OpenSkillIndex← back to search
claude-code

LLMs-Universal-Life-Science-and-Clinical-Skills- Semantic_Code_Indexing

<!--

install
source · Clone the upstream repo
git clone https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- "$T" && mkdir -p ~/.claude/skills && cp -r "$T/Skills/Software_Engineering/Semantic_Code_Indexing" ~/.claude/skills/mdbabumiamssm-llms-universal-life-science-and-clinical-skills-semantic-code-inde && rm -rf "$T"
manifest: Skills/Software_Engineering/Semantic_Code_Indexing/SKILL.md
source content
<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

name: semantic-code-indexing description: Indexes code into a knowledge graph, enabling natural language search, impact analysis, and architectural understanding for AI agents. keywords:

  • code
  • indexing
  • graph
  • semantic
  • mcp measurable_outcome: Successfully indexes a target repository and answers structural queries with 95% accuracy. license: MIT metadata: author: Software Engineering Tools version: "1.0.0" compatibility:
  • system: Multi-platform allowed-tools:
  • run_shell_command
  • read_file

Semantic Code Indexing

This skill provides AI agents with the ability to index codebases into knowledge graphs, allowing for deep, semantic understanding of code architecture and dependencies.

When to Use This Skill

  • When a deep structural understanding of a legacy or complex codebase is needed.
  • For root cause analysis across multiple files.
  • To plan large-scale refactoring.

Core Capabilities

  1. Graph Construction: Parses source code to build dependency and call graphs.
  2. Semantic Search: Allows querying the codebase using natural language.
  3. Impact Analysis: Identifies side effects of proposed code changes.

Example Usage

User: "Index the current project and show me dependencies of the main entry point."

Agent Action:

python3 src/indexer/run.py --target . --query "dependencies of main"
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->