Skill UI

Guide for building passwordless authentication via Microsoft Entra ID, covering FIDO2 keys, Windows Hello for Business, Microsoft Authenticator passkeys, and conditional access policies for phishing-resistant MFA deployments.

Guides security teams through cybersecurity assessments of oil and gas OT environments, covering refineries, pipelines, and production facilities while aligning with API 1164, TSA directives, IEC 62443, and NIST CSF requirements.

Guide security analysts through structured incident triage using IR playbooks—from alert intake and enrichment to severity scoring, playbook selection, and team paging—ensuring rapid, repeatable SOC responses.

Guides fine-tuning and evaluation of OpenVLA-OFT/OFT+ for robot action generation, covering LoRA adaptation, continuous action heads, FiLM conditioning, and LIBERO/ALOHA benchmarks plus deployment considerations.

Soft Predict Future is a structured foresight engine that triggers whenever the user asks about future outcomes or scenarios. It enforces a nine-step analytical pipeline (validation, signal collection, scoring, driver extraction, etc.), highlights required searches and inputs, and directs the user to web-enabled reasoning for predictive analysis.

This skill provides guidance on implementing common architectural patterns and best practices within the PyTorch framework. It is designed for developers building sophisticated deep learning models, helping to improve structure, efficiency, and code maintainability when working with neural networks.

Guides ML teams through reviewer-style ablation planning, covering context gathering, structured experiment design, feasibility checks, and compute-aware sequencing before implementation.

This skill guides the entire process of writing a research paper rebuttal following submission to a major conference. It parses complex, multi-reviewer feedback, structures responses according to strict venue rules (e.g., text-only, per-reviewer threads), and ensures all claims are grounded in the original paper, preventing fabrication or overpromising. It manages follow-up rounds and maintains academic rigor.

Provides an expert methodology to significantly reduce AI API spending (40-80%) without sacrificing user quality. The guide covers cost auditing, optimizing existing systems, and designing cost-efficient architectures using techniques like model routing, prompt caching, output length control, and prompt compression.

This skill provides a systematic, four-phase workflow for diagnosing and recovering from AI agent failures. It guides the agent to first capture the failure state, diagnose the root cause (e.g., loop, context overflow, state drift), apply minimal containment recovery actions, and finally generate a detailed introspection report, minimizing the need for human intervention.

Describes how to use the MemOS local memory toolkit to recall past conversations, search shared histories, and choose the right memory tool when automatic recall is insufficient.

This guide details the OpenViking long-term memory plugin, which enhances conversational AI by automatically capturing key facts and preferences from past interactions. It utilizes auto-capture modes (semantic or keyword) to store memories and automatically recalls relevant context before generating a response, ensuring continuity and personalization across long conversations. Provides tools for retrieval, manual storage, and memory deletion.