Skill UI

This skill provides comprehensive guides and code templates for implementing major NFT standards, including ERC-721 and ERC-1155. It covers best practices for metadata (on-chain and IPFS), managing token supply, implementing complex features like royalties, and building various types of digital collectibles and gaming assets on the blockchain.

Guides developers through when and how to apply property-based testing across serializers, validators, normalizers, and smart contracts, highlighting properties, priorities, and workflow steps that complement existing unit testing efforts.

This skill demonstrates the multi-model pattern for creating robust and clean API contracts using Pydantic. It guides the creation of separate models for creation requests (Create), updates (Update), responses (Response), and database documents (InDB), ensuring type safety and clear data validation for Python backends. It also covers best practices like handling camelCase aliases and optional fields.

This skill guides the mastery of smart contract security best practices for Solidity. It is essential for writing robust, secure, and efficient contracts, auditing existing code for common vulnerabilities (such as reentrancy, overflow, and access control issues), and implementing secure DeFi protocols. It focuses on preventing common attack vectors while optimizing gas usage.

This skill generates comprehensive Technical Design Documents (TDDs), guiding users through structuring architectural decisions, implementation plans, and risk assessments. It follows industry best practices from standards like Google Design Docs, RFC patterns, and ADRs. It focuses on high-level contracts and architectural 'what' and 'why', rather than specific, low-level implementation code.

Document outlines testing strategies such as contract, snapshot, mutation, property-based, integration with containers, and disciplined test organization to help teams design reliable suites that cover behavior, API contracts, and invariants.

Scans FunC-based TON smart contracts for boolean, Jetton, and gas handling vulnerabilities, reporting critical issues with file references and offering remediation guidance for auditors and secure dApp launches.

Validates API contracts using Pact and OpenAPI, generating consumer-driven contract tests, verifying responses, and ensuring backward compatibility for CI/CD workflows.

This tool rigorously validates API schemas against industry standards, including OpenAPI 3.0/3.1, JSON Schema, and GraphQL SDL. It performs structural analysis to detect incomplete schemas, inconsistent naming, undocumented endpoints, and critical breaking changes. Use it within your CI/CD pipeline to ensure API contracts are robust, compliant, and maintainable before release.

Master advanced testing strategies for smart contracts using industry-leading frameworks like Hardhat and Foundry. This skill covers unit testing, integration testing, gas optimization analysis, fuzzing for edge cases, and simulating real-world mainnet interactions via forking. Ideal for ensuring the security and reliability of decentralized applications (DApps).

Outlines principles and practices for building secure contracts, covering threat modeling, vulnerability mitigation, and deployment readiness to help teams reduce risk when launching automated agreements.

A comprehensive design specification detailing 98 rules for building Command Line Interface (CLI) tools that are safe, reliable, and easily consumable by AI agents. It covers structured JSON output formats, standardized error handling (to stderr), robust input contracts, safety guardrails (e.g., preventing path traversal), and tiered compliance levels (Agent-Friendly, Agent-Ready, Agent-Native) for seamless integration into AI workflows.