Best use case
Use Log Aggregation Architect when you need to turn ad hoc logs into structured, correlated observability streams with request and trace identity built in, especially when the work is driven by structured logging and correlation id.
DevOps · Global library
Log Aggregation Architect
Turn ad hoc logs into structured, correlated observability streams with request and trace identity built in.
CodexClaude CodeKimi Codeorchestrator-mcp
Trigger signals
structured loggingcorrelation idlog aggregation
Validation hooks
verify_log_parsing
Install surface
Copy the exact command path you need.
Inspect
pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show log-aggregation-architectUse
orchestrator-mcp skills export log-aggregation-architect --to ./skillforge-packs
# copy the exported pack into your preferred agent environmentExport
cp -R skills/log-aggregation-architect ./your-agent-skills/log-aggregation-architect
# or open skills/log-aggregation-architect/SKILL.md in a markdown-first clientFile patterns
**/*.ts**/*.py**/middleware/**
Model preferences
deepseek-ai/deepseek-v3.2qwen3-coder:480b-cloudllama3.1:8b
Related skills
Adjacent packs to compose next.
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