| name | device-management |
| description | Device management handles complete lifecycle of IoT devices from registration Use when this capability is needed. |
| metadata | {"author":"amnadtaowsoam"} |
Device Management
Skill Profile
(Select at least one profile to enable specific modules)
Overview
Device management handles complete lifecycle of IoT devices from registration to decommissioning. This guide covers device twins, OTA updates, and AWS IoT Core integration for managing large fleets of IoT devices efficiently and securely.
Why This Matters
- Lifecycle Management: Complete device lifecycle from registration to decommissioning
- Scalability: Manage millions of devices efficiently
- Security: Secure device authentication and credential management
- OTA Updates: Over-the-air firmware updates for remote maintenance
Core Concepts & Rules
1. Core Principles
- Follow established patterns and conventions
- Maintain consistency across codebase
- Document decisions and trade-offs
2. Implementation Guidelines
- Start with the simplest viable solution
- Iterate based on feedback and requirements
- Test thoroughly before deployment
Inputs / Outputs / Contracts
- Inputs:
- Device information (type, manufacturer, model)
- Serial number
- Firmware version
- Configuration data
- Entry Conditions:
- Database configured (PostgreSQL)
- MQTT broker available (AWS IoT Core)
- Certificate authority set up
- Storage for firmware files ready
- Outputs:
- Device ID
- Device credentials (certificate, private key)
- Device shadow/state
- OTA update status
- Artifacts Required (Deliverables):
- Device registration service
- Device authentication service
- Device shadow service
- Configuration management service
- Firmware update service
- Device monitoring service
- Acceptance Evidence:
- Device registered successfully
- Device authenticates correctly
- Device state synchronized
- OTA updates deployed
- Success Criteria:
- Device registration success rate 99%
- Authentication accuracy 100%
- OTA update success rate 95%
- Support 1M+ devices
Skill Composition
- Depends on: IoT Protocols (
36-iot-integration/iot-protocols/), IoT Security (36-iot-integration/iot-security/)
- Compatible with: Real-time Monitoring (
36-iot-integration/real-time-monitoring/), Sensor Data Processing (36-iot-integration/sensor-data-processing/)
- Conflicts with: None
- Related Skills: iot-protocols, iot-security
Quick Start / Implementation Example
- Review requirements and constraints
- Set up development environment
- Implement core functionality following patterns
- Write tests for critical paths
- Run tests and fix issues
- Document any deviations or decisions
def example_function():
pass
Assumptions / Constraints / Non-goals
- Assumptions:
- Development environment is properly configured
- Required dependencies are available
- Team has basic understanding of domain
- Constraints:
- Must follow existing codebase conventions
- Time and resource limitations
- Compatibility requirements
- Non-goals:
- This skill does not cover edge cases outside scope
- Not a replacement for formal training
Compatibility & Prerequisites
- Supported Versions:
- Python 3.8+
- Node.js 16+
- Modern browsers (Chrome, Firefox, Safari, Edge)
- Required AI Tools:
- Code editor (VS Code recommended)
- Testing framework appropriate for language
- Version control (Git)
- Dependencies:
- Language-specific package manager
- Build tools
- Testing libraries
- Environment Setup:
.env.example keys: API_KEY, DATABASE_URL (no values)
Test Scenario Matrix (QA Strategy)
| Type | Focus Area | Required Scenarios / Mocks |
|---|
| Unit | Core Logic | Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage |
| Integration | DB / API | All external API calls or database connections must be mocked during unit tests |
| E2E | User Journey | Critical user flows to test |
| Performance | Latency / Load | Benchmark requirements |
| Security | Vuln / Auth | SAST/DAST or dependency audit |
| Frontend | UX / A11y | Accessibility checklist (WCAG), Performance Budget (Lighthouse score) |
Technical Guardrails & Security Threat Model
1. Security & Privacy (Threat Model)
- Top Threats: Injection attacks, authentication bypass, data exposure
2. Performance & Resources
3. Architecture & Scalability
4. Observability & Reliability
Agent Directives & Error Recovery
(ข้อกำหนดสำหรับ AI Agent ในการคิดและแก้ปัญหาเมื่อเกิดข้อผิดพลาด)
- Thinking Process: Analyze root cause before fixing. Do not brute-force.
- Fallback Strategy: Stop after 3 failed test attempts. Output root cause and ask for human intervention/clarification.
- Self-Review: Check against Guardrails & Anti-patterns before finalizing.
- Output Constraints: Output ONLY the modified code block. Do not explain unless asked.
Definition of Done (DoD) Checklist
Anti-patterns / Pitfalls
- ⛔ Don't: Log PII, catch-all exception, N+1 queries
- ⚠️ Watch out for: Common symptoms and quick fixes
- 💡 Instead: Use proper error handling, pagination, and logging
Reference Links & Examples
- Internal documentation and examples
- Official documentation and best practices
- Community resources and discussions
Versioning & Changelog
- Version: 1.0.0
- Changelog:
- 2026-02-22: Initial version with complete template structure
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