Xhs Render Cards logo

Xhs Render Cards

OrganizationPopular
tsingyuai
xhs-render-cards

把已批准的小红书草稿、单一分析参考和真实产品素材变成可审查卡片:先完成 DAI 与 image plan,再按确定性、完整效果或可分离图层模式制作,机械验证 PNG 与清单并运行合规检查。精确文字和真实 UI 不交给模型猜测;AI 生图需要单独配置和授权。

Overview

Publishertsingyuai
Repositorygrowth-lab
Skill namexhs-render-cards
Stars
2K
Forks
170
Bundled files
14
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tsingyuai on GitHub. Read the source before you install it.

Installation

Install the Xhs Render Cards AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tsingyuai/growth-lab.git /tmp/growth-lab
mkdir -p .claude/skills
cp -r /tmp/growth-lab/executors/xhs-render-cards .claude/skills/xhs-render-cards
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xhs Render Cards in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Xhs Render Cards on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Xhs Render Cards is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Xiaohongshu card production

Read visual-production-contract.md, rendering.md, and visual-review-rubric.md. Keep DAI and compliance rules from deai.md and quality-gates.md.

Required inputs

Require before rendering:

  • approved draft, exact card copy, account role, reader, and one-sentence user value;
  • verified Product facts and Product-owned screenshots or brand assets;
  • one validated visual-reference-selection.json when external visual research is used;
  • output directory in the calling memory/xhs-replicate/ run;
  • target canvas, card count, rights/privacy boundaries, and whether paid image generation is approved.

The selected public reference is analysis-only. Learn hierarchy, proof-zone proportion, density, and reading rhythm; never copy its wording, logo, proprietary UI, exact composition, distinctive decoration, or full sequence. Rejected candidates contribute no visual rules.

1. Lock copy and evidence

Run DAI on title, caption, card copy, CTA, and tags. Every Product claim needs a current evidence source. Delete unsupported claims instead of weakening them with defensive filler.

Write image-plan.md using image-plan.md. Lock every visible string before rendering. Do not add cards merely to match the reference.

2. Capture real Product evidence

Use screenshot-assets for real Product UI, website, code, or data. Keep the original screenshot as evidence. Do not ask an image model to recreate Product UI, logos, citations, statistics, or source text and present it as real.

3. Choose one production mode

  • deterministic: HTML/CSS, Canvas, SVG, or Pillow owns layout and exact text. Preferred for Chinese copy, dense diagrams, real screenshots, and repeatable series.
  • separable-layer: the image model creates only a background, texture, or illustration without text/UI; deterministic rendering places approved copy and Product evidence.
  • complete-effect: the image model proposes a whole visual direction. Generated text, UI, logos, evidence, and sensitive claims must be replaced or the candidate rejected.

Image generation is optional and separately authorized. If neither OPENAI_API_KEY nor GEMINI_API_KEY is configured, show the user the exact steps in CONFIGURATION.md and offer deterministic rendering or a no-image handoff. Never silently retry or request a key in conversation.

4. Test a three-card vertical slice

Before expanding a large pack, render:

  1. hook/cover;
  2. independently useful method/checklist/comparison;
  3. real Product evidence when the content makes a Product claim.

Show the actual images in the conversation. A filesystem path alone is not a visual review. Check phone-size readability, hierarchy, Product truthfulness, privacy, and copying boundaries.

5. Validate and review

Create visual-manifest.json, then run:

powershell
python executors/xhs-render-cards/scripts/validate_social_card_pack.py --package <visual-package>

Run the existing DAI and compliance checks with make lint-post POST=<post-directory>. Inspect every final image at full size and as a contact sheet. Write visual-review.md with sources, selected mode, generated assets, replacement decisions, dimensions, privacy, copyright, factual and mobile-readability results.

Only reviewed files under render/ may enter the human publishing package. Rendering never authorizes upload or publication.

Stop rules

Stop on missing Product evidence, ambiguous rights, unreviewed reference selection, exposed private data, fake UI, malformed text, provider failure, or repeated candidate failure. One targeted retry may replace an explicitly authorized work-in-progress candidate; do not loop or create duplicate publishable assets.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Xhs Render Cards AI skill do?

把已批准的小红书草稿、单一分析参考和真实产品素材变成可审查卡片:先完成 DAI 与 image plan,再按确定性、完整效果或可分离图层模式制作,机械验证 PNG 与清单并运行合规检查。精确文字和真实 UI 不交给模型猜测;AI 生图需要单独配置和授权。

Why use Xhs Render Cards on TypingMind?

Because you install it once and use it with any model. Xhs Render Cards is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Xhs Render Cards in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tsingyuai/growth-lab/tree/main/executors/xhs-render-cards. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Xhs Render Cards?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Xhs Render Cards?

As many as you like. As long as a model supports skills, you can use Xhs Render Cards with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Xhs Render Cards AI skill free?

Yes. It is published on GitHub by tsingyuai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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