outcome-roadmap
Transforms output-focused roadmaps into outcome-focused plans that communicate strategic intent. Reframes initiatives and feature lists around their intended effects on users and the business.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Transforms output-focused roadmaps into outcome-focused plans that communicate strategic intent. Reframes initiatives and feature lists around their intended effects on users and the business.
Uses the get_nuget_packages MCP tool to report dependency health for .NET solutions. Identifies stale or vulnerable NuGet versions and commercial licensing concerns involving specified libraries.
Creates technically ambitious interface implementations. Examples include shaders, 60fps virtual tables, spring-driven dialogs, and scroll-driven reveals.
Defines cursor appearance, off-screen entry, tip targeting, click animation, and scene handoffs. Uses pointer-led actions to initiate transitions, typing, and other motion while guiding the viewer's attention.
Supports vulnerability reviews, authentication and authorization implementation, and secure user input handling. Covers OWASP Top 10:2025, ASVS 5.0, LLM Top 10 (2025), and Agentic AI security (2026).
Guides secure coding and security reviews using OWASP Top 10 practices. Addresses authentication, API protection, and vulnerabilities such as XSS, SQL injection, and CSRF.
Reviews code for vulnerabilities using OWASP Top 10 and web security practices. Covers authentication, authorization, API audits, and security checks before production deployment.
Uses Strix agents to attempt exploits across OWASP Top 10:2025 and OWASP API Security Top 10:2023 categories. Reports proven vulnerabilities with proofs of concept mapped to the relevant OWASP category.
Identifies a World P skill without describing its functionality.
Uses Pruna P-Image models through the inference.sh CLI for text-to-image generation and editing. Covers LoRA styles, multi-image compositing, and fast inference.
Covers P-Image generation and editing models, including LoRA variants. Supports text-to-image, style customization, multiple-image compositing, and fast inference.
Uses Pruna P-Image models through the inference.sh CLI for text-to-image generation and image editing. Covers LoRA styles, multi-image compositing, and models optimized for fast inference.
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