# cargo-segmentation

Create and inspect saved filters over Cargo models. Use the skill to choose an audience for a run, a play trigger, or an export.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 6000 installs · ★ 20
- Author: getcargo
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/getcargohq/cargo-skills/tree/HEAD/cargo-segmentation/SKILL.md
- Updated: 2026-10-26
- HTML: https://affpapa.org/en/nevibecode/skills/cargo-segmentation

## What it does

The skill helps you find a Cargo model and its columns, check which records match a filter, and create, inspect, or update a named segment. For a one-off count, you can use an inline filter without saving a segment. Save one when the audience will be reused for a run or its changes tracked over time.

You need the `@cargo-ai/cli` package and a Cargo login via `cargo-ai login`. Check existing segments and the target model before creating another. Filter JSON requires the key `conjonction` both at the top level and inside each group; `conjunction` causes a 400 error. Segments generated by a play should not be edited or removed by hand.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add getcargohq/cargo-skills --skill cargo-segmentation -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/cargo-segmentation/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/cargo-segmentation/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add getcargohq/cargo-skills --skill cargo-segmentation -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/cargo-segmentation/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add getcargohq/cargo-skills --skill cargo-segmentation -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/cargo-segmentation/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install getcargohq/cargo-skills cargo-segmentation
```

2. **Manually: put the files in place**
- File: `.github/skills/cargo-segmentation/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add getcargohq/cargo-skills --skill cargo-segmentation -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/getcargohq/cargo-skills --path cargo-segmentation
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/cargo-segmentation/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add getcargohq/cargo-skills --skill cargo-segmentation -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/getcargohq/cargo-skills/tree/HEAD/cargo-segmentation/SKILL.md

## When to use it
- filter model records by conditions
- count records matching a filter
- save a filter as a named segment
- inspect changes to a segment’s membership

## Example prompts
- Find Cargo contacts with a non-empty email address and save them as a segment named “Has email”.
- Count companies with more than 100 employees using an inline filter, without saving a segment.
- Show which records were added to the “Closed-Won” segment.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: ac3cd63d7e19ef60.

BEGIN THIRD-PARTY FILE ac3cd63d7e19ef60
````text
---
name: cargo-segmentation
description: "Define and use segments — named, saved filters over a Cargo model that become the audience for a batch run, a play trigger, or an export. Triggers: \"build a segment of\", \"filter my contacts where\", \"who matches this criteria\", \"save this as a list\", \"how many companies match\", \"the Closed-Won segment\", \"everyone who has not been emailed\", \"target only accounts that\", \"what is in this segment\", \"narrow this down to\". Filter JSON uses `conjonction` (not `conjunction`); misspelling it gets the call rejected with a 400. Skip when: running something over the segment — use cargo-orchestration; exporting its rows — use cargo-analytics; ad-hoc SQL over the model — use cargo-storage."
version: "1.2.1"
compatibility: Requires @cargo-ai/cli (npm). Sign in or create an account with `cargo-ai login --email` (emailed code, no browser), `--oauth`, or an API token
homepage: https://github.com/getcargohq/cargo-skills
metadata:
  author: getcargo
  openclaw:
    requires:
      bins:
        - cargo-ai
    install:
      - kind: node
        package: "@cargo-ai/cli@latest"
        bins:
          - cargo-ai
    homepage: https://github.com/getcargohq/cargo-skills
---

# Cargo CLI — Segmentation

Segments are the **audience layer** of a Cargo workspace: a named, saved filter over one model that answers "which records do I mean?" Everything downstream — a batch run, a play trigger, a CSV export, a change feed — takes a segment (or a segment-shaped filter) as its input.

> See `references/response-shapes.md` for full JSON response structures.
> See `references/troubleshooting.md` for common errors and how to fix them.
> Filter condition kinds and operators live in [`../cargo-orchestration/references/filter-syntax.md`](../cargo-orchestration/references/filter-syntax.md) — the single source of truth for filter JSON.

## Bootstrap

Already signed in (`cargo-ai whoami` returns a workspace)? Skip to the next section.

```bash
npm install -g @cargo-ai/cli            # no global install? prefix every command with `npx @cargo-ai/cli`
cargo-ai login --email you@company.com  # emailed code, no browser; creates the account on first use
                                        # alternatives: --oauth (browser) · --token <api-token> (CI)
cargo-ai whoami                         # confirm the active workspace before any write
```

Every command prints JSON to stdout; failures exit non-zero and print `{"error": "...", "status": ..., "body": ...}` to stderr. Anything that creates a run or a batch is async — pass `--wait-until-finished` or poll the matching `get`. When the full skill bundle is installed, [`../cargo/references/prerequisites.md`](../cargo/references/prerequisites.md) adds the CLI version pin, token scopes, and the admin-only surface.

## Key concepts

| Term | What it is |
|---|---|
| **Filter** | A JSON object (`{conjonction, groups[].conditions[]}`) evaluated against one model's columns. Ephemeral on its own. |
````
END THIRD-PARTY FILE ac3cd63d7e19ef60

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