system-integration-validator
Validates system integration before deployment. Use when checking ports, database connections, frontend-backend APIs, or debugging blocked/stuck workflows. Detects dead ends, bottlenecks, circular dependencies.
Best use case
system-integration-validator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Validates system integration before deployment. Use when checking ports, database connections, frontend-backend APIs, or debugging blocked/stuck workflows. Detects dead ends, bottlenecks, circular dependencies.
Teams using system-integration-validator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/system-integration-validator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How system-integration-validator Compares
| Feature / Agent | system-integration-validator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Validates system integration before deployment. Use when checking ports, database connections, frontend-backend APIs, or debugging blocked/stuck workflows. Detects dead ends, bottlenecks, circular dependencies.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# System Integration Validator
Validates system integration before deployment.
## When to Use
- Pre-deployment validation
- Checking port availability
- Verifying database connections
- Debugging stuck workflows
- Detecting dead ends or circular dependencies
## Workflow
### Step 1: Check Ports
Verify all required ports are free.
### Step 2: Verify Databases
Test PostgreSQL and Redis connections.
### Step 3: Validate API Contracts
Ensure frontend ↔ backend match.
### Step 4: Analyze Data Flow
Detect dead ends, orphan inputs, bottlenecks.
---
## Pre-Deployment Checklist
1. **Ports** - All required ports free
2. **Database** - Connection, pool, migrations OK
3. **API Contract** - Frontend ↔ Backend match
4. **Data Flow** - No dead ends or loops
## Port Check
```bash
for port in 3000 3001 5432 6379 8080; do
lsof -i :$port > /dev/null 2>&1 && echo "⚠️ $port IN USE" || echo "✅ $port free"
done
```
## Database Check
```bash
pg_isready -h localhost -p 5432 && echo "✅ PostgreSQL OK"
redis-cli ping && echo "✅ Redis OK"
```
## Flow Analysis
Look for:
- **Dead ends**: Output never consumed
- **Orphan inputs**: Input never provided
- **Bottlenecks**: High in-degree (>3 inputs)
- **Circular deps**: A → B → A
## Common Blocks
```typescript
// ❌ No timeout
await fetch(url)
// ✓ With timeout
const ctrl = new AbortController()
setTimeout(() => ctrl.abort(), 5000)
await fetch(url, { signal: ctrl.signal })
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