> ## Documentation Index
> Fetch the complete documentation index at: https://glasser.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Set up with Skill

> One line into your agent's chat: it installs the CLI, logs in through the browser, and learns the rules by itself.

Give your agent — Claude Code, Cursor, Codex, or anything else with a shell — the ability to
search, inspect and run paid API endpoints under one Key.

<Steps>
  <Step title="Install the Skill">
    Paste this line into your agent's chat:

    ```text theme={null}
    set up https://glasser.ai/SKILL.md
    ```

    The agent reads the Skill, installs the `glasser` CLI, and learns when to use it, how to
    read a price before spending, and how to retry without paying twice.
  </Step>

  <Step title="Approve the login">
    The agent runs `glasser login` and shows you a URL and an 8-character code. Open the URL,
    check that the code on the page matches the one in the terminal, and click **Approve**.

    A Key scoped to your Workspace lands on the machine. You never copy or paste it, and the
    agent reads the Workspace name back to you as confirmation. New here? The login page
    creates your account and Workspace on the way.
  </Step>

  <Step title="Try a prompt">
    The agent now searches the data sources, inspects the price, runs the endpoint, and reports the
    result and the charge. Try one of these:

    <AccordionGroup>
      <Accordion title="Enrich a person">
        Using Glasser, enrich a person. Ask me for their name and current company if you don't
        know them, then pull their work history, education and public profiles, and tell me what
        the call cost.
      </Accordion>

      <Accordion title="Competitor research">
        Do a competitor research report using Glasser. Ask me which company to research, then
        pull its firmographics, recent news and web presence, and compare it with two competitors.
      </Accordion>

      <Accordion title="Who is hiring">
        Using Glasser, find companies hiring for a role. Ask me for the role and location, then
        list open postings with company, title and posting date.
      </Accordion>

      <Accordion title="Keyword research">
        Using Glasser, research keywords for a niche. Ask me for the topic and the market, then
        return search volume and related keyword ideas, ranked.
      </Accordion>
    </AccordionGroup>
  </Step>
</Steps>

## What the Skill promises

The Skill is the agent's working agreement, not just an installer. It tells the agent to
inspect before it runs, to name the per-call price before any bulk or looped work, to start
with small volume parameters, to retry an ambiguous failure with the same idempotency key so
you are never charged twice, and to report both the run status and what the provider said.
Read it yourself at [glasser.ai/SKILL.md](https://glasser.ai/SKILL.md).

## No shell?

If your agent cannot run commands — a web chat, a hosted runtime — connect the
[MCP server](/docs/mcp-server) instead. Same data sources, same Key, same rules.