Skill UI

This tool facilitates an honest and rigorous retrospective on completed strategic decisions. It requires scoring the outcome against pre-committed success and kill criteria, auditing original assumptions, and revisiting dissenting opinions. Used at 90-day checkpoints or quarterly reviews to formalize lessons learned and close the strategic decision loop.

A specialized skill for optimizing content to be cited as authoritative sources by major AI language models (ChatGPT, Perplexity, Claude, Gemini). Unlike traditional SEO, AEO focuses on E-E-A-T signals, factual density, and structured data to ensure LLM integration. Features include content auditing, E-E-A-T scoring, structural rewriting, and citation tracking.

This skill provides comprehensive deal-desk support by performing quantitative scoring and risk assessment for commercial deals. It scores deals across margin, risk, and strategic value, routes discount requests to the correct human approver chain (e.g., Director, CFO, Legal), and flags contract landmines (e.g., uncapped indemnity, MFN) in redlined MSAs. It never auto-approves; every output is a score and a recommendation for a named human sign-off.

A comprehensive toolkit for structuring prospective clinical study designs. It assists in selecting and classifying primary/secondary endpoints, estimating sample size and power for various designs (means, proportions, survival), and scoring overall study plan feasibility (GO/NO-GO). All outputs are estimates routed to specified human experts (clinicians, biostatisticians, regulatory owners), never presented as final facts or regulatory submissions.

This skill performs advanced pathway and gene-set enrichment analysis crucial for interpreting gene lists (e.g., DE genes, screen hits). It distinguishes between Over-Representation Analysis (ORA) for thresholded lists and Gene Set Enrichment Analysis (GSEA) for full ranked lists. Supports scoring pathway activity (ssGSEA/GSVA) and utilizes major databases like GO, KEGG, Reactome, and MSigDB for comprehensive biological interpretation, ensuring publication-ready results.

A comprehensive guide for planning, promoting, and optimizing virtual events and webinars. This skill treats the event as a full conversion funnel, assisting users in maximizing lead generation and pipeline acceleration. It covers end-to-end planning, data-driven performance diagnosis (scoring funnel breaks), and setting up evergreen lead engines.

This skill analyzes your opencode prompt history to identify repeating multi-step workflows, recurring unmet needs, and candidates for new reusable skills. By scoring patterns based on frequency, complexity, and tool usage, it helps users save time and avoid repeating complex manual tasks.

This skill surfaces and prioritizes hidden assumptions embedded in product briefs, PRDs, or concept descriptions. It assesses assumptions across Desirability, Feasibility, Viability, and Usability, scoring them by Confidence and Impact to create a structured, prioritized map. It is essential for product risk auditing, validating product plans, and ensuring the robustness of early-stage concepts.

This skill generates a comprehensive, data-driven Customer Health Scorecard for any account. It assesses renewal risk, expansion potential, and overall account vitality by scoring five key dimensions: Product Adoption, Engagement, Outcomes, Support Health, and Commercial status. The output provides a weighted score (out of 100) and a RAG status (Red, Amber, Green), guiding Customer Success Managers and leadership on immediate risks and recommended actions.

This skill generates a complete, structured interview scorecard and guide for any specific role. It helps reduce hiring bias and ensures consistent evaluation across all interviewers by defining key competencies, behavioral questions (STAR format), and clear scoring guidance. It is crucial when developing comprehensive assessment criteria or interview frameworks for hiring.

This skill generates a sophisticated prioritization matrix by combining quantitative RICE (Reach, Impact, Confidence, Effort) scoring with qualitative Strategic Alignment ratings. Use this when multiple features compete for resources, requiring a balanced decision between sheer user impact and adherence to core business OKRs. The output provides a scored priority matrix, quadrant placement (Now, Next, Later, Drop), and explicit sequencing recommendations.

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.