Canonical NotFair workflow
Quick answer
- 01What is it?
- Plan and review TikTok Ads creative experiments with measurement, rights, and conversion guardrails. What sets it apart is how it narrows social content into one specific workflow rather than a broad, generic prompt.
- 02Inputs
- Context for social content: your goals, audience, constraints, and any source material the skill asks for.
- 03Output
- A ready-to-use result for social content: 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-ads-tiktokSkill 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-tiktok/SKILL.md completely, then follow it as the active workflow. Resolve every relative reference from that file against ../../paid-ads/paid-ads-tiktok/.
Supporting file: paid-ads/paid-ads-tiktok/SKILL.md
TikTok Ads Planning
Read ../shared/operating-contract.md and ../shared/measurement-framework.md. This plugin does not declare a first-party NotFair TikTok MCP mutation surface; plan and review from verified source material only.
Make the first seconds testable
Define the conversion event, measurement owner, destination, and approved offer before writing creative. Build concepts around a distinct first-second hook, product demonstration or proof, native-format production direction, CTA, and placement-safe crop. Verify creator rights, music licensing, testimonials, and price/result claims; label unknown proof needs_substantiation.
Use a small slate of genuinely different hooks or formats. Each includes the audience hypothesis, creative variable, primary metric, guardrail, expected exposure, review date, and what result would retire the concept. Do not treat views or CTR as a conversion win without the named downstream measure.
Operator handoff
Give the human operator an exact launch brief: objective, budget in account currency, targeting logic, exclusions, event/pixel requirements to validate in the current platform UI, creative files needed, and status. Do not invent TikTok settings, eligibility, budget floors, or publication confirmation without a current verified source.
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-tiktok 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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