Does it require a database?

While it primarily uses a JSON index, it can synchronize data to a SQLite database for faster, ranked full-text search capabilities using the --db-sync command.

Can I generate visual diagrams with this skill?

Yes, it includes subcommands like --graph, --timeline, and --viz-all to generate PNG visualizations and Mermaid diagrams of your project's knowledge structure.

What kind of data can I track in the index?

You can track theorems, logic gates, probability trajectories, researchers, equations, and data provenance chains.

What is the primary file managed by Knowledge Weave?

It manages and queries a structured JSON file located at tools/knowledge-index.json, which serves as the central repository for project findings.

How does the entity tracing feature work?

The --trace command searches for a specific entity across the index and automatically retrieves the surrounding context from the original source files for human review.

Knowledge Weave

Name: Knowledge Weave
Author: Meme-Theory

byMeme-Theory

•

Ciencia de Datos y ML

Manages and visualizes structured project knowledge through an indexed database of theorems, evidence chains, and data provenance.

Knowledge Weave is a specialized research management skill designed to maintain a high-fidelity project index within Claude Code. It allows researchers and developers to track complex entities such as mathematical theorems, logic gates, and probability trajectories by extracting data directly from source code. With built-in support for visualization via PNG graphs and Mermaid diagrams, plus SQLite-backed full-text search, it provides an automated way to audit project consistency, trace data lineage, and navigate the intellectual topology of a repository.

Características Principales

01Tracks data provenance from scripts through outputs to decision gates.

02Rebuilds and validates a structured knowledge index from source files automatically.

037 GitHub stars

04Generates visual topology graphs, probability timelines, and researcher networks.

05Traces entity evidence chains by linking JSON records with source file context.

06Provides fast, ranked full-text search via an integrated SQLite FTS5 database.

Casos de Uso

01Auditing the decision logic and data lineage in simulation-heavy development environments.

02Managing complex scientific or mathematical research projects involving multiple theorems and equations.

03Generating visual documentation for knowledge graphs and project trajectories for stakeholders.

Características Principales

01Tracks data provenance from scripts through outputs to decision gates.

02Rebuilds and validates a structured knowledge index from source files automatically.

037 GitHub stars

04Generates visual topology graphs, probability timelines, and researcher networks.

05Traces entity evidence chains by linking JSON records with source file context.

06Provides fast, ranked full-text search via an integrated SQLite FTS5 database.

Casos de Uso

01Auditing the decision logic and data lineage in simulation-heavy development environments.

02Managing complex scientific or mathematical research projects involving multiple theorems and equations.

03Generating visual documentation for knowledge graphs and project trajectories for stakeholders.