Agent skill

graph-connect-api

[Code Intelligence] Detect frontend-to-backend API connections using the knowledge graph. Matches HTTP calls (Angular, React, Vue, fetch, axios) with backend routes (.NET, Spring, Express, FastAPI) via project-config.json configuration.

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Install this agent skill to your Project

npx add-skill https://github.com/duc01226/EasyPlatform/tree/main/.claude/skills/graph-connect-api

SKILL.md

Connect API

Detect frontend HTTP calls and match them to backend route definitions, creating API_ENDPOINT edges in the knowledge graph.

How It Works

The connector scans frontend files for HTTP calls and backend files for route definitions, normalizes URL paths, and matches them using a multi-strategy algorithm:

  1. Exact match — normalized paths identical
  2. Prefix-augmented — prepends routePrefix to frontend path
  3. Suffix match — strips routePrefix from backend, matches remainder
  4. Deep strip — strips leading {param} segments from backend (handles class-level {companyId} routes)
  5. Controller resolution — resolves .NET [controller] placeholder to actual class name

Zero-Config Auto-Detection

No configuration needed. The connector auto-detects frameworks by scanning for marker files:

Frontend Markers
Angular angular.json, nx.json, @angular/core in package.json
React react in package.json
Vue vue.config.js, vue in package.json
Next.js next.config.js, next in package.json
Svelte svelte.config.js, svelte in package.json
Backend Markers
.NET *.csproj with Microsoft.AspNetCore
Spring pom.xml/build.gradle with spring-boot
Express express in package.json
NestJS @nestjs/core in package.json
FastAPI fastapi in requirements.txt
Django manage.py with django
Rails Gemfile with rails
Go go.mod (Gin/Echo patterns)

Auto-Run Behavior

The connector runs automatically in these situations:

When Behavior
After build / update / sync Always runs via _auto_connect()
First trace / query / connections Runs once via _ensure_connectors_ran() if never run before

You almost never need to run this manually. The graph CLI handles it automatically.

Custom Config (Optional)

For projects with custom HTTP patterns (e.g., base class API service), add to docs/project-config.json:

json
{
    "graphConnectors": {
        "apiEndpoints": {
            "enabled": true,
            "frontend": {
                "framework": "angular",
                "paths": ["src/app/"],
                "customPatterns": ["this\\.\\s*(get|post|put|delete|patch)\\s*[<(]\\s*['\"]([^\"']+)"]
            },
            "backend": {
                "framework": "dotnet",
                "paths": ["src/Api/Controllers/"],
                "routePrefix": "api",
                "customPatterns": []
            }
        }
    }
}

Custom patterns extend (not replace) built-in framework patterns. Explicit config overrides auto-detected config for paths.

Manual Run

bash
python .claude/scripts/code_graph connect-api --json

Steps (when manually invoked)

  1. Run connector via Bash:
    bash
    python .claude/scripts/code_graph connect-api --json
    
  2. Report results: Frontend calls found, backend routes found, matches created, edge count

Matching Strategies

The connector tries 5 strategies in order (highest confidence first):

# Strategy Confidence Example
1 Exact match 1.0 FE /api/users = BE /api/users
2 Prefix-augmented 0.95 FE /users + prefix api/api/users
3 Suffix match 0.9 BE /api/users stripped → /users = FE /users
4 Deep strip 0.85 BE /api/{param}/users/users = FE /users
5 Deep strip both 0.8 Both sides have {param} segments stripped

See Also

  • Implicit Connections — For event buses, entity events: graphConnectors.implicitConnections[] in project-config.json. CLI: connect-implicit --json

Related Skills

  • /graph-build — Build/update the knowledge graph (prerequisite)
  • /graph-trace — Trace full system flow (API_ENDPOINT edges enable frontend-to-backend tracing)
  • /graph-blast-radius — Analyze structural impact of changes
  • /graph-query — Query code relationships in the graph

Closing Reminders

  • MUST break work into small todo tasks using TaskCreate BEFORE starting
  • MUST search codebase for 3+ similar patterns before creating new code
  • MUST cite file:line evidence for every claim (confidence >80% to act)
  • MUST add a final review todo task to verify work quality

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