Skill UI

Transforms complex raw product metrics into a clear, actionable health narrative. This skill analyzes key performance indicators (KPIs) across the entire user lifecycle—including acquisition, activation, engagement, and retention—against set OKRs and benchmarks. The output is a comprehensive report providing overall health status, key observations, hypothesized root causes for performance dips, and prioritized, actionable next steps with assigned owners.

Transforms a simple, prioritized list of product initiatives into a compelling, strategic narrative suitable for executive consumption. This tool helps structure the product roadmap by identifying core strategic themes, defining the causal progression across quarters, and drafting an executive summary that speaks to business outcomes rather than technical features. It also includes a critical 'What's Not on the Roadmap' section to demonstrate strategic discipline.

Transforms a prioritized product roadmap into a compelling, non-technical narrative that explains the 'why' and 'how' of product evolution. Ideal for presenting strategy to executive leadership, boards, or all-hands meetings, ensuring every initiative is tied to measurable OKRs and anticipating stakeholder questions. Outputs a complete story arc, executive summary, and scope definition.

This skill transforms AI from a validating assistant into a relentless adversary. Ideal for stress-testing high-stakes decisions, business plans, or core assumptions. It forces the model to produce the strongest case against your position, identifying potential failure points and required proofs, ensuring you confront the risks you might otherwise ignore.

This skill transforms vague feature briefs, PRD sections, or general ideas into highly detailed, actionable user stories. It enforces industry best practices by including standard formats (As a... I want to...), behavioral acceptance criteria (Given/When/Then), edge cases, and a Definition of Done. Ideal for product managers and business analysts who need to create estimate-ready tickets for development teams.

This skill transforms the current workspace into a comprehensive, stateful teaching environment. It guides the user through deep, multi-session learning by structuring content into core components: a defined mission, reference materials, curated resources, structured lessons, and continuous learning records. It employs educational best practices (spaced repetition, retrieval practice) to ensure long-term knowledge retention.

This workflow transforms long YouTube talks and lectures into a personal, structured, and local markdown library. Each video becomes a self-contained file containing slide snapshots, full timestamped transcripts, and editable study notes. It eliminates reliance on cloud services, giving users full ownership of their academic material.

This template transforms complex, multi-source materials (meeting notes, research, product data, financial feedback) into a single, highly structured, actionable one-page memo. It forces the user to distill the core problem, define a clear recommendation, map out tradeoffs, and list actionable next steps, making it ideal for C-level decision-making.

This skill guides the safe, systematic, and at-scale refactoring of existing Go codebases. It ensures that structural changes maintain observable behavior by following a rigorous process: mapping blast radius, strengthening safety nets (tests), applying small tool-driven transforms, and committing changes atomically via staged PRs. Ideal for cleaning up large functions, resolving code smells, renaming packages, or tackling complex architectural improvements in Go.

This harness transforms standard code environments into fully persistent, autonomous agent systems. It leverages native features like scheduled tasks (Crons), remote dispatching, and structured memory storage (MCP) to enable continuous, self-directing automation. Ideal for building AI assistants that require long-term context, recurring workflows, and complex, multi-step operations, eliminating the need for external agent frameworks like AutoGPT.

This skill provides a structured methodology for quantifying and scoring competitors based on nine weighted dimensions. By using explicit 1–5 rubrics and anchoring scores to observable evidence, it transforms raw competitive data into defensible, comparable profiles. It is essential for producing actionable insights in a comprehensive competitive report, especially when establishing a target white-space based on client strategic tension.

This tool routes tasks through a multi-tier system, specifically partitioning tasks into Agent Booster eligible (Tier 1) and standard LLM calls (Tier 2/3). It calculates and reports the estimated cost, leveraging the structural $0 cost of Booster bypasses for simple transforms, helping users optimize spend before running batches of similar tasks.