nft-integration

id: SKL-nft-NFTINTEGRATION name: Nft Integration description: NFTs (Non-Fungible Tokens) are unique digital assets on the blockchain. This guide covers ERC-721, ERC-1155, minting, metadata, and marketplace integration for building NFT-based applications. version: 1.0.0 status: active owner: '@cerebra-team' last_updated: '2026-02-22' category: Backend tags:

• api
• backend
• server
• database stack:
• Python
• Node.js
• REST API
• GraphQL difficulty: Intermediate

Nft Integration

Skill Profile

(Select at least one profile to enable specific modules)

• DevOps
• Backend
• Frontend
• AI-RAG
• Security Critical

Overview

NFTs (Non-Fungible Tokens) are unique digital assets on the blockchain. This guide covers ERC-721, ERC-1155, minting, metadata, and marketplace integration for building NFT-based applications.

Why This Matters

• Uniqueness: Each NFT is unique and verifiable on-chain
• Ownership: True digital ownership with blockchain verification
• Interoperability: Standard ERC standards for cross-platform compatibility
• Creator Economy: Royalties and secondary market revenue for creators

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:
  • NFT metadata (name, description, attributes)
  • Image file for NFT
  • Recipient wallet address
  • Contract address and ABI
• Entry Conditions:
  • Web3 provider configured (MetaMask, WalletConnect, etc.)
  • Smart contract deployed
  • IPFS storage service ready
  • Frontend wallet integration ready
• Outputs:
  • Token ID of minted NFT
  • Transaction hash
  • Metadata URI
  • NFT display data
• Artifacts Required (Deliverables):
  • NFT smart contracts (ERC-721/1155)
  • Minting service
  • IPFS integration service
  • Display service
  • Marketplace integration
• Acceptance Evidence:
  • NFT minted successfully
  • Metadata stored on IPFS
  • NFT displayed correctly
  • Marketplace operations working
• Success Criteria:
  • Minting success rate 99.9%
  • Metadata retrieval latency < 2s
  • Support 1000+ concurrent minting requests
  • Display accuracy 100%

Skill Composition

• Depends on: Wallet Connection (35-blockchain-web3/wallet-connection/), Smart Contracts (35-blockchain-web3/smart-contracts/)
• Compatible with: Cryptocurrency Payment (35-blockchain-web3/cryptocurrency-payment/), Blockchain Authentication (35-blockchain-web3/blockchain-authentication/)
• Conflicts with: None
• Related Skills: smart-contracts, wallet-connection

Quick Start / Implementation Example

1. Review requirements and constraints
2. Set up development environment
3. Implement core functionality following patterns
4. Write tests for critical paths
5. Run tests and fix issues
6. Document any deviations or decisions

# Example implementation following best practices
def example_function():
    # Your implementation here
    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)

Technical Guardrails & Security Threat Model

1. Security & Privacy (Threat Model)

• Top Threats: Injection attacks, authentication bypass, data exposure

• Data Handling: Sanitize all user inputs to prevent Injection attacks. Never log raw PII
• Secrets Management: No hardcoded API keys. Use Env Vars/Secrets Manager
• Authorization: Validate user permissions before state changes

2. Performance & Resources

• Execution Efficiency: Consider time complexity for algorithms
• Memory Management: Use streams/pagination for large data
• Resource Cleanup: Close DB connections/file handlers in finally blocks

3. Architecture & Scalability

• Design Pattern: Follow SOLID principles, use Dependency Injection
• Modularity: Decouple logic from UI/Frameworks

4. Observability & Reliability

• Logging Standards: Structured JSON, include trace IDs request_id
• Metrics: Track error_rate, latency, queue_depth
• Error Handling: Standardized error codes, no bare except
• Observability Artifacts:
  • Log Fields: timestamp, level, message, request_id
  • Metrics: request_count, error_count, response_time
  • Dashboards/Alerts: High Error Rate > 5%

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

• Tests passed + coverage met
• Lint/Typecheck passed
• Logging/Metrics/Trace implemented
• Security checks passed
• Documentation/Changelog updated
• Accessibility/Performance requirements met (if frontend)

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