TopRank Skills

Home / Claw Skills / Autres / fashion-colorize-shell
Official OpenClaw rules 15%

fashion-colorize-shell

Convert apparel sketches into ecommerce-ready colorized shell-jacket renders. Use when users provide garment line art and ask for realistic colorized outputs (especially womens outdoor shell/hardshell), structure-preserving edits, or iterative visual refinements.

Stars

0

Installs

0

Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 fashion-colorize-shell 技能。 若已安装,则直接安装 fashion-colorize-shell 技能。

Overview

Skill Key
bananooo-zhang/fashion-colorize-shell
Author
bananooo-zhang
Source Repo
openclaw/skills
Version
-
Source Path
skills/bananooo-zhang/fashion-colorize-shell
Latest Commit SHA
053368b356cd576b9a3dd337346e37f3d8f1fa26

Extracted Content

SKILL.md excerpt

# Fashion Colorize Shell

## Overview

Generate "line sketch -> realistic product render" outputs for outdoor shell jackets.
This skill keeps sketch structure while applying a product-shot style (single garment, front view, white background, realistic hardshell material).

## Workflow

1. Collect inputs:
   - Required: sketch image path
   - Required: brief text (material, color, fit, key design intent)
   - Optional: style reference image path
2. Run the local script:
   - `uv run {baseDir}/scripts/run_colorize.py --sketch "<path>" --brief "<text>" --output-dir "<dir>" [--style-ref "<path>"] [--count 3]`
3. Return generated file paths.
4. For revisions, keep previous output as style input and add explicit changes in `--brief`.

## Input Guidance

- Good brief example:
  - `三层压胶硬壳材质,凯乐石薄荷绿,女性剪裁,强调胸前斜插袋和袖口调节。`
- If the user wants "technical flats", do not use this skill's default product-shot look. Ask whether they want a separate technical drawing workflow.

## Output Rules

- Default output is ecommerce-like product render:
  - Single garment
  - Front view
  - White background
  - No model, no scene, no text overlays
- Preserve key lines from sketch:
  - Hood shape
  - Center-front zipper/placket logic
  - Pocket placement direction
  - Cuff and hem adjustment zones

## Fixed Runtime Defaults

- API base URL: `https://models.kapon.cloud`
- Model preference: `gemini-3-pro-image-preview-2k` (auto-fallback to `gemini-3-pro-image-preview` if upstream fails)
- API key is never embedded in this skill. User must provide `GEMINI_API_KEY` in environment.

## Additional Reference

- See [references/prompt-structure.md](references/prompt-structure.md) for the internal prompt skeleton and revision strategy.

Related Claw Skills

capt-marbles

Task Router Skill

★ 0

Task Router

captchasco

captchas-openclaw

★ 0

OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.

carol-gutianle

Modelready

★ 0

name: modelready description: Start using a local or Hugging Face model instantly, directly from chat. metadata: {"openclaw":{"requires":{"bins": "bash", "curl" }, "env": "URL" }}

cartoonitunes

Ethereum History

★ 0

Read-only factual data about historical Ethereum mainnet contracts. Use when the user asks about a specific contract address, early Ethereum contracts, deployment era, deployer, bytecode, decompiled code, or documented history (what a contract is and is not). Data is non-opinionated and includes runtime bytecode, decompiled code, and editorial history when available. Base URL https://ethereumhistory.com (or set BASE_URL for local/staging).

cassh100k

agent-dna

★ 0

Portable agent identity encoding. Compress SOUL.md/MEMORY.md into transferable DNA fingerprints, detect identity drift between snapshots, and port personality across platforms (OpenClaw, Claude, GPT, CrewAI). Pure Python, zero dependencies. Use when migrating agents between platforms, detecting personality drift, or backing up agent identity.

camopel

storage-cleanup

★ 0

One-command disk cleanup for macOS and Linux — trash, caches, temp files, old kernels, snap revisions, Homebrew, Docker, and Xcode artifacts. Use when user asks to free storage, clean up disk, reclaim space, reduce disk usage, or encounters low disk / "disk full" warnings. Safe by default with dry-run mode. No dependencies beyond bash and awk.