Skill UI

A comprehensive playbook detailing advanced techniques for exploiting glibc heap vulnerabilities using ptmalloc2. Covers various memory corruption primitives, including Use-After-Free, double free, and overflows. Provides version-specific guidance on bypassing modern protections like safe-linking (glibc >= 2.32) and RCE methods for post-2.34 environments.

Provides strategic operational guidance for startup VPEs, focusing on maximizing delivery throughput using DORA metrics, optimizing the engineering hiring funnel, designing scalable team structures (squad/tribe), and establishing robust production disciplines. Use when scaling pains hit, delivery slows, or organizational design is unclear.

A powerful PreToolUse hook designed to act as a safety net during code writing sessions. It automatically scans both file paths and content for 12 common security anti-patterns, including SQL injection, XSS, command injection (Node.js/Python), and unsafe deserialization. It blocks the writing operation and provides immediate warnings, ensuring adherence to secure coding practices when handling sensitive code like authentication or payment logic.

A comprehensive guide on embedding before-and-after screenshots directly into pull request descriptions. This skill helps reviewers visualize UI changes, layout adjustments, and data visualizations instantly, without needing to check out the branch. Includes best practices for image sizing, structured Markdown patterns, and specific API/upload guidance for Azure DevOps and GitHub.

This skill generates robust JSON-LD structured data markup for various web components, including blogs, FAQs, tools, and SaaS pages. By implementing standard Schema.org types (WebSite, Article, FAQPage, etc.), you can significantly improve your SEO, boost click-through rates (CTR), and provide clear context to both search engines and AI systems. Includes implementation guidance for modern frameworks like Next.js.

This comprehensive skill provides expert guidance for integrating with Google NotebookLM programmatically, covering both the `nlm` Command Line Interface (CLI) and Measurement/Control Plane (MCP) tools. Use it to automate workflows, manage notebooks, add diverse sources (URLs, YouTube, Drive), and generate various complex content types, such as reports, quizzes, mind maps, and videos. Essential for developers building upon NotebookLM's advanced research capabilities.

An internal, language-agnostic probe designed for investigating complex stack traces when the source language is unknown. It analyzes the provided trace to output structured, language-neutral elements, including failure contract checks, minimal reproduction guidance, and specific patch targets. This tool is vital for robust failure analysis and debugging across diverse codebases.

An internal diagnostic tool designed for analyzing Go language panics and complex stack traces. It provides structured guidance, including Go-specific nil/error checks, minimal reproducible `go test` commands, and precise patch targets, enabling highly efficient root cause analysis and debugging for Go projects.

This skill provides expert guidance on writing and executing C# scripts to manipulate Power BI semantic model metadata using Tabular Editor. It enables advanced automation for bulk operations, managing calculation groups, setting security roles (RLS/OLS), and automating complex model changes via the TOM API. Supports both TE2 and TE3 environments.

The te CLI is a cross-platform, self-contained binary providing expert guidance for managing, validating, and deploying semantic models (BIM/TMDL). It enables users to perform complex data operations—such as scaffolding, inspecting, editing DAX, running BPA, querying, and refreshing models—entirely from the terminal, making it essential for CI/CD pipelines and automated data workflows.

Provides expert guidance for authoring and editing Tabular Model Definition Language (TMDL) files directly within PBIP projects. This skill is useful for making quick text-level fixes (like descriptions, format strings, or adding measures) when specialized tools (like Tabular Editor CLI or Power BI Desktop) are unavailable, especially for Git workflow or manual adjustments.

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.