Skill UI

A comprehensive guide for diagnosing and reducing high memory consumption in Qdrant. This resource is crucial when dealing with reports of 'memory leak', 'out of memory', or excessive RAM growth. It details how Qdrant manages resident memory and OS page cache, and provides advanced techniques such as quantization, using float16/int8 data types, and strategically storing components on disk (like HNSW indexes or sparse vectors) to minimize the memory footprint and ensure stable, scalable operation.

A comprehensive guide to writing idiomatic and efficient Elixir code. Covers advanced topics like Pattern Matching, the Pipe Operator, OTP process management, robust error handling using tagged tuples, and efficient collection usage (Streams and comprehensions). Essential reading for intermediate to advanced Elixir developers aiming for production-grade stability.

An expert skill for creating highly optimized, minimal, and fast-starting Windows installers for Python applications. Utilizing advanced techniques like Nuitka's extreme compilation, DLL footprint analysis, and Inno Setup packaging. This process ensures a clean, professional, and resource-efficient deployment, suitable for commercial products, rather than basic script conversion.

A comprehensive guide for designing and auditing rigorous experiments for sensing systems and information processing claims. It emphasizes the necessity of measuring performance on real hardware (not simulation), accurately instrumenting ground truth, quantifying energy consumption, latency, and physical footprint, and establishing fair, skeptical baselines. This ensures scientific rigor and reproducibility in research submissions.

This guide provides a comprehensive audit checklist for designing and evaluating sensor-based systems (SenSys). It mandates rigorous, real-world measurements across five core axes: energy efficiency, on-device latency distribution, ground truth accuracy, deployment realism, and embedded AI footprint. It ensures that research results are based on measured hardware performance, not simulations or idealized baselines.

This advanced tool maps an organization's complete internet footprint by tracing ownership directly from a legal entity (LEI), not just a single seed domain. It discovers owned domains, netblocks, ASNs, and subsidiaries, including 'dark' or unlinked IP space and M&A acquired assets. It provides auditable attribution scoring for robust intelligence gathering.

This library provides the Java SDK to interact with Azure Communication Services (ACS) for sending SMS messages. It supports sending messages to single or multiple recipients, enabling crucial features like delivery reports, custom tagging, and asynchronous operations. Ideal for implementing notification systems, two-factor authentication (OTP), or large-scale bulk messaging alerts.

Language-specific super-code guidelines for Elixir and Erlang, covering pattern matching, pipe operator, OTP processes, error handling, collections, and anti-patterns to write idiomatic and efficient functional code.

Write idiomatic Elixir code with OTP patterns, supervision trees, Ecto, and Phoenix LiveView. Covers concurrency, fault tolerance, distributed systems, and BEAM performance optimization.

Security skill for detecting missing or weak rate limiting on authentication endpoints. Identifies brute force vulnerabilities in OTP, password reset, and login systems. Requires explicit authorization for authorized security assessments only. Includes shadow-throttle detection and enumeration techniques.

Offensive security skill for hunting MFA and 2FA bypass flaws: workflow skipping, OTP replay, response tampering, prefix-oracle guessing, and race conditions on verification endpoints. Requires written authorization.

This skill reviews Bitcoin Lightning Network protocol designs and architecture. It compares channel factory approaches and analyzes Layer 2 scaling tradeoffs. It covers trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support. Suitable for expert evaluation of Lightning protocol improvements and security mechanisms.