonical NotFair workflow is a paid ads skill for AI agents. Connect NotFair paid-ad accounts and establish reusable campaign context. 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-setup
- SOURCE REPOSITORY
- nowork-studio/notfair-plugin (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 2.3 KB34 LINES
QUICK ANSWER
- WHAT IT IS01
- Connect NotFair paid-ad accounts and establish reusable campaign context. Use when setting up paid media in a new workspace, connecting Google, Meta, X, or LinkedIn Ads, refreshing brand context, or preparing an agent. 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-ads-setupREAD 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-setup/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-setup/.
Supporting file: paid-ads/paid-ads-setup/SKILL.md#
Paid Ads Setup#
Read ../shared/operating-contract.md. Do not alter campaigns during setup.
Establish access#
- Detect the requested platform on the universal NotFair MCP. Call
listConnectedPlatforms, then use the existing shared preambles for Google Ads and Meta Ads or thex_ads_andlinkedin_ads_tool surfaces. If the requested platform is missing, direct the user to connect it in NotFair and stop before claiming access. - List only accounts actually returned by the connected surface. Let the user select the intended account when more than one is available; never infer it from an account name.
- For TikTok, Amazon, and ChatGPT Ads, check the available tools before proposing a connection. If no verified connector exists, request a current export or describe the plan-only boundary.
Capture decision-quality context#
Read project documents that are clearly marketing-relevant, then ask only for gaps that data cannot establish:
- product, offer, geography, and primary conversion;
- unit economics: target CPA or break-even ROAS, margin, and customer value;
- approved claims, differentiators, exclusions, and brand voice;
- monthly budget, launch constraints, seasonality, and competitors;
- landing-page URLs and analytics/tracking owner.
Use the Google and Meta audit skills to persist account-specific business context where supported. For X and LinkedIn, report the selected account and context without inventing a persistence surface. Do not overwrite an existing AGENTS.md, CLAUDE.md, or project instructions as a side effect of setup. Offer a clearly marked paid-media context file only after the user approves the exact location and content.
Finish with a gap register#
Report connected platforms, selected accounts, verified conversion signals, available date range, and the smallest next action. State missing tracking, economics, claim proof, or platform access explicitly. Hand off to /notfair:paid-ads-review for a baseline, /notfair:paid-ads-launch for a new campaign, or the platform audit for a deeper diagnosis.
FAQ
07 QUESTIONS
01What is the Canonical NotFair workflow agent skill?
Connect NotFair paid-ad accounts and establish reusable campaign context. Use when setting up paid media in a new workspace, connecting Google, Meta, X, or LinkedIn Ads, refreshing brand context, or preparing an agent. 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-setup 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-setup/SKILL.md, Establish access, Capture decision-quality context and Finish with a gap register. Read the full text on this page or in plain markdown at /resources/agent-skills/nowork-studio-notfair-plugin--paid-ads-setup--2x65cl/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-setup/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.