Bible Q&A for Openclaw

A specialized AI agent skill designed to provide structured, context-aware answers to biblical questions regarding passages, figures, and themes.

chenios
v1.0.1
Mar 12, 2026
1
1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install bible-qa

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install bible-qa using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Bible Q&A?

The Bible Q&A skill is a precision-engineered tool for Openclaw Skills that enables AI agents to interpret and explain scripture with theological rigor and historical accuracy. It moves beyond simple verse lookups by providing a three-tiered response structure: historical background, key verse citations, and practical application. This ensures that users receive not just a quote, but a holistic understanding of the text's original intent and modern relevance.

Built with a focus on reverence and restraint, this skill avoids speculative or esoteric interpretations. It enforces strict adherence to textual context and provides a clear distinction between direct scriptural teaching and inferred application. Whether you are building a study tool or a research assistant, this skill brings a professional, scholarly approach to biblical data processing.

Bible Q&A Use Cases

  • Providing historical and literary context for specific Bible books or chapters.
  • Explaining the lives and significance of biblical characters like David or Paul.
  • Analyzing theological themes such as faith, works, or grace across different translations.
  • Generating structured study notes for personal devotions or small group preparation.
  • Clarifying the distinction between direct scriptural commands and pastoral applications.

How Bible Q&A Works

  1. The AI agent identifies a biblical reference, person, or theme within the user's query.
  2. The skill analyzes the request against the specified translation (defaulting to ESV) and tradition (defaulting to Evangelical).
  3. It synthesizes a historical and literary background section detailing author and audience.
  4. It identifies and accurately quotes key verses using the standard (Book chapter:verse, translation) format.
  5. It generates a pastoral application, ensuring any non-explicit inferences are labeled as reference applications.
  6. The final output is delivered in the user's preferred format, such as plain text, Markdown, or DOCX.

Bible Q&A Setup

To integrate this skill into your Openclaw Skills environment, add the bible-qa configuration to your agent's skill manifest:

# Install the skill via the Openclaw CLI
claw install bible-qa

Ensure your agent has the necessary permissions to access theological datasets or API endpoints if required by your specific implementation.

Bible Q&A Data Schema & Taxonomy

The Bible Q&A skill follows a strict metadata and output taxonomy to ensure consistency across the Openclaw Skills ecosystem:

Attribute Default Value Supported Options
Translation ESV NIV, KJV, NASB, etc.
Tradition Evangelical Reformed, Charismatic, Baptist, Non-denominational
Output Format Plain Text Markdown, DOCX
Tone Reverent/Restrained N/A

Bible Q&A Advanced Features

  • Multi-translation support allowing for side-by-side verse comparisons.
  • Tradition-specific filtering to align responses with specific theological frameworks like Reformed or Charismatic perspectives.
  • Automated application labeling to prevent the blurring of lines between scripture and commentary.
  • Export capabilities to DOCX or Markdown for seamless integration into digital notebooks or publishing workflows.
  • Context-aware proof-texting prevention to ensure all citations respect the original literary unit.

SKILL.md


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