Agent Skills Generator for Claude, ChatGPT, and Gemini
Describe a repeatable job and get configuration text shaped for Claude Skills, Custom GPTs, or Gemini Gems.
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Choose the agent format that matches where you work
Claude Skills, Custom GPTs, and Gemini Gems all store reusable instructions, but they do not use one portable standard. A Claude Agent Skill starts with a SKILL.md file. A Custom GPT uses separate builder fields for its public-facing identity and standing behavior. A Gemini Gem centers on one instruction set, with optional knowledge files and chat-level input. PromptMake gives each idea the native structure of the selected platform instead of wrapping generic prose in a new label. Start with the product where you expect to run the workflow, then choose the matching tab.
The format also changes how you maintain the assistant. Teams can version a Claude skill folder beside code and supporting references. A GPT owner edits instructions and conversation starters in the GPT builder. A Gem owner updates standing rules in Gemini and supplies current ticket details in each chat. PromptMake creates the draft text for these setups. It does not connect accounts, upload content, or create a marketplace listing. Review the result for internal policy, test it with real requests, and paste it into the platform yourself.
Turn a repeatable job into clear standing instructions
A useful agent configuration describes a job that will happen more than once. Good inputs name the user, source material, required steps, constraints, and expected deliverable. For example, replace "help with support" with "triage SaaS support tickets, ask for missing account details, cite the approved FAQ, and draft a reply with an escalation note." That detail gives the generator enough material to separate durable rules from request-specific facts. You can select a domain and detail level, then edit the generated configuration around your actual tools, permissions, and review process.
Keep each agent narrow enough to test. One assistant can review pull requests against a house checklist, turn interview notes into structured summaries, or draft product answers from an approved knowledge base. A single agent that writes, researches, deploys, approves, and reports will collect conflicting rules. Split unrelated jobs or define a clear routing step. After generation, run three cases: a normal request, a request with missing information, and a request outside scope. Those tests show whether the configuration asks useful questions, follows its format, and stops at the right boundary.
Compare SKILL.md, GPT builder fields, and Gem instructions
The SKILL.md format puts a lowercase hyphenated name and a trigger-rich description in YAML frontmatter. Markdown below it explains the workflow, output shape, and supporting resources. Custom GPT configuration separates the name and short description from instructions that govern each conversation. It also uses conversation starters to show users what to ask. Gemini Gem instructions work well when they state Persona, Task, Context, Format, and Fences, while uploaded knowledge holds reference material. PromptMake uses these distinctions so each output has fields you can identify and paste without rebuilding the structure by hand.
The three formats share one writing principle: standing rules belong in configuration, and today's request belongs in the chat. Put a style guide, escalation policy, or required response schema in persistent instructions. Put the current customer message, campaign brief, or code issue in the live request. Reference files can carry long source material when the platform supports them. This separation reduces stale details and keeps instructions readable. It also makes maintenance easier because you can change one policy rule without rewriting sample tickets or replacing every conversation starter.
Generate for free, then review before you install
PromptMake lets guests create 3 text generations per day. A free account raises the limit to 5 text generations per day, and Pro costs $9 for unlimited generations. One generation produces configuration text, not a running agent. Anthropic, OpenAI, and Google set their own account requirements, subscription rules, sharing options, and product limits. Check the destination product before planning a team rollout. PromptMake does not charge on behalf of those companies and cannot change which agent-building features your account can access.
Treat the generated result as a strong first draft. Confirm names, tool references, paths, output fields, and policy language. Remove invented capabilities and add approval gates before any consequential action. If the configuration relies on knowledge files, verify that every named file exists and that the model can access it in the intended environment. Test with representative inputs before sharing the agent. PromptMake shortens the configuration-writing step; you remain responsible for installation, permissions, data handling, evaluation, and updates after the destination platform changes.
FAQ
What does the Agent Skills Generator create?
PromptMake turns a short workflow description into paste-ready configuration text for one of three formats. Choose Claude to create a SKILL.md draft, ChatGPT to create Custom GPT builder fields, or Gemini to create Gem instructions. The output includes the sections each format needs, so you spend less time translating one idea into three different configuration systems.
What is the difference between a Claude Skill, Custom GPT, and Gemini Gem?
A Claude Agent Skill uses a SKILL.md file with YAML frontmatter and Markdown instructions. A Custom GPT uses fields in ChatGPT's GPT builder, including a name, description, instructions, and conversation starters. A Gemini Gem uses standing instructions built around a role, task, context, response format, and safety or quality fences. Each format stores reusable behavior, but the field names and activation model differ.
Does PromptMake upload the skill or publish an agent?
No. PromptMake generates configuration text only. It does not sign in to Claude, ChatGPT, or Gemini, upload files, create an agent in your account, submit anything to a store, or publish a marketplace listing. You review the generated text, copy it, and complete the setup on the platform you chose.
Can I convert the same workflow for all three platforms?
Yes. Describe the standing job once, generate one format, then switch tabs and generate the others. Review each result instead of pasting the same instructions everywhere. Claude needs a strong trigger description, Custom GPTs need builder-specific fields, and Gemini Gems benefit from explicit Persona, Task, Context, Format, and Fences sections.
Is the Agent Skills Generator free?
Guests can make 3 text generations per day without an account. A free account gets 5 text generations per day. PromptMake Pro costs $9 and includes unlimited generations. These limits apply to PromptMake's text generation service; platform access, paid plans, and feature availability at Anthropic, OpenAI, or Google remain separate.
Which format should I choose for a coding workflow?
Choose a Claude Agent Skill when you want a file-based workflow for Claude Code, especially if the job needs scripts, references, examples, or repository instructions. Choose a Custom GPT or Gemini Gem when teammates need a chat-based assistant inside those products. Your deployment environment matters more than the topic because all three formats can describe coding, writing, support, research, or operations work.
Can I include company documents or knowledge files?
The generator can suggest which references may help, but it does not receive or upload those files through this landing workflow. Put durable behavior in the generated instructions. Add approved handbooks, style guides, FAQs, templates, or rubrics through the destination platform's own knowledge or file controls. Remove secrets, personal data, credentials, and material you do not have permission to share.
Will the generated agent always follow its instructions?
No configuration can guarantee identical behavior on every request. Model updates, conflicting user input, missing context, enabled tools, and platform limits can change results. Test common requests, missing-information cases, and unsafe or out-of-scope requests. Tighten the relevant rule or add a short example when a test exposes a repeatable failure.
Is this an agent skills marketplace?
No. PromptMake has no marketplace for browsing, buying, installing, or publishing skills. It is a writing tool for generating configuration drafts. You own the review and setup process, and you decide where the finished configuration lives. Use your destination platform's sharing controls if you want coworkers or customers to access the result.