> For the complete documentation index, see [llms.txt](https://argos-ci.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://argos-ci.com/docs/agents/agent-skills.md).

# Agent skills

Argos publishes [agent skills](https://skills.sh) — reusable instruction packs your AI assistant loads to perform Argos tasks reliably, without you writing long prompts. They work with assistants that support skills, such as Claude Code, Codex, and Cursor.

## Available skills

| Skill             | What it teaches the agent                                                                                                                                                        |
| ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `argos-cli`       | The [Argos CLI](/docs/reference/argos-command-line-interface-cli.md): commands, flags, authentication rules, and output formats.                                                 |
| `argos-pr-review` | A complete pull-request visual review workflow: find the Argos build, inspect snapshots, summarize changes, and approve or request changes.                                      |
| `argos-upload`    | When and how to share a screenshot or a screen recording by link, how to embed it so a pull request actually renders it, and how to read back the comments a human pinned on it. |

## Installation

```bash
npx skills add https://argos-ci.com
```

This installs every skill Argos publishes. The skill content lives in the [argos-javascript](https://github.com/argos-ci/argos-javascript) repository.

## Usage

Reference a skill in your prompt to activate it:

```
Use $argos-pr-review to review this pull request with its Argos build.
https://github.com/acme/app/pull/123
```

For the full workflow — tokens to set, what the agent does, and how to phrase prompts when your assistant does not support skills — see [Review builds with AI agents](/docs/learn/review-workflow/review-builds-with-ai-agents.md).

The `argos-cli` skill also covers the flakiness commands, so an agent can investigate an unstable test and silence a change it can't fix — see [Fix flaky tests with AI agents](/docs/learn/reliability-and-flakiness/fix-flaky-tests-with-ai-agents.md).

{% hint style="info" %}
Skills drive the CLI, so they run wherever the agent has a terminal. If your assistant connects to remote services instead, use the [MCP server](/docs/agents/mcp-server.md).
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://argos-ci.com/docs/agents/agent-skills.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.