Astro — Multi-Tradition Astrology Engine for AI Agents
Trustworthy birth charts, transits, and synastry across Western, Vedic/Jyotish, and Chinese BaZi. The engine computes; the model interprets.
Paste this into any AI chat or agent (Claude, ChatGPT, Gemini, Claude Code, Cursor, Codex, DeepSeek, Perplexity…). It installs Astro itself — you don't set anything up first:
You are my personal astrologer powered by Astro, an open-source multi-tradition astrology engine that computes mathematically real charts instead of guessing: https://github.com/aryaminus/astro
SET YOURSELF UP now using whatever you're capable of — try in this order, don't ask me first:
1. If you can run shell/terminal commands, get the pure-Python engine (zero dependencies — no pip install) by ANY of these:
- `git clone https://github.com/aryaminus/astro` — most reliable; engine at astro/skills/astrology/scripts/astro_engine.py
- `npx skills add aryaminus/astro -g` — installs the skill on Claude Code, Cursor, Codex, Gemini CLI + 50+ hosts (engine at skills/astrology/scripts/astro_engine.py)
- latest packaged release (needs only curl + unzip): `curl -L -o astrology.skill https://github.com/aryaminus/astro/releases/latest/download/astrology.skill && unzip astrology.skill` — engine then at scripts/astro_engine.py
Then run it: `python3 <path>/astro_engine.py --json '{"year":1990,"month":6,"day":15,"hour":14,"minute":30,"lat":40.7128,"lng":-74.0060,"tz":"America/New_York"}'`. Required: year, month, day, lat, lng (decimals, East +/West −), tz (IANA name like "America/New_York"); optional: hour+minute (omit → Sun-sign level), name, gender, "mode" (transit / synastry / compatibility / solar_return / …), "systems":["western","vedic","bazi"]. Look up the user's city's lat/lng/tz yourself.
2. If you already have an Astro MCP server or REST API connected, use those tools to compute charts. Public MCP SSE endpoint: `https://astro-api-a2rc.onrender.com/mcp/sse` (~30s cold start after idle).
3. If you can only browse the web: read the canonical spec and follow it as your operating instructions — https://raw.githubusercontent.com/aryaminus/astro/main/skills/astrology/SKILL.md — and fetch the classical reference rulesets it links (western, vedic, bazi, synastry-and-timing, consultation) from https://github.com/aryaminus/astro/tree/main/skills/astrology/references
4. If you can't do any of the above: tell me in one line how to install it (`npx skills add aryaminus/astro -g`, or download the skill from https://github.com/aryaminus/astro/releases/latest for claude.ai), then proceed by interpreting from classical reference and state clearly that you are NOT computing real positions.
THEN behave exactly as Astro's SKILL.md defines:
- COMPUTE the real chart before interpreting — NEVER invent a planetary position, house, or aspect. If no compute path worked, say so honestly.
- CITE specific placements ("your Moon in Pisces in the 4th house"); never generic statements true of everyone.
- ROUTE by question: love → synastry/compatibility; timing/career → transits; year ahead → solar return + progressions; where to live → astrocartography; auspicious dates → electional + panchang.
- TRADITIONS: Western tropical by default; Vedic (dasha/nakshatra) when I ask; Chinese BaZi (four pillars) when I ask.
- ETHICS: never predict death or guaranteed doom; give me agency; if I'm in crisis, point me to real emergency help first.
Now ask me for my birth details (date — and ideally exact time + city) and let's begin.
Local install — works on Claude Code, Cursor, Codex, Copilot, Gemini CLI, and 50+ Agent Skills hosts:
npx skills add aryaminus/astro -g
Why this exists
A raw LLM cannot tell you where Mars was on a Tuesday in 1997 — it hallucinates chart data. Astro splits the work:
- Engine — deterministic Python math computes real sky positions (zero deps, pure stdlib)
- Skill — orchestrates the engine + loads classical interpretation rulesets
- Glue — MCP, REST, CLI, ChatGPT Actions reach the engine from any platform
The model never guesses a position. It interprets structured output grounded in 8 classical rulesets.
19 modes · 3 traditions · zero dependencies
Modes: natal, transit, synastry, compatibility, composite, astrocartography, horary, event, solar/lunar/planetary return, navamsa, varga (D2–D60), panchang, moon phase, numerology, progressions, planetary hours, transit-to-natal aspects. Full list and parameters in skills/astrology/SKILL.md.
Traditions: Western tropical, Vedic/Jyotisha (Lahiri sidereal), Chinese BaZi + Tibetan/Buddhist.
Auto-included in every natal chart: Aspect patterns (Grand Trine, Kite, T-Square, Grand Cross, Yod, Mystic Rectangle, Stellium) · Part of Fortune · Vertex · Black Moon Lilith · Moon phase · 10 Arabic Parts · 23 fixed-star conjunctions · Navamsa D9 · Panchang · Mangal Dosha · Kaalsarpa Dosha.
Try it
After installing, ask any of these:
- "What's my chart?" → full natal
- "Am I compatible with…?" → synastry + 0–100 scoring
- "When's my Saturn return?" → planetary return + timing
- "Where should I live for career?" → astrocartography
- "What time should I start the meeting?" → Chaldean planetary hours
- "Pick an auspicious wedding date" → electional + panchang
- "Should I have surgery this month?" → medical timing
- "What does today have in store?" → transits + natal aspects
Project layout
astro/
├── skills/astrology/
│ ├── SKILL.md # runtime spec the model reads
│ ├── scripts/astro_engine.py # deterministic engine (~2930 lines)
│ ├── scripts/mcp_server.py # MCP wrapper (18 tools, stdio + SSE)
│ ├── scripts/api.py # REST API (31 endpoints)
│ └── references/ # 8 classical rulesets
│ ├── western.md · vedic.md · bazi.md · tibetan.md
│ ├── health.md · synastry-and-timing.md
│ ├── specialty-systems.md · consultation.md
├── openapi.yaml # OpenAPI 3.1 (ChatGPT, Agentforce, Coze)
├── smithery.yaml # Smithery registry
├── Dockerfile · docker-compose.yml · render.yaml # cloud deploy
└── AGENTS.md · CONTRIBUTING.md · SECURITY.md · CHANGELOG.md
Cloud hosting
Free by default. No auth, no rate limits. Set ASTRO_API_KEY to gate, ASTRO_RATE_LIMIT to throttle.
Render (one-click, free tier): Connect this repo → New → Blueprint. render.yaml provisions everything. Verify with curl https://astro-api-a2rc.onrender.com/health. Free tier spins down after 15 min idle; first request after idle takes ~30s.
Docker:
docker compose up --build # API on :8000, docs at /docs
Raw Python:
pip install -r requirements.txt
uvicorn skills.astrology.scripts.api:app --host 0.0.0.0 --port 8000
MCP SSE (Smithery, Cloudflare, Poke):
ASTRO_MCP_TRANSPORT=sse python -m skills.astrology.scripts.mcp_server
Cloud MCP SSE (no deploy needed): https://astro-api-a2rc.onrender.com/mcp/sse — free Render instance. ~30s cold start.
Env vars and operational endpoints documented in AGENTS.md.
Documentation
Contributing
PRs welcome. Hard rules: engine stays zero-dep, engine never imports frameworks, touch all 4 surfaces (engine + MCP + REST + OpenAPI), the skill is honest. See CONTRIBUTING.md.
License
MIT. Reference texts in skills/astrology/references/ are original MIT-licensed syntheses of classical sources.
