Human Design LLM: Open-Source Agent Skill for BodyGraph AI

Where this fits

You're building a wellness assistant that needs to generate personalized Human Design charts and interpretations. Instead of paying per-call to a closed API or building the complex calculation engine yourself, you can install this skill into your agent runtime (Codex, Claude Code, etc.) and get instant access to a complete Human Design system—charts, gate definitions, and LLM-based consultation. This skill fits the workflow of any developer who wants to embed esoteric but structured personality analysis into their product without reinventing the wheel. For more context, see the skill listing.

Why agents benefit

• Generates full BodyGraph charts from birth data, producing accurate SVG or JSON representations that agents can render or pass to downstream tools.
• Provides DeepSeek consultation for interpreting chart elements, so your agent can answer user questions with reasoning instead of hardcoded rules.
• Runs entirely on your infrastructure—no external API keys or per-request costs, making it practical for high-volume or privacy-sensitive use cases.
• Exposes a clean Python API and FastAPI service, giving agents flexible invocation options: direct library calls, REST endpoints, or CLI.
• Supports custom extensions—you can patch the interpretation logic or add your own chart rules to tailor the output to your audience.

Practical scenarios

Personalized Daily Guidance Chatbot

An agent that asks users for birth time and location, then generates a chart and uses DeepSeek to craft a "today's focus" message based on their type and profile. The skill handles chart math; the agent just supplies the prompt.

Wellness Coaching Tool Integration

A health coach app wants to include Human Design as part of its onboarding. The agent calls the skill's Python function to create a report, then merges it into a broader questionnaire flow, all within the same conversation.

Research & Comparative Analysis

A developer building a comparison site for different Human Design systems. They can use this skill to batch-generate charts for test subjects, then analyze variations in interpretation by switching the LLM prompts.

Add it to your agent workflow

Install the skill with:

npx skills add joyozhang333-lgtm/human-design-llm

Then in your agent, import and call the provided functions. For example:

from human_design_llm import generate_chart

chart = generate_chart(name="Alex", birth_date="1990-05-15", birth_time="14:30", location="New York")
print(chart.summary())

Your agent can now pass the returned chart data to any LLM for interpretation, or render the BodyGraph directly.

Compare before adopting

Before you commit, verify:

• Chart accuracy—test against known Human Design references or compare results with other open-source libraries.
• Maintenance freshness—check the commit history and last release. The repo's 177 passing tests are a good sign, but ensure it stays active.
• Alternatives—other Human Design packages exist, but few combine chart generation with LLM consultation and an agent-ready skill format.
• Workflow fit—does the skill's API align with your agent's calling conventions? The FastAPI option helps if you prefer HTTP.

Why it is worth tracking

This project is young but shows strong signals: a live demo, MIT license, 177 passing tests, and a clear architecture separating chart engine, LLM interaction, and web UI. With 13 stars, it's early, but the author's focus on making it installable as an agent skill for multiple runtimes indicates forward thinking. Track it now to influence its roadmap—and if you build on it, you'll be ahead of the curve when Human Design AI becomes more mainstream in personal assistant agents.