Skill UI

Scans Algorand TEAL/PyTeal smart contracts for 11 platform-specific vulnerabilities such as rekeying, unchecked fees, group manipulation, and missing access controls, then reports findings with severity, suggested fixes, and optional Tealer automation.

Scans Cairo/StarkNet smart contracts for six critical issues spanning felt252 arithmetic, messaging, access control, and signature replay, reporting severity and fixes to support audits, bridge reviews, and pre-launch security checks.

A comprehensive guide for building production-grade Web3 applications, smart contracts, and decentralized systems. Covers expertise in DeFi protocols, NFT platforms, DAOs, cross-chain interoperability, and advanced smart contract security patterns (Solidity, Rust). Ideal for developers building complex, resilient decentralized finance (DeFi) and enterprise-grade blockchain solutions.

A comprehensive guide derived from C++ Core Guidelines, enforcing modern, safe, and idiomatic practices for C++17, C++20, and C++23. It emphasizes crucial principles like RAII, type safety, immutability, and proper resource ownership using smart pointers. Use this when writing new features, reviewing existing code, or making architectural decisions to ensure code quality and consistency.

Daily News Report orchestrates agents to scrape a curated URL list, filter high-quality technical findings, and compile them into daily Markdown summaries while monitoring batch progress and leveraging smart caching for reliability.

A comprehensive, expert-level workflow for debugging complex software issues in production environments. This skill guides users through initial triage, advanced observability data collection (APM, distributed traces, logs), intelligent hypothesis generation, and full root cause analysis. Use it when dealing with intermittent failures, performance bottlenecks, or needing a complete fix and prevention plan.

This repository provides production-ready, structured templates for building core Decentralized Finance (DeFi) protocols using Solidity. Templates cover essential components such as staking reward systems, Automated Market Makers (AMMs), governance logic, lending/borrowing mechanisms, and flash loans. It is essential for developers aiming to build robust and scalable smart contract applications on blockchain platforms.

Analyzes smart contract codebases to enumerate externally callable state-changing functions, classify their access (public/role/contract-only), and produce structured audit-ready reports for Solidity, Vyper, Solana/Rust, Move, TON, and CosmWasm projects.

A comprehensive, AI-assisted methodology for diagnosing complex software errors in production environments. This skill guides users through the entire debugging lifecycle, from initial triage and gathering observability data (Sentry, DataDog, Jaeger) to generating hypotheses, selecting appropriate debugging strategies (Time-Travel, Chaos Engineering), and performing AI-powered root cause analysis. It culminates in proposing validated fixes and prevention measures.

This comprehensive guide details advanced strategies for optimizing interactions with the Gamma API. It covers critical best practices including implementing smart polling with adaptive backoff, caching static resources (themes, folders), executing parallel batch generations, and minimizing generation latency by tuning content parameters. Essential for developers building robust and high-performance Gamma integrations.

Automatically generates conventional commit messages by analyzing staged Git changes, identifying types and breaking changes, and formatting the result so you can approve standardized commits quickly after running `/commit-smart` or `/gc`.

A comprehensive guide to optimizing Groq API usage and managing inference costs. Learn techniques such as smart model routing (selecting smaller models for simple tasks), minimizing prompt tokens, batching requests to reduce overhead, and implementing caching for deterministic calls. This guide helps developers achieve significant cost savings and improve system efficiency when handling high-volume AI workloads.