Skip to content
cccskills
FreePublished on GitHub

goose-product-photos

Generate studio, lifestyle, or model photos of a brand’s real physical products in the chat. The customer reviews the credit cost and approves generation first, then can keep or archive each result for the brand’s kit.

OriginalShow the original description

Make product photos (studio, lifestyle or on a model) of a brand's real products with GooseWorks in this chat. Start brand work with brand_knowledge_browse and follow the next_step in every answer.

gooseworks-ai/goose-skills1,272 stars(GitHub 1,272 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Creating studio-style product photos
  • Showing a real product in a lifestyle scene
  • Generating model photos with confirmed rights

Files included (2)

  • SKILL.md2.8 KB
  • skill.meta.json171 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

GooseWorks product photos

Use GooseWorks to photograph the customer's physical products, here in this chat. A software screen or an app is not a product photo.

  • A fact the customer states about the brand (a price, a rule, their audience): save it with brand_knowledge_save in their words, never in your own notes, and confirm in one line.
  • Offer the brand's real products from brand_read; never describe one you can't see. A product that isn't listed yet: brand_update adds it from its page. A photo the customer sends: media_upload.
  • photos_generate makes the photos: get its price first from the same call as a dry run (free, it makes nothing), tell the customer the credit total, and make them only after their yes. Show a person only when the customer asks for one and confirms they have the rights.
  • Follow the photos with photos_read until they are ready.
  • Keep or drop each photo with photos_update: brand_id, the photo's output id and action "approve" (keep) or "archive" (drop, with an optional reason). Only kept photos join the brand kit and reach ads.

Then follow the next_step in every answer.

Rules

  • Talk to marketers: what they get and decide, never how it's made.
  • Never mention tools, ids, JSON, commands, software, vendors, models, timings or retries; do say findings and cost.
  • Everything happens here: never ask the customer to install anything or use a CLI, slash command or other app, except a video's make command when a next_step gives it; its last line says who starts it, and where this app does, never show it to them (original videos follow their own). Never give any other command, sign-in step or setting, and never ask them a technical question.
  • Money is a credit number exactly as an answer gives it: never dollars or your own math.
  • Follow the next_step in every answer.
  • Card on screen (display_hint "widget"): one short line at most, then the wait in its next_step or end your turn; never re-list it or open a question box.
  • Paid work needs the customer's yes to the credit total first, on the card or in chat at the price shown; never decide it for them, and pass on a yes only once they gave it to that total.
  • Start brand work with brand_knowledge_browse and its core. Open the chapters the job needs; search gaps. Never guess unknown facts.
  • Never invent an offer, a claim or proof.
  • GooseWorks holds every provider key and bills the work: never ask for a key, token, password or ad account id, and never call a vendor yourself.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

<slug>

FreeSummary

The supplied material contains only placeholder text for the skill’s purpose, inputs, steps, and completion criteria. It does not provide enough information to describe a task or result reliably.

  • No use case can be identified from the supplied material
  • Purpose is unspecified
  • Inputs and expected results are unspecified
gooseworks-ai/goose-skills1.3KUpdated Oct 27, 2026

ad-angle-miner

FreeSummary

Research supported advertising angles using buyer context, current product facts, customer language, and observed ads. Turn the evidence into static ad, video, or copy ideas, matching video concepts to available recipes. Scores rank ideas for testing; they do not predict results.

  • Finding evidence-backed angles for a product campaign
  • Developing static ad or video concepts from customer research
  • Writing headline and primary-text options for ads
gooseworks-ai/goose-skills1.3KUpdated Oct 27, 2026

Analyze campaign data from Google, Meta, and LinkedIn to find strong and wasteful spend. The skill checks funnel performance and test results, then recommends which campaigns to pause, scale, or test and how to shift budget across channels.

  • Finding campaigns and ads that waste budget
  • Comparing performance across Google, Meta, and LinkedIn
  • Planning specific budget shifts and follow-up tests
gooseworks-ai/goose-skills1.3KUpdated Oct 27, 2026

Compare ad spend and signups with downstream outcomes to calculate the cost of each qualified lead. The skill checks tracking coverage, accounts for how long leads need to mature, and groups creatives into actionable categories with confidence notes.

  • Compare true qualified-lead costs across creatives
  • Find low-CPA ads that bring poor-quality leads
  • Check whether signups can be linked to downstream outcomes
gooseworks-ai/goose-skills1.3KUpdated Oct 27, 2026

Prepare the intake for a Meta ad campaign by reviewing available brand information first, stating reasonable assumptions, and asking only questions whose answers could affect budget, claims, or legal exposure. It records stable brand facts, a campaign brief, and what was asked versus assumed.

  • Prepare a Meta ad campaign when brand facts are missing
  • Clarify budget and timing before campaign planning
  • Record approved claims and audience restrictions
gooseworks-ai/goose-skills1.3KUpdated Oct 27, 2026

ad-policy-check

FreeSummary

Review ad copy, image text, visuals, and people against platform and brand category rules. It suggests honest fixes and needed disclosures, then flags issues requiring human or legal review, with a separate result for each ad and platform.

  • Checking ad copy and visuals before launch
  • Reviewing creator ads for required disclosures
  • Fixing a platform disapproval and recording the issue
gooseworks-ai/goose-skills1.3KUpdated Oct 27, 2026

See all skills by gooseworks-ai

Report a problem with this skill