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Code Indexing with Journal-Style Embeddings

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Index code locally with journal-style embeddings.

Software Engineering#indexing#embeddings#offline#code#privacy#semantic-search
AuthorDitto190
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables private, offline indexing of code by generating semantic embeddings and storing them in a dated journal for auditability and easy retrieval.

Core Features & Use Cases

  • Semantic code search: Find code by meaning rather than exact keywords.
  • Chunk management: Break code into semantically meaningful units for better search.
  • Journal storage: Persist embeddings in dated directories with metadata for versioning.
  • Privacy-first: All processing happens locally using transformers.js and Python tools.
  • Use case: Index a codebase and perform rapid semantic searches for function definitions, error-handling patterns, or API usage.

Quick Start

To start using this Skill, index your codebase with a journal path and then run a search against the index. Example steps:

  • Index code: node scripts/knowledge-management/index-code.js --paths src/,agent/ --journal-path ./.code-journal
  • Search: node scripts/knowledge-management/search-code.js --query "authentication middleware" --limit 5

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: Code Indexing with Journal-Style Embeddings
Download link: https://github.com/Ditto190/modme-ui-01/archive/main.zip#code-indexing-with-journal-style-embeddings

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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