| name | media-library |
| description | Use when working with a media library manages digital assets including images, videos, and |
| metadata | {"author":"amnadtaowsoam"} |
Media Library
Skill Profile
(Select at least one profile to enable specific modules)
Overview
A media library manages digital assets including images, videos, and documents. This guide covers upload, processing, organization, and CDN integration for building scalable media management systems.
Why This Matters
- Performance: Optimized media reduces bandwidth and improves load times
- Scalability: Proper storage and CDN integration handles growing media libraries
- User Experience: Fast, reliable media delivery improves user satisfaction
- Security: Proper validation prevents malicious file uploads
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:
- File uploads (images, videos, documents)
- Folder structure for organization
- Metadata extraction requirements
- CDN configuration settings
- Entry Conditions:
- Cloud storage account configured (S3, GCS, etc.)
- CDN distribution set up (CloudFront, Cloudflare, etc.)
- Database schema created for media metadata
- File processing libraries installed (Sharp, FFmpeg)
- Outputs:
- Processed media files with optimized formats
- Generated thumbnails and derivatives
- CDN URLs for media delivery
- Metadata records in database
- Artifacts Required (Deliverables):
- Media upload API endpoints
- File processing pipeline
- Database schema and migrations
- CDN integration configuration
- Acceptance Evidence:
- Successful upload test report
- Processing performance benchmarks
- CDN delivery speed metrics
- Security audit results
- Success Criteria:
- Upload success rate ≥ 99%
- Image processing time < 5 seconds
- CDN cache hit rate ≥ 80%
- File size reduction ≥ 30% after optimization
Skill Composition
- Depends on: File Storage (
13-file-storage/), Authentication (10-authentication-authorization/)
- Compatible with: Contentful Integration (
33-content-management/contentful-integration/), CDN Delivery (37-video-streaming/cdn-delivery/)
- Conflicts with: None
- Related Skills: contentful-integration, file-storage
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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