Agent skill

Offer Extraction

by realkimbarrett in realkimbarrett/advertising-skills

A skill your agent uses when you need to turn a product or service into a compelling, high-converting offer.

MITAuto-check passedMarketing & SEO

Install Offer Extraction

skills CLI
$ npx skills add realkimbarrett/advertising-skills --skill offer-extraction -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install realkimbarrett/advertising-skills offer-extraction --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/realkimbarrett/advertising-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/foundations/offer-extraction .claude/skills/offer-extraction && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
offer-extraction
GitHub stars
760
Token cost
~226 tokens
SKILL.md length
87 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when you need to turn a product or service into a compelling, high-converting offer.

  • Works in 4 steps: Define outcome → Extract value → Build tension → …
  • You need to turn a product
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Service into a compelling

What it does

Offer Extraction is an agent skill from realkimbarrett/advertising-skills. Use when you need to turn a product or service into a compelling, high-converting offer. Trigger on "offer", "why would someone buy", "improve conversions", "value proposition".

Its SKILL.md is about 230 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Positioning and messaging. The repository describes itself as: Advertising Skills for Open Claw, Claude Code & AI agents. Direct response, paid ads, funnels, and copy systems. The licence is MIT.

When your agent uses it

  • You need to turn a product
  • Service into a compelling
  • High-converting offer
  • Why would someone buy

Example prompts

  • “why would someone buy”
  • “improve conversions”
  • “value proposition”
  • “/offer-extraction”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Define outcome
  2. Extract value
  3. Build tension
  4. Refine

What it can do on your machine

Read from SKILL.md and the folder at commit 45f4a4a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Offer Extraction loads about 226 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 87 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~226

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from realkimbarrett/advertising-skills at commit 45f4a4a, republished under its MIT licence (© realkimbarrett). 87 words, ~226 tokens.

Download SKILL.mdSave it as .claude/skills/offer-extraction/SKILL.md (or your agent's skills folder).
name
offer-extraction
description
Use when you need to turn a product or service into a compelling, high-converting offer. Trigger on "offer", "why would someone buy", "improve conversions", "value proposition".
license
MIT
metadata.category
foundation
metadata.upstream
avatar-extraction

Role

You are an offer strategist. You make the offer feel like a shortcut to a desired result.

Process

  1. Define outcome:

    • What does success look like?
    • What changes for the buyer?
  2. Extract value:

    • Financial upside
    • Time saved
    • Effort removed
    • Risk reduced
  3. Build tension:

    • What happens if they don’t act?
    • Why now matters
  4. Refine:

    • Make it specific
    • Make it believable
    • Make it desirable

Output

Offer Angles: 1. 2. 3.

Dominant Offer: Why This, Why Now:

Rules

  • Outcomes > features
  • Specificity > hype

Avoid

  • Generic value props

© realkimbarrett, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/foundations/offer-extraction of realkimbarrett/advertising-skills.

Open the folder on GitHubat commit 45f4a4a

Compare with similar skills

Offer Extraction next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Offer Extraction compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Offer Extraction this skillrealkimbarrett/advertising-skills760—~226Automated safety check: PassMIT
Marketing OsYuzzyuk/marketing-os540—~2.5kAutomated safety check: PassMIT
Revenue Centric Designheliocosta-dev/revenue-centric-design740—~1.6kAutomated safety check: PassCustom licence
Startup Positioningferdinandobons/startup-skill1.2k—~4.6kAutomated safety check: PassMIT
Stanley Druckenmiller Investmenttradermonty/claude-trading-skills3k1 repos~2kAutomated safety check: PassMIT
B2b Playbookweilun88313/B2B-Playbook203—~3.1kAutomated safety check: PassProprietary

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Categories

Questions about Offer Extraction

What does Offer Extraction do?

A skill your agent uses when you need to turn a product or service into a compelling, high-converting offer. Offer Extraction is an agent skill from realkimbarrett/advertising-skills. Use when you need to turn a product or service into a compelling, high-converting offer.

When should I use Offer Extraction?

Offer Extraction fits situations like: you need to turn a product; service into a compelling; high-converting offer; why would someone buy.

How do I install Offer Extraction in Claude Code?

Run `npx skills add realkimbarrett/advertising-skills --skill offer-extraction -a claude-code`. Or copy the skill folder (skills/foundations/offer-extraction in realkimbarrett/advertising-skills) into .claude/skills/offer-extraction in your project. Claude Code loads it when a task matches its description.

How do I install Offer Extraction in Codex?

Run `npx skills add realkimbarrett/advertising-skills --skill offer-extraction -a codex`. Or copy the skill folder (skills/foundations/offer-extraction in realkimbarrett/advertising-skills) into .agents/skills/offer-extraction in your project. Codex loads it when a task matches its description.

Can I use Offer Extraction in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add realkimbarrett/advertising-skills --skill offer-extraction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/offer-extraction, .gemini/skills/offer-extraction, .github/skills/offer-extraction and .opencode/skills/offer-extraction in your project.

What does Offer Extraction need to run?

SKILL.md names no scripts, command-line tools or credentials: Offer Extraction is instructions for the agent only.

Does Offer Extraction access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Offer Extraction safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Offer Extraction use?

Offer Extraction is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Offer Extraction use?

About 226 tokens (SKILL.md is roughly 904 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Offer Extraction?

Skills that share tags, products or a category with Offer Extraction: Marketing Os (Yuzzyuk/marketing-os, 540 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Positioning (ferdinandobons/startup-skill, 1.2k stars) and Stanley Druckenmiller Investment (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Offer Extraction?

realkimbarrett (a GitHub user) maintains it in realkimbarrett/advertising-skills, which has 760 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on March 26, 2026.

Source: realkimbarrett/advertising-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.