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Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.

Marketing Launch

Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.

Agent Audit Essentials

Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.

Conversion and Activation Review

Review the journey from landing page and lead capture through registration, first value and transparent upgrades.

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Plan a campaign, draft its channel content and review the work against actual brand guidance.

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Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.

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Understand customer needs, compare competitors and plan a community around real member value.

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Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.

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Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.

Data Analysis Foundation

Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.

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What the MCP returns at this step

67 · Marketing · Ads Operations

Google Ads Experiment Planning

Plan Google Ads experiments using the GoMarble proposal workflow; use Growth Experiment Design for broader experiment strategy.

anzeigenexperimentanlagegoogle-ads-create-experiment

Google Ads Experiment Creation · Original SKILL.md

---
name: google-ads-create-experiment
description: "Use when launching a Google Ads experiment. Loaded after the create master skill."
---
# Google Ads — Create / Update Experiment

Tools: `google_ads_propose_create_experiment`, `google_ads_propose_update_experiment`. Tool schemas describe shape; this skill covers the business rules.

## V1 Capability Surface

- `type`: `SEARCH_CUSTOM` only. No `DISPLAY_CUSTOM`, no `SHOPPING`, no `YOUTUBE`. Reject any other type up front.
- `base_campaign_id`: must reference an existing campaign with `advertising_channel_type = SEARCH`.

## How experiments work in V1

Two-arm A/B test on a single base campaign:
1. Propose tool creates the Experiment (status `SETUP`), then both ExperimentArms — control reuses base campaign; treatment forks a draft campaign.
2. Optional `draft_modifications` apply to the treatment's draft campaign.
3. Propose tool calls `experiments/{id}:scheduleExperiment` (Google long-running operation) and polls until done.

## Non-Schema Rules

- `traffic_split.control` + `traffic_split.treatment` must sum to 100. Each in 1–99.
- `start_date`: ≥ today + 1 day, within ~1 year.
- `end_date`: > `start_date`.
- Experiment `name` is unique per customer — duplicate names reject. Append a suffix and retry.
- **`draft_modifications.daily_budget` is propose-side advertised but the executor does NOT push it.** Tell the user budget changes on the draft campaign aren't supported in V1; propose a separate post-schedule update if they want one.

## Lifecycle Actions (update)

We expose ENABLE/PAUSE-style transitions and Google's lifecycle promotions. We do **not** expose entity removal.

| `action` | Effect | Allowed from |
|---|---|---|
| `RENAME` | Rename experiment | any state |
| `PAUSE` | Pause running experiment | `RUNNING` |
| `RESUME` | Resume paused experiment | `HALTED` |
| `END` | End experiment immediately (LRO) | `RUNNING` / `GRADUATED` |
| `PROMOTE` | Promote treatment to base (LRO) | `RUNNING` / `ENDED` |
| `GRADUATE` | Convert treatment into a standalone campaign (LRO) | `RUNNING` |

`END`, `PROMOTE`, `GRADUATE` use Google's long-running operation system. The executor polls until done; failures show up in the LRO's `error` field. Common LRO errors:
- `START_DATE_TOO_FAR_IN_FUTURE`
- `CANNOT_CREATE_EXPERIMENT_CAMPAIGN_WITH_SHARED_BUDGET`

Surface these directly to the user — they're fixable in the Ads UI by adjusting dates or detaching the shared budget.

## Output After Execution

Create:
> Done. Created and scheduled experiment `<name>` (id `<id>`). `<control>`/`<treatment>` split on campaign `<base_name>`. Treatment draft: `<draft_name>`. Will start `<start_date>`.

Update:
> Done. `<action>` on experiment `<name>` (id `<id>`).

When to use

Plan Google Ads experiments using the GoMarble proposal workflow; use Growth Experiment Design for broader experiment strategy.

What you get

The complete original GoMarble guidance, with source attribution and declared limits.

How it works

Clarify scope, use available evidence, and apply the relevant source workflow within actual user authorization.

Requirements

Base campaign, hypothesis, traffic split, dates, success criteria and authorized account scope.

Delivery and review notes

Experiments can spend real budget. Resolve the referenced creation workflow and guardrails before an authorized proposal. GoMarble connectors, referenced sibling skills and runtime dependencies are not bundled or installed by M11. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external calls, account mutations or ad spend.

Starting prompt

Use Google Ads Experiment Planning for [TASK]. Clarify Base campaign, hypothesis, traffic split, dates, success criteria and authorized account scope. Separate observed evidence from heuristics and recommendations. Check actual connector availability and approval semantics before any external action.

Not for

Claiming installed GoMarble tools, proven campaign outcomes or authorization to launch ads merely from loading this source.

What M11 added

German routing and explicit scope. Original attribution: GoMarble. Experiments can spend real budget. Resolve the referenced creation workflow and guardrails before an authorized proposal. GoMarble connectors, referenced sibling skills and runtime dependencies are not bundled or installed by M11. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external calls, account mutations or ad spend.

Original authorship remains with gomarble-ai/marketing-agent · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 GoMarble

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: 5e48e952464ecb5783fdc85ead503d9d19bc9c19a3b83fca524a688a1de7c5f9
Snapshot checked: 2026-09-28T16:19:52.867Z

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