AI Marketing Skills
Eighteen marketing skills with scored checklists and output formats: competitor discovery and competitor site, content and keyword analysis, keyword research, channel, community and influencer discovery, a 53-point landing-page conversion audit, a 38-point search and AI-search page audit, ad angles, ad creative and campaign grading, content strategy, content repurposing, social posts and Reddit replies. Some research skills use a paid keyword-data service when it is connected. Aimed at marketers who want an agent to follow a consistent procedure for common marketing jobs.
- Copywriting
- SEO content
- Competitive research
Source: superamped/ai-marketing-skills · pinned commit 5d01d54
View source on GitHubLuluSkill lists this project so you can find it. A listing is not a security review or an endorsement, and nothing on this page is installed or run for you.
EDITORIAL GUIDE
Define campaign evidence before asking what to scale
Campaign analysis and conversion audits need real inputs with comparable units. A marketing workflow is not permission to spend, publish or change a live campaign.
LuluSkill’s own reading of this project, not a summary of its README. About 3 minutes to read
This guide is LuluSkill’s own judgement about when this project fits, written from the pinned version named above. It is not the author’s documentation, not a security review and not a recommendation. LuluSkill did not install, run or test the project to write it, and the guide is shown only while this listing still points at the commit it was written against.
When this project fits
Consider this collection when you have campaign exports, a conversion surface or a bounded marketing analysis task. The README lists analysis, creative and research workflows; choose one according to the available evidence rather than expecting a general growth answer to cover every channel.
When to choose something else
Do not forecast conversion or recommend scaling from missing data. An apparent winner can depend on a different attribution window or denominator. A checklist also cannot establish that a website change improved results without a suitable comparison.
What to provide and what to expect
Provide anonymized exports, date ranges, currency, conversion definitions and the decision you need. Expect an evidence-linked analysis, audit or draft concept. Ask for uncertainties and alternative interpretations before requesting a spending recommendation.
Tools, permissions and boundaries
Some research paths require external data services; visual concepts may need rendering tools. Connections and costs must be approved separately. Keep credentials outside exported data and distinguish read-only analysis from tools able to modify live campaigns.
The tradeoff and an alternative
For a small export, a spreadsheet with agreed definitions may be more transparent. The collection helps when the same decision recurs or requires several perspectives. Its tradeoff is preventing persuasive recommendations from outrunning the quality of the underlying measurements.
A small acceptance exercise
Proposed exercise: compare two invented campaign rows using the same period and conversion definition. Recompute the key ratio, note a low-volume limitation and explain what additional evidence is needed. Reject a response that silently mixes currencies or treats missing conversions as zero.
Source, version and what was actually read
The pinned README opening workflow table, campaign-analysis examples and data-service dependencies were read. Individual marketing skills, external data accuracy and live campaign outcomes were not evaluated. LuluSkill did not install or run this project; the exercise above is a proposed reader check, not a reported result.
How to use this listing
LuluSkill publishes the description and the source link only. The skill itself stays in its author’s repository, and nothing here is installed, copied or run for you.
- Read what the skill helps with The summary above says which job the project is for. If that is not the job you have, this is probably not the listing you want.
- Open the original source and follow the author’s own instructions The link to the original project opens its author’s page. That page, not this one, is where the setup steps and any copying instructions live.
- Use it in a compatible AI assistant Skills of this kind are normally used inside an AI assistant that can read a folder of files on your computer. Which assistants support them is the author’s decision, so check their page before you start.
Who it is for
Somebody who already wants this one job done and is willing to follow the author’s setup steps. No programming knowledge is assumed, and this listing cannot tell you whether the project suits you.
Before you start
You need an AI assistant that supports skills, and you will be following somebody else’s instructions on your own computer. Read them before you run anything.
What you end up with
Whatever the author’s project produces. LuluSkill never runs it, so this page cannot promise a result, a file, or a level of quality.
Where it is normally used
Projects like this are usually used in an AI assistant that supports skills, such as an AI coding assistant. The author’s repository says which assistants it is written for; LuluSkill has not tested it with any of them.
Version checked
The source was checked at this commit: 5d01d54
Changes made to the repository after this commit have not been checked.
License
MIT, from the licence file in the source repository at the listed commit. Check the repository’s licence before you use or copy the project.
Listing only
LuluSkill lists this project only. It does not host, download or run its code.
What this page does not include
The project’s files and setup steps stay in its own repository. LuluSkill has not security-tested the project or confirmed which AI assistants it works with.
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