Selling Custom GPTs and Claude Skills as a Freelancer in 2026
The GPT Store has `500,000+` custom GPTs. Anthropic Agent Skills hit `20,000` GitHub stars in weeks. The two marketplaces are bigger, the monetisation models are clearer, and the freelance angle is still wide open.
The Delivvo team· May 30, 2026 8 min read
OpenAI's GPT Store hosts more than 500,000 custom GPTs as of 2026 (Originality.AI, 2026). The store traffic peaked at 17.8M visits a day in early May 2024 (Originality.AI, 2026). ChatGPT's parent business is generating roughly $2B/month in revenue, with the product itself bringing in $8B in 2025, up 128% year on year (Business of Apps, 2026).
On the other side of the market, Anthropic launched Agent Skills on October 16, 2025 (VentureBeat, 2025). Two months later, on December 18, 2025, the company open-sourced the spec, and the GitHub repo crossed stars within weeks (). Launch partners that shipped prebuilt Skills include Canva, Notion, Figma, and Atlassian ().
Two large agent marketplaces, two different monetisation models, and the same underlying freelance opportunity. The first wave of "build a GPT in five minutes" content is over. The 2026 opportunity is the second wave: private skill deployment, custom agent design, evaluation suites, and operations.
The two marketplaces are not the same product
A custom GPT is a chat assistant inside ChatGPT with custom instructions, knowledge files, and optional Actions (HTTP calls). It lives inside OpenAI's runtime. The user starts a chat, your GPT shows up, and from there it behaves like ChatGPT with your prompt and tools.
An Agent Skill is a discoverable package of instructions, data, and tools that a Claude agent loads on demand at runtime. Anthropic designed Skills to be language-agnostic and portable, which is why the spec went open-source and why launch partners shipped them as folders of markdown and JSON rather than as a chat UI. A Skill is closer to a library a model imports than a chatbot a user opens.
The freelance opportunities follow the shape of each.
What sells for custom GPTs in 2026
The GPT Store is now mature enough that "list a free GPT and hope it ranks" is not a strategy. The freelance money has moved into four lanes.
Private internal GPTs for ChatGPT Teams and Enterprise
The fastest-growing buyer is the operations or RevOps lead at a company on a ChatGPT Business or Enterprise contract. They want a private GPT that knows the company's playbooks, files, and tone, integrates with their CRM through Actions, and is locked down to the workspace. The freelance work: scoping, instructions design, knowledge curation, Actions schema, and evaluation. Typical project fee: $3,500 to $12,000 per GPT, plus retainer.
Vertical workflow GPTs sold to a specific industry
Examples: a GPT that drafts SaaS contracts for series-A startups, a GPT that runs an Amazon listing audit, a GPT that helps independent insurance brokers prepare quotes. These are built once, listed in the store as a free or paid GPT, and sold through a paid product or community on the side. The store is the funnel, not the product.
Done-with-you GPT training
A four-week engagement that pairs the freelancer with a client's internal team to teach them how to build GPTs in-house. Higher ticket size, lower delivery time. Common pricing: $6,000 to $15,000 for a small team.
Maintenance retainers
A monthly retainer to keep a portfolio of GPTs current, add Actions, refresh knowledge, and run evaluation. Pays $1,500 to $4,000/month per client. The retainer is the steady income that funds the spikier project work.
What sells for Claude Agent Skills in 2026
Skills are newer, the buyer is more technical, and the monetisation is closer to platform engineering than chatbot design. Three lanes are working.
First-party Skills for SaaS vendors
A SaaS company wants to ship an official Skill so that customers using Claude can plug it into their workflows. This is product engineering: schema design, auth, telemetry, packaging, registry submission, and docs. Buyer is a Head of Engineering or Director of Product. Typical project: $15,000 to $50,000. The work overlaps with MCP server engagements, because most vendors ship both an MCP server and a Skill against the same internal API.
Internal Skill packs for ops and legal teams
Skills that codify a company's playbooks for things like proposal drafting, contract review, customer outreach, or quarterly reporting. The buyer is usually a Chief of Staff or a CTO. Typical project: $5,000 to $20,000 for a starter pack of three to six Skills, plus a retainer.
Skill evaluation suites
A separate, higher-priced engagement to build an evaluation suite around a client's Skills, so they can measure quality regressions when models update. This is the engagement that almost always follows the first Skills build by three to six months, once the client has felt their first quality regression. Typical price: $8,000 to $25,000.
Pricing the work without underselling
Three pricing mistakes the first cohort of GPT and Skills freelancers made, and how the 2026 cohort is fixing them.
The first is treating a custom GPT as a one-hour task. A real internal GPT takes a discovery sprint, a small knowledge-base curation pass, a tool design pass, and an evaluation run. Quoting $300 for the chat configuration only is leaving the rest of the engagement on the table.
The second is per-token pricing. Some early freelancers tried to bill clients on model usage. Clients hated it, internal procurement teams hated it, and the freelancer carried the price risk on every model update. Fixed-fee scoping with the usage cost passed through directly works better.
The third is bundling support. Saying "I will fix any issues for the next six months" sounds generous and ends up being unbounded work. The cleaner model is a 30-day warranty, then an optional monthly retainer with a stated scope.
The toolchain freelancers are actually using in 2026
For GPTs:
OpenAI's GPT Builder for the configuration UI.
A separate evaluation suite (often built with the OpenAI Evals library or a homegrown notebook) for regression testing.
A knowledge base prep pipeline that chunks and tags client documents before upload.
Postman or a similar tool for Actions schema validation.
For Skills:
Anthropic's open-source Skills CLI for packaging and validation.
A simple repo template that includes the Skill folder, a tools schema, and a sample evaluation prompt set.
Claude Code or Cursor for the build loop itself.
A CI pipeline (often GitHub Actions) that runs evaluation prompts on every Skill update.
Neither stack is exotic. The differentiation is the freelancer's judgement on what the Skill or GPT should do, not the tools used to build it.
Where the freelance market is heading in the next 12 months
Three predictions worth planning around.
GPT Store ranking will matter less, Actions and integrations will matter more. The store has become noisy. The valuable GPTs are the ones with deep integrations into a single buyer's stack. Generic listings will fade.
Skills will eat the lower end of the consulting market. Open-source, portable, and runnable on any agent. The same Skill written for Claude will run on most major agent runtimes by late 2026. That shifts the freelance pitch from "build me a Claude agent" to "build me a vendor-neutral skill pack."
Evaluation and operations become the highest-margin work. Every client that ships a GPT or Skill eventually feels a quality regression after a model update. The freelancer who built the evaluation suite, not the original chatbot, gets the retainer.
Run the work the way you would run any client engagement
There is a tendency to treat AI work as creative-loose rather than engineering-tight. Resist it. Use a real contract, a scoped statement of work, a signed change-order process, and clear acceptance criteria for each Skill or GPT. If you bill through a client workspace tool like Delivvo, put the discovery output, the build deliverable, and the evaluation report into the portal as separate signed-off milestones. The clients buying this work are almost always early adopters who later need to show governance evidence to an internal stakeholder. The audit trail is the deliverable they will not realise they need until month four.
FAQ
Can I make money from the GPT Store directly in 2026?
The original revenue-share program for GPT creators has been quiet since 2024 and OpenAI has not detailed a successor for general creators in 2026. The realistic answer: treat the store as distribution, sell the value off-platform through paid products, communities, services, or affiliate work. The freelancers earning the most from GPTs in 2026 are billing clients privately, not earning per-message store revenue.
What is the difference between a GPT, a Skill, and an MCP server?
A GPT is a chatbot inside ChatGPT. A Skill is a packaged set of instructions and tools a Claude agent loads on demand. An MCP server is a standardised way to expose tools and data to any AI client that speaks MCP. Skills often use MCP servers under the hood. GPTs use Actions, which are similar in spirit but proprietary to OpenAI.
Do I need to be a developer to sell custom GPTs?
No, but the rate ceiling is much lower without development skills. A non-developer can build and sell GPTs configured against existing knowledge bases. A developer can sell those plus deeper Actions integrations, evaluation suites, and Skills, which are where the higher-priced work lives.
How long does a typical custom GPT project take?
A private internal GPT with knowledge curation, two or three Actions, and an evaluation pass takes a focused freelancer two to four weeks. Skills engagements are similar in duration but skew longer because the deployment and packaging story is more involved.
Will custom GPTs and Skills still matter in two years?
The packaging will evolve. The underlying work, designing how a model should behave in a specific business context, will not. Skills are the more durable bet because the spec is open and vendor-neutral. GPTs are the more distribution-rich bet today because of the existing store reach. The skill of building either translates to the next packaging format.
The 2026 takeaway
The GPT Store and Claude Skills are not "list a free thing and earn passive income." They are two distribution channels for a paid services business. The freelancers earning real money in 2026 sell private deployments, vertical workflow packages, training engagements, and evaluation retainers. The market is wide because most companies want this work and very few have anyone in-house who has done it before. Pick one marketplace, build three real engagements, and the rate ceiling rises faster than almost any other freelance lane right now.
