More screenshots
Works with the AI tools you already use
Astroguru Report
Professional Vedic astrology reports with deterministic chart generation, Dasha analysis, and animated HTML output.
Free
See it in action
You say
Analyze the career outlook for Rahul Sharma, born August 17, 1995, at 14:35 in Bengaluru, India. Please save the results as a report.
Your agent does
Report for Rahul Sharma (17 Aug 1995)
- Outlook: Career growth begins in late 2024 as Guru enters your 10th house. Expect increased responsibility by mid-2025.
- Recommendations: Focus on leadership training. Use Saturn-related discipline. Summary: report.html and analysis.json generated.
About this skill
What it does
AstroGuru Report is a professional-grade Vedic astrology skill that transforms natural-language birth details into comprehensive, deterministic astrological reports. It bridges the gap between complex astronomical calculations and human-readable insights, supporting Dasha (predictive timing) and Gochara (transit) analysis.
How it works
Unlike simple prompting, this skill uses a local, standalone calculation engine to generate high-fidelity astrological data. It handles geocoding, timezone normalization to Indian Standard Time (IST), and precise Vimsottari Dasha calculations. Developers can choose between interactive chat responses or the generation of persisted, animated HTML reports.
Why use this skill?
- Deterministic Accuracy: Built-in libraries perform actual planetary math rather than relying on LLM "hallucinations" of star charts.
- Flexible Output: Supports chat-only modes, context-only for debugging, or full artifact persistence with automated HTML rendering.
- Follow-up Ready: Persists analysis context (Dasha/Gochara data) so users can ask refinement questions without re-entering birth data.
- Agency-Agnostic: Designed to work seamlessly with Claude Code, Cursor, and other agent environments without external API dependencies.
The Output
Produces a structured analysis including goal-oriented outlooks with broad timeframes (e.g., "Mid-2025"), practical recommendations, and optional spiritual practices, presented as either a CLI summary or a rich, animated HTML report.
Setup is simple:
unzip the skill folder into the target agent’s skills or workspace directory, then create the local Python environment using SETUP.md and install dependencies from requirements.txt. Python 3.10 or 3.11 is recommended. The scripts do not call any LLM provider directly; interpretation is handled by the active agent.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
8 people have installed this skill.
Trust & safety
Security scanned
Verified clean 3 months ago
- Free to download with an account