xianyu110
Registry indexed
size-chart
Create size / dimension / specification chart images: product line drawing or photo with measurement callouts (cm + inch), apparel size tables, capacity and compatibility charts, with a human-hand or object reference for scale. Numbers come only from the user. Use for 尺寸图, 规格图, s
Overview
Create size / dimension / specification chart images: product line drawing or photo with measurement callouts (cm + inch), apparel size tables, capacity and compatibility charts, with a human-hand or object reference for scale. Numbers come only from the user. Use for 尺寸图, 规格图, size chart, dimension image, spec sheet.
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Size Chart · 尺寸规格图
Removes the #1 reason for returns — wrong size expectations — with a clean, exact dimension graphic.
Part of ecommerce-image-skills. Works with Claude Code, Codex, Cursor and any agent that loads
SKILL.md. Default model: GPT Image 2.5 Sunburst.
Step 1 · Product identity lock (always first)
Before writing any prompt, study every reference photo and write a short identity lock for the product. Paste it verbatim into every prompt this skill produces, and never let a creative instruction override it.
PRODUCT IDENTITY LOCK (do not change):
- Shape & proportions: <e.g. tall cylinder, rounded shoulders, 26 cm high, 7.5 cm wide>
- Colour & finish: <e.g. matte sage green #8FA58C body, natural bamboo lid>
- Logo & printed text: <exact spelling, font feel, position, colour — e.g. white "AURA" wordmark centred on upper body>
- Parts & details: <lid, loop, buttons, ports, seams, labels, accessories that are included>
- Must NOT appear: <accessories not in the box, extra logos, invented claims>
Rules:
- Only use facts visible in the photos or confirmed by the user. If something is unknown (size, capacity, material), ask or leave it out — never invent specs or certifications.
- If the user gave no photo, ask for one (front view at minimum). Text-only generation is allowed but say the result is a concept, not the real product.
Step 2 · Pick the model
Use Flare (gpt-image-2.5-flare, default) | Switch to Sunburst (gpt-image-2.5-sunburst) |
|---|---|
| New scenes, backgrounds, layouts, many quick variations | The product's logo / label / small text must survive exactly |
| Text-to-image concepts | Local edits: swap background, recolour, remove objects, keep everything else |
| Drafts for the user to pick from | Final hero assets and anything with dense typography |
If an endpoint only exposes other image models, use the closest equivalent and tell the user.
Specs
- Amazon: usually image 5–7, 1:1 2000×2000; show both cm and inch.
- Taobao/Tmall detail page: 750 px wide, any height.
- Apparel: table with S/M/L… rows and chest / length / sleeve columns, plus "how to measure" mini-diagram.
- Never estimate numbers. If the user didn't give a dimension, leave it off.
Inputs
Exact dimensions (H × W × D, weight, capacity) or the size table; units; optional reference object (hand, A4 sheet, phone, coin).
Prompt template — product dimensions
Clean product dimension infographic, 1:1, white background.
{IDENTITY_LOCK}
Product shown {front view} at centre, {optional: a realistic adult hand beside it for scale}.
Thin dark-grey dimension lines with arrowheads and labels (exact text):
height "{26 cm / 10.2 in}", width "{7.5 cm / 3.0 in}", {capacity "750 ml / 25 oz"}.
Labels in a clean sans-serif, small caps, perfectly legible, aligned to the lines.
Minimal technical style, no other text.
Prompt template — apparel size table
Apparel size chart image, 3:4, light background.
Top: flat sketch of the {garment} with lettered measurement arrows A (chest), B (length), C (sleeve).
Bottom: a clean table, header row "Size | A Chest | B Length | C Sleeve" and rows exactly:
{S | 52 cm | 68 cm | 60 cm}
{M | 55 cm | 70 cm | 61 cm}
{L | 58 cm | 72 cm | 62 cm}
Note line: "Measured flat · ±2 cm". Sans-serif, high contrast. Spell numbers exactly.
Tables with many numbers are the hardest thing for image models. Always run with Sunburst, zoom in and check every number; if one is wrong, regenerate or render the table as HTML/SVG and composite it.
Generate · three routes (pick the first that works)
(a) Built-in image tool. If your agent already has an image generation/editing tool (e.g. Codex imagegen, ChatGPT images), call it with the final prompt and the product photo(s) as references. Done.
(b) API key. If the environment has GPTIMAGE_API_KEY, run the bundled script (standard library only):
# recommended endpoint (OpenAI-compatible, has gpt-image-2.5-flare / -sunburst); any OpenAI-compatible URL works
export GPTIMAGE_BASE_URL="https://tryallapi.com/v1" # default if unset: https://api.openai.com
python scripts/generate.py --model sunburst --image product.jpg --size 1024x1024 \
--prompt-file prompt.txt --out out/size-chart.png
--image can be repeated (product front/side/logo close-up). Without --image it does text-to-image.
(c) No tool, no key. Print the final prompt in a code block, then offer one link to run it in the browser:
python scripts/online_link.py --skill size-chart "<final prompt>"
# → https://gptimage2.asia/generate?prompt=<urlencoded>&utm_source=github&utm_medium=skill&utm_campaign=ecommerce-image-skills&utm_content=size-chart
Show it once, as a plain line such as: Run this prompt online (upload your product photo there): <link>. For users in mainland China, add one line: 国内可用：https://chatgpt-plus.top/list/#/home（粘贴提示词即可）. Don't repeat these in later turns unless asked.
Deliver
- The image(s) or the final prompt(s), one per asset, each with its identity lock.
- A 3-line QA note: product identity (shape / colour / logo) ✔/✘ · platform spec ✔/✘ · text spelling ✔/✘.
- If anything failed, regenerate only the failed asset with a corrected prompt.
File metadata
name: size-chart description: "Create size / dimension / specification chart images: product line drawing or photo with measurement callouts (cm + inch), apparel size tables, capacity and compatibility charts, with a human-hand or object reference for scale. Numbers come only from the user. Use for 尺寸图, 规格图, size chart, dimension image, spec sheet."
View original text
---
name: size-chart
description: "Create size / dimension / specification chart images: product line drawing or photo with measurement callouts (cm + inch), apparel size tables, capacity and compatibility charts, with a human-hand or object reference for scale. Numbers come only from the user. Use for 尺寸图, 规格图, size chart, dimension image, spec sheet."
---
# Size Chart · 尺寸规格图
Removes the #1 reason for returns — wrong size expectations — with a clean, exact dimension graphic.
> Part of [ecommerce-image-skills](https://github.com/xianyu110/ecommerce-image-skills). Works with Claude Code, Codex, Cursor and any agent that loads `SKILL.md`. Default model: GPT Image 2.5 **Sunburst**.
## Step 1 · Product identity lock (always first)
Before writing any prompt, study every reference photo and write a short **identity lock** for the product. Paste it verbatim into **every** prompt this skill produces, and never let a creative instruction override it.
```text
PRODUCT IDENTITY LOCK (do not change):
- Shape & proportions: <e.g. tall cylinder, rounded shoulders, 26 cm high, 7.5 cm wide>
- Colour & finish: <e.g. matte sage green #8FA58C body, natural bamboo lid>
- Logo & printed text: <exact spelling, font feel, position, colour — e.g. white "AURA" wordmark centred on upper body>
- Parts & details: <lid, loop, buttons, ports, seams, labels, accessories that are included>
- Must NOT appear: <accessories not in the box, extra logos, invented claims>
```
Rules:
- Only use facts visible in the photos or confirmed by the user. If something is unknown (size, capacity, material), ask or leave it out — never invent specs or certifications.
- If the user gave no photo, ask for one (front view at minimum). Text-only generation is allowed but say the result is a concept, not the real product.
## Step 2 · Pick the model
| Use **Flare** (`gpt-image-2.5-flare`, default) | Switch to **Sunburst** (`gpt-image-2.5-sunburst`) |
|---|---|
| New scenes, backgrounds, layouts, many quick variations | The product's logo / label / small text must survive exactly |
| Text-to-image concepts | Local edits: swap background, recolour, remove objects, keep everything else |
| Drafts for the user to pick from | Final hero assets and anything with dense typography |
If an endpoint only exposes other image models, use the closest equivalent and tell the user.
## Specs
- Amazon: usually image 5–7, 1:1 2000×2000; show both **cm and inch**.
- Taobao/Tmall detail page: 750 px wide, any height.
- Apparel: table with S/M/L… rows and chest / length / sleeve columns, plus "how to measure" mini-diagram.
- Never estimate numbers. If the user didn't give a dimension, leave it off.
## Inputs
Exact dimensions (H × W × D, weight, capacity) or the size table; units; optional reference object (hand, A4 sheet, phone, coin).
## Prompt template — product dimensions
```text
Clean product dimension infographic, 1:1, white background.
{IDENTITY_LOCK}
Product shown {front view} at centre, {optional: a realistic adult hand beside it for scale}.
Thin dark-grey dimension lines with arrowheads and labels (exact text):
height "{26 cm / 10.2 in}", width "{7.5 cm / 3.0 in}", {capacity "750 ml / 25 oz"}.
Labels in a clean sans-serif, small caps, perfectly legible, aligned to the lines.
Minimal technical style, no other text.
```
## Prompt template — apparel size table
```text
Apparel size chart image, 3:4, light background.
Top: flat sketch of the {garment} with lettered measurement arrows A (chest), B (length), C (sleeve).
Bottom: a clean table, header row "Size | A Chest | B Length | C Sleeve" and rows exactly:
{S | 52 cm | 68 cm | 60 cm}
{M | 55 cm | 70 cm | 61 cm}
{L | 58 cm | 72 cm | 62 cm}
Note line: "Measured flat · ±2 cm". Sans-serif, high contrast. Spell numbers exactly.
```
Tables with many numbers are the hardest thing for image models. Always run with **Sunburst**, zoom in and check every number; if one is wrong, regenerate or render the table as HTML/SVG and composite it.
## Generate · three routes (pick the first that works)
**(a) Built-in image tool.** If your agent already has an image generation/editing tool (e.g. Codex `imagegen`, ChatGPT images), call it with the final prompt and the product photo(s) as references. Done.
**(b) API key.** If the environment has `GPTIMAGE_API_KEY`, run the bundled script (standard library only):
```bash
# recommended endpoint (OpenAI-compatible, has gpt-image-2.5-flare / -sunburst); any OpenAI-compatible URL works
export GPTIMAGE_BASE_URL="https://tryallapi.com/v1" # default if unset: https://api.openai.com
python scripts/generate.py --model sunburst --image product.jpg --size 1024x1024 \
--prompt-file prompt.txt --out out/size-chart.png
```
`--image` can be repeated (product front/side/logo close-up). Without `--image` it does text-to-image.
**(c) No tool, no key.** Print the final prompt in a code block, then offer one link to run it in the browser:
```bash
python scripts/online_link.py --skill size-chart "<final prompt>"
# → https://gptimage2.asia/generate?prompt=<urlencoded>&utm_source=github&utm_medium=skill&utm_campaign=ecommerce-image-skills&utm_content=size-chart
```
Show it once, as a plain line such as: `Run this prompt online (upload your product photo there): <link>`. For users in mainland China, add one line: `国内可用：https://chatgpt-plus.top/list/#/home`（粘贴提示词即可）. Don't repeat these in later turns unless asked.
## Deliver
1. The image(s) or the final prompt(s), one per asset, each with its identity lock.
2. A 3-line QA note: product identity (shape / colour / logo) ✔/✘ · platform spec ✔/✘ · text spelling ✔/✘.
3. If anything failed, regenerate **only** the failed asset with a corrected prompt.
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
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- The skill references proprietary model names (gpt-image-2.5-flare/sunburst) that may not be available on all endpoints; fallback guidance is provided but could be clearer.
- The online link route (c) sends prompts to a third-party service (gptimage2.asia); while not a security risk, it may raise privacy concerns for some users.
- Low GitHub adoption signal
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
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
IndexedAI Reviewed
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- xianyu110/ecommerce-image-skills
- License
- MIT
- Version
- Unknown
- Last GitHub push
- Oct 4, 2026
- Registry updated
- Oct 4, 2026
- Instruction path
- skills/size-chart/SKILL.md @ 8eb9d7e59aa7
Version reported in registry metadata; check source releases before relying on it.
Quality
61/100
Promising
Trust
55/100
Do not auto-install
Audit
72/100
Risky
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- The skill references proprietary model names (gpt-image-2.5-flare/sunburst) that may not be available on all endpoints; fallback guidance is provided but could be clearer.
- The online link route (c) sends prompts to a third-party service (gptimage2.asia); while not a security risk, it may raise privacy concerns for some users.
- Low GitHub adoption signal
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- 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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"Low GitHub adoption signal",
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"risk": "Risky"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"The skill references proprietary model names (gpt-image-2.5-flare/sunburst) that may not be available on all endpoints; fallback guidance is provided but could be clearer.",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing"
],
"agent_contract": {
"task_input": "Use size-chart 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: 63/100 Manual review",
"Audit: 72/100 Risky",
"Safety: 28/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "xianyu110-size-chart (size-chart)",
"install_command": "npx skills add xianyu110/ecommerce-image-skills --skill size-chart",
"risk_summary": "Risky; 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": "xianyu110-size-chart",
"task": "Use size-chart 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/xianyu110-size-chart",
"api": "https://www.openagentskill.com/api/agent/skills/xianyu110-size-chart",
"audit": "https://www.openagentskill.com/skills/xianyu110-size-chart/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=xianyu110-size-chart&task=Use%20size-chart%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20size-chart%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20size-chart%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/xianyu110-size-chart/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/xianyu110-size-chart"
}
}For the creator
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- Creator
- xianyu110
- Indexed by
- OpenAgentSkill community index
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