The outcome
Nobody has to know the catalog to know what is missing. Once a week one agent compares the goal with what the workspace runs and says, in the workspace's own numbers, what it noticed: "you have 4,200 accounts and no score on any of them". Each observation comes with the pipeline that fixes it. Two things land:
- A coverage file,
cadence/coverage/<YYYY-Www>.md, in one pull request titled[cadence] coverage YYYY-Www. It holds the goal verbatim, what runs today, and at most five suggestions, each with astatus: openline. To decline one, the reviewer changes that line tostatus: declined: <reason>before merging. That edit is the agent's memory: a declined suggestion stays out for four weeks, and one left open for three weeks is dropped as noise. - A Slack post of the same suggestions, linking the pull request, for the reader who never opens GitHub.
It never installs what it suggests. The install line is in the file, and running it is a human's decision.
What it is not. It does not grade the work that already exists: whether the bets you have are
on track is weekly-planning, and whether a deployed play is failing is workspace-health. An
installed pipeline counts as covered, however badly it is going.
Three properties make it safe to run unattended:
- The menu is fetched, never remembered. The agent reads
https://raw.githubusercontent.com/getcargohq/gtm-skills/main/catalog.jsonevery run and suggests only names it finds there. If the fetch fails it suggests nothing. - Installed is decided by three signals, not a guess:
infra/<name>/in the checkout, a workspace folder named after the pipeline (every pipeline files its resources under one), or a deployed play or agent slug matching the name. - Read-only, then a pull request. Every workspace read is a named
cargo-ailist or an aggregate query. Its write paths are the pull request and one locked Slack channel.
Example
Every week, look at our goal and what we have running, and tell us which pipelines we are missing.
Illustrative output, fictional records:
Goal coverage, 2026-W44: "Reach $8M ARR by 2026-12-31, up from $5.2M on 2026-06-30."
1. Outbound to mid-market is a third of the forecast and nothing tells you
when to reach out: 1,840 tier A accounts, none watched for a new hire. Flag
the week a tier A account hires the role you sell to (`new-hire-detection`).
2. Expansion is $1.1M of the plan and no account is watched for it: 312
customers, no usage or seat signal on any. Flag the customers ready to grow
(`expansion-signals`). Needs the HubSpot connector first.
3. Still missing, first suggested 2026-W42: every demo request answered on the
page (`inbound-qualification`).
Decline or adopt in the pull request: github.example/acme/gtm/pull/212
Three suggestions where five were allowed, each opening on a number from the workspace, and the scoring model declined in W43 is not among them.
Put it in your project
This folder is a worked example: real project resources written for some other company. The job is
to end up with the code your company would have written, in your project, and an agent does the
adapting. If the cargo-project skill is in your session it carries the long form of this; if not, this
is enough.
- Install it: the CLI does the copy. From inside the project (the folder holding
cargo.json),cargo-ai project add cookbook/goal-coveragewrites this example toinfra/goal-coverage/and this procedure to.claude/skills/goal-coverage/. No project yet?cargo-ai project init <dir> --cookbook goal-coverage && cd <dir> && npm installdoes both. If you are reading this from the project's.claude/skills/, the install already happened, so start at step 2. On a CLI too old to haveadd, copy this folder in as a sibling of what is there by hand; everything below is unchanged. - Reconcile it with what is already declared. If the project already has an Anthropic, GitHub or Slack connector, rewire the imports to the existing one and drop the copy; two resources with one slug is a collision at deploy.
- Adapt. Work the sections below in order: What should not change is what you argue back
about; What you can change is what you offer unprompted; What you will be asked is the
floor, and you derive before you ask. Record what you changed and why under a
## Decisionssection in your copy of this file. - Check, then plan.
node --import tsx evals/contract.mjsfrom this skill's folder, thennpm run check && cargo-ai project planfrom the project root, show the diff, and deploy only on an explicit yes:cargo-ai project deploy(or merge, where a merge deploys). Nevercargo-ai project init --forceinto a non-empty directory. - Verify. Run the agent once without waiting for Tuesday, then walk Done when line by line and report each with evidence.
What you will be asked
Derive before you ask. Only the rows marked asked genuinely live in the operator's head.
| Input | Kind | How it is answered | Why it matters |
|---|---|---|---|
| the goal | value | derived when plan/company-plan.md exists: the agent reads its "## The one goal" section. asked only when it does not: one sentence with a number and a date, set as COVERAGE_GOAL in infra/agents/goal-coverage.ts. |
Every suggestion is ranked against it and quotes it. A goal without a number ("grow pipeline") cannot rank anything, so ask for the number. |
Slack channel (infra/agents/goal-coverage.ts) |
value | asked: which channel the revenue leader reads. Resolve the name to its C… id with the Slack connector's channel autocomplete, never type an id. |
Locked on the use so the agent cannot post internal suggestions into a customer channel. |
| repository binding | value | derived: leave repository unset; plan fills it from the checkout's git origin. cargo-ai project check prints it: confirm it names your repo and no trailing in infra/. |
It is where the coverage file lands and where next week's memory is read from. |
service user (infra/users/index.ts) |
value | derived: goal_coverage, a service user on the adopted viewer system role. Deploying creates it; the deploying user's own role must cover viewer. If the project already adopts viewer, import that role instead of declaring it twice. |
Every run's cargo-ai session. Without it the sandbox has no session and every workspace read fails. Viewer reads folders, plays, agents, models and connectors but cannot deploy or change a resource. |
| Anthropic, GitHub, Slack connectors | value | derived: cargo-ai connection connector list; add a missing one with cargo-ai project add connector/<name>. All three are default: true because a deploy cannot mint an OAuth grant. |
The model the run is billed against, the pull request path, and the post. |
What you can change
| Variation | When it is right | How | What it costs |
|---|---|---|---|
fewer |
The team acts on one or two things at a time | Change "at most five" in step 5 of infra/agents/goal-coverage.prompt.ts |
The third most important gap waits a week longer to be said. |
slack-only |
Nobody on the team reviews pull requests | Drop steps 6 and 7 of the prompt, keep step 8 | No memory: a declined suggestion comes back every week, which is what makes people mute the channel. Keep the pull request if anyone can merge it. |
monthly |
The workspace changes slowly | Change the cron to 0 15 1-7 * 2 (first Tuesday) |
A new catalog pipeline or a goal change waits up to a month to be noticed. |
with-ideas |
You want ideas beyond the catalog | Raise the Idea: allowance in step 5 above one |
Ideas have no install line and no deploy-verified example behind them; they are the suggestions most likely to be wrong. |
What should not change
- The sandbox runs as a viewer service user. (
infra/users/index.ts) With norunAsthecargo-aisession is missing and every workspace read fails; with a broader role a prompt that is ignored can deploy or edit a resource. - It suggests only what the fetched catalog lists. (
goal-coverage.prompt.ts§3) A pipeline named from memory may have been renamed or removed, and the install line then fails on the one command the reader was persuaded to run. - It never installs, deploys or enables anything. (
goal-coverage.prompt.ts§2, Never) The suggestion is a sentence; the install is a decision with a cost the agent does not see (a connector to authorize, credits on every run). - Every observation carries a number it read. (
goal-coverage.prompt.ts§5) "You may want scoring" is a pitch; "4,200 accounts, none scored" is a finding. A number it did not read is worse than none, because the reader repeats it. - Installed is covered, however badly it is going. (
goal-coverage.prompt.ts§1) Grading existing work is weekly-planning's and workspace-health's job. Do it here too and the same failing play is reported three times by three agents. - The decline memory is the coverage file. (
goal-coverage.prompt.ts§4) Drop the pull request and a declined suggestion returns every Tuesday until someone mutes the post.
Done when
node --import tsx evals/contract.mjspasses: aclaudeCodeharness bound to an Anthropic connector and a model,runAsa viewer service user, no capability, exactly one connector action (slack.postMessagewith the channel locked), and aCOVERAGE_GOALenv entrycargo-ai project planreports the agent, its folder, and the three connectors- the first run opened one unmerged pull request titled
[cadence] coverage <YYYY-Www>whose diff is exactlycadence/coverage/<YYYY-Www>.md, with the goal quoted verbatim and at most five suggestions, each endingstatus: open - no suggestion names a pipeline that is installed by any of the three signals, or one that is not in the catalog
- every observation's number appears in a read listed under
## Checked - the Slack post went to the locked channel, once, and links the pull request
- a second run the same week opened nothing and posted nothing
- after a suggestion was merged as
status: declined: <reason>, the next week's run did not suggest it
What it costs
The recurring cost is the harness run once a week, billed as LLM tokens through the bound Anthropic connector. It scales with what the agent reads: the plan file, a few list commands, one or two aggregate queries, the catalog, and up to eight earlier coverage files. The workspace reads are API calls, not connector actions, so they bill nothing, and the run never executes an action that spends. The Slack post is one connector action a week.
Composes into
Whatever it suggests. Each suggestion's install line is cargo-ai project add cookbook/<name>,
and the next run counts that pipeline as covered. Pairs with weekly-planning (are the bets we
have on track) and workspace-health (is what we deployed broken).