Graph Query logo

Graph Query

CommunityPopular
davila7
graph-query

Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.

Overview

Publisherdavila7
Repositoryclaude-code-templates
Skill namegraph-query
Stars
30.8K
Forks
3.5K
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by davila7 on GitHub. Read the source before you install it.

Installation

Install the Graph Query AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/davila7/claude-code-templates.git /tmp/claude-code-templates
mkdir -p .claude/skills
cp -r /tmp/claude-code-templates/cli-tool/components/skills/ai-maestro/graph-query .claude/skills/graph-query
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Graph Query in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Graph Query on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Graph Query is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AI Maestro Code Graph Query

Query your codebase's dependency graph to understand component relationships, call chains, and the impact of changes before making modifications. Part of the AI Maestro suite.

Prerequisites

Requires AI Maestro running locally with codebase indexed.

bash
# Install graph tools
git clone https://github.com/23blocks-OS/ai-maestro-plugins.git
cd ai-maestro-plugins && ./install-graph-tools.sh

Core Behavior

After reading any code file, query the graph to understand dependencies:

Read file -> Query graph -> Then proceed

Commands

Query

CommandDescription
graph-describe.sh <name>Describe a component or function
graph-find-callers.sh <fn>Find all callers of a function
graph-find-callees.sh <fn>Find all functions called by this function
graph-find-related.sh <component>Find related components
graph-find-by-type.sh <type>Find all components of a type
graph-find-serializers.sh <model>Find serializers for a model
graph-find-associations.sh <model>Find model associations
graph-find-path.sh <from> <to>Find call path between functions

Index

CommandDescription
graph-index-delta.sh [path]Index or update the code graph

Component Types

Use with graph-find-by-type.sh: model, serializer, controller, service, job, concern, component, hook

Usage Examples

bash
# After reading a model file
graph-describe.sh User
graph-find-serializers.sh User
graph-find-associations.sh User

# Before modifying a function
graph-find-callers.sh process_payment
graph-find-callees.sh process_payment

# Find call chain between components
graph-find-path.sh handleRequest sendResponse

# Index your codebase
graph-index-delta.sh /path/to/project

Why Query Before Modifying

Without checking the graph, you risk:

  • Breaking callers when changing a function signature
  • Missing serializers that need updating with a model change
  • Overlooking child classes that inherit your modifications

Full AI Maestro Experience

This skill is part of the AI Maestro platform, which provides 6 skills for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.

Frequently asked questions

What does the Graph Query AI skill do?

Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.

Why use Graph Query on TypingMind?

Because you install it once and use it with any model. Graph Query is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Graph Query in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-maestro/graph-query. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Graph Query?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Graph Query?

As many as you like. As long as a model supports skills, you can use Graph Query with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Graph Query AI skill free?

Yes. It is published on GitHub by davila7 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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