Skill UI

This skill generates a comprehensive metrics framework for any product, team, or business. It connects the North Star Metric to supporting drivers using established models like AARRR, HEART, or OKR. The output is a structured, actionable metric hierarchy, including definitions, counter-metrics, and dashboard recommendations to guide strategic decision-making.

A specialized skill for creating highly structured, measurable, and strategically aligned Objectives and Key Results (OKRs). It guides product teams, startups, and departments in setting ambitious goals by defining clear objectives and quantitative key results. It actively flags common anti-patterns, such as vanity metrics or output-based goals, ensuring all KRs are measurable and tied back to the company's North Star metric.

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.

A comprehensive skill for generating a structured Request for Comments (RFC) document. Use this to formally propose technical decisions, architectural changes, or significant system implementations. The output ensures all critical aspects are covered, including problem statements, proposed solutions, rejected alternatives, success metrics, and migration plans, facilitating rigorous technical review and decision-making.

This skill applies the RICE framework (Reach, Impact, Confidence, Effort) to objectively score and rank product initiatives. It helps teams prioritize backlogs, plan quarters, and compare multiple competing ideas by providing a structured, data-driven ranking. The output identifies quick wins, high-risk moonshots, and critical data gaps for validation.

This skill guides users through transforming a raw product backlog into a highly structured and actionable sprint plan. It generates a clear Sprint Goal, calibrates the backlog scope based on team velocity and capacity, provides a detailed capacity plan, identifies potential risks, and outputs a comprehensive meeting agenda. It ensures the resulting sprint is achievable, outcome-focused, and adheres to best practices (e.g., 80% commitment rate).

This skill generates a comprehensive technical debt register for any team or service. It guides users to input critical data points (e.g., business impact, effort, tech stack) and produces a structured report that categorizes debt (Architecture, Security, Testing, etc.). The output includes a calculated priority score and a quarterly debt reduction roadmap, enabling deliberate, business-aware engineering decision-making.

Use this comprehensive skill for interacting with the Gemini API. It supports a wide range of advanced AI tasks, including text generation, multi-turn chat, multimodal understanding, image/video creation, function calling, and structured output. Provides modern SDKs for robust application development in Python and JavaScript/TypeScript.

This sophisticated skill is designed to locate the root cause of a confirmed software failure. It performs a systematic, semi-formal tracing process: first tracing backward from the observed failure point (using provided stack traces, assertions, or error messages) to identify the original premise, and then tracing forward to confirm the symptom. It outputs a highly structured report detailing the divergence, premises, and remedy.

This template generates structured, multi-frame video scripts compatible with Remotion and Hyperframes. It guides the creation of cinematic, high-impact videos, ensuring each frame conveys a single, strong concept. The output includes necessary metadata for automated playback, transitions, and timing, making the script ready for professional video rendering into MP4.

This framework guides AI agents to critically assess their own output across five key axes: Accuracy, Completeness, Clarity, Actionability, and Conciseness. It provides a structured, evidence-based scorecard and concrete suggestions for improvement, turning every task completion into a deep learning opportunity.

This skill facilitates a structured, multi-session brand identity interview across eight key modules including purpose, positioning, and audience. It employs techniques like laddering and the 5 Whys to extract deep insights, persisting data to disk for resumption. The output is a comprehensive master brandbook used to brief designers and writers, making implicit founder knowledge explicit for new or repositioned brands.