google-ads-builder-demand-gen
Skill11 starsChanged 5 months agoMITView on GitHub
Builds a Demand Gen campaign blueprint — audience-led, creative-heavy campaigns across YouTube, Discover, and Gmail. Covers audience strategy (your-data, lookalikes, custom segments), image and video creative sets, ad formats, and the upper/mid-funnel measurement caveats. Emits a human .xlsx plus a campaign-spec .json (demand_gen). Reads account-context.yaml. Use when the user says "demand gen", "demand generation", "youtube campaign", "discovery ads", "top of funnel".
In this repository14 other files it gives its agents.
- google-ads-assetsSkill
- google-ads-auditSkill
- google-ads-builder-branded-searchSkill
- google-ads-builder-pmaxSkill
- google-ads-builder-searchSkill
- google-ads-experimentsSkill
- google-adsSkill
- google-ads-measurementSkill
- google-ads-optimizerSkill
- google-ads-planSkill
- google-ads-pusherSkill
- google-ads-routineSkill
- google-ads-setupSkill
- google-ads-trackerSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
Read context (audiences available, brand, vertical, budget) + the plan output.
- Very specific: line 18
Write to the working directory: blueprint.xlsx + campaign-spec.json (campaign_type: "demand_gen", asset-group-style creative groups).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Google Ads — Builder: Demand Gen
An audience-led, creative-heavy campaign for awareness/consideration. Different from PMax/Search: the audience and creative are the levers, and measurement is upper-funnel.
Operating rules
- Read context (audiences available, brand, vertical, budget) + the
planoutput. - Write to the working directory:
blueprint.xlsx+campaign-spec.json(campaign_type: "demand_gen", asset-group-style creative groups). - Set expectations: this is funnel-building, not last-click harvesting.
Model dispatch (run cheap, decide expensive) — see ${CLAUDE_PLUGIN_ROOT}/references/model-tier-dispatch.md
- Scout (
haiku) — per-URL 200 checks; creative-spec/size validation; pulling available audience lists. - Routine (
sonnet) — pulling customer-match/visitor lists + high-value seeds for lookalikes. Dispatch asgeneral-purpose; return raw lists, don't strategize. - Judge (main session) — STEP 2 audience strategy, STEP 3 creative direction (via
assets), STEP 4 funnel/measurement framing, bidding. Audience inventory is cheap; audience strategy and creative are judgment.
STEP 1 — Inputs
Funnel goal (awareness/consideration/action), budget, and the products/message to feature.
STEP 2 — Audience strategy
- Your data: customer-match lists, website/app visitors (retarget).
- Lookalikes: from high-value customer seeds.
- Custom segments: by search behavior or competitor/site interest (
competitor_terms). - Interest/demographic layers as broad context. Combine behavioral + intent; avoid demographics alone.
STEP 3 — Creative sets (via assets)
Build per format: single image, carousel, and video (combined image+video drives more conversions than video-only at similar CPA). Provide briefs/specs and on-screen CTA. Strong, diverse creative IS the targeting lever here.
STEP 4 — Ad formats, funnel role & measurement caveats
- Map creatives to formats (YouTube in-feed/Shorts, Discover, Gmail).
- No frequency capping in Demand Gen — monitor reach vs frequency manually.
- Attribution leans on view-through / brand-lift; don't judge it on last-click ROAS alone. State this.
STEP 5 — Bidding
Maximize Conversions (or value) aligned to the funnel goal; consider brand-lift/awareness objectives for pure top-funnel. Respect ramp discipline + change-event cooldown.
STEP 6 — Output + verification
Emit blueprint.xlsx + campaign-spec.json. Set campaign.status: "paused",
conversion_goals.scope: "campaign". Verify creative specs/limits, audience signals present and distinct,
Final URLs live. Hand the JSON to pusher (Demand Gen is mostly API-or-UI — guided build in Mode A).
To build / refine later
- Brand-lift / awareness objective configuration.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

