agentleFS
echris6echris6/ai-business-skills/marketing/SKILL.md

marketing

Skill16 starsChanged 36 days agoNo licenceView on GitHub

Get customers through organic posting, paid ads and direct outreach. Use when the user wants to market or launch a product, get traffic or leads, post on Reddit, TikTok, Instagram Reels, YouTube or Shorts, plan content, run or fix paid ads, set up Whop Ads, do cold email, DM or postcard outreach, or work out why their marketing isn't producing sales. Covers picking the channel from the customer profile, the Reddit method of giving the full method away and selling in the DMs (accounts, bans, post structure), the four-part short-form script and its testing system, YouTube titles, thumbnails, scripts and retention, the main principles of paid ads with the Whop Ads setup, and outreach that leads with a sample made for the prospect. Reads business/icp.md and business/context.md and logs results back to business/context.md.

31 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use prototype, frontend-design and 2 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • GoogleSkill

    prototype

    Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

    Also in 3 projects that use this

  • BlockSkill

    frontend-design

    Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

    Also in 4 projects that use this

  • SentrySkill

    skill-creator

    Create new agent skills following the Agent Skills specification. Use when asked to "create a skill", "add a new skill", "write a skill", "make a skill", "build a skill", or scaffold a new skill with SKILL.md. Guides through requirements, writing, registration, and verification.

    Also in 3 projects that use this

  • GoogleSkill

    code-review

    Adversarial systems, concurrency, memory-model, and architecture code review protocol. Use this skill whenever asked to review code, PRs, diffs, or branches in Filament.

    Also in 3 projects that use this

The file

Show its rules and text

We split this skill into the rules it gives an agent

21 rules. 0 are common, 21 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 22 edited versions we read keep these.

  • 21

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 22 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.