You already built great GPTs. Now rebuild them as Claude Skills that trigger automatically, load references on demand, and run scripts your GPTs never could.
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What your Custom GPT is actually made of, with real screenshots.
3 SectionsCopy your instructions and download your knowledge files.
2 SectionsFrontmatter, SKILL.md translation, knowledge migration, and the shortcut prompt.
4 SectionsGet the skill running, fix the triggers, avoid common mistakes.
3 SectionsOne copy-paste prompt. Claude reads your GPT instructions and builds the entire skill for you.
Copy + PasteScripts, assets, and capabilities that were never possible in a Custom GPT.
New PowersThe full prompt is inside the guide. Enter your email above to get it.
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Your GPTs already work. Your Claude Skills will work harder. Here is how to migrate them.
This guide is the sequel to The $300K Custom GPT Framework, which walks you through the exact 5-module system that replaced a $300,000/year agency contract. If you have not read it yet, start there. Then come back here to migrate your GPT to Claude.
Every Custom GPT is built from three pieces. Understanding what each one does is the first step to migrating it.
Your GPT's system prompt is a single text block that contains everything: context about who it serves, the role it plays, core responsibilities, approach and methodology, guidelines and rules, use cases, quality standards, and additional notes.
All of that lives in one undifferentiated block of text. There are no sections, no headers, no structure. The GPT reads the entire thing every time, whether it needs all of it or not.
If you have been using a Custom GPT for months, you already have a working system. The instructions you wrote are the most valuable part. Everything else is packaging.
A Claude Skill is a folder on your computer. Inside that folder, every skill has one required file and two optional folders.
Your GPT dumps every knowledge file into context whether it needs them or not. A Claude Skill only loads reference files when the instructions point to them. Less noise, better outputs.
One text block with all your instructions, rules, and use cases mixed together
Structured markdown with clear sections, headers, and organized instructions
A summary of what your GPT does, shown in the GPT store listing
The trigger mechanism. Tells Claude exactly when to activate this skill automatically
Uploaded documents, all loaded into context every conversation
Same documents, but loaded on demand only when the instructions call for them
Preset buttons you had to click to trigger common actions
Replaced by automatic triggering. Just describe the task in natural language
Remember your conversation starters? Those preset buttons you clicked to trigger your GPT? With Claude Skills, you just say what you need. Your natural language triggers the skill automatically. You do not need to be inside a specific GPT or a Claude project for it to work.
Do this for every GPT you want to migrate. Each GPT becomes its own Claude Skill.
The files your instructions actually reference are the ones that matter most. Those become your references/ folder. Files that are just uploaded but never mentioned can often be skipped.
Frontmatter is the YAML header at the top of your SKILL.md file. It has two fields: name and description.
The description is the trigger mechanism. It tells Claude WHEN to activate this skill. Your GPT had nothing like this. You had to navigate to a specific GPT, open it, and manually start a conversation. With a Claude Skill, the description field makes activation automatic.
The description is the most important part of your skill. Write it as if you are telling a colleague exactly when they should use this tool. Be specific about the triggers. The more trigger phrases you include, the more reliably the skill activates.
This is the core translation. Your GPT's mixed system prompt becomes organized markdown in SKILL.md. Here is how each part maps across.
Condense your GPT's context and role sections into 1 to 2 sentences defining who the skill is and what it does.
Same content as your GPT, but now under a clear header. Each responsibility gets its own bullet point.
Your GPT mixed process and rules together. Split them: workflow (numbered steps) and guidelines (bullet rules).
Each use case now points to a specific reference file, so Claude loads only what it needs for that task.
Becomes a checklist at the bottom of your skill. Claude verifies each item before delivering output.
Same content, placed at the end. Edge cases, exceptions, and anything that does not fit elsewhere.
In a GPT, all knowledge files are dumped into context. In a skill, you put files in references/ and your SKILL.md tells Claude exactly when to read each one.
Your GPT loaded every knowledge file into every conversation, whether it needed them or not. Claude Skills use progressive disclosure. The SKILL.md is always loaded (about 500 lines). Reference files are only loaded when the instructions point to them.
This means Claude uses less of its context window on background material and has more room for your actual conversation.
Now that you understand the anatomy, you do not have to do the translation manually. Paste your GPT instructions into Claude and ask it to build the skill.
This is the fastest path. Claude reads your GPT instructions, understands the structure, and builds the skill for you. You review it, refine the triggers, and you are done.
The most common issue is an under-triggered skill. If your description says "Use this skill to write patient communications," try expanding it to "Use this skill whenever asked to write patient education materials, appointment reminders, treatment plan summaries, post-visit summaries, medication information sheets, or any patient-facing healthcare communication." More triggers equals more reliable activation.
Writing "helps with writing" instead of listing specific use cases and trigger phrases
Pasting your entire GPT prompt without restructuring. Keep SKILL.md under 500 lines. Move reference material to references/
Putting files in references/ but never telling Claude when to read them. Add explicit pointers in your workflow section
Assuming it works because it looks right. Always test with a real prompt that does not mention the skill name
Your GPT was limited to instructions and uploaded files. Claude Skills can also include scripts/ (executable code for deterministic tasks like calculations, data formatting, or file generation) and assets/ (templates, icons, fonts that get used in the output). These are optional, but they unlock capabilities that were never possible in a Custom GPT.
You do not need scripts or assets to migrate your existing GPTs. But once your first skill is running, consider what repetitive steps could become a script.
In the Claude Cowork workshop, you build custom skills live for your actual workflow. Hands on, real work, no theory slides.
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