Creator · op7418
Last updated · Sep 2, 2026
🪧 Claude Code / Codex skill — generate Xiaohongshu carousels & WeChat 21:9+1:1 cover pairs. Editorial × Swiss visual systems, 28 layouts, 10 themes, single-file HTML → PNG. 小红书图文 + 公众号封面对
Review then install
Install targets
Codex install prompt
Install the "Guizang Social Card Skill" agent skill from https://github.com/op7418/guizang-social-card-skill/blob/main/SKILL.md. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 🪧 Claude Code / Codex skill — generate Xiaohongshu carousels & WeChat 21:9+1:1 cover pairs. Editorial × Swiss visual systems, 28 layouts, 10 themes, single-file HTML → PNG. 小红书图文 + 公众号封面对 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"op7418-guizang-social-card-skill","task":"Install Guizang Social Card Skill","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + Browser agents
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add op7418/guizang-social-card-skill
Maintenance
active
2mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
6.8K
100/100 Quality · 89/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
6.8K GitHub stars
Repo activity
6.8K stars, 540 forks
Maintenance
2mo since push
License
AGPL-3.0
Install
npx skills add op7418/guizang-social-card-skill
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add op7418/guizang-social-card-skillDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20Guizang%20Social%20Card%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Guizang%20Social%20Card%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/op7418-guizang-social-card-skill/install
Agent should check
Copy prompt
Task: Use Guizang Social Card Skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Guizang%20Social%20Card%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/op7418-guizang-social-card-skill/install
Install command: npx skills add op7418/guizang-social-card-skill
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/op7418-guizang-social-card-skill/install
LLM text format
/api/skills/op7418-guizang-social-card-skill/install?format=text
Find alternatives
/api/skills/search?q=Guizang%20Social%20Card%20Skill&limit=3
Agent prompt
Use Guizang Social Card Skill for this task. Review https://www.openagentskill.com/api/skills/op7418-guizang-social-card-skill/install, then install with: npx skills add op7418/guizang-social-card-skillRegistry metadata
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.
Manifest
/api/registry/manifest/op7418-guizang-social-card-skill
LLM text
/api/registry/manifest/op7418-guizang-social-card-skill?format=text
Install alias
/api/registry/install/op7418-guizang-social-card-skill
Recommend
/api/registry/recommend?task=Use%20Guizang%20Social%20Card%20Skill%20in%20an%20agent%20workflow&limit=3
Agent fit
Video creation
Use-case tags
Platforms
HTML, Claude Code, OpenAI Agents, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Video creation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS6.8K GitHub stars
Stars/forks activity
PASS6.8K stars, 540 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSAGPL-3.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Plan, generate, and review video
I need my agent to turn a topic or product into a short video, generate B-roll, write video prompts, and prepare a publish-ready cut.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
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Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
--- name: guizang-social-card-skill description: Generate Guizang-style social card image sets, Live Photo motion cards, material-first Live Photo puzzle layouts, triple Live Photo collages, long-video-to-Live-Photo treatments, and WeChat official account cover pairs from articles, scripts, screenshots, product notes, subtitles, photos, or user-supplied videos. Use when the user asks for 小红书图文, Rednote/Xiaohongshu images, social cards, carousel images, 3:4 covers, Live Photo, 实况照片, 单视频实况拼图, 二宫格实况拼图, 三连实况拼图, 四宫格实况拼图, 微信公众号封面, WeChat 21:9 + 1:1 covers, Swiss Style, or magazine-style social images. ---
# Guizang Social Card Skill
Create polished social card packages for Xiaohongshu/Rednote, WeChat Official Account, article covers, and platform thumbnails.
This skill is self-contained. It borrows visual principles from the Guizang PPT style system, but it must not edit the original PPT skill, its templates, or its references. If the original PPT skill is available, you may read it for reference only.
Generated work must live in a task folder, not in the skill root. Default to `local-tests/<slug>/` inside this repository, or use the explicit output folder requested by the user. Do not create root-level task folders such as `social-card-*`, `livephoto-*`, `wechat-*`, `output/`, or loose rendered assets next to `SKILL.md`.
## What To Produce
Use this skill for:
- Social card / carousel image sets: cover plus content pages, especially Xiaohongshu/Rednote 3:4. - Short Live Photo motion cards when the user asks for Live Photo / 实况照片 and supplies video evidence or screen recordings. - Material-first Live Photo puzzle layouts when the user has high-quality video assets and wants single-video, two-grid, three-grid, or four-grid motion cards with little or no added text. - Triple Live Photo collages when the user has three short videos, three results, three viewpoints, or a high-information comparison that should stay inside one image-card unit. - Long-video intake for Live Photo: diagnose whether to trim, speed up, split into a triple collage, or ask the user for a specific time range before rendering. - WeChat Official Account cover pairs: one `21:9` main cover plus one `1:1` square cover, composed together in the same HTML for visual checking. - Screenshot-heavy product posts, article covers, tutorial carousels, outdoor/lifestyle notes, AI/product update explainers. - Social images that need Guizang-style Swiss or editorial magazine layouts.
Do not use this skill for:
- Full slide decks or horizontal PPT websites. Use the PPT skill for that. - Long-form video generation. Use a video skill for that. This skill only supports short, layout-bound Live Photo cards that replace a still image slot with video. - Pure image editing with no layout or article extraction requirement.
### Rednote Category Capability (capability circle)
The 11 most-common Rednote (小红书) categories fall into three buckets. See `references/category-cookbook.md` for the recipe-by-recipe routing.
**Strong end-to-end** (text, structure, and image story all in scope):
- 旅行 (Travel), 职场 (Workplace), 推荐 (Recommended, after specifying a subtype).
**Strong on text & structure; image needs to come from the user or a sourced library:**
- 游戏 (Game), 影视 (Film/TV), 美食 食谱方向 (Food — recipes only), 彩妆 教程方向 (Makeup — tutorials only), 健身 (Fitness), 家居 (Home), 穿搭 精选方向 (Outfit — capsule/essay only).
**Outside scope — push back honestly rather than promise a result:**
- 美食 菜品大片摆盘 (food-photography showcase). - 穿搭 日常 OOTD 全身 (daily OOTD body shots; we cannot generate or simulate). - 情感 梦核 / 氛围感装饰风 (dreamcore / aesthetic-light styling — clashes with both Editorial and Swiss). - Y2K / 千禧辣妹 / 哥特萝莉 / kawaii decorated aesthetics. - Pure photography showcase posts where the image is the entire deliverable.
When a request falls in the third bucket, name what we cannot do at intake — do not silently retrofit a layout that misses the user's intent.
## Core Principle
Expression comes first. The goal is not to squeeze text into posters; it is to turn the source into a clear visual argument.
For each page, decide:
- What should the viewer understand in one glance? - What evidence, screenshot, or image supports it? - Which words must be large, and which can become captions or metadata? - What can be removed because it belongs in the post body, not the image?
## Required References
Read these files as needed:
- `references/platform-specs.md` for exact ratios, output sizes, and naming. - `references/style-system.md` for Guizang editorial and Swiss visual rules. - `references/theme-presets.md` when choosing electronic-magazine palettes or Swiss accent palettes. - `references/layout-recipes.md` when selecting carousel/social-card/WeChat page structures. - `references/components.md` for the shared component spec: font stacks, type scale, minimum readable sizes, Chinese title length bands, Swiss card-fill mutual-exclusion rule, image-container ratio classes, spacing tokens, and Lucide icon rules. - `references/background-systems.md` when building electronic-magazine WebGL/ink/paper backgrounds. - `references/portrait-fill.md` when adapting layouts to 3:4 and avoiding under-filled vertical space. - `references/content-planning.md` for cover hooks, page breakdown, and copy compression. - `references/production-workflow.md` for HTML/CSS rendering and image handling. - `references/live-photo-production.md` when the user asks for Live Photo / 实况照片 / 三连实况拼图, supplies video assets for a social card, or wants Xiaohongshu / WeChat motion-card delivery. It covers information budget, single vs triple Live Photo, long-video intake, and platform publishing reminders. - `references/image-overlay.md` whenever text sits on top of a photo: photo qualification, localized tint fallback, and face / subject avoidance via multimodal subject mapping. - `references/screenshot-treatment.md` when the user supplies an app / web / code / dashboard screenshot — picks `.frame-shot` over `.frame-img`, sets corners/shadow/bg/inset, decides on `.device-browser` or `.device-phone` chrome. - `references/map-component.md` when the content has spatial relationships (travel route, store locations, walking tour) — real routes default to Mapbox Static or OSM static tiles; schematic SVG is only for conceptual / illustrative maps. Pins are HTML overlays; never use live JS maps. - `references/title-shortener.md` when the task is a WeChat 21:9+1:1 cover pair, or any cross-platform reuse — derives the 1:1 short title from the long one (5-step extraction, 4 patterns, anti-patterns, sizing on `.poster.square`). - `references/category-cookbook.md` to route a user-named Rednote category (旅行 / 职场 / 游戏 / 影视 / 彩妆 / 美食 / 穿搭 / 家居 / 健身 / 情感 / 推荐) to applicable recipes and to confirm scope. - `references/qa-checklist.md` before delivering final images.
## Workflow
### 1. Intake
Gather only the missing information that changes the output:
- Target platforms and ratios. - Source text, subtitles, article, or title. - **Rednote category** — if the user names one of the 11 common types (旅行 / 职场 / 游戏 / 影视 / 美食 / 彩妆 / 穿搭 / 家居 / 健身 / 情感 / 推荐), route via `references/category-cookbook.md` to find the right recipes and to confirm the request is inside the capability circle (see "Rednote Category Capability" above). If a request lands in the outside-scope bucket, surface that to the user **before** designing, do not silently retrofit. - Supplied images/screenshots and where each should appear. **For News / Tutorial / Data / Review content, actively prompt for screenshots or photos** — they are the evidence layer. A poster with no real artifact tends to read as filler. - Supplied video assets, if the user asks for Live Photo. Treat user-provided video as the normal path; web-sourced free video is only for demo/promo cases or when the user explicitly asks for sourced material. Confirm the target platform because duration differs: Xiaohongshu supports `5s`; WeChat Official Account Live Photo should stay at `3s` and must be uploaded from iPhone. Before cutting, read `references/live-photo-production.md` and classify the request as single Live Photo, triple collage, or long-video intake. If the source is too long or contains multiple usable moments, do a low-cost diagnosis first, then ask once whether to trim, speed up, split into multiple wells, or use a user-specified time range. If the source is shorter than the target duration, ask whether to provide a longer clip, accept a shorter Live Photo, or explicitly allow a hold/slowdown. If the important focus is ambiguous, suggest possible crop/enlarge options but let the user decide before executing. - **If the user supplies only text (no images at all), ask once before designing:**
``` 这篇我需要 1-2 张图。三种走法: A. 你自己有照片 / 截图,传给我(推荐——最不"AI 感") B. 我去 Pexels / Unsplash / Flickr 帮你找 C. 用 AI 生成 ```
Recommend A in one line — your own photo is what makes a poster not look AI-generated. Accept whatever the user picks (including "都行你看着办") and proceed. **Do not re-prompt later, do not keep nudging toward A across multiple turns.** This question is one-shot. - Preferred style if specified: Swiss Style, magazine/editorial, tech, outdoor, etc. - Hard constraints: title text, no image on 1:1 cover, must include a hardware photo, keep screenshot readable, and so on.
If the user has already supplied enough context, proceed with reasonable assumptions.
If the content involves current product releases, policies, prices, claims, or news, verify unstable facts with browsing and cite sources in the final response.
### 2. Extract The Story
Turn the source into a page plan before designing.
For Rednote:
- Page 1 is the cover hook. - Pages 2-N each carry one idea only. - Use 5-9 pages for most posts. Compress or combine pages when lower areas become empty. - Keep the post body for nuance; images should carry hooks, comparisons, checklists, and sharp takeaways.
For WeChat:
- Always produce a paired system: `21:9` main cover and `1:1` square cover. - Build both covers in the same HTML file and add a combined preview section so their visual relationship can be checked together. - `21:9` keeps the full or near-full title, subtitle, and one strong visual relation. - `1:1` uses a simplified short title derived from the long title: big centered type, no image by default, no cramped subtitles.
### 3. Choose Style Mode
Pick one mode per package. **The two systems are not bound to specific content types** — what changes is the visual stance, not which topic you can talk about. A workplace essay can be Editorial; a travel ledger can be Swiss. Pick by the feeling you want, not by category lookup.
**Editorial Magazine x E-ink** brings:
- Serif/Songti display + quiet sans body, paper + ink palette. - Atmosphere layer (paper grain / ink wash / WebGL canvas) over a warm paper base. - Ledger rows, marginalia, pull quotes, large photo wells — magazine-feature feel. - Best when you want the page to feel slow, considered, hand-set.
**Swiss International** brings:
- Inter / Helvetica feel, very light display at large sizes, mono labels at small. - Strict left-aligned grid, hairline rules, one high-saturation accent. - Card-fill matrices, KPI towers, h-bar charts, numbered statements — system / data feel. - Best when you want the page to feel engineered, quantified, decisive.
If both feel viable for a piece of content, the question becomes editorial intent: "is this a feature story or a release note?" That decides the mode, not the topic itself.
Do not mix the two visual systems inside the same image set unless the user explicitly asks for a hybrid.
Then pick one theme:
- Editorial Magazine x E-ink uses one of 6 magazine palettes: Ink Classic, Indigo Porcelain, Forest Ink, Kraft Paper, Dune, or Midnight Ink (the only dark variant; reserved for game key art / night photography / cinematic covers). - Swiss International uses one of 4 accent palettes: IKB Blue, Lemon Y
Source provenance
Frameworks & tools
Decision snapshot
6,774 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Guizang Social Card Skill, ready for a manual X post.
Guizang Social Card Skill: 🪧 Claude Code / Codex skill — generate Xiaohongshu carousels & WeChat 21:9+1:1 cover pairs.... 6.8K stars https://www.openagentskill.com/skills/op7418-guizang-social-card-skill?ref=x
Listing + install path for Guizang Social Card Skill: https://www.openagentskill.com/skills/op7418-guizang-social-card-skill?ref=x Install: npx skills add op7418/guizang-social-card-skill
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Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness