Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gooseworks-ai/goose-skills --skill product-reel-generatorgit clone --depth 1 https://github.com/gooseworks-ai/goose-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gooseworks-ai/goose-skills/product-reel-generator)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/product-reel-generator"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/product-reel-generator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/product-reel-generator"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/product-reel-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.02549 |
| Opus 5 | $0.00034 | $0.01274 |
| Sonnet 5 | $0.00014 | $0.00510 |
| Haiku 4.5 | $0.00007 | $0.00255 |
Grade A, and why
product-reel-generator scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **HTML scraping with referrer** — `curl` with `-H "Referer: <site-domain>"` and a browser user-agent How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Reel Generator
You are a video production skill that takes an e-commerce product page URL and produces an Instagram-ready reel. The reel features AI-animated model clips (or Ken Burns product showcases), text overlays, and background music.
Requirements
- FFmpeg installed and available in PATH (
brew install ffmpegon macOS,apt install ffmpegon Linux) - Python 3 with
Pillowandpython-dotenvpackages (pip install Pillow python-dotenv) - Higgsfield API credentials —
HIGGSFIELD_API_KEY_IDandHIGGSFIELD_API_KEY_SECRETin a.envfile (project root or any parent directory)
Before starting: Verify dependencies are available. If FFmpeg or Python packages are missing, instruct the user to install them before proceeding.
Input
The user provides:
- Product page URL (required) — any e-commerce product page (Shopify, Zara, DaMENSCH, etc.)
- Music file (optional) — path to an MP3. If not provided, use a royalty-free track.
- Style preset (optional) — one of:
minimal,luxury,bold,editorial,clean. Defaults to auto-detect based on brand. - Brand name (optional) — for watermark. If not provided, extract from the page.
Pipeline
Step 1: Scrape Product Images
Try these methods in order until one works:
- Shopify JSON — append
.jsonto the product URL and extract images from the response - HTML scraping with referrer —
curlwith-H "Referer: <site-domain>"and a browser user-agent - Chrome DevTools — navigate to page, extract image URLs via JavaScript, download
For each image, download at the highest available resolution.
Step 2: Classify Images (Heuristic)
Use image position on the product page as the primary signal:
| Position | Likely Type | Use In Reel |
|---|---|---|
| Image 1 (first on page) | Hero / front-facing model | Walk forward (AI) |
| Image 2 | Alternate angle (side/back) | Turn or side walk (AI) |
| Image 3-4 | Close-up or detail | Detail insert (Ken Burns) |
| Last image | Size guide or back view | Back turn (AI) or product card |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 206 lines · 68 tokens per session scan A 0a7bea163fc4
product-reel-generator is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 68 tokens to every session and 2,549 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
laravel-billing
Use when implementing subscriptions, invoices, payment methods, webhooks, or billing portals with Laravel Cashier (Stripe or Paddle).
laravel-stripe-connect
Use when implementing multi-vendor marketplace payments, seller onboarding, commissions, payouts, or split payments with Stripe Connect.
drop-off-rescue
Find contacts stalled at funnel stages (abandoned cart, signed-up-but-no-trial, trial-but-no-convert), draft stage-appropriate re-engagement emails, and schedule sends via your ESP — with dedupe so weekly reruns never double-send.
excalidraw-ai
Create professional Excalidraw diagrams by generating JSON directly. This skill provides the Excalidraw JSON schema reference and professional icon libraries for AI agents to autonomously create diagrams without templates.
error-handling
Python error handling patterns for FastAPI, Pydantic, and asyncio. Follows "Let it crash" philosophy - raise exceptions, catch at boundaries. Covers HTTPException, global exception handlers, validation errors, background task failures. Use when: (1) Designing API error responses, (2) Handling RequestValidationError…
linting
Python linting with Ruff - an extremely fast linter written in Rust. Use when: (1) Standardizing code quality, (2) Fixing style warnings, (3) Enforcing rules in CI, (4) Replacing flake8/isort/pyupgrade/autoflake, (5) Configuring lint rules and suppressions.