An Agent Skills compatible skill that interprets Lenormand card readings from Stargazer's Oracle. Works with any AI agent that supports the Agent Skills open standard — not tied to a specific platform.
Paste a Stargazer prompt → get a full interpretation, saved as structured data, rendered into beautiful Kami-styled A4 PDFs, interactive web pages, or 1080×1440 social cards.
Every product shares a unified visual language inspired by two sources:
- Kami — warm parchment background (#f5f4ed), ink-blue accent (#1B365D), Chiron Sung HK serif typography. Clean, literary, minimal.
- Geometric Silence — a custom 36-card Lenormand deck in architectural blueprint style. Muted sage green (#7A8B7A) linework on cream (#F5F0E8), with dusty rose (#C4A0A0) accents. Swiss International Style meets scientific specimen plates. No mystical ornament — pure geometric abstraction.
Together they create a reading experience that feels scholarly, warm, and quietly beautiful.
- 6 spread types: 1-card Yes/No · 2-card pair · 3-card linear · 5-card linear · 9-card Box Spread (3×3) · A-or-B choice
- Bilingual: Auto-detects Chinese or English prompts; all output matches the prompt language
- Combination-first reading: Systematic combination methodology — adjacent card pair chains with modifier type system (Noun+Modifier model). Each card modifies its neighbor according to its modifier type; 8 negative modifiers automatically darken the tone. Neutral, honest, no empty reassurance.
- 4 product types from one reading: A4 PDF (default) · self-contained web page · 1080×1440 social card carousel · full-page PNG long image
- Persistent readings: Saved as structured JSON + human-readable Markdown; regenerate into any product format anytime
- Seed-based HTML: Copy + fill HTML skeletons — no fragile from-scratch construction
- Geometric Silence deck: 36 original SVG cards in architectural blueprint style
- Chiron font pair: Chiron Sung HK (昭源宋體) serif + Chiron Hei HK (昭源黑體) sans, loaded from Google Fonts CDN with CN mirror fallback
| Product | Spread | Cards | Link |
|---|---|---|---|
| Live Demo | 3-Card Daily | Paste → Prompt → Preview → Download | Demo |
| A4 PDF | 5-Card | 月亮 → 棺材 → 樹 → 雲 → 男人 | |
| A4 PDF | A-or-B (EN) | Ship·Bear vs Mountain·Ring·Book | |
| Social Card | 3-Card Daily | All 4 carousel pages | P1 · P2 · P3 · P4 |
Tell your agent:
Install the stargazer-interpreter skill from GitHub: github.com/locoda/stargazer-interpreter
Or clone manually into your agent's skills directory:
git clone https://github.com/locoda/stargazer-interpreter.git ~/your-agent/skills/stargazer-interpreter/Requires: Node.js + Puppeteer (auto-installs Chromium on first PDF/social card render).
Paste a Stargazer prompt — the agent runs Phase 1 (parse) + Phase 2 (interpret + save), generates A4 PDF by default.
User: Interpret this spread
You are a traditional Lenormand reader. Read for me...
---
Question: How will my career change in the next 3 months?
Date: 2026-06-20
Spread: 3-card linear
1. Clover
2. Child
3. Snake
User: Generate social cards from the latest reading
User: Generate web page from reading #2
User: Interpret this spread, generate PDF and social cards
[Stargazer prompt...]
Stargazer Prompt
│
▼
[Phase 1] Parse → structured card data
│
▼
[Phase 2] Interpret → save reading (JSON + MD)
│
▼
[Phase 3] Generate products from saved reading
├── A4 PDF (default)
├── Web Page
├── Social Card (1080×1440 carousel)
└── Long Image (full-page PNG)
├── SKILL.md # Main instructions
├── README.md # English docs
├── README.zh-CN.md # Simplified Chinese docs
├── README.zh-TW.md # Traditional Chinese docs
├── assets/
│ ├── seed-a4-pdf.html # A4 PDF HTML skeleton
│ ├── seed-social-card.html # 1080×1440 social card skeleton
│ └── seed-web-page.html # Web page skeleton
├── cards/
│ └── card-01-rider.svg ... # 36 Geometric Silence SVG cards
├── references/
│ ├── lenormand-cards.md # 36-card database (MIT), modifier types, methodology
│ ├── spread-parsing.md # Prompt parsing rules
│ ├── design-system.md # Shared fonts, colors, card slugs
│ ├── reading-schema.md # JSON schema for persisted readings
│ └── template-a4-pdf.md # A4 PDF chapter & page balance rules
└── scripts/
├── generate-pdf.js # HTML → A4 PDF (Puppeteer)
├── render-social-cards.js # HTML → 1080×1440 PNGs (Puppeteer)
├── render-long-image.js # HTML → full-page PNG (Puppeteer)
├── validate.js # Product validation (static + Puppeteer)
└── manage-readings.js # Reading index CLI
Frontend & previews are maintained in the
sitebranch and deployed via Cloudflare Pages at stargazer-interpreter.1mether.me. See the live demo.
MIT
Typography
- Chiron Sung HK (昭源宋體) — variable serif, SIL OFL 1.1
- Chiron Hei HK (昭源黑體) — variable sans, SIL OFL 1.1
Design
- Kami — visual style inspiration, MIT
- Geometric Silence — original card deck design
Data
- Stargazer's Oracle — online Lenormand platform
- lenormand-oracle — 36-card bilingual dataset, MIT
- Combination modifier system — original synthesis based on public-domain Lenormand tradition