getcargohq/cargo-skills

cargo-segmentation

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`) — misspe…

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Installation

$ npx skills add getcargohq/cargo-skills --skill cargo-segmentation

Summary

  • 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 fails silently.
  • 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.

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Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
CompatibilityRequires @cargo-ai/cli (npm). Sign in or create an account with `cargo-ai login --email` (emailed code, no browser), `--oauth`, or an API token
Declared agents clawdbot
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author
getcargo
openclaw
{"requires":{"bins":["cargo-ai"]},"install":{"0":"kind: node","package":"@cargo-ai\/cli@latest","bins":["cargo-ai"]},"homepage":"https:\/\/github.com\/getcargohq\/cargo-skills"}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 12,034 B
  • docs SUMMARY.md 721 B

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  1. First seen on skills.sh
  2. First recorded snapshot · 2,613 installs

SKILL.md

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.

npm install -g @cargo-ai/cli            # no global install? prefix every command with `npx @cargo-ai/cli`
cargo-ai login --email [email protected]  # 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 with {"errorMessage": "..."}. 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.
Segment A filter saved with a name, a modelUuid, and a slug. Has a uuid, a live recordsCount, and a history. This is what plays, batches, and exports reference.
Change One computed delta of a segment between two syncs — how many records were added, updated, removed, unchanged. The basis of every "notify me when someone enters this audience" motion.
Tracking columns The subset of columns (--tracking-column-slugs) whose value changes count as an updated record. Without them a record only ever registers as added or removed.

Filter vs segment — pick deliberately. A one-off question ("how many companies have >100 employees?") wants segment fetch with an inline filter and no saved object. An audience you will run something against, schedule against, or track over time wants a real segment create — because only a saved segment produces changes.

Discover resources first

Always list before creating. A workspace usually already holds the segment you are about to duplicate.

cargo-ai segmentation segment list                    # all segments (uuid, name, slug, modelUuid, recordsCount)
cargo-ai storage model list                           # find the modelUuid a segment must target
cargo-ai storage column list --model-uuid <uuid>      # the column slugs your filter conditions reference

Segments created automatically by a play are named GENERATEDPLAYSEGMENT and carry fromPlay: truenever edit or remove those by hand; they belong to the play that owns them.

Retrieve in the UI: segments live under the model at app.getcargo.io/workspaces/<WORKSPACEUUID>/models/<MODELUUID>. Get <WORKSPACE_UUID> from cargo-ai whoami.

Quick reference

cargo-ai segmentation segment list
cargo-ai segmentation segment get <segment-uuid>
cargo-ai segmentation segment create --name "<name>" --model-uuid <uuid> --filter '<json>'
cargo-ai segmentation segment update --uuid <segment-uuid> --filter '<json>'
cargo-ai segmentation segment remove <segment-uuid>
cargo-ai segmentation segment fetch    --model-uuid <uuid> --filter '<json>' --limit 50
cargo-ai segmentation segment download --model-uuid <uuid> --filter '<json>'
cargo-ai segmentation change list  --segment-uuid <segment-uuid>
cargo-ai segmentation change fetch --uuid <change-uuid> --kinds added --limit 50
cargo-ai segmentation record fetch --model-uuid <uuid> --ids <id[,id…]>

Building a filter

The full condition catalogue — every kind (string, number, date, boolean, array, relation) and every operator — is in [../cargo-orchestration/references/filter-syntax.md](../cargo-orchestration/references/filter-syntax.md). The shape:

{
  "conjonction": "and",
  "groups": [
    {
      "conjonction": "and",
      "conditions": [
        { "kind": "number", "columnSlug": "employee_count", "operator": "greaterThan", "value": 100 },
        { "kind": "string", "columnSlug": "email", "operator": "isNotEmpty" }
      ]
    }
  ]
}

conjonction, not conjunction. The French spelling is intentional and it is the single most expensive typo in the CLI: a misspelled key does not error — the filter silently matches nothing, and you conclude the data is empty. Grep your JSON for conjunction before every call.

Match-everything filter: {"conjonction":"and","groups":[]}.

Size the audience before you build it

Counting is free; running anything over an audience is not. Establish the size first, then decide.

# 1. How many records match? — inline filter, no saved object, 1 row back
cargo-ai segmentation segment fetch \
  --model-uuid <uuid> \
  --filter '{"conjonction":"and","groups":[{"conjonction":"and","conditions":[
      {"kind":"number","columnSlug":"employee_count","operator":"greaterThan","value":100}]}]}' \
  --limit 1

# 2. Happy with the shape? Save it as the real audience.
cargo-ai segmentation segment create \
  --name "Mid-market accounts" \
  --model-uuid <uuid> \
  --filter '<same json>' \
  --column-slugs "name,domain,employee_count" \
  --tracking-column-slugs "employee_count,funding_stage"

segment get <uuid> then reports recordsCount — the authoritative size. Cite that number, not your own estimate, before proposing a paid run over the segment.

Fetch vs download vs record fetch

Command Returns Use for
segment fetch --model-uuid --filter Records inline as JSON, paginated (--fetching-limit, --fetching-offset) Inspecting a handful of rows, counting, previewing a filter before saving it
segment download --model-uuid --filter A signed URL to the full dataset Handing the whole audience to the user or another tool — see [../cargo-analytics/SKILL.md](../cargo-analytics/SKILL.md)
record fetch --model-uuid --ids <ids> Specific records by id Re-reading rows a change feed just told you about

segment fetch --sync refreshes the underlying data sources before evaluating; --enrich returns joined/derived values. Both cost time, so leave them off for a size check.

Never page a large segment into the conversation. Use --limit 3 to see the shape, then download for the rest.

Changes — the delta feed

Every time a segment syncs, Cargo computes a change: how the membership moved. This is what turns a static list into a signal.

# What deltas exist for this segment?
cargo-ai segmentation change list --segment-uuid <segment-uuid>
# → { "changes": [ { "uuid", "totalRecordsCount", "addedRecordsCount",
#                    "updatedRecordsCount", "removedRecordsCount",
#                    "unchangedRecordsCount", "createdAt" } ] }

# Which records actually entered the audience in that delta?
cargo-ai segmentation change fetch --uuid <change-uuid> --kinds added --limit 50

--kinds is required on change fetch and takes added, updated, removed, or unchanged (comma-separated). Returned rows carry the kind, id, title, and time meta-columns alongside the model's own columns.

updatedRecordsCount is always 0 unless the segment was created with --tracking-column-slugs — the tracked columns define what "updated" means. Set them at creation time when the segment is meant to feed a monitoring motion.

A segment's most recent delta is also inlined on segment list / segment get as lastChange, so a "what moved?" question rarely needs a second call.

What consumes a segment

Segments are an input, not an outcome. Once one exists:

  • Run something over it — batch a connector action or workflow across every member: [../cargo-orchestration/SKILL.md](../cargo-orchestration/SKILL.md). Batches enroll from a segment; sample 10–20 records and get explicit approval before enrolling the full audience.
  • Trigger a play on entry — a play whose trigger is a segment fires as records enter it. Play triggers use kind: "filter" and generate their own GENERATEDPLAYSEGMENT; see [../cargo-orchestration/references/examples/plays.md](../cargo-orchestration/references/examples/plays.md).
  • Export it — [../cargo-analytics/SKILL.md](../cargo-analytics/SKILL.md) (segment download needs --model-uuid, not --segment-uuid — a frequent 400).
  • Watch it — alert when the audience empties, stalls, or spikes: [../cargo-observability/SKILL.md](../cargo-observability/SKILL.md).
  • Act on it as GTM — signal segments (job change, funding, tech intent) drive the recipes in [../cargo-gtm/SKILL.md](../cargo-gtm/SKILL.md).
  • Declare it as codedefineSegment in [../cargo-cdk/SKILL.md](../cargo-cdk/SKILL.md) when the audience should live in git.

Gotchas

  • conjonction, never conjunction — silent empty result, no error.
  • segment download takes --model-uuid, not --segment-uuid. The filter travels with the request; the segment UUID is not a valid input there.
  • **change fetch needs --uuid (the change UUID) plus --kinds.** Passing the segment UUID returns a 400.
  • change list needs --segment-uuid. Calling it bare returns a 400 complaining that segmentUuid is undefined.
  • --help on change and record subcommands prints the parent help rather than the subcommand's flags (CLI ≥ 1.0.48). Use the Quick reference above; file a report if it still bites.
  • A segment belongs to exactly one model. Cross-model audiences are a relationship + filter on the joined column, not two segments.
  • fromPlay: true segments are owned by a play. Editing one changes what that play targets; removing one breaks it.
  • --limit on a segment caps membership, it is not a display page size — --fetching-limit is the page size.

When the CLI fails

Two failed attempts on the same command, or behavior that contradicts this skill, goes to the team:

cargo-ai workspaceManagement report create \
  --title "<one-line summary>" \
  --description "<commands run, errorMessage verbatim, expected vs actual, UUIDs>"