ReasonDB
Official@reasondb · Sydney
The first database built to let AI agents think their way to the right answer using structural reasoning, rather than guessing based on vector similarity.
Agent Skills by ReasonDB
Showing 10 vetted skills indexed across 1 GitHub repositories.
blame-doc
Analyze repository docs and code to produce a structured blame report.
migrate-docs
Migrate Mintlify, Docusaurus, GitBook, or ReadMe docs to DevDoc format.
create-doc
Generate structured documentation pages from codebase analysis and templates.
update-doc
Update outdated documentation to match current code implementations.
bootstrap-docs
Bootstrap documentation structures and plans using the Diátaxis framework.
import-api-spec
Import and validate OpenAPI, GraphQL, and AsyncAPI specifications into api-reference bundles.
check-docs
Audit documentation health by verifying source mappings, links, and terminology consistency.
whisk-theme
Generate theme.json and custom.css from repository branding cues.
delete-doc
Identify and remove documentation pages after user confirmation with link checks.
commit-doc
Automate documentation commit workflows with review prompts and standardized messages.
Frequently Asked Questions About ReasonDB
FAQPage SchemaWhat specific documentation tasks does ReasonDB enable?▼
ReasonDB enables the generation, migration, and auditing of technical documentation. It supports bootstrapping structures via the Diátaxis framework, validating OpenAPI and GraphQL specifications, updating content to match codebase changes, and managing the lifecycle of documentation pages through automated link checks and consistency audits.
Which technical personas benefit from using these capabilities?▼
Technical writers, documentation engineers, and software architects benefit from these capabilities. The system is designed for teams managing complex codebases who require strict synchronization between source code and public-facing reference materials, ensuring that documentation remains a reliable source of truth throughout the development lifecycle.
What are the prerequisites for integrating these documentation services?▼
Integration requires an existing codebase and documentation repository. Users must provide access to their source files and existing documentation formats, such as Mintlify or Docusaurus, to enable the migration, auditing, and synchronization features provided by the system.