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offer-shaper

Convert a vague AI idea or buyer pain into a concrete paid offer with buyer, promise, deliverable, price, proof mechanism, and sales path.

Skill by az9713

IndexedMIT★ 1
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/az9713-offer-shaper

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Convert a vague AI idea or buyer pain into a concrete paid offer with buyer, promise, deliverable, price, proof mechanism, and sales path.

Use cases: sales

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/offer-shaper

What's inside

Skill name
offer-shaper
Description
Convert a vague AI idea or buyer pain into a concrete paid offer with buyer, promise, deliverable, price, proof mechanism, and sales path.
License
MIT
Instructions
48 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: missing

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Offer Shaper Skill

Input:

```text
$ARGUMENTS
```

## Mission

Turn a vague idea into a sellable offer.

## Required output

Return:

1. **Weak formulation** — what is vague or unsellable about the starting idea.
2. **Sharper offer** — one sentence.
3. **Offer name**.
4. **Target buyer**.
5. **Pain**.
6. **Promise** — measurable result, not tool description.
7. **Deliverable** — exactly what the buyer receives.
8. **Proof mechanism** — how the buyer can see it worked.
9. **Implementation boundary** — what is included and excluded.
10. **Pricing hypothesis**:
    - setup price
    - monthly price
    - paid pilot price
11. **Guarantee / risk reversal**.
12. **First 3 outreach channels**.
13. **One-page sales copy**.

## Constraints

- Prefer narrow vertical offers over generic horizontal AI tooling.
- Price against business value, not implementation time.
- Avoid “AI assistant” as a final offer unless the assistant is tied to a measurable workflow.

## Durable output

If working in a repo, create or update:

```text
docs/profit/offer.md
```

From az9713/idea-to-capital, MIT.

More from az9713/idea-to-capital

Signals

Stars
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Forks
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Last commit (this folder)
Jun 26, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from az9713

Cite this page

offer-shaper skill. Agent Mart. https://agentmart.dev/skills/az9713-offer-shaper (last updated 2026-10-24)