Skill UI

A human-in-the-loop studio for iteratively tuning AI outputs or reviewing complex media/prose. It allows users to directly manipulate visual parameters (color, typography, layout) or annotate documents in real-time, moving beyond static comparison grids or vague prompts. Perfect for designers and content creators who need hands-on, visual feedback.

This skill produces comprehensive 360-degree feedback instruments or structured performance reports. It guides users through collecting multi-rater input across core competencies like leadership, communication, and execution. Ideal for performance reviews, professional development planning, and assessing employee impact. The output adheres to best practices, ensuring development-oriented and behaviorally anchored feedback.

This advanced skill provides highly structured and actionable feedback on any digital or physical design. It applies professional UX frameworks, including Nielsen's Heuristics, Gestalt principles, and Jobs-to-be-Done (JTBD), to evaluate usability, identify critical issues, and provide prioritized, specific recommendations. Ideal for reviewing wireframes, UI screens, user flows, and assessing product completeness.

Provides a structured, outcome-based critique of design concepts, shifting the focus entirely from aesthetics to product viability. This skill is ideal for Product Managers needing to assess whether a design achieves specific user goals, meets core business metrics, and satisfies original requirements. It generates actionable feedback tied to measurable outcomes, ensuring all critique points are evidence-based and strategically relevant.

This skill transforms raw notes, bullet points, or unstructured memories into comprehensive, professional performance reviews. It structures the output for various review types (Self-assessment, Manager, Peer, 360 feedback), ensuring coverage of key achievements, core strengths, constructive areas for growth, and measurable development goals. Ideal for annual reviews, mid-year check-ins, and formal performance documentation.

This skill analyzes raw user research data—including transcripts, survey results, and feedback—and synthesizes it into a structured, actionable report. It identifies key themes, quantifies prevalence, pinpoints critical pain points, prioritizes feature requests, and provides strategic, evidence-backed recommendations for product improvement and development.

This skill outlines a systematic, multi-phase workflow for diagnosing hard bugs and performance regressions in complex codebases. It emphasizes the critical necessity of building a tight, deterministic feedback loop (Phase 1) before moving to hypothesis generation. The process guides users through reproducing the failure, minimizing the scope of the issue, and forming actionable, ranked hypotheses.

This skill assists users in defining, adapting, and designing bounded, structured feedback loops for AI agents. Whether you need to find a suitable existing workflow, fine-tune a published loop, or design a new process from scratch, this tool guides you through a safe, iterative methodology. It emphasizes setting clear stopping rules, guardrails, and verifiable, measurable steps to ensure the automation remains controllable and focused.

This skill provides expert guidance on design engineering, focusing on UI polish, micro-interactions, and high-craft component decisions. It is ideal for reviewing frontend code (React, CSS, Tailwind) to elevate perceived quality, addressing details like easing, duration, and physical feedback. Use it when subtle detail and refined taste are critical differentiators.

An open-source automation framework for conducting multi-turn, adversarial red-teaming against conversational LLMs. PyRIT simulates real-world attacker behavior using advanced orchestrators (Crescendo, TAP) and scorer feedback loops. It is designed for comprehensive security assessments of AI agents and chatbots, going far beyond single-shot prompt testing to evaluate robustness under gradual or adaptive attacks.

This skill validates the correctness and completeness of any API request. It rigorously checks the HTTP method, URL structure, required headers, body format, authentication details, and query parameters. Use it to debug cURL commands, verify endpoint calls, or ensure API structures adhere to best practices, providing immediate, actionable feedback on required fixes.

A comprehensive skill for systematically monitoring developer conversations across technical platforms like GitHub, Reddit, and Stack Overflow. It helps track brand mentions, competitor positioning, and unsolved technical problems to gather unfiltered product feedback and high-intent leads.