The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.
npx gooseworks install --all # then, in Claude Code, Cursor, or Codex: /gooseworks use the ad-management-intake skill
What this does. Someone says "I want to run ads on Meta." A good agency would not hand them a twenty-field form. It would read their website first, come back with "here's what I think your business looks like", and ask only the few things it cannot know and cannot afford to get wrong. This skill is that conversation.
The one rule. Ask a question only when both are true:
Everything else is an assumption, said out loud: "I'm assuming X, Y and Z. Tell me if any of these are wrong."
Limits. At most 4 questions in one turn. At most 5 in total for a brand whose research covers the business, up to 20 for a brand with little or none. Plain business language throughout. No ad jargon unless the user used it first.
Paths such as references/business-types.md are relative to this skill's own folder, not to
your working directory (in GooseWorks: agent-config/skills/ad-management-intake/). The harness
docs contract ships with the meta-ad-manager skill, installed beside this one: its
contract/RULES.md and contract/templates/.
"The adapter" below means the file for the mode you chose.
ads/ docs.Read in the contract's order: ads/README.md, then ads/brand.md, then the campaign folder if a
campaign is in play. Anything already recorded is never asked again. If a fact is there and
nothing suggests it changed, use it.
Read the brand research, the catalog and the existing campaigns. If the brand has no research, run the adapter's research step first and come back — research is what makes most questions unnecessary. Notes or documents the user gives you count as research. Do nothing beyond what the adapter's research step says: no broad market study of your own.
One row per fact the harness needs:
| Fact | Value | Source | Wrong-guess cost |
|---|---|---|---|
| e.g. Average order value | ~$40 | research: product prices | money |
A row becomes a question only if its source is unknown or a weak guess and its cost is not none. Every other row becomes an assumption you will state. Rank the questions by how much a wrong answer would cost; if they exceed the budget, the lowest-ranked become written assumptions or "unknown — ask at strategy".
A question whose parts settle one fact counts as one question: the budget's total, its run time and any daily cap are one budget question.
Covers what is true for every campaign: business type and model, unit economics (deal size or order value, margin, what a customer is worth, target cost to win one), how long people take to buy, other channels, what ads may and may not claim, and hard safety limits (such as a maximum daily spend). Plus one familiarity question (see How to talk).
Ask only what the next stage needs now. A fact only a later stage uses (lifetime value before any sales tracking is connected, say) is written as "unknown — ask at strategy", not asked.
Covers what is true for this one push: what the money should produce, what is offered and at what price, who it is for, where people land after tapping, the total budget and how long, what number would make it a good run, and which catalog products it features.
Budget is always a total plus a run time. If the user gives a daily figure, ask how long.
In progressive mode, Section A runs at the start and Section B when the campaign is being set up; in one conversation they usually follow each other directly. In all at once mode, send every remaining question from both sections as one numbered list in one message — the user asked for it, so the 4-per-turn limit (which exists for the question widget) does not apply. The asking rule still does: assumptions stay assumptions.
One message, grouped by topic, in the user's words:
Here's what I'm working from — I'm assuming:
- You sell a self-serve plan at $49 a month, with a 14-day free trial.
- Most customers are small accounting firms in the US.
- People usually decide within a week or two.
Tell me if any of these are wrong.
Never hide an assumption inside a question ("Since you're B2B, what's your ACV?"). Assumptions and questions go in separate, visible places. It is fine to state assumptions in the same turn as the questions, as long as they are clearly separate.
Write every file in the Output section in one pass, following the contract's rules (whole-file
writes, index in step with state.md, decisions.md append-only). Then say in one or two
sentences what happens next — the strategy stage drafts the plan — and hand over.
When the user says an assumption was wrong — during intake or weeks later:
ads/brand.md, this campaign's facts in
the campaign brief. Attribute it: "(per <name>)".Corrected: <fact> saying what changed from what to what.A few facts per type that usually pass the asking rule, and why they move money. These are
examples, not a checklist. Work out the rest from the rule. More detail, including how to
infer each one first, is in references/business-types.md.
| Type | Usually worth asking (when research doesn't say) | Why it changes money |
|---|---|---|
| Software | How long from first look to paying; self-serve sign-up or a sales call; typical yearly deal size | Decides what a lead is worth and what the ads should ask for (trial vs demo) |
| E-commerce | Typical order value; how many visitors buy; how many carts are abandoned; how often people reorder | Decides the affordable cost per sale and whether to chase first orders or repeat buyers |
| App | How many installs turn into payers; revenue per paying user; trial length | Decides what an install is worth — cheap installs that never pay are wasted money |
| Services / other | Derive from the rule | — |
Business type itself is almost always inferable — a Shopify store, an App Store listing and a pricing page with seat tiers say it for you. State it; don't ask it.
Business words only. Talk about their customers, their money, their pages. Campaign objectives, optimization goals, ad sets, pixels, conversion events, placements, bid strategies and every id are your vocabulary, not theirs — the launch skill's "How to talk to the user" table is the translation guide. Never ask the user to choose any of them. If the user front-runs with jargon ("CBO, LPV-optimised"), you may mirror their terms back; never introduce a new one.
The familiarity question — asked once, stored, never repeated:
How much have you run ads on Facebook or Instagram before?
- Never, or only boosted a post
- A few campaigns myself
- I (or my team) run them regularly
These map to novice, intermediate and expert. If the user's own messages make the answer
obvious (they talk fluently about cost per purchase and frequency), state it as an assumption
instead of asking.
Tone by familiarity.
Numbers as choices. A structured question needs 2–4 options, so offer ranges that fit the brand ("Under $30 / $30–60 / $60–120 / More") and let the user type an exact figure. Record a range as a range.
"I don't know" is an answer. Write "unknown — ask at strategy" and move on. Never guess a number the user could not give you.
brand.md already records the
answer. Default until they say otherwise: no named customers, no results, no numbers.All files follow the harness docs contract, which ships with the meta-ad-manager skill
(contract/RULES.md and contract/templates/ in that skill's folder). Drop the templates'
guidance comments when writing. The adapter says where the files and the campaign brief live.
| Where | What this skill writes |
|---|---|
ads/brand.md | Frontmatter brand_id, business_type, familiarity, updated_at. Every section of the template. Label every fact with where it came from (see Labelling facts below). Claims rules default to "No named customers, no results claims, no numbers unless the user approves one here." |
| The campaign brief (where the adapter keeps it) | The goal (derived objective), what the campaign is about, the audience, the offer including its price point, featured catalog product ids and constraints. Money and dates go in the brief's own budget and date fields (the adapter says which), never only in prose. The brief text gets a ## Destination section (the landing page) and a ## Success number section. Products referenced by id, never re-described. |
ads/campaigns/<slug>/state.md | Created if missing: stage: intake, ids none/[], updated_by: ad-management-intake, each section "None." |
ads/campaigns/<slug>/strategy.md | Created if missing, as a version 1 stub: product_ids from the brief, based_on: intake <date>, Goal and Audience filled from intake, every other section "Not decided yet — the strategy stage sets this." If it already exists, leave it alone. |
ads/campaigns/<slug>/decisions.md | One entry per intake run (below), plus one per correction. Append only. |
ads/README.md | Created if missing. The campaign's row: stage intake, last action "Intake: N asked, M assumed", next action "Strategy drafts the plan". |
Labelling facts. Every fact in brand.md and the brief says where it came from, so the next
stage knows what it can lean on:
| The fact is… | Write it as |
|---|---|
| Said by the user | "$1,500 over 3 weeks (per Dana)". Use the user's name if you know it, else "per the owner" |
| Written by the user in notes or a document they gave you | "(per Dana, brand notes)" |
| From research, and the user saw it stated and did not object | "(from research: pricing page, confirmed by Dana)" |
| Your own inference the user has not seen or confirmed | "(assumed from <source> — not confirmed)" |
| Chosen by you because the user said "you decide" | "(our call — confirm at strategy)" |
| Not known | "unknown — ask at strategy" |
Once a fact is confirmed, drop the word "assumed". A confirmed fact labelled as an assumption makes the next stage re-ask it.
The campaign slug is a short kebab-case name from the campaign's own name ("fall trial push"
→ fall-trial-push). If the harness orchestrator already created the folder, use it.
The intake entry — one line per field, so the contract's validator can read it:
### 2026-09-24 — Intake
- Recommended: Proceed on 8 stated assumptions and 4 answers
- Evidence: intake 2026-09-24; asked: total budget and run time, deal size, claims, familiarity; assumed: business type software (research), buyers are small accounting firms (research), decision in 1-2 weeks (research), …
- Decided: Dana answered 4 questions and confirmed the assumptions
- Outcome: brand.md and the campaign brief writtenA correction entry:
### 2026-09-30 — Corrected: main paid plan
- Recommended: Update the main paid plan from assumed monthly ($9.99) to annual ($39.99)
- Evidence: user request
- Decided: Dana corrected it
- Outcome: brand.md Business model and Unit economics updatedads/ passes the contract validator; decisions.md only grew.brand.md or the brief.| Symptom | Cause | Fix |
|---|---|---|
| The user gets a form of 12 questions | Every missing fact was treated as a question | Apply both halves of the rule; rank by cost; turn the rest into stated assumptions |
| "Is this B2B or B2C?" to a brand with a Shopify store | Asked what research answers | Read research first (Step 1); business type is almost always inferable |
| The user is asked to pick "conversions vs traffic" | Leaked a Meta setting into intake | Ask what the money should produce; derive the objective |
| An assumed price ends up in the ad plan unconfirmed | The assumption was written but never stated | Step 5 before Step 6, every time |
| "What's your LTV?" to someone who has no idea | Asked a later-stage fact too early | Write "unknown — ask at strategy" |
| A correction re-runs the whole intake | Treated a correction as a restart | Update the one fact, log it, confirm in a sentence |
validate.py fails on a new campaign folder | Only state.md and decisions.md were written | The contract needs all three files; write the strategy.md stub |
| The same question is asked on a second visit | Skipped Step 0 | Read the index, brand.md and the campaign folder before anything else |
ads/ docs.Full video production sequence with script review, actual ingredient choices, controlled generation, editing, evidence-based quality review, polish, captions and delivery. A host binding supplies project storage, authentic approvals, provider access and billing.
Build a vox-pop street interview video ad. An interviewer with a handheld mic asks passers-by one question about the brand's product, they give blunt wrong guesses, one gives the real answer, and the cut lands on a branded end card. Generates the takes through the GooseWorks fal proxy (Seedance 2.0 with native voice), then grades, re-cuts, captions and gates them locally. Use for the street-interview format.
Write the words of a short-form video ad (voiceover, dialogue, chat bubbles, on-screen lines) the way performance creative teams do instead of from a blank page. Builds the script from the buyers' own words, the beat sheet of an ad that already works and three deliberately different angles, filters them with a rule check and a second non-Claude model, and takes the strongest into the review with the other two as one-line swaps. Use it in every video ad run before any paid step, and whenever the user asks to write, rewrite or improve a video ad script or says a script sounds generic or AI-written.