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。
npx skills add tsingyuai/growth-lab --skill xhs-render-cards --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Xiaohongshu card production Read [visual-production-contract.md](references/visual-production-contract.md), [rendering.md](references/rendering.md), and [visual-review-rubric.md](references/visual-review-rubric.md). Keep DAI and compliance rules from [deai.md](references/deai.md) and [quality-gates.md](references/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.
- Required inputs
- 1. Lock copy and evidence
- 2. Capture real Product evidence
- 3. Choose one production mode
- 4. Test a three-card vertical slice
- 5. Validate and review
- Stop rules
What does the xhs-render-cards 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。
How do I install it?
Run `npx skills add tsingyuai/growth-lab --skill xhs-render-cards --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From tsingyuai/growth-lab, a repository with 427 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.