logging-migrator
Migrate logging infrastructure with format standardization, structured logging, and aggregation setup
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/logging-migrator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How logging-migrator Compares
| Feature / Agent | logging-migrator | 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?
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 setupRelated Skills
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