google-agents-cli-scaffold
Project scaffolding, deployment configuration, and CI/CD setup for Google ADK agents.
review-docs
A management skill for systematically reviewing documentation. Assign one docs-curator agent per document to ensure thorough investigation.
Full skill instructions
A management skill for systematically reviewing documentation. Assign one docs-curator agent per document to ensure thorough investigation.
Activate when:
Key indicators:
Assigning multiple documents to a single agent dilutes review quality. Each document requires:
Always assign one docs-curator agent per document.
List the documents that need review:
# List project proposals
ls docs/projects/*/proposal.md
# List project plans
ls docs/projects/*/plan.md
# List architecture docs
ls docs/architecture/*.md
# List specifications
ls docs/specifications/*.md
Or use Glob to find specific patterns:
docs/projects/*/proposal.md - All project proposalsdocs/projects/*/plan.md - All project plansdocs/projects/*/sessions/*.md - All project sessionsdocs/architecture/*.md - All architecture docsdocs/specifications/*.md - All specificationsDifferent document types have different review goals:
Temporal Documents (check for completion/archival):
docs/projects/*/proposal.md - Archive project when implementeddocs/projects/*/plan.md - Archive project when completedocs/investigations/ - Archive when concludeddocs/reports/ - Archive when acted uponEvergreen Documents (check for accuracy):
docs/architecture/ - Update to match current codedocs/specifications/ - Update to match current application behaviordocs/playbooks/ - Update if procedures changeddocs/lessons-learned/ - Update if solutions evolveddocs/interaction-design/ - Update to match current UXLaunch one docs-curator agent per document using the Task tool:
Task(
subagent_type: "docs-curator",
description: "Review [document-name]",
prompt: "Review this document for accuracy and implementation status:
**Document:** docs/projects/feature-x/proposal.md
Read the document, search the codebase for evidence of implementation,
check git history for related commits, and provide your findings with
the recommended action (archive, update, no action)."
)
For parallel efficiency, launch multiple agents in a single message:
// Launch 4 agents in parallel, one per document
Task(...doc1...)
Task(...doc2...)
Task(...doc3...)
Task(...doc4...)
As agents complete, collect their findings:
Group by recommended action:
Present summary to user:
## Documentation Review Results
### Ready to Archive (5 documents)
- projects/feature-x/ - Fully implemented
- projects/feature-y/ - Superseded by feature-z ...
### Needs Update (2 documents)
- architecture/api-design.md - Section 3 outdated ...
### Current (3 documents)
- playbooks/deployment.md - Accurate ...
Get user approval before taking action
For approved archives:
_archive/ subfolderFor approved updates:
For large documentation sets:
| Doc Count | Approach |
|---|---|
| 1-5 | Review all in parallel |
| 6-15 | Batch into 2-3 waves |
| 16+ | Prioritize by age/importance, review subset |
Prioritization criteria:
Copy and customize for each document:
Review this document for accuracy and implementation status:
**Document:** [full path to document]
**Document Type:** [Proposal | Plan | Architecture | etc.]
Tasks:
1. Read the full document
2. Search codebase for mentioned features/components
3. Check git log for related commits
4. Determine implementation/accuracy status
5. Recommend action: Archive | Update | No Action
Provide findings in the standard docs-curator output format.
# 1. List active project proposals (excluding archive)
ls docs/projects/*/proposal.md | grep -v archive
# Result: 8 projects to review
# 2. Launch 4 agents in parallel (first batch)
Task(subagent_type: "docs-curator", description: "Review project-a proposal", prompt: "...")
Task(subagent_type: "docs-curator", description: "Review project-b proposal", prompt: "...")
Task(subagent_type: "docs-curator", description: "Review project-c proposal", prompt: "...")
Task(subagent_type: "docs-curator", description: "Review project-d proposal", prompt: "...")
# 3. After first batch completes, launch remaining 4
Task(subagent_type: "docs-curator", description: "Review project-e proposal", prompt: "...")
...
# 4. Consolidate results and present to user
"8 projects reviewed:
- 5 ready for archive (fully implemented)
- 2 partially complete (list what remains)
- 1 not started
Would you like me to archive the 5 completed project folders?"
After consolidating results, generate a report document:
docs/reports/YYYY-MM-DD-doc-status-report.mdReport sections:
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