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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 または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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.
| 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