claude-skills-reference/custom-gpt

Custom GPTs

Deploy claude-skills as Custom GPTs on the OpenAI GPT Store.

Available GPTs

GPT	Tier	Category	Source Skill
Solo Founder	🟢 Free	Productivity	agents/personas/solo-founder.md
Conversion Copywriter	🟢 Free	Writing / Marketing	marketing-skill/copywriting/SKILL.md
SEO Audit Expert	🟢 Free	Marketing	marketing-skill/seo-audit/SKILL.md
Content Strategist	🟢 Free	Writing / Marketing	marketing-skill/content-strategy/SKILL.md
CTO Advisor	🔒 Paid	Programming	c-level-advisor/cto-advisor/SKILL.md
Product Manager Toolkit	🔒 Paid	Productivity	product-team/product-manager-toolkit/SKILL.md

How to Create a Custom GPT

Step 1 — Open the GPT Editor

Go to chat.openai.com/gpts/editor and click "Create a GPT".

Step 2 — Switch to Configure Tab

Click the "Configure" tab at the top (not "Create" — that's the conversational builder).

Step 3 — Fill in the Fields

From the GPT config file (e.g., solo-founder-gpt.md), copy:

Field	What to paste
Name	The ## Name value
Description	The ## Description text
Instructions	Everything inside the ``` code block under ## Instructions
Conversation Starters	The 4 items listed under ## Conversation Starters

Step 4 — Set Capabilities

Check the boxes as listed in the config file's ## Capabilities section:

• ✅ Web Browsing — most GPTs need this
• ✅ Code Interpreter — for technical GPTs (Solo Founder, CTO Advisor)
• ⬜ DALL-E — not needed for these GPTs
• ⬜ File Upload — not needed

Step 5 — Profile Picture

Use the prompt from ## Profile Picture Prompt with DALL-E to generate an icon, or upload your own.

Step 6 — Save and Publish

Click "Save" and choose visibility:

Visibility	When to use
Everyone	Free GPTs — maximizes reach in the GPT Store
Anyone with a link	Paid/premium GPTs — share link selectively
Only me	Testing before publishing

Converting Other Skills to Custom GPTs

Any skill in this repo can become a Custom GPT. Here's how:

1. Pick a Skill

Choose a SKILL.md or persona from agents/personas/. Best candidates:

• Self-contained (no Python tool dependencies)
• Broad audience appeal
• Clear, structured workflows

2. Create the Config File

# [Skill Name] GPT — Configuration

**Tier:** FREE / PAID
**GPT Store Category:** [Pick from: Productivity, Writing, Programming, Research, Education, Lifestyle]

## Name
[Short, memorable name — 2-3 words max]

## Description
[1-2 sentences. What it does + who it's for. Include "Built on the open-source claude-skills library" for attribution.]

## Instructions
[Paste the SKILL.md content, adapted:]
- Remove file paths and bash commands (GPTs can't run local tools)
- Remove references to other skills (GPTs are standalone)
- Keep all frameworks, workflows, and decision logic
- Add attribution link at the bottom

## Conversation Starters
1. [Most common use case]
2. [Second most common]
3. [A specific scenario]
4. [An advanced use case]

## Capabilities
- [x] Web Browsing
- [ ] DALL-E Image Generation
- [x] Code Interpreter (if technical)
- [ ] File Upload

3. Adapt the Instructions

Remove:

• python scripts/... commands (no local execution)
• Read file X references (no filesystem)
• Cross-skill references like "see the copy-editing skill"
• Claude Code-specific features

Keep:

• All frameworks and mental models
• Decision trees and workflows
• Communication style rules
• Output format specifications

Add:

• Attribution: This GPT is powered by the open-source claude-skills library: https://github.com/alirezarezvani/claude-skills

4. Test Before Publishing

1. Create the GPT with visibility set to "Only me"
2. Run each conversation starter and verify quality
3. Try edge cases — vague inputs, complex scenarios
4. Check that the GPT asks clarifying questions when context is missing
5. Once satisfied, change visibility to "Everyone" or share the link

Design Principles

• No knowledge files — instructions are self-contained for portability and faster responses
• No custom actions — keeps GPTs simple and maintainable
• Attribution included — every GPT links back to the repo
• Web browsing enabled — allows research of current data
• Standalone — each GPT works independently without other skills

Tips for GPT Store Optimization

1. Name — use searchable terms (e.g., "CTO Advisor" not "TechLeadGPT")
2. Description — front-load the value prop, include key use cases
3. Conversation starters — show the range of what the GPT can do
4. Category — pick the most relevant GPT Store category
5. Test with real users — share the link and collect feedback before going public