Graph query
Build complete AI agents — 150+ personalities + 7 skills + messaging + identity. The skill builder for AI Maestro.
npx -y skills add 23blocks-OS/ai-maestro-plugins --skill graph-queryAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Queries the code graph database to understand component relationships, dependencies, and the impact of changes. Use when the user asks to "find callers", "check dependencies", "what uses this", or when exploring codebase structure to avoid breaking changes.
SKILL.md
6.0 KB, as published. Nobody here has run it
AI Maestro Code Graph Query
CRITICAL: AUTOMATIC BEHAVIOR - READ THIS FIRST
THIS IS NOT OPTIONAL. THIS IS YOUR DEFAULT BEHAVIOR.
Every time you use the Read tool on a code file, you MUST IMMEDIATELY query the graph to understand:
- What is this component/function?
- What depends on it? (callers, serializers, child classes)
- What does it depend on? (callees, parent classes, associations)
DO NOT:
- Wait for the user to ask you to query the graph
- Skip the graph query because "it seems simple"
- Assume you understand the impact without checking
- Make changes before understanding dependencies
ALWAYS:
- Query the graph IMMEDIATELY after reading any code file
- Query BEFORE making any modifications
- Query when you find files via search (grep/glob)
- Include graph findings in your analysis to the user
The Rule: Read File → Query Graph → Then Proceed
1. You read a file with Read tool
2. IMMEDIATELY run graph queries (describe, find-callers, find-serializers, etc.)
3. NOW you understand the full context
4. NOW you can analyze, modify, or discuss the code
Example - Reading a Model:
# After reading app/models/user.rb, IMMEDIATELY run:
graph-describe.sh User
graph-find-serializers.sh User
graph-find-associations.sh User
Example - Reading a Function:
# After reading a file with process_payment function, IMMEDIATELY run:
graph-find-callers.sh process_payment
graph-find-callees.sh process_payment
Available Commands
All commands auto-detect your agent ID from the tmux session. Just run them:
Query Commands
| Command | Description |
|---|---|
graph-describe.sh <name> | Describe a component or function |
graph-find-callers.sh <function> | Find all functions that call this function |
graph-find-callees.sh <function> | Find all functions called by this function |
graph-find-related.sh <component> | Find related components (extends, includes, etc.) |
graph-find-by-type.sh <type> | Find all components of a type (model, controller, etc.) |
graph-find-serializers.sh <model> | Find serializers for a model |
graph-find-associations.sh <model> | Find model associations (belongs_to, has_many) |
graph-find-path.sh <from> <to> | Find call path between two functions |
Indexing Commands
| Command | Description |
|---|---|
graph-index-delta.sh [project-path] | Delta index - only re-index changed files |
Delta Indexing (New)
When files change in your codebase, use delta indexing to quickly update the graph:
# Delta index - only process changed files
graph-index-delta.sh
# Delta index a specific project
graph-index-delta.sh /path/to/project
First Run Behavior:
- First time: Does a full index + initializes file tracking metadata
- Subsequent runs: Only indexes new/modified/deleted files
Note: There is no separate
graph-index.shscript.graph-index-delta.shhandles both full indexing (on first run) and incremental updates (on subsequent runs).
Output shows:
- New files added
- Modified files re-indexed
- Deleted files removed
- Unchanged files skipped
Performance:
- Full index: 30-120 seconds (1000+ files)
- Delta index: 1-5 seconds (5-10 changed files)
What to Query Based on What You Read
| File Type | IMMEDIATELY Query |
|---|---|
| Model | graph-describe.sh, graph-find-serializers.sh, graph-find-associations.sh |
| Controller | graph-describe.sh, graph-find-callees.sh |
| Service | graph-describe.sh, graph-find-callers.sh |
| Function | graph-find-callers.sh, graph-find-callees.sh |
| Serializer | graph-describe.sh |
| Any class | graph-find-related.sh |
Why This Matters
Without querying the graph, you will:
- Miss serializers that need updating when you change a model
- Break callers when you change a function signature
- Miss child classes that inherit your changes
- Overlook associations that depend on this model
The graph query takes 1 second. A broken deployment takes hours to fix.
Component Types
Use with graph-find-by-type.sh:
model- Database modelsserializer- JSON serializerscontroller- API controllersservice- Service objectsjob- Background jobsconcern- Shared modulescomponent- React/Vue componentshook- React hooks
Helper Scripts
This skill relies on an internal helper script that provides shared utility functions:
graph-helper.sh- Sourced by thegraph-*.shtool scripts. Provides graph-specific API functions (graph_query,init_graph) and initialization logic. Located alongside the tool scripts in~/.local/bin/(installed) orplugin/src/scripts/(source). If tool scripts fail with "common.sh not found", re-run the installer (~/ai-maestro/install-graph-tools.sh).
Error Handling
Script not found:
- Check PATH:
which graph-describe.sh - Verify scripts installed:
ls -la ~/.local/bin/graph-*.sh - Scripts are installed to
~/.local/bin/which should be in your PATH - If not found, run the installer from the AI Maestro project root:
~/ai-maestro/install-graph-tools.sh
API connection fails:
- Ensure AI Maestro is running:
curl http://127.0.0.1:23000/api/hosts/identity - Ensure your agent is registered (scripts auto-detect from tmux session)
- Check exact component names (case-sensitive)
Graph is unavailable:
- Inform the user: "Graph unavailable, proceeding with manual analysis - increased risk of missing dependencies."
Installation
If commands are not found, run the installer from the AI Maestro project root:
~/ai-maestro/install-graph-tools.sh
This installs scripts to ~/.local/bin/.