A professional-grade tool for researching AWS service best practices and performing live resource assessments against official documentation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aws-best-practice-research
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install aws-best-practice-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AWS Best Practice Research & Live Assessment?
The AWS Best Practice Research skill is a specialized AI agent workflow designed for cloud architects and DevOps engineers. It leverages the Openclaw Skills framework to systematically crawl AWS documentation, extracting critical requirements for High Availability (HA), Disaster Recovery (DR), and Security. Beyond simple research, it can perform real-time audits of your live AWS environment to identify configuration drifts and compliance gaps.
This skill ensures that your infrastructure aligns with the AWS Well-Architected Framework by bridging the gap between official documentation and your actual resource configuration. By utilizing Openclaw Skills, users can transform dense documentation into actionable, prioritized markdown reports and automated remediation plans.
AWS Best Practice Research & Live Assessment Use Cases
- Compiling comprehensive HA/DR and security checklists for new AWS service deployments.
- Auditing existing AWS resources like RDS, ElastiCache, or EKS against official best practices.
- Preparing for AWS Well-Architected reviews with automated evidence collection.
- Standardizing infrastructure-as-code (IaC) requirements based on the latest AWS recommendations.
- Identifying critical security misconfigurations such as missing encryption or weak authentication.
How AWS Best Practice Research & Live Assessment Works
- Scope Identification: The agent determines the target AWS service and focus areas (e.g., Security, Resilience) from user input.
- Sequential Doc Search: It performs five distinct, rate-limited searches using the aws-knowledge-mcp-server to gather context.
- Deep Documentation Reading: The agent extracts detailed technical requirements from Well-Architected Lens pages and official user guides.
- Item Categorization: Extracted items are organized into five mandatory categories: HA, DR, Failover Planning, Security, and General Operations.
- Optional Live Audit: If credentials are provided, the agent executes AWS CLI commands to compare live configurations against the checklist.
- Report Generation: A timestamped Markdown report is generated, featuring PASS/FAIL statuses, finding details, and remediation steps.
AWS Best Practice Research & Live Assessment Setup
To use this Openclaw Skills capability, you must have the aws-knowledge-mcp-server configured.
# Ensure AWS CLI and jq are installed for live assessments
# Configure your AWS credentials
aws configure
# The skill requires the following MCP tools:
# - aws___search_documentation
# - aws___read_documentation
# - aws___recommend
AWS Best Practice Research & Live Assessment Data Schema & Taxonomy
The skill generates structured reports with a clear taxonomy for resource management:
| Data Point | Format | Description |
|---|---|---|
| Check ID | CAT-XX-priority |
e.g., SEC-01-hi for High Priority Security items. |
| Status | PASS/FAIL/WARN |
Visual indicator of resource compliance. |
| Source Tags | WA-REL, WA-SEC |
Mapping to Well-Architected Pillars. |
| File Name | YYYY-MM-DD-service.md |
Standardized naming for audit trail logging. |
AWS Best Practice Research & Live Assessment Advanced Features
- Multi-Pillar Analysis: Simultaneously assesses Reliability, Security, Performance, and Operational Excellence.
- Automated Remediation: Suggests specific AWS CLI commands to fix identified 'FAIL' items.
- Infrastructure-Only Scope: Automatically filters out workload-level noise for container platforms like EKS/ECS to focus on verifiable AWS API metrics.
- Rate-Limit Intelligence: Built-in 5-second backoff logic to ensure reliable data retrieval from AWS documentation servers.
SKILL.md
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