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Log Schema Generator

DevOps & Security
log-schema-generator

Log Schema Generator is an Agent Skill for devops & security published in the a5c-ai/babysitter repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Generate structured logging schemas with correlation ID patterns and ELK/Splunk integration

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/software-architecture/skills/log-schema-generator/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/log-schema-generator, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Log Schema Generator Skill

Overview

Generates structured logging schema definitions including log level standards, correlation ID patterns, and ELK/Splunk integration templates.

Capabilities

  • Structured logging schema definition
  • Log level standards (RFC 5424)
  • Correlation ID patterns
  • ELK Stack integration templates
  • Splunk integration templates
  • Log format standardization (JSON, logfmt)
  • Context propagation patterns
  • PII masking rules

Target Processes

  • observability-implementation

Input Schema

{
  "type": "object",
  "required": ["services"],
  "properties": {
    "services": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": { "type": "string" },
          "language": { "type": "string" },
          "framework": { "type": "string" }
        }
      }
    },
    "format": {
      "type": "string",
      "enum": ["json", "logfmt", "ecs"],
      "default": "json"
    },
    "integration": {
      "type": "string",
      "enum": ["elk", "splunk", "datadog", "cloudwatch"],
      "default": "elk"
    },
    "options": {
      "type": "object",
      "properties": {
        "includeCorrelationId": {
          "type": "boolean",
          "default": true
        },
        "includePiiMasking": {
          "type": "boolean",
          "default": true
        },
        "logLevels": {
          "type": "array",
          "default": ["debug", "info", "warn", "error", "fatal"]
        },
        "requiredFields": {
          "type": "array",
          "default": ["timestamp", "level", "message", "service"]
        }
      }
    }
  }
}

Output Schema

{
  "type": "object",
  "properties": {
    "schema": {
      "type": "object",
      "properties": {
        "fields": { "type": "array" },
        "requiredFields": { "type": "array" },
        "format": { "type": "string" }
      }
    },
    "correlationIdPattern": {
      "type": "object",
      "properties": {
        "headerName": { "type": "string" },
        "format": { "type": "string" },
        "propagation": { "type": "string" }
      }
    },
    "integrationConfig": {
      "type": "object",
      "description": "ELK/Splunk configuration"
    },
    "piiMaskingRules": {
      "type": "array"
    },
    "exampleLogs": {
      "type": "array"
    }
  }
}

Usage Example

{
  kind: 'skill',
  skill: {
    name: 'log-schema-generator',
    context: {
      services: [
        { name: 'api-service', language: 'typescript', framework: 'express' }
      ],
      format: 'json',
      integration: 'elk',
      options: {
        includeCorrelationId: true,
        includePiiMasking: true
      }
    }
  }
}