Skill UI

A structured client-facing format for red-team engagements and penetration testing reports. Includes standardized sections for findings, severity assessment, impact analysis, and proof of concept. Suitable for delivering reports to CISOs and technical stakeholders requiring DOCX/PDF output.

Translates vague user intent into precise, unambiguous specifications and requirements. Extracts core problems, defines user stories with acceptance criteria, identifies edge cases and constraints, and outputs structured REX reports for downstream agents.

This skill addresses vague or ambiguous user requests by initiating a structured, multi-round questioning process. Instead of making assumptions, it systematically clarifies dimensions like audience, scope, tone, and format across several rounds (up to three). This structured approach ensures the resulting output is highly accurate and requires minimal revision cycles.

Construct a structured rendering pipeline for advanced Three.js scenes, managing shared buffers and signal ordering. Supports depth, normals, albedo, bloom, tone mapping, and grading. Ideal for composing multiple image-space systems rather than single effects. Ensures proper exposure metering and output conversion.

This skill optimizes LLM context usage through prompt caching, log pruning, and AST-based file inspection. It enforces ultra-dense output, minimizes filler text, and manages token budgets efficiently. Ideal for technical tasks requiring precise code edits, structured data handling, and reduced context window consumption during long sessions.