Skill UI

Guides automating Affinda tasks through Composio's Rube MCP client, detailing connection setup, tool discovery, multi-tool execution, and reminders about schema searches, sessions, and pagination safety.

This comprehensive guide serves as a blueprint for building reliable, production-grade AI applications powered by LLMs. It moves beyond simple demos, covering critical real-world challenges such as prompt optimization for cost reduction, structured output validation, handling hallucinations, and building robust safety and defense layers. Learn to treat prompts as code and ensure enterprise-level reliability.

Use the Azure AI Content Safety SDK for Java to build content moderation pipelines that analyze text and images, manage blocklists, and enforce policy decisions in applications needing proactive safety controls.

Use the Azure AI Content Safety SDK for Java to build content moderation pipelines that analyze text and images, manage blocklists, and enforce policy decisions in applications needing proactive safety controls.

Systematic code maturity assessment using Trail of Bits' 9-category framework, analyzing arithmetic safety, access controls, documentation, MEV risks, testing, and more to deliver evidence-backed scorecards and actionable recommendations.

Provides a strict conventional-commit workflow for Sentry projects, enforcing branch safety, commit formats, issue references, and AI attribution whenever a commit is created or prepared.

A modern C++ coding standard derived from the C++ Core Guidelines, enforcing RAII, immutability, type safety, and explicit intent when writing, reviewing, or architecting C++17/20/23 codebases.

Guides engineers through initializing MCUs, crafting RTOS-aware drivers, and tuning power/timing for STM32, ESP32, and bare-metal targets; covers constraint analysis, interrupt safety, resource tracking, and validation with static analysis and real-time debugging.

This skill enforces a mandatory, comprehensive quality loop for all code changes. It guides users through running multiple specialized validation tools—including linters, type checkers, and security scanners—for diverse ecosystems (e.g., Node.js/TypeScript, Python). It ensures that code is robust, adheres to established style guides, and maintains type safety across all components before it can be considered complete or committed.

Manages and automates deployment rollbacks with safety checks, ensuring rapid recovery from failed releases by reverting to known-good versions and verifying system health.

This skill provides a comprehensive set of cross-language patterns and best practices for achieving memory-safe systems programming. It covers fundamental concepts such as RAII, ownership models, smart pointers, and robust resource management. Use this guide when writing low-level or systems code, managing critical resources (files, sockets, memory), or debugging complex memory issues to prevent use-after-free errors and memory leaks.

Expert in writing, reviewing, and debugging idiomatic Rust code. This skill covers deep systems programming concepts, including mastering ownership, lifetimes, and borrowing patterns for guaranteed memory safety. Specializes in building high-performance, concurrent async applications using Tokio, and designing robust APIs using advanced trait hierarchies. Ideal for projects requiring zero-cost abstractions and maximum reliability.