메뉴
Structured markdown logging for multi-agent design workflows. Appends formatted events to workflow_log.md with timestamps, phase info, and agent activity. Use when recording workflow progress, phase transitions, Critic verdicts, or final summaries.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | workflow-logger |
| description | Structured markdown logging for multi-agent design workflows. Appends formatted events to workflow_log.md with timestamps, phase info, and agent activity. Use when recording workflow progress, phase transitions, Critic verdicts, or final summaries. |
python3 .github/skills/workflow-logger/scripts/workflow-logger.py init --folder generated_docs_[TIMESTAMP] --project "Project Name"
python3 .github/skills/workflow-logger/scripts/workflow-logger.py phase --folder generated_docs_[TIMESTAMP] --phase "Phase 1: Research" --agents "Researcher x3"
python3 .github/skills/workflow-logger/scripts/workflow-logger.py event --folder generated_docs_[TIMESTAMP] --message "Research complete. 3 files created."
python3 .github/skills/workflow-logger/scripts/workflow-logger.py verdict --folder generated_docs_[TIMESTAMP] --iteration 2 --verdict CONDITIONAL --critical 0 --major 2 --minor 1 --issues '[{"severity":"MAJOR","section":"4","issue":"Specific instance nodes in diagram","action":"Replace with abstract fleet node"},{"severity":"MINOR","section":"5","issue":"Mindmap exceeds 10 elements","action":"Consolidate items"}]'
If issues JSON is not available, fall back to summary:
python3 .github/skills/workflow-logger/scripts/workflow-logger.py verdict --folder generated_docs_[TIMESTAMP] --iteration 2 --verdict CONDITIONAL --critical 0 --major 2 --minor 1 --summary "Diagram issues and missing monitoring details"
python3 .github/skills/workflow-logger/scripts/workflow-logger.py complete --folder generated_docs_[TIMESTAMP] --iterations 3
The script appends formatted markdown to workflow_log.md:
# Workflow Execution Log
Project: Fish TTS Autoscaling
Started: 2026-02-10 17:28:21
Status: In Progress
## Execution Timeline
### [2026-02-10 17:28:21] Phase 1: Research
- Activated: Researcher x3
- Status: In progress
### [2026-02-10 17:30:45] Review - Iteration 2/5
- Verdict: CONDITIONAL
- Critical: 0, Major: 2, Minor: 1
- Key feedback: Diagram issues and missing monitoring details
## Final Summary
- Status: COMPLETED
- Total iterations: 3
- Completion time: 2026-02-10 17:42:15
- Processing time: 13m 54s
- Documents approved: YES
- Next steps: Invoke DevOps agent with 'deploy' command
AWS infrastructure reference knowledge for Terraform deployment, AWS services configuration, AMI building with GPU/NVIDIA drivers, and deployment troubleshooting. Provides production-ready reference docs for ALB, ASG, Lambda, CloudWatch, Image Builder, and Terraform IaC patterns.
Detects infinite loops and stale iterations in design-review cycles. Compares Critic feedback across iterations to find repeated issues. Use when managing iterative review workflows to prevent wasted cycles on unresolvable issues.
Manages workflow state for multi-agent design workflows. Tracks current phase, iteration count, document status, and agent activity. Use when orchestrating multi-phase workflows that need persistent state between agent invocations, or when checking workflow progress.