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ecommerce-product-video
AI product video for ecommerce in Claude Code and Claude with MiniMax Hailuo 03 Max Turbo through Wireflow: one product photo to a 6 second clip. Turns the photo into a short product video for an online store or ad: picks a product-safe camera move (orbit, slow push-in, reveal, l
Overview
AI product video for ecommerce in Claude Code and Claude with MiniMax Hailuo 03 Max Turbo through Wireflow: one product photo to a 6 second clip. Turns the photo into a short product video for an online store or ad: picks a product-safe camera move (orbit, slow push-in, reveal, light sweep, turntable, in-context drift), keeps the product unchanged from the first frame, quotes the credits and waits for a yes, then renders the clip and saves the MP4 to ./wireflow-outputs. Use when someone asks for an ecommerce product video, a Shopify or Amazon product video, a video ad from a product photo, a spinning or 360-style product clip, or to animate a product image. Without the Wireflow connector it still writes the motion briefs and a shot plan. For general text-to-video scenes use ai-video-generation.
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AI Ecommerce Product Video
Shoppers trust a product they can see move: light running over the material, the camera circling to show the side, a lid coming off. This skill turns a still product photo into that kind of clip. The photo becomes the first frame, a short motion brief says what moves, and the Wireflow app skill-ecommerce-product-video renders it with MiniMax Hailuo 03 Max Turbo.
The app
| Part | Value |
|---|---|
| Slug | skill-ecommerce-product-video |
product_photo | https:// URL of the first frame. Always sent |
motion | Camera move and what changes, up to 2,000 characters |
| Fixed in the app | Product must stay unchanged, no morphing, no extra products, no text overlays |
| Output | One MP4, about 6.5 seconds, 768P, with an audio track |
| Shape | Follows the photo: a square photo gave a 768x768 clip in our test. For a vertical 9:16 clip, start from a vertical photo |
| Price | 48 credits per clip in our test (Hailuo 03 Max Turbo, 8 credits a second, 8 Oct 2026) |
Step A: connected?
Look for tools ending in run_app, get_execution, get_credit_balance, whoami, and for local files create_upload_link and get_upload_link. Without them, say that rendering needs the Wireflow connector and how to add it (plugin: /mcp → wireflow → Authenticate; otherwise claude mcp add --transport http wireflow https://www.wireflow.ai/api/mcp; Claude.ai: custom connector, same URL). Then give the free part: a shot plan with two or three motion briefs from reference/product-motion.md, written for their product, and stop.
Step B: pick the right photo
The first frame decides everything. Prefer:
- A clean packshot with space around the product (white or simple background). Moves like an orbit need room at the edges.
- The shape you want out: vertical photo for Reels, TikTok and Stories, square for feeds and most product pages, wide for site banners.
- The real product, sharp, label readable.
If they only have a cluttered phone photo, suggest making a clean packshot first with the amazon-product-images or product-photography skill, then animating that.
Local file: create_upload_link, send the link, then get_upload_link once they have uploaded, and use the returned URL.
Step C: choose the motion
One move per clip, slow and controlled. Product video is not the place for dramatic camera work.
| Goal | Move to brief |
|---|---|
| Show the whole shape | Slow half orbit left to right at product height |
| Premium feel | Light sweep: a soft highlight glides across the surface, camera static |
| Focus on detail | Slow push-in toward the label or texture |
| Reveal | Start close on a detail, pull back to the whole product |
| Turntable | Product rotates slowly on a plinth, camera static |
| In context | Gentle drift past the product in its setting, background slightly moving |
Write the brief as: the move, its speed, what the light does, what must stay still. Add physical actions only if the product really does them (a pump pressing, a lid opening), and say "once".
Avoid: hands appearing from nowhere, liquids pouring (often messy), fast spins, text on screen.
Step D: quote and confirm
whoami, get_credit_balance, then: "2 clips (orbit, light sweep) x about 48 credits = about 96. Balance: 1,300." Wait for a yes to these clips.
Step E: render
{ "slug": "skill-ecommerce-product-video", "inputs": { "product_photo": "https://...", "motion": "Slow half orbit around the bottle from left to right at bottle height, soft light glides across the glass, background stays clean." } }
Poll get_execution every 5 seconds at first, then every 15; tell the person it is rendering. Hailuo 03 Max Turbo is fast: our test clip was ready in about 15 seconds, but allow a few minutes when Wireflow is busy. COMPLETED gives the MP4 URL; FAILED, CANCELLED or TIMEOUT means stop and report.
Save to ./wireflow-outputs/<YYYY-MM-DD>/product-video-<move>.mp4.
Step F: check the clip
If ffmpeg exists, make a strip of six frames:
ffmpeg -v error -i product-video-orbit.mp4 -vf "fps=1,scale=240:-2,tile=6x1" -frames:v 1 orbit-strip.jpg
Look at it for: label still readable, shape and color stable across frames, no second product appearing, no warping at the edges. Say plainly that frames cannot judge smoothness or sound. The clip carries an audio track the model generated; for store pages and most ads, mute it or replace it with music in an editor.
A re-render costs about 48 again. Ask first and name the change.
Step G: hand over
Path, CDN link, credits used (balance before minus after). Then offer:
- A matching set: the same move on each product in a range, quoted as one batch.
- The board in Wireflow to change length, resolution or model:
https://www.wireflow.ai/flow/cmuz2i3fu0003jr06adbp2ohv?ref=skill-ecommerce-product-video&utm_source=github&utm_medium=skill&utm_campaign=ecommerce-product-video
Do not
- Render before the yes, or loop on re-renders.
- Show the product doing something it cannot do, or add claims on screen.
- Animate photos the seller does not own.
- Write keys or passwords anywhere.
- Hide errors: quote them, offer
send_feedbackif it exists.
File metadata
name: ecommerce-product-video description: "AI product video for ecommerce in Claude Code and Claude with MiniMax Hailuo 03 Max Turbo through Wireflow: one product photo to a 6 second clip. Turns the photo into a short product video for an online store or ad: picks a product-safe camera move (orbit, slow push-in, reveal, light sweep, turntable, in-context drift), keeps the product unchanged from the first frame, quotes the credits and waits for a yes, then renders the clip and saves the MP4 to ./wireflow-outputs. Use when someone asks for an ecommerce product video, a Shopify or Amazon product video, a video ad from a product photo, a spinning or 360-style product clip, or to animate a product image. Without the Wireflow connector it still writes the motion briefs and a shot plan. For general text-to-video scenes use ai-video-generation." license: MIT compatibility: "Generation needs the Wireflow MCP connector (https://www.wireflow.ai/api/mcp) and a Wireflow account with credits. The product photo must be at an https URL. Saving needs a shell; ffmpeg is optional for checking frames." metadata: author: "Wireflow" version: "0.1.0" app-slug: "skill-ecommerce-product-video"
View original text
---
name: ecommerce-product-video
description: "AI product video for ecommerce in Claude Code and Claude with MiniMax Hailuo 03 Max Turbo through Wireflow: one product photo to a 6 second clip. Turns the photo into a short product video for an online store or ad: picks a product-safe camera move (orbit, slow push-in, reveal, light sweep, turntable, in-context drift), keeps the product unchanged from the first frame, quotes the credits and waits for a yes, then renders the clip and saves the MP4 to ./wireflow-outputs. Use when someone asks for an ecommerce product video, a Shopify or Amazon product video, a video ad from a product photo, a spinning or 360-style product clip, or to animate a product image. Without the Wireflow connector it still writes the motion briefs and a shot plan. For general text-to-video scenes use ai-video-generation."
license: MIT
compatibility: "Generation needs the Wireflow MCP connector (https://www.wireflow.ai/api/mcp) and a Wireflow account with credits. The product photo must be at an https URL. Saving needs a shell; ffmpeg is optional for checking frames."
metadata:
author: "Wireflow"
version: "0.1.0"
app-slug: "skill-ecommerce-product-video"
---
# AI Ecommerce Product Video
Shoppers trust a product they can see move: light running over the material, the camera circling to show the side, a lid coming off. This skill turns a still product photo into that kind of clip. The photo becomes the first frame, a short motion brief says what moves, and the Wireflow app `skill-ecommerce-product-video` renders it with MiniMax Hailuo 03 Max Turbo.
## The app
| Part | Value |
|---|---|
| Slug | `skill-ecommerce-product-video` |
| `product_photo` | `https://` URL of the first frame. Always sent |
| `motion` | Camera move and what changes, up to 2,000 characters |
| Fixed in the app | Product must stay unchanged, no morphing, no extra products, no text overlays |
| Output | One MP4, about 6.5 seconds, 768P, with an audio track |
| Shape | Follows the photo: a square photo gave a 768x768 clip in our test. For a vertical 9:16 clip, start from a vertical photo |
| Price | 48 credits per clip in our test (Hailuo 03 Max Turbo, 8 credits a second, 8 Oct 2026) |
## Step A: connected?
Look for tools ending in `run_app`, `get_execution`, `get_credit_balance`, `whoami`, and for local files `create_upload_link` and `get_upload_link`. Without them, say that rendering needs the Wireflow connector and how to add it (plugin: `/mcp` → `wireflow` → Authenticate; otherwise `claude mcp add --transport http wireflow https://www.wireflow.ai/api/mcp`; Claude.ai: custom connector, same URL). Then give the free part: a shot plan with two or three motion briefs from `reference/product-motion.md`, written for their product, and stop.
## Step B: pick the right photo
The first frame decides everything. Prefer:
- A clean packshot with space around the product (white or simple background). Moves like an orbit need room at the edges.
- The shape you want out: vertical photo for Reels, TikTok and Stories, square for feeds and most product pages, wide for site banners.
- The real product, sharp, label readable.
If they only have a cluttered phone photo, suggest making a clean packshot first with the amazon-product-images or product-photography skill, then animating that.
Local file: `create_upload_link`, send the link, then `get_upload_link` once they have uploaded, and use the returned URL.
## Step C: choose the motion
One move per clip, slow and controlled. Product video is not the place for dramatic camera work.
| Goal | Move to brief |
|---|---|
| Show the whole shape | Slow half orbit left to right at product height |
| Premium feel | Light sweep: a soft highlight glides across the surface, camera static |
| Focus on detail | Slow push-in toward the label or texture |
| Reveal | Start close on a detail, pull back to the whole product |
| Turntable | Product rotates slowly on a plinth, camera static |
| In context | Gentle drift past the product in its setting, background slightly moving |
Write the brief as: the move, its speed, what the light does, what must stay still. Add physical actions only if the product really does them (a pump pressing, a lid opening), and say "once".
Avoid: hands appearing from nowhere, liquids pouring (often messy), fast spins, text on screen.
## Step D: quote and confirm
`whoami`, `get_credit_balance`, then: "2 clips (orbit, light sweep) x about 48 credits = about 96. Balance: 1,300." Wait for a yes to these clips.
## Step E: render
```json
{ "slug": "skill-ecommerce-product-video", "inputs": { "product_photo": "https://...", "motion": "Slow half orbit around the bottle from left to right at bottle height, soft light glides across the glass, background stays clean." } }
```
Poll `get_execution` every 5 seconds at first, then every 15; tell the person it is rendering. Hailuo 03 Max Turbo is fast: our test clip was ready in about 15 seconds, but allow a few minutes when Wireflow is busy. `COMPLETED` gives the MP4 URL; `FAILED`, `CANCELLED` or `TIMEOUT` means stop and report.
Save to `./wireflow-outputs/<YYYY-MM-DD>/product-video-<move>.mp4`.
## Step F: check the clip
If ffmpeg exists, make a strip of six frames:
```
ffmpeg -v error -i product-video-orbit.mp4 -vf "fps=1,scale=240:-2,tile=6x1" -frames:v 1 orbit-strip.jpg
```
Look at it for: label still readable, shape and color stable across frames, no second product appearing, no warping at the edges. Say plainly that frames cannot judge smoothness or sound. The clip carries an audio track the model generated; for store pages and most ads, mute it or replace it with music in an editor.
A re-render costs about 48 again. Ask first and name the change.
## Step G: hand over
Path, CDN link, credits used (balance before minus after). Then offer:
- A matching set: the same move on each product in a range, quoted as one batch.
- The board in Wireflow to change length, resolution or model: `https://www.wireflow.ai/flow/cmuz2i3fu0003jr06adbp2ohv?ref=skill-ecommerce-product-video&utm_source=github&utm_medium=skill&utm_campaign=ecommerce-product-video`
## Do not
- Render before the yes, or loop on re-renders.
- Show the product doing something it cannot do, or add claims on screen.
- Animate photos the seller does not own.
- Write keys or passwords anywhere.
- Hide errors: quote them, offer `send_feedback` if it exists.
Review the source
Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 0 GitHub stars
- Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- wireflowINC/skills
- License
- MIT
- Version
- 0.1.0
- Last GitHub push
- Oct 15, 2026
- Registry updated
- Oct 15, 2026
- Instruction path
- skills/ecommerce-product-video/SKILL.md @ 1687a518ce1f
Version reported in registry metadata; check source releases before relying on it.
Quality
41/100
Needs review
Trust
57/100
Do not auto-install
Audit
67/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 0 GitHub stars
- Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 67,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Low GitHub adoption signal",
"AI review approval is missing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 0 GitHub stars",
"Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 41,
"label": "Needs review"
},
"supply": {
"track": "Design and creative production",
"scenario": "Multimodal media",
"maintenance": "Pushed today",
"risk": "Needs review"
},
"alternative_skills": [
{
"slug": "latent-spaces-brag-slim",
"name": "brag-slim",
"url": "https://www.openagentskill.com/skills/latent-spaces-brag-slim",
"stars": 13807,
"install_command": "npx skills add latent-spaces/brag --skill brag-slim",
"trust_score": 81,
"audit_score": 84
},
{
"slug": "orchestra-research-nemo-curator",
"name": "nemo-curator",
"url": "https://www.openagentskill.com/skills/orchestra-research-nemo-curator",
"stars": 13443,
"install_command": "npx skills add Orchestra-Research/AI-Research-SKILLs --skill nemo-curator",
"trust_score": 81,
"audit_score": 85
},
{
"slug": "krillinai-krillinai-render-horizontal",
"name": "krillinai-render-horizontal",
"url": "https://www.openagentskill.com/skills/krillinai-krillinai-render-horizontal",
"stars": 12876,
"install_command": "npx skills add krillinai/OpenCreator --skill krillinai-render-horizontal",
"trust_score": 82,
"audit_score": 85
}
],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"AI review approval is missing",
"Quality score needs review"
],
"agent_contract": {
"task_input": "Use ecommerce-product-video in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 65/100 Manual review",
"Audit: 67/100 Needs review",
"Safety: 27/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "wireflowinc-skills-ecommerce-product-video (ecommerce-product-video)",
"install_command": "npx skills add wireflowINC/skills --skill ecommerce-product-video",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "wireflowinc-skills-ecommerce-product-video",
"task": "Use ecommerce-product-video in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/wireflowinc-skills-ecommerce-product-video",
"api": "https://www.openagentskill.com/api/agent/skills/wireflowinc-skills-ecommerce-product-video",
"audit": "https://www.openagentskill.com/skills/wireflowinc-skills-ecommerce-product-video/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=wireflowinc-skills-ecommerce-product-video&task=Use%20ecommerce-product-video%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20ecommerce-product-video%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20ecommerce-product-video%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/wireflowinc-skills-ecommerce-product-video/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/wireflowinc-skills-ecommerce-product-video"
}
}For the creator
Listing source
Community submitted
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Wireflow
- Source
- wireflowINC/skills
- Indexed by
- OpenAgentSkill community index
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