cargo-content

name: cargo-content description: "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). Triggers: "upload this PDF", "add these docs as knowledge", "build a knowledge base", "sync our help center into Cargo", "what files are in the workspace", "index this folder", "attach our pricing sheet". Skip when: wiring the file or library into an agent — use cargo-ai; uploading a CSV that drives a batch run — that is a workspace-management file upload." version: "1.0.1" 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 — 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.

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

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).

# 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.

# 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:

cargo-ai content file upload --help
cargo-ai content library create --help