Agent First public-data Skills: from tasks to MCP

Agent First public-data Skills: from tasks to MCP
Unif Skills team
Unif Skills team

How UnifAPI turns public-data APIs into task-specific Skills for Codex, Claude Code, and MCP-capable agents — with APIs as the data layer, not the front door.

The first version of UnifAPI looked like a developer product: catalog, endpoints, API keys, docs. That is still useful, but it is not how many agent users start. They do not wake up wanting a Twitter endpoint. They want a KOL pricing brief, a creator shortlist, a competitor launch summary, or a social-listening report.

So the marketing surface is moving to Agent First Skills. A Skill is a task-specific workflow an agent can run through UnifAPI MCP. The API catalog remains the public-data layer under the workflow; it just stops being the first thing we ask a marketer to understand.

What a Skill contains

A Skill page starts with the result: price a campaign, build a shortlist, monitor a market, explain a competitor. It includes a run prompt for Codex or Claude Code, the live public-data APIs the agent can call, the expected output shape, and the follow-up questions that make the workflow valuable.

A Skill is not a mini SaaS app and it is not a static template. It is a conversational workflow: the agent can ask for missing inputs, run extra searches, explain confidence, and extend the analysis without a new GUI.

The first public benchmark is KOL Pricing. The agent can analyze public Twitter/X creators, compare recent engagement and audience fit, and return a price range with confidence and evidence. You can ask follow-ups instead of clicking through a fixed GUI.

Why MCP changes onboarding

With MCP, a user can start by browsing a Skill and pasting a prompt into the agent they already use. Registration does not have to happen before interest. OAuth opens when the agent needs to call UnifAPI tools or spend workspace credits. That is a better fit for Codex, Claude Code, Cursor, and similar products.

This also means the user does not need to configure a separate LLM API key just to run the workflow. Their agent plan handles model execution. UnifAPI provides the public-data tools and bills returned records at $0.001 per record.

Why APIs still matter

Skills need trustworthy data. The live API catalog is still visible, searchable, and documented because developers will still turn working workflows into product code. What changes is the order: Skills first, APIs second. The catalog only shows shipped APIs so an agent does not try to call roadmap entries.

The SEO and GEO shape

For search, Skills give us pages that match task language: KOL pricing agent, creator research agent, public data Skills for agents, MCP Skills for marketing research. For AI search and agent retrieval, each Skill also needs a markdown alternate and llms.txt entry so models can read the workflow without scraping the rendered page.

The point is not to trick search engines or AI answers. It is to make the page match the real job the user is trying to do, then expose the same facts in HTML, markdown, structured data, and agent-readable discovery files.