Skill UI

Verifies that blockchain code precisely implements documented specifications by comparing logic, invariants, flows, and assumptions against whitepapers or design documents, flagging undocumented behavior, mismatches, and compliance gaps during audit engagements.

Automate Starton blockchain workflows through Composio’s Rube MCP, always fetching tool schemas, validating the Starton connection, and executing schema-compliant commands via RUBE_MULTI_EXECUTE_TOOL while managing sessions and memory parameters.

Guides building Telegram Mini Apps (TWA) with web technologies, TON blockchain, Telegram Web App API, crypto payments, TonConnect, user auth, and viral UX patterns so teams can launch games, DeFi, or monetized utilities inside Telegram.

Analyzes token implementations and integrations with ERC20/ERC721 standards, checks 20+ weird token patterns, assesses owner privileges, contract composition, and on-chain scarcity to highlight risks before deployment.

A comprehensive tool designed to monitor new token launches across various Decentralized Exchanges (DEXs). It detects new pair creation events, fetches detailed token metadata, and performs deep contract risk analysis. The analysis checks for critical indicators such as mint functions, proxy patterns, blacklists, and ownership status, helping users safely track market activity on major chains like Ethereum, Base, and BSC.

This skill provides deep, practical expertise in TypeScript and JavaScript, covering advanced type-level programming, performance optimization, and complex build toolchain management. It is ideal for architects building large-scale, highly performant, and type-safe corporate applications, including monorepo setup and intricate dependency resolution.

Provides an OWASP 2025-aligned vulnerability scanning mindset, supply chain defenses, attack surface mapping, and risk prioritization guidance with runtime scripts for automated validation of modern application security.

This skill simulates an expert software engineer and systems analyst. It is designed for deep, evidence-based understanding of complex codebases. Users can ask "how does X work" or request architectural reviews, ensuring every claim is grounded in actual code paths, data flows, and dependency chains, following a rigorous multi-iteration process.

Generates minimal macOS Seatbelt sandbox profiles with allowlist-based resource rules so apps can be isolated by permissions, useful for restricting file, network, and IPC access when defending against high-risk execution or supply chain threats.

A comprehensive security scanner designed to audit AI agent skills before deployment. It analyzes source code (Python, Bash, JS), detects critical vulnerabilities like command injection, network exfiltration, and unsafe deserialization. Furthermore, it scans markdown files for prompt injection attacks, and assesses dependency supply chain risks, providing a clear PASS/WARN/FAIL verdict and remediation guidance.

This expert skill reviews the architecture and design of the Bitcoin Lightning Network protocol. It analyzes complex Layer 2 scaling tradeoffs, compares various channel factory approaches, and evaluates critical technical aspects—including trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support. Use this when assessing the cryptographic and systemic soundness of L2 blockchain protocols.

This skill provides comprehensive techniques for optimizing prompts used with any Large Language Model (LLM). It teaches proven methodologies—including Role definition (R), Context setting (S), Constraints (C), Instructions (I), and Templates (T)—to transform vague inputs into precision-engineered instructions. Users can reliably achieve structured JSON output, implement Chain-of-Thought reasoning, reduce hallucinations, and minimize token usage, ensuring consistent and high-quality results across different AI platforms.