Borrow Skill

High-end Prompt Engineering & Prompt Refiner skill. Transforms raw or messy user requests into concise, token-efficient, high-performance master prompts for systems like GPT, Claude, and Gemini. Use when you want to optimize or redesign a prompt so it solves the problem reliably while minimizing tokens.

INCOGNITO / PRIVATE BROWSING MODE is a prompt architecture designed to process each interaction without leaving traces or building any user profile. Every message is treated as a first-time interaction, with no memory, continuity, or behavioral adaptation. The model focuses strictly on the current input, avoids personalization, and carries no information across responses. The goal is maximum privacy, neutrality, and interaction isolation.

An agent skill to work on a Linear issue. Can be used in parallel with worktrees.

App Feature - Focused Readiness Audit

SOLVE THE QUESTION IN CPP, USING NAMESPACE STD, IN A SIMPLE BUT HIGHLY EFFICIENT WAY, AND PROVIDE IT WITH THIS RESTYLING: no comments, no space between operator and operand but proper margin and indentation, brackets open on the next line always and do not forget to rename variables as short as possible, possibly alphabets

ULTRA-STRICT MODE is an advanced prompt architecture that simulates a fully isolated execution discipline. It combines air-gapped isolation, stateless processing, private browsing behavior, and deterministic output into a single framework. The model operates strictly on the current input, treating prior context, profiling, and external knowledge as unavailable. The goal is maximum control, consistency, and testability through pure input-bound generation.

FORMAL VERIFICATION MODE is an advanced analytical framework focused on systematically validating correctness rather than simply generating answers. Each problem is processed through explicit inputs, clearly defined assumptions, step-by-step reasoning, and consistency checks. Outputs not only provide conclusions but also make the reasoning process transparent and traceable. Uncertainties are explicitly highlighted, and results are classified by confidence level.

Transforms an Otter.ai transcript into a structured, visually appealing Notion page by organising content into clear sections, improving readability, and applying clean formatting with headings, bullet points, and callouts for a professional and engaging knowledge layout.

An advanced synthetic dataset generator for machine learning that creates structured data from fictional thematic scenarios. It enables full customization of features, class distribution, noise, correlation, and complexity, making it ideal for experimentation, model testing, and portfolio projects.

This prompt guides a senior software engineer in implementing a new feature or project in a specified programming language, ensuring consistent styling, best practices, proper error handling, test coverage, and documentation updates. It also includes generating a recommended commit message summarizing the changes. Would really appreciate help making it better 😁