Agent skill
graph-trace
[Code Intelligence] Trace full system flow from a target file or function through all edge types (CALLS, events, bus messages, API endpoints). Supports downstream, upstream, or bidirectional tracing. Use when investigating what happens when code executes, understanding blast radius, or tracing frontend-to-backend flows.
Install this agent skill to your Project
npx add-skill https://github.com/duc01226/EasyPlatform/tree/main/.claude/skills/graph-trace
SKILL.md
Graph Trace — Full System Flow
Trace connections from a target node through multiple edge types using BFS. Shows the complete chain: API endpoints → commands → entity events → bus messages → cross-service consumers.
When to Use
- "What happens when X is called/created/updated?" →
--direction downstream - "What calls/triggers X?" →
--direction upstream - "Show me the full flow through X" →
--direction both(best when entry point is a middle file like a controller or command handler) - Impact analysis — understand what's affected by a code change
- Cross-service tracing — follow MESSAGE_BUS edges to see which services consume events
Prerequisites
Graph must exist (.code-graph/graph.db). If missing, run /graph-build first.
Workflow
Step 1: Identify the target
If the user specifies a file path, use it directly. If the query is semantic:
- Grep first to find entry point files related to the user's query
- Use the discovered file as the trace target
Step 2: Choose direction
| Direction | When to Use | Example |
|---|---|---|
downstream (default) |
What does this code trigger? | "What happens after employee is created?" |
upstream |
What calls this code? | "What triggers this event handler?" |
both |
Full picture through a middle point | "Show full flow through this controller" |
Step 3: Run trace
# Downstream trace (default) — what does this trigger?
python .claude/scripts/code_graph trace <target> --json
# Upstream trace — what calls/triggers this?
python .claude/scripts/code_graph trace <target> --direction upstream --json
# Bidirectional — full flow through this point
python .claude/scripts/code_graph trace <target> --direction both --json
# Custom depth (default: 3)
python .claude/scripts/code_graph trace <target> --direction both --depth 5 --json
# Filter to specific edge types
python .claude/scripts/code_graph trace <target> --edge-kinds CALLS,MESSAGE_BUS --json
Step 4: Present results
The trace returns a multi-level BFS tree:
{
"status": "ok",
"direction": "both",
"levels": [
{ "depth": 0, "nodes": [...], "edges": [] },
{ "depth": 1, "nodes": [...], "edges": [{ "kind": "CALLS", ... }] },
{ "depth": 2, "nodes": [...], "edges": [{ "kind": "MESSAGE_BUS", ... }] }
]
}
Present results grouped by depth level. Highlight cross-service MESSAGE_BUS edges — these show the flow spreading to other microservices.
Step 5: Handle ambiguous targets
If trace returns status: "ambiguous", multiple nodes match the target name. Use search to find the exact qualified name:
python .claude/scripts/code_graph search <keyword> --kind Function --json
Then retry with the full qualified name.
Edge Types Traced
| Edge Kind | Meaning |
|---|---|
CALLS |
Direct function/method calls |
TRIGGERS_EVENT |
Entity CRUD triggers event handler |
PRODUCES_EVENT |
Event handler triggers bus message producer |
MESSAGE_BUS |
Bus message producer to consumer (cross-service) |
TRIGGERS_COMMAND_EVENT |
Command triggers command event handler |
API_ENDPOINT |
Frontend HTTP call to backend route |
CLI Reference
trace <target> [--direction downstream|upstream|both] [--depth N] [--edge-kinds KIND1,KIND2] [--node-mode file|function|class|all] [--json]
| Flag | Default | Description |
|---|---|---|
--direction |
downstream |
Trace direction |
--depth |
3 |
Maximum BFS depth |
--edge-kinds |
all | Comma-separated edge kinds to follow |
--node-mode |
all |
Granularity: file (10-30x less noise), function, class, all |
--json |
off | Structured JSON output |
Examples
# What happens when a user is created? (trace from command handler downstream)
python .claude/scripts/code_graph trace src/Services/Accounts/Commands/CreateUser/CreateUserCommandHandler.cs --json
# What calls this API controller? (trace upstream to find frontend callers)
python .claude/scripts/code_graph trace src/Services/Growth/Controllers/GoalController.cs --direction upstream --json
# Full flow through an entity event handler (upstream triggers + downstream consumers)
python .claude/scripts/code_graph trace src/Services/Employee/UseCaseEvents/EmployeeCreatedEventHandler.cs --direction both --json
# File-level overview (10-30x less noise — great first pass before drilling into functions)
python .claude/scripts/code_graph trace src/Services/Growth/Controllers/GoalController.cs --direction both --node-mode file --json
Anti-Patterns
- Don't trace without
--json— structured output is needed for parsing - Don't trace with depth > 5 — results get noisy; use edge-kinds filter instead
- Don't skip grep-first — if you don't know the file path, grep for it first
- Don't use for single-hop queries — use
callers_oforimporters_ofinstead (faster)
Related Skills
/graph-query— Individual query patterns (callers_of, importers_of, etc.)/graph-blast-radius— Change-driven impact analysis from git diff/graph-build— Build or rebuild the graph/graph-connect-api— Frontend-to-backend API endpoint matching
Closing Reminders
- MUST break work into small todo tasks using
TaskCreateBEFORE starting - MUST search codebase for 3+ similar patterns before creating new code
- MUST cite
file:lineevidence for every claim (confidence >80% to act) - MUST add a final review todo task to verify work quality
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