astrology-backend-integration

Generate Kundli structures with D1/D9 charts, dasha timelines, and dosha analyses.

7|Updated Dec 5, 2025
One-click install
npx skills add https://github.com/twofourlabs/agent-docs --skill astrology-backend-integration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: astrology-backend-integration
Source: https://github.com/twofourlabs/agent-docs/tree/main/skills/astrology-backend-integration
Command: npx skills add https://github.com/twofourlabs/agent-docs --skill astrology-backend-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured blueprint for building AI-assisted astrology backends, standardizing data flows, API integrations, and interpretation prompts to accelerate development and ensure consistency.

Core Features & Use Cases

  • Kundli generation (D1/D9): Generate birth charts from birth details and store in a clean, queryable format.
  • Dasha and Dosha analysis: Compute current Vimshottari dasha, Manglik and Pitra (dosha) status, with remedies.
  • AI prompt integration: Build AI agents with domain-specific prompts and language models to deliver astrologically grounded insights.
  • Family support: Extend birth details and astro data to family members for shared astrology workflows.
  • Data normalization and transformation: Normalize API responses and convert nested data into a usable Kundli structure.

Quick Start

Command: Generate a complete kundli structure for a user with birth details (15 June 1990, 14:30 IST, New Delhi, India). Include D1 and D9 charts, current dasha, manglik and pitra dosha checks, and remedies in a YAML-like kundli.

Frequently Asked Questions about astrology-backend-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a Vedic kundli with D1 and D9 charts from birth details?

To generate a Vedic kundli, you input birth details like date, time, and location to calculate D1 and D9 charts. The skill normalizes API responses into a structured, queryable format for birth-chart calculations.

Can I automate Vimshottari dasha timeline calculations using an astrology API?

Yes, you can automate Vimshottari dasha timeline calculations using an astrology API. The skill computes current and full dasha timelines by enforcing structured data models and managing multi-endpoint API data normalization.

What is the best way to structure AI prompts for astrology interpretation agents?

The best way to structure AI prompts for astrology agents is through a reusable prompt framework. This skill provides domain-specific interpretation prompts to deliver astrologically grounded insights from Kundli and dosha data.

Does this approach support Manglik and Pitra dosha analysis with remedies?

Yes, this approach supports Manglik and Pitra dosha analysis with remedies. It computes dosha status from birth details and integrates the results into a clean data structure for AI-assisted interpretation.

How do I normalize nested astrology API responses into a usable Kundli structure?

You normalize nested astrology API responses into a usable Kundli structure by applying standardized data transformation rules. The skill enforces structured data models to convert complex API payloads into clean, queryable formats.

Can I extend astrology birth chart data to support family member workflows?

Yes, you can extend astrology birth chart data to support family member workflows. The skill includes family support, allowing you to extend birth details and astro data for shared astrology workflow processing.