getcargohq/cargo-skills

cargo-content

Manage the knowledge a Cargo workspace holds — upload files (PDF, CSV, text), rename and organize them, and build native or connector-backed libraries that sync from an external source, so agents can retrieve them (RAG).

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Cargo CLI — Content

Workspace knowledge management: upload and organize files (PDFs, CSVs, text) and group or sync them into libraries. These are the binary/grouped knowledge resources that ground agent responses (retrieval-augmented generation, RAG).

New top-level domain (CLI ≥ 1.0.19). Files and libraries moved out of the ai domain into the content domain — cargo-ai content file … and cargo-ai content library …. The old cargo-ai ai file … commands no longer exist; an unknown command error means you're on the old path.
For attaching a file or library to an agent (via the release resources array), use `cargo-ai`. For folders that organize files, use `cargo-workspace-management` (cargo-ai workspaceManagement folder …). For batch-run input files (CSVs uploaded to drive a batch), that's a different surface — cargo-ai workspaceManagement file upload — documented in `cargo-workspace-management`.
See references/examples/files.md for end-to-end file, library, and attach-to-agent examples. See references/response-shapes.md for full JSON response structures. See references/troubleshooting.md for common errors and how to fix them.

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 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` adds the CLI version pin, token scopes, and the admin-only surface.

Discover resources first

bash
cargo-ai content file list                 # all uploaded files (uuid, name, contentType, size)
cargo-ai content library list              # knowledge libraries (native or connector-backed)

Files

Upload files (PDFs, CSVs, text) so an agent can ground its responses in specific knowledge. The upload response includes the uuid you reference when attaching the file to an agent release (see `cargo-ai`).

bash
# List all files
cargo-ai content file list

# Get a single file
cargo-ai content file get <file-uuid>

# Upload a file (optionally straight into a folder)
cargo-ai content file upload --file ./knowledge-base.pdf
cargo-ai content file upload --file ./knowledge-base.pdf --folder-uuid <folder-uuid>

# Update a file's name or folder
cargo-ai content file update --uuid <file-uuid> --name "Q1 Research Notes"
cargo-ai content file update --uuid <file-uuid> --folder-uuid <folder-uuid>

# Remove a file
cargo-ai content file remove <file-uuid>
Reading content files from the context sandbox. Uploaded content files are also available read-only under .files/ in the context runtime sandbox, so a command run there can consume them — e.g. cargo-ai context runtime execute --command ls --args '["-1",".files"]'. The directory sits outside the committed context tree (never pushed, not writable); to add or change files use content file here. See `cargo-context`.

Libraries

A library groups files into one resource an agent can reference. There are two kinds:

  • `native` — workspace-managed collections of uploaded files.
  • `connector` — synced from an external source (e.g. a help center or knowledge base) through an unstructured-data extractor (--extractor-slug). Get the connectorUuid from `cargo-connection`.
bash
# List libraries (filter by kind or connector)
cargo-ai content library list
cargo-ai content library list --kind native
cargo-ai content library list --kind connector --connector-uuid <connector-uuid>

# Get a single library
cargo-ai content library get <library-uuid>

# Create a connector-backed library
cargo-ai content library create \
  --name "Help Center" \
  --connector-uuid <connector-uuid> \
  --extractor-slug <extractor-slug> \
  --folder-uuid <folder-uuid> \
  --config '{}'

# Update / remove
cargo-ai content library update --uuid <library-uuid> --name "Updated Name"
cargo-ai content library remove <library-uuid>

Attaching to an agent

Files and libraries are knowledge resources — they do nothing until attached to an agent via that agent's draft release resources array, then deployed. That wiring lives in `cargo-ai` (ai release update-draft --resources …ai release deploy-draft). See references/examples/files.md for the upload → attach → deploy sequence.

Help

Every command supports --help:

bash
cargo-ai content file upload --help
cargo-ai content library create --help
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Router for the Cargo CLI skill bundle — load first for anything Cargo, and whenever a task spans two Cargo domains. Explains what each skill owns, declarative workspace-as-code (cargo-cdk) vs the imperative CLI, the UUID and slug flow between skills, async polling of runs and batches, end-to-end use cases, and the gotchas that fail silently (conjonction spelling, run vs batch, model-uuid vs segment-uuid). Triggers: \"set up Cargo\", \"what can Cargo do\", \"which Cargo skill\", \"bootstrap my workspace\", \"I have a Cargo account\", \"cargo-ai …\", or any cargo-ai command whose domain you are unsure of. Skip when: the task obviously belongs to one skill — load that skill directly.

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cargo-ai

Build and configure AI agents inside Cargo — create an agent, choose its model and temperature, write its prompt, attach knowledge for retrieval (RAG), connect MCP tool servers, manage memories, and deploy releases. Triggers: \"create an agent\", \"make an agent that\", \"give the agent our docs\", \"attach this knowledge base\", \"attach this library to the agent\", \"add resources to the agent release\", \"connect an MCP server\", \"expose our tools as an MCP server\", \"use Cargo from Claude Desktop or ChatGPT\", \"change the agent model\", \"what does the agent remember\", \"deploy the agent\", \"the agent is answering wrong\". Skip when: uploading the knowledge files themselves — use cargo-content; sending the agent a message or running it over records — use cargo-orchestration.

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Get data out of Cargo and measure what ran — download a run output, export a segment or model to CSV or JSON, and pull run and batch success and error counts. Triggers: \"download the results\", \"export this to CSV\", \"give me the file\", \"how many succeeded\", \"what is my error rate\", \"send me the enriched list\", \"get the output of that run\", \"how many records did it write\". Skip when: asking why something failed or where credits went — use cargo-diagnostics; asking about credits, plans, or invoices — use cargo-billing.

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cargo-billing

Understand what Cargo is costing — remaining credits, usage broken down by workflow, connector, or agent, subscription state, and invoice history. Triggers: \"how many credits do I have left\", \"what did that cost\", \"why is my bill so high\", \"am I about to run out\", \"will this fit in our budget\", \"show me my invoices\", \"how much have I spent this month\", \"what plan am I on\", \"what do I get for free\", \"how many free credits\", \"can I afford this run\", \"add a card\", \"update my payment method\", \"why was my card declined\". Needs a token with admin access. Skip when: attributing spend to specific nodes or cutting a play cost — use cargo-diagnostics.

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3
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17
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5 wrz