Skill UI

Expert in developing complete, high-performance firmware and peripheral drivers for ARM Cortex-M platforms (STM32, Teensy, nRF52). Specializes in low-level hardware interaction, including implementing drivers for I²C, SPI, UART, and managing complex concurrency patterns using FreeRTOS/Zephyr. Provides critical guidance on optimizing for determinism, cache coherency, DMA transfers, and memory barriers to ensure reliable embedded system operation.

Scans ERC20 approvals, interactions, and history to calculate wallet risk scores, flag suspicious behaviors, and generate revocation recommendations for crypto security reviews.

Scans ERC20 approvals, interactions, and history to calculate wallet risk scores, flag suspicious behaviors, and generate revocation recommendations for crypto security reviews.

A comprehensive guide and implementation patterns for constructing sophisticated autonomous AI agents. It details the core 'Observe-Think-Decide-Act' agent loop, multi-model orchestration strategies, and robust tool design principles (like file I/O and function calling). Ideal for building complex, highly capable agents that require advanced planning, reasoning, and external tool interaction.

A comprehensive guide and implementation patterns for constructing sophisticated autonomous AI agents. It details the core 'Observe-Think-Decide-Act' agent loop, multi-model orchestration strategies, and robust tool design principles (like file I/O and function calling). Ideal for building complex, highly capable agents that require advanced planning, reasoning, and external tool interaction.

Generates stakeholder-friendly C4 context-level documentation, covering personas, user journeys, features, external dependencies, and Mermaid diagrams to clarify system boundaries and interactions.

Automate Clickmeeting interactions through Composio’s Rube MCP toolkit by always discovering up-to-date tools, checking active connections, and executing RUBE_MULTI_EXECUTE_TOOL with schema-compliant arguments.

This skill set provides advanced, structured strategies for optimizing Large Language Model (LLM) interactions. It covers techniques such as intelligent context summarization, dynamic trimming, context routing, and precise token budget allocation to prevent 'context rot'. It is essential for building robust, long-running, multi-turn conversational AI systems.

Provides targeted guidance for improving LCP, INP, and CLS to boost page experience and search rankings, with checklists, issue breakdowns, and actionable fixes for rendering and interaction bottlenecks.

Feature Engineering Toolkit automates creating, selecting, and transforming dataset features to improve machine learning models; use it whenever you need new interactions, automatic selection, scaling, or encoding to boost accuracy and interpretability.

This skill provides deep web scraping capabilities, allowing users to extract complex content, take screenshots, and parse PDFs from web pages. It handles advanced interactions like clicking and scrolling, making it ideal for detailed data gathering, batch URL processing, and complex web content analysis.

An expert skill dedicated to building secure, robust frontend applications. It specializes in preventing client-side vulnerabilities such as XSS and clickjacking. Core capabilities include safe DOM manipulation, implementing Content Security Policy (CSP), advanced input sanitization (allowlisting), and securing complex interactions like secure redirects and session management.