Skill UI

A comprehensive playbook detailing structured recovery steps for ransomware incidents, adhering to NIST and CISA frameworks. The workflow guides users through environment isolation, forensic evidence preservation, Active Directory restoration (including krbtgt reset), backup integrity validation, and phased system rebuilding. Essential for defined disaster recovery and post-incident restoration.

Run an end-to-end workflow that chains refinement and experiment planning so a vague research direction yields a focused proposal, review rationale, and detailed validation roadmap plus pipeline summary.

Scans REST APIs for authentication flaws by probing endpoints, JWT/OAuth flows, API key handling, and session management to highlight broken validation, missing auth layers, and credential weaknesses before production rollout.

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.

Automated 7-stage workflow for auditing, cleaning, reviewing, and benchmarking GitHub repositories, turning messy projects into polished, production-ready codebases with guided analysis, manual reflection, and final validation.

PydanticAI brings Pydantic-style validation and type safety to LLM agent workflows, offering structured outputs, dependency injection, and tool integrations across providers so Python teams can test, monitor, and reuse agents reliably.

A robust skill designed to plan and safely execute massive, high-throughput code refactoring tasks. It achieves this by analyzing the entire codebase scope in parallel, synthesizing a single dependency-aware plan, and breaking the work into independent 'work packets.' These packets are then executed by specialized sub-agents, ensuring behavioral parity, managing conflicts, and providing rigorous, multi-stage validation gates throughout the process.

This skill provides a comprehensive audit workflow for diagnosing performance issues in SwiftUI applications. It begins with a code-first review, identifying common performance smells like invalidation storms or layout thrash. If code inspection is insufficient, it guides the user through collecting runtime profiling evidence (e.g., Instruments data) to pinpoint root causes such as janky scrolling, high CPU usage, or memory leaks.

Validate business ideas with Sahil Lavingia’s Minimalist Entrepreneur playbook by selling a manual version, defining precise users, testing processes without code, and gauging if customers will pay before building.

Deploys decoy canary files across sensitive shares and endpoints, monitors them with watchdog or FIM tools, and triggers immediate alerts when ransomware touches or modifies the bait, enabling low-noise detection and response validation.

Combines regex signatures, heuristic scoring, and a DeBERTa classifier to detect prompt injection attempts against LLM-based applications, flagging or blocking malicious inputs before they reach the model and fitting into validation layers, audits, or incident response workflows.

Provides pure-function CDSS modules for EMR integration, covering drug interaction checks, dose validation, NEWS2 scoring, and alert classification to keep patient-safety-critical workflows testable and reliable.