AGENT SKILLBY NOWORK-STUDIO
Canonical NotFair workflow
AT A GLANCE
Canonical NotFair workflow is a social media agent skill from nowork-studio. Plan and review TikTok Ads creative experiments with measurement, rights, and conversion guardrails. 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-tiktok
- SOURCE REPOSITORY
- nowork-studio/notfair-plugin (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- SKILL.MD SIZE
- 1.6 KB22 LINES
QUICK ANSWER
- WHAT IT IS01
- 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.
- INPUTS02
- Context for social content: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for social content: 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-tiktokREAD 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-tiktok/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-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.
FAQ
07 QUESTIONS
01What is the Canonical NotFair workflow agent skill?
Plan and review TikTok Ads creative experiments with measurement, rights, and conversion guardrails. It is listed under social media 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-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.
03What does the Canonical NotFair workflow SKILL.md cover?
The SKILL.md includes sections on Supporting file: paid-ads/paid-ads-tiktok/SKILL.md, Make the first seconds testable and Operator handoff. Read the full text on this page or in plain markdown at /resources/agent-skills/nowork-studio-notfair-plugin--paid-ads-tiktok--rigdgy/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-tiktok/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.