cargo-project — скилл для Claude Code: что делает и как установить

---
name: cargo-project
description: "Declare a whole Cargo workspace in a project, GTM as Code — connectors, models, plays, tools, agents, MCP servers, segments, context, folders, files, workers, and apps in TypeScript, reconciled with `cargo-ai project` (init → types → plan → deploy), the way you would run Pulumi or Terraform. Triggers: \"as code\", \"in git\", \"version-controlled\", \"reproducible\", \"Terraform for Cargo\", \"set up a whole workspace\", \"staging and production\", \"deploy the workspace from CI\", \"review this in a PR\", \"cargo.json\", \"cargo.state.json\", \"scaffold from a template\", \"is there a cookbook for this\", \"start from a cookbook\". Skills with a worked project example (TAM building, account scoring, call capture, inbound qualification, CRM enrichment, standup) live in gtm-skills; menu in references/cookbooks.md. Skip when: it is a one-off operation, a read, or an ad-hoc query — use the matching capability skill."
version: "4.3.1"
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 project — a Cargo workspace, declared in a repo

Use this skill to define a Cargo workspace in TypeScript (`define*` builders from
`@cargo-ai/cdk`) and reconcile it to live infrastructure with `cargo-ai project deploy`.
It is the **declarative** counterpart to the imperative capability skills: instead
of running one CLI command per resource, you write the whole graph once and deploy
it repeatably, with a **deploy state** — held in your workspace, pointed at by a
committed `cargo.state.json` — linking your code to what Cargo created. A **project**
is the folder holding `cargo.json` (`{ "resources": "infra" }`): every
`cargo-ai project` command finds the nearest one above where it runs, and stops
without one.

> **"Project" and "workspace" are two different things — keep them apart.** A
> **workspace** is the Cargo tenant you sign into: it holds the models, connectors,
> agents, mailboxes and credits, and it is what `login --workspace-name` selects and
> what `whoami` reports. A **project** is the folder holding `cargo.json` that
> declares resources and deploys them into a workspace: it is what `project init`
> scaffolds, where `cargo.state.json` sits, and what every command finds by walking up
> to the nearest `cargo.json`. A repo can hold several, one `cargo.json` each. One project deploys into
> one workspace at a time — the workspace guard refuses a deploy when the state's
> workspace isn't the selected one — and the same project reaches a dev and a prod
> workspace through a different deploy state each. Say "project" for it, and
> don't name a project directory `my-workspace`.

## 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 [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
cargo-ai project --help                     # `unknown command` = CLI too old; reinstall @cargo-ai/cli@latest
```

Two project-specific extras: the project needs **`@cargo-ai/cdk` as a dependency** for the `define*` builders you import (`cargo-ai project init` scaffolds a `package.json` with it — then `npm install`), and the `cargo-ai project` domain ships with the CLI itself.

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.

## 1) What this skill governs

- **Authoring** every Cargo resource with a `define*` builder that returns a
  **handle**; wiring resources by passing handles to each other (the dependency
  graph is your variable graph).
- **Deploying** the graph: `plan` (offline diff) → `deploy` (create/update, write
  state) → `destroy` (tear down). Plus drift (`refresh`), adoption (`import`), and
  recovery (`rollback`).
- **Typing** the config against your workspace's real integration schemas
  (`cargo-ai project types`).

A project spans **every** resource kind — so it overlaps every imperative capability
skill (`cargo-connection`, `cargo-storage`, `cargo-ai`, `cargo-orchestration`,
`cargo-content`, `cargo-hosting`, …). Which to reach for is the first decision:

## 2) A project or the CLI? — the routing decision

> **Declarative (this skill) vs imperative (a capability skill).**

Use a **project** when the user is **managing resources as an artifact**:

- "Set up / stand up / bootstrap a whole workspace (as code / from a template)."
- "Make this reproducible / version-controlled / in git / repeatable across
  environments (dev → prod)."
- "Deploy these connectors + models + agents together" (a multi-resource graph
  wired by dependency).
- Anything that should be re-runnable and diffable, where losing the definition
  would be a problem.

Use the matching **capability skill** (imperative `cargo-ai <domain>`) when the
user is doing a **one-off operation** or **exploring**:

- "Create one connector", "add a column to this model", "list connectors",
  "run this workflow", "query storage", "read this agent's memory."
- Any read, ad-hoc query, or single mutation that doesn't need to live in code.

When unsure, ask whether the result should be committed and re-deployable. If yes
→ a project. If it's a quick action or a read → the capability skill (see the
[`cargo` router](../cargo/SKILL.md) to pick the right domain).

### Before writing anything: restate it, then ask only what you cannot read

A project request is usually one sentence ("score our accounts every week"), and the
gap between that sentence and a deployed graph is where a wrong build comes from. Close
it before the first `define*` file, not after the plan.

1. **Read first.** `cargo-ai whoami`, `connection connector list`, `storage model list`,
   the project's existing `infra/`, and [`references/cookbooks.md`](references/cookbooks.md).
   Never ask what one of those answers (which CRM is connected, whether a Companies
   model exists, whether a cookbook already does this).
2. **Restate the build in four lines**: what keeps arriving and where it lands; what
   triggers it (schedule, webhook, record change); what it reads and what it writes;
   what it spends on each run (the paid nodes, how many records, how often).
3. **Ask at most three questions**, only for what lives in the user's head: which
   records count (the segment), where the result goes (a channel, a CRM field), the
   volume or credit ceiling. Give each a proposed default, so "yes" answers all of them.
4. **Wait for that yes before authoring.** If the user already said to just build it, or
   the request names every piece, write the restatement as stated assumptions and carry
   on; the plan review is then where they correct it.

A cookbook's `What you will be asked` table is this step already worked out for that
outcome: use it instead of improvising one.

## 3) The lifecycle

```
cargo-ai project init <dir>     scaffold the Cargo template: cargo.json + cargo.state.json, resources in infra/
        │
cargo-ai project types          generate per-workspace types for typed config (optional)
        │
   (author define* files)   importing a .ts file IS registration — no list to keep
        │
cargo-ai project plan           compile the graph, diff against the deploy state (creates nothing)
        │
cargo-ai project deploy         create/update resources in dependency order, write state
        │
cargo-ai project destroy        tear down resources recorded in state
```

> **`project plan` says what resources change; it doesn't show what a play does.**
> For a `definePlay` / `defineTool` graph past three nodes, present a Mermaid
> flowchart of the node graph alongside the plan — routing, fallbacks, and which
> nodes bill on every scheduled run are what the reviewer is approving. Generate it
> from the deployed release after the first deploy, or from the node array while
> authoring:
> [`../cargo-orchestration/references/node-diagram.md`](../cargo-orchestration/references/node-diagram.md).

Side branches: `cargo-ai project check` (validate the tree, no state, no API calls —
the CI/editor subset of `plan`) · `cargo-ai project info` (what is here: every declared
resource, the file that declared it, whether it is deployed) · `cargo-ai project refresh`
(read-only drift report) · `deploy --refresh` (re-apply code over out-of-band edits) ·
`deploy --prune` (delete resources removed from code) · `cargo-ai project import <id> <uuid>`
(bind an existing live resource into state) · `cargo-ai project pull` (generate `define*`
source from a live workspace and adopt it) · `cargo-ai project rollback` (restore the
pre-deploy state snapshot) · `cargo-ai project state` (inspect and repoint the deploy state;
`state connect` to deploy from GitHub) · `cargo-ai project graph` (Mermaid of the live
workspace's resources, or `--project [--plan]` for the local code) · `deploy --dry-run` /
`--draft` (preview / stage without going live).

**`plan` and `info` answer different questions.** `plan` answers *what will deploy do* —
its unit is the change, and it exits non-zero so CI can gate on it. `info` answers *what
is here* — its unit is the resource, and it never fails. `check` is `plan` minus the diff:
it needs no state, so it is what an editor or a pre-commit hook runs. Running `cargo-ai
project` with no subcommand prints its help.

## 4) Documentation hierarchy

- **Level 1** — `SKILL.md` (this file): the decision model, lifecycle, critical
  rules, and routing.
- **Level 2** — Guides:
  [`guides/authoring-resources.md`](guides/authoring-resources.md),
  [`guides/deploy-and-state.md`](guides/deploy-and-state.md),
  [`guides/executions.md`](guides/executions.md),
  [`guides/typed-config.md`](guides/typed-config.md).
- **Level 2.5** — Recipes: [`recipes/*.md`](recipes/) — step-by-step playbooks to
  follow as your execution plan.
- **References** — [`references/resources.md`](references/resources.md) (the full
  builder catalog), [`references/commands.md`](references/commands.md) (every
  `cargo-ai project` subcommand + flags),
  [`references/troubleshooting.md`](references/troubleshooting.md), and
  [`references/examples/full-workspace.md`](references/examples/full-workspace.md).

## 5) Read behavior — match the task to a doc and READ IT

| When the task involves… | Read this first | What it gives you |
|---|---|---|
| Writing `define*` files, wiring resources, `secret()`/`env()`, `defineWorkflow` bodies (tool/play logic) | [`guides/authoring-resources.md`](guides/authoring-resources.md) | The builder catalog, the handle/ref model, secrets, and how workflow bodies compile. |
| `plan` / `deploy` / `destroy`, the state file, drift, adopting existing resources, CI | [`guides/deploy-and-state.md`](guides/deploy-and-state.md) | The deploy lifecycle, `cargo.state.json` semantics, drift/import/rollback, async builds. |
| Running a play, tool or workflow **once** from code (`defineBatch` / `defineRun`, `outputs/`, the ledger) | [`guides/executions.md`](guides/executions.md) | Builders, `data` kinds, where executions live, what `plan` prints, the exactly-once ledger and its statuses. |
| Typed config, `cargo-ai project types`, tsconfig wiring, `uses.<key>.<action>` connector calls in workflow bodies | [`guides/typed-config.md`](guides/typed-config.md) | What `project types` generates and how to wire it into your project. |
| A field/spec/output for a specific builder | [`references/resources.md`](references/resources.md) | Every builder → spec fields → which ref each takes → outputs. |
| Exact command flags | [`references/commands.md`](references/commands.md) | Every `cargo-ai project` subcommand and its flags. |
| A deploy error / footgun | [`references/troubleshooting.md`](references/troubleshooting.md) | The known failure modes and fixes. |
| A known GTM outcome, before authoring one; or what to suggest after one is set up | [`references/cookbooks.md`](references/cookbooks.md) | The cookbook menu, in stage order: gtm-skills that carry a worked project example, the adaptations each supports, and which to suggest next. |

### Cookbooks — check the menu before authoring a known outcome from scratch

[`getcargohq/gtm-skills`](https://github.com/getcargohq/gtm-skills) holds, beside its
one-off skills, **cookbooks**: skills that carry worked project resources, the same job as a deployed
pipeline that keeps producing the result (TAM building, account scoring, call capture,
inbound qualification, CRM enrichment, stalled-deal nudges, …). Every folder is self-contained: its
own models, connectors and folders, no shared foundation, no requires graph.

**The menu is local: [`references/cookbooks.md`](references/cookbooks.md).** Read it
before authoring a common GTM outcome from scratch, and again once a cookbook is set up:
it lists them in stage order, and that order is what to suggest next — the earliest
cookbooks not set up yet. It is generated from gtm-skills' `catalog.json`, so it cannot
drift.

**A cookbook is a worked example, not a template to fill in.** Each one declares in its `SKILL.md` what may be reshaped, what must hold or it stops
working, and what has to be answered either way, and it carries its own procedure.
`project add` is the copy step in that procedure:

```sh
cargo-ai project add cookbook/tam-building               # inside a project
cargo-ai project init my-project --cookbook tam-building # no project yet: both at once
```

That writes the resources to `infra/tam-building/` and the procedure to
`.claude/skills/tam-building/`, skipping any file it would overwrite. **Then start the
skill at its Adapt section** — its opening steps are written for someone who found the
folder on GitHub and still has to place it, so following them from the top scaffolds a
second project and copies the folder in again.

What is left after the copy is the part only you can do: reconcile it with what is
already declared, adapt the copied files **in place** to the project's real shape (do not
regenerate them from the skill's prose — the safety lives in the TypeScript), plan and
stop, deploy on a yes, walk its `Done when`.

**If you are mid-task and the skill is not in this session**, `npx skills add
getcargohq/gtm-skills/<slug>` fetches the procedure alone and you can read
`.agents/skills/<slug>/SKILL.md` directly; no reload needed. To read one without
installing, `npx skills use getcargohq/gtm-skills@<slug>` prints it. Neither brings the
project resources — for those you still want `project add`.

**Routing rule: one-off versus standing.** A user who wants the list today wants
`cargo-gtm` (or gtm-skills' one-off `build-tam-list`); a user who wants a pipeline
that keeps producing it wants `tam-building`. The same words describe both ("build
our TAM"), so listen for whether the result is meant to keep arriving. A cookbook
matches → install it and follow it. No match → author from the recipes below.

**Never `cargo-ai project init --force` into a directory that is not empty.** It replaces
the project's `package.json` and reverts adapted code, while `cargo.state.json`
survives, so the next `plan` diffs a live workspace against code nobody wrote. Copy the
skill folder in as a sibling instead.

Each cookbook's state is in the menu's `State` column. `approved` means it was deployed
and run on a live workspace and its results checked; `to-be-approved` means it
typechecks and plans but has not been deploy-verified yet, so say so when you suggest
it. Either way, treat the skill's `Done when` as the acceptance test and review
`cargo-ai project plan` before deploying.

### Recipes — follow step-by-step when one matches

| Recipe | Use when… |
|---|---|
| [`recipes/scaffold-a-project.md`](recipes/scaffold-a-project.md) | Standing up a new project from scratch (`init` → types → plan → deploy). |
| [`recipes/add-connector-and-model.md`](recipes/add-connector-and-model.md) | Adding a data source + a model sourced from it, wired by handle. |
| [`recipes/build-an-agent.md`](recipes/build-an-agent.md) | Composing a model + tool + agent (wired through `uses`) and deploying. |
| [`recipes/migrate-existing-workspace.md`](recipes/migrate-existing-workspace.md) | Bringing an already-live workspace under a project via `project import`. |
| [`recipes/deploy-from-ci.md`](recipes/deploy-from-ci.md) | Plan every PR and deploy every merge: connect the GitHub repo (`project state connect`), or your own CI with a token as the fallback. |

## 6) Critical rules

- **Commit `cargo.state.json` — it is a pointer now, not the state.** The deploy
  state lives in your **workspace**; the repo commits only
  `{"stateUuid": "8f2c…"}`. `project init` creates the state and writes that
  pointer, so it lands in the scaffold commit. Commit it: without the uuid a fresh
  checkout can't find its state, and a deploy will **not** quietly create a
  replacement (that would orphan everything the old one tracks). The state records
  only uuids, hashes and outputs — never secret values. It is still the **only**
  handle on a deployed **play**, **agent**, or **alert** (they have no slug);
  recover a lost link with `project state bind <uuid>`, or per-resource with
  `cargo-ai project import`. Git-ignore the working files (`project init` scaffolds
  this):
  ```gitignore
  .cargo-ai/
  cargo.state.lock
  cargo.state.bak.json
  cargo.state.cache.json
  cargo.state.audit.jsonl
  ```
  One state per project, and at most **10 live states per workspace**:
  ```bash
  cargo-ai project state list            # every state here, and which one this project is on
  cargo-ai project state create          # create one for this project, write the pointer
  cargo-ai project state bind <uuid>     # repoint at an existing one
  ```
  A project scaffolded before states moved to the workspace has the resource map
  **inline** in `cargo.state.json`, and keeps deploying against that file for as
  long as you leave it there — nothing migrates behind your back. `state create` is
  what moves it: the map goes onto a new state, the file becomes a pointer, and you
  commit it. Don't migrate without telling the team, since a teammate who deploys
  before pulling the new pointer is deploying from a state that no longer exists.
  (Deleting a state: `cargo-ai project state remove <uuid>` drops the state without
  touching the live resources it tracked; `--force` if `cargo.state.json` points at it.)
- **Three ways to get a value in, and they are not interchangeable.**
  - `secret("ENV_VAR")` — read from **your** environment at deploy time, excluded
    from the content hash and from state. Export the env var before deploying; a
    missing one fails the deploy with an unresolved `${ENV_VAR}` placeholder.
  - `env("ENV_VAR")` — read from your environment at **load** time, and its value
    *enters* the spec and therefore the content hash, so changing it shows as drift.
    Use it for non-secret config you *want* tracked.
  - `workspaceEnv("NAME")` — a **pointer** at a workspace env-var catalog entry.
    Nothing is read locally and nothing can fail; the value stays server-side and is
    re-read on every use, so rotating it in the workspace reaches the resource with
    **no redeploy**. Manage the catalog with `cargo-ai workspaceManagement envVar`
    (see [`../cargo-workspace-management/SKILL.md`](../cargo-workspace-management/SKILL.md)).

  `secret()` and `workspaceEnv()` are accepted at **secret-typed schema positions
  only** — `cargo-ai project types` prints the union at exactly those positions. A
  resource's own `env` block takes `env()` or `secret()` and **rejects** a pointer,
  because a worker, app, agent or script already inherits the whole workspace
  catalog; a pointer there could only restate a variable it can read anyway.
- **A rotated `secret()` needs more than a plain deploy to land.** Keeping the value
  out of the content hash is what stops rotation reading as drift — and it is also
  why `deploy` won't push the new value: nothing in the hash changed, so the
  resource isn't re-applied. Roll it with `deploy --refresh`, or any other edit to
  that resource. `workspaceEnv()` has no such step; that is most of its appeal.
- **Wire by handle, never by `.uuid`.** Pass a `define*` handle directly
  (`connector: hubspot`, `uses: [enrich]`), or `xxRef("uuid")` for a resource you
  didn't define in code (`connectorRef`, `modelRef`, `folderRef`, `toolRef`,
  `agentRef`, …). Where a reference needs per-call options, wrap it as
  `{ ref, …options }` (e.g. `uses: [{ ref: contacts, readOnly: true }]`).
- **Run `cargo-ai project types` after workspace integrations change** — it
  regenerates `.cargo-ai/` so `defineConnector`/`defineModel` config (and
  connector actions called through `uses` in workflow bodies) type-check against the real schemas. Typing
  is a bonus, never a gate: deploy works without it.
- **A project is the folder holding `cargo.json` (`@cargo-ai/cdk` ≥ 1.0.112).** The
  file names the folder whose `.ts` files are loaded, `{ "resources": "infra" }`, and
  optionally where executions live, `"executions": ["outputs"]` (default `outputs/`
  beside `cargo.json`, read at any depth; a `*` segment globs folders, e.g.
  `["outputs/*/executions"]` — see [`guides/executions.md`](guides/executions.md)). Every command walks **up** from where it runs, as far as the
  repo root, to the nearest `cargo.json`, so any subdirectory works; a repo with
  several projects has one `cargo.json` each, and the nearest wins. **Without one, the
  command stops** — it no longer guesses from an `infra/` folder or a `package.json`
  — and prints the line that adds it, at the project's root:
  ```bash
  echo '{ "resources": "infra" }' > cargo.json
  ```
  `cargo.state.json` lives **beside `cargo.json`**, never inside `infra/`. A leftover
  `infra/cargo.state.json` stops every command with the `mv` to run (two state files
  stop it too; keep the one that points at this project's state). `--dir <path>`
  still exists: it says where the lookup starts. Resources live in `infra/` and not
  at the root because the loader imports *every* `.ts` under the folder `resources`
  names, and a repo root also holds `scripts/` — whose files run on import.
- **`--yes` in CI.** `deploy` and `destroy` prompt for confirmation; non-interactive
  runs must pass `--yes`.
- **A connected GitHub repo deploys on merge — and on connect.** `cargo-ai project
  state connect` plans every PR in a comment and runs `deploy --yes` on every push to
  the production branch, starting with the branch head **the moment you connect**
  (`--no-auto-deploy` to plan only). A merge whose plays and executions would exceed 100
  emails, 100 LinkedIn actions, 100 chat messages, 5,000 audience adds or 2,500 credits —
  or can't be counted — fails `Needs approval: large impact` until someone labels the PR
  `cargo:approve-impact`. That label is the user's cost approval: add it only on their
  explicit yes. `secret()` does not resolve there (use `workspaceEnv()`), and while
  auto-deploy is on every other deploy of the state is refused (409
  `stateAutoDeployed`) — remove a GitHub Actions deploy rather than running both. See
  [`recipes/deploy-from-ci.md`](recipes/deploy-from-ci.md).
- **A `definePlay`/`defineTool` graph with paid nodes gets a sample run before it
  goes wide.** Deploying is not running, but the first thing that runs a deployed
  play is usually a batch over the whole segment — and a scheduled play re-bills
  every node on every run. Before enrolling everything (or enabling a schedule),
  run the deployed workflow on **10–20 records** — `cargo-ai orchestration batch
  create --workflow-uuid <uuid> --data '{"kind":"filter","modelUuid":"…","filter":…,"limit":15}'`, or
  `batch create --file ./plays/x.ts --data '…'` to test-run the module without deploying —
  then ask the user to approve the full enrollment with the **record count** and
  **credit estimate**. Read the provider's playbook
  (`../cargo-gtm/provider-playbooks/<slug>.md`, esp. its *Recurring use* section)
  and the gate in
  [`../cargo-gtm/references/cost-discipline.md`](../cargo-gtm/references/cost-discipline.md).
- **An execution runs exactly once, on the next deploy, with no undo and no retry.**
  `defineBatch` / `defineRun` files under `outputs/` (or the `cargo.json`
  `executions` folders) start a real batch or run after the resources apply; a play
  batch can send email and LinkedIn actions and spends credits, and reverting the code
  takes nothing back. A `filter` / `segment` execution over the whole audience **is a
  full batch**: pilot it first and get approval on the record count and credit
  estimate per
  [`../cargo-gtm/references/cost-discipline.md`](../cargo-gtm/references/cost-discipline.md)
  before it reaches a `deploy` (or a merge on a connected repo). The ledger lives in
  the workspace-held state, so a refused or finished execution never re-runs — give it
  a new id; executions need workspace-held state and never run under `--draft`. See
  [`guides/executions.md`](guides/executions.md).
- **A `defineAlert` whose actions call paid nodes re-bills on every breach.** An
  alert's `actions` fire as real runs, so a badly-sized `threshold` on a tight
  `schedule` can breach — and bill — every tick. Size the threshold with
  `cargo-ai observability alert preview` before deploying, prefer cheap notification
  actions (an agent that posts, a connector notification) over anything that fans
  out, and apply the same cost gate above when an action calls a credits-based
  provider. Scope/threshold and firing semantics:
  [`../cargo-observability/SKILL.md`](../cargo-observability/SKILL.md).
- **`defineMailbox` bills monthly, and `defineDomain` owns the records it publishes.** A
  mailbox is 100–125 credits *per month* (shared/private 100, google 125) for as long as it exists (`cargo-ai
  mailboxManagement pricing get` for live figures), so a `+ create mailbox:…` line
  in the plan is a recurring charge the user approves, not a one-off. Its `domain`,
  `username` and `type` are **create-only** — changing any of them is destroy +
  recreate, i.e. a brand-new inbox back at the bottom of a 45-day warm-up ramp. Before
  creating a mailbox the deploy polls the domain's `refreshStatus` for up to 5 minutes
  waiting for the domain to be `active`; it does not wait for the new mailbox, which
  stays `pending` until the provider issues credentials. On
  `defineDomain`, `dnsRecords` is the set of records the deploy **manages**, merged
  into the live zone: the records the registrar wrote at purchase and anything added
  outside the deploy stay put (bar one that can't share a name with a declared CNAME).
  The deploy owns what it published, so dropping a record from the list deletes it on
  the next deploy, and `[]` deletes every record earlier deploys published. Omit
  `dnsRecords` to leave the zone untouched; an entry may be an app's `domainRecords`.
  Edit a managed record in code, not the registrar UI: an outside edit stops the
  deploy (`dns record … was edited outside the deploy`). `redirectUrl`, `dmarcEmail`
  and `dmarcPolicy` left undeclared keep the live value. Use `adopt: true` for a
  domain or mailbox bought in the UI (an adopted domain owns no records until a
  deploy publishes some). Ramp,
  suppression and sending:
  [`../cargo-mailbox-management/SKILL.md`](../cargo-mailbox-management/SKILL.md).
- **Route project-managed resources into a clearly-labelled folder.** Set `folder:` on
  each builder so everything the project owns lands in a dedicated folder whose name signals
  "owned by code — don't hand-edit" to anyone in the UI (manual UI edits read back as
  drift on the next `plan`). Folders are per-kind, so give each kind its own but share
  one short, recognizable prefix — recommended: **`🔒 Project`** (e.g. `🔒 Project Models`,
  `🔒 Project Agents`). Keep names short (long labels truncate in the folder tree); the
  lock emoji is the "don't touch" cue. See
  [`guides/authoring-resources.md`](guides/authoring-resources.md).

## Help

- `cargo-ai project --help` and `cargo-ai project <subcommand> --help` for the live flag
  surface.
- When a documented command/flag/response doesn't match what you observe, file a
  report: `cargo-ai workspaceManagement report create` (see
  [`../cargo-workspace-management/SKILL.md`](../cargo-workspace-management/SKILL.md)).