logging-migrator

Migrate logging infrastructure with format standardization, structured logging, and aggregation setup

509 stars

Best use case

logging-migrator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Migrate logging infrastructure with format standardization, structured logging, and aggregation setup

Teams using logging-migrator 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

$curl -o ~/.claude/skills/logging-migrator/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/code-migration-modernization/skills/logging-migrator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/logging-migrator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How logging-migrator Compares

Feature / Agentlogging-migratorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Migrate logging infrastructure with format standardization, structured logging, and aggregation setup

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

# Logging Migrator Skill

Migrates logging infrastructure, handling log format standardization, structured logging conversion, and aggregation setup.

## Purpose

Enable logging modernization for:
- Log format standardization
- Structured logging conversion
- Log aggregation setup
- Correlation ID injection
- Retention policy migration

## Capabilities

### 1. Log Format Standardization
- Define standard format
- Convert existing logs
- Implement across services
- Validate compliance

### 2. Structured Logging Conversion
- Convert to JSON format
- Add metadata fields
- Handle custom fields
- Support multiple languages

### 3. Log Aggregation Setup
- Configure centralized logging
- Set up log shipping
- Handle high volume
- Implement failover

### 4. Correlation ID Injection
- Implement trace IDs
- Propagate across services
- Handle async operations
- Enable distributed tracing

### 5. Log Level Normalization
- Standardize log levels
- Map between frameworks
- Configure filtering
- Handle verbosity

### 6. Retention Policy Migration
- Define retention rules
- Implement rotation
- Handle archival
- Manage storage

## Tool Integrations

| Tool | Purpose | Integration Method |
|------|---------|-------------------|
| ELK Stack | Log aggregation | Config |
| Datadog | Observability | API |
| Splunk | Log analysis | API |
| Loki | Log aggregation | Config |
| Fluentd | Log shipping | Config |

## Output Schema

```json
{
  "migrationId": "string",
  "timestamp": "ISO8601",
  "logging": {
    "format": "string",
    "aggregation": {
      "tool": "string",
      "endpoint": "string"
    },
    "retention": {
      "days": "number",
      "archival": "boolean"
    }
  },
  "services": [
    {
      "name": "string",
      "status": "migrated|pending",
      "logFormat": "string"
    }
  ]
}
```

## Integration with Migration Processes

- **logging-observability-migration**: Primary migration tool
- **cloud-migration**: Cloud logging setup

## Related Skills

- `performance-baseline-capturer`: Observability metrics

## Related Agents

- `observability-migration-agent`: Full observability
- `operational-readiness-agent`: Operations setup

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