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AI EngineeringPython

Slm Graph

by qualixar

Slm Graph is an AI Engineering skill for Claude Code, published by qualixar in superlocalmemory.

223 stars34 forkson qualixar/superlocalmemoryAdded 2026/09/03Repository updated 2026/09/03
agent-memoryagent-reliabilityai-agentsclaude-codecursorknowledge-graphllm-memorylocal-firstmcpmcp-serverpersistent-memoryqualixarsemantic-searchvector-searchwindsurf
Install in seconds
Install Slm Graph
Copy Slm Graph into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/qualixar/superlocalmemory/tree/main/antigravity-plugin/skills/slm-graph ~/.claude/skills/slm-graph

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/qualixar/superlocalmemory.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
antigravity-plugin/skills/slm-graph/SKILL.md in qualixar/superlocalmemory
Installs to
~/.claude/skills/slm-graph
Collection
One of 15 skills cataloged from this repository
Category
AI Engineering β€” 2793 skills

What Slm Graph does

Slm Graph indexes a codebase as a structural graph and answers questions about callers, callees, inheritance, and change impact. Use it to navigate unfamiliar code, assemble review context, and check what changed since the last index.

Slm Graph is cataloged under AI Engineering on DirSkills. Slm Graph comes from a repository tagged agent-memory, agent-reliability, ai-agents, claude-code and cursor.

Documentation

README

slm-graph β€” Code Intelligence Skill

Index any repo as a code knowledge graph and answer structural questions about it: callers, callees, impact radius, semantic search, and review context. Requires the code MCP profile (set SLM_MCP_PROFILE=code in your plugin .mcp.json).

Prerequisite rule: every tool except build_code_graph self-guards β€” if the graph is not built it returns {"success": false, "error": "Code graph not built. Run build_code_graph first."}. Always index first.


Tool Reference

1. build_code_graph β€” index a repository

build_code_graph(
    repo_path: str,
    languages: str = "",
    exclude_patterns: str = "",
) -> {success, files_parsed, nodes, edges, flows, communities, duration_ms}

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Slm Graph

  • What else does qualixar publish alongside Slm Graph?

    Slm Graph is one of 15 skills that DirSkills catalogs from qualixar/superlocalmemory, the repository it ships in. Its siblings there include SLM Cache, SLM Governance and SLM Graph. Each one is a separate skill with its own page in this directory, installs the same way Slm Graph does, and is maintained by qualixar in that same repository. The rest of the collection is listed on the qualixar/superlocalmemory page.

  • How does Slm Graph compare to other AI Engineering skills?

    Slm Graph ranks #2546 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Slm Graph against them. Open each page to compare what they document and how they install.

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Slm Graph is one of 15 skills cataloged on DirSkills from qualixar/superlocalmemory.

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