Skill UI

This skill classifies failed Agent QA runs by analyzing recorded evidence, artifacts, and logs. It determines failure categories, confidence levels, and suggests actionable next steps for debugging. It helps identify issues like timeouts, element not found, or infrastructure problems without guessing, ensuring accurate triage before fixing.

Use this skill to deeply inspect and audit the entire process of local AI coding-agent sessions. It tracks critical operational metrics such as token consumption, cost spikes, tool failures, latency anomalies, and overall health scores. Ideal for debugging unreliable code runs, establishing CI/CD health gates, or comparing different attempts to ensure semantic accuracy.

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Ensures graceful degradation and clear failure modes. Capable of agent architecture design, tool calling, memory management, and debugging complex agent systems.

A comprehensive guide for building production-ready Android applications. Covers native development with Kotlin and Java, cross-platform frameworks like Flutter and React Native, and hybrid architectures. Includes best practices for architecture, UI design, testing, CI/CD pipelines, performance optimization, and debugging to ensure high-quality app delivery.

This skill helps developers master modern Angular state management patterns including Signals, NgRx, and RxJS. It covers setting up global state, managing component stores, choosing between state solutions, and migrating from legacy patterns. Use it for debugging state issues or implementing optimistic updates in Angular applications.

This skill provides authorized security techniques for analyzing protected binaries and malware. It is designed for educational purposes, penetration testing, and CTF competitions. Users must confirm written authorization before bypassing protections or extracting data. It focuses on understanding anti-debugging and obfuscation for defensive security research.

Comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing. Covers vulnerability discovery, authentication bypass, IDOR exploitation, injection attacks, and API-specific vectors.

Design and implement robust API integrations using expert patterns for REST, GraphQL, and webhooks. Focus on contract-first design, resilience, observability, and security. Includes strategies for authentication, rate limiting, error handling, and debugging to ensure production-ready solutions.

A specialized workflow guide for comprehensive security testing of REST and GraphQL APIs. It systematically covers critical security aspects such as authentication validation (OAuth2, JWT), authorization checks (IDOR, privilege escalation), input validation (SQL/NoSQL injection), rate limiting enforcement, and secure error handling. Ideal for vulnerability assessment, bug bounty programs, and pre-deployment security audits.

This skill provides an end-to-end pipeline for Android APK security assessments. It includes inventorying developer apps, acquiring APKs from sources like APKPure, decompiling DEX files using jadx, and searching for hardcoded secrets like API keys and internal IPs. Suitable for authorized bug bounty engagements and red team operations targeting mobile applications.

This skill enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding. It applies First Principles and 5 Whys at a micro scale to maintain a stable mental model. Used for security auditing, architecture review, and threat modeling to reduce hallucinations and ensure bottom-up understanding.

AWT provides AI coding tools with visual perception and interaction capabilities for web applications. It executes declarative YAML test scenarios using Playwright, featuring visual matching via OpenCV and OCR without relying on stable DOM selectors. Supports platform auto-detection for frameworks like React and Vue, includes structured failure diagnosis, and maintains a learning database for failure patterns. Ideal for end-to-end testing workflows requiring visual assertions and AI-assisted debugging.