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Found 269 Skills
Reference guide to 9 prioritization frameworks with formulas, when-to-use guidance, and templates — RICE, ICE, Kano, MoSCoW, Opportunity Score, and more. Use when selecting a prioritization method, comparing frameworks like RICE vs ICE, or learning how different prioritization approaches work.
Guide product managers in choosing the right prioritization framework by asking adaptive questions about product stage, team context, decision-making needs, and stakeholder dynamics. Use this to avoid
Prioritization techniques including MoSCoW, Kano model, weighted scoring, and value-effort matrices. Ranks requirements, features, backlog items, and investment decisions.
Prioritize features and backlog items using RICE scoring and Linear's enablers vs blockers lens. Use when asked to rank features, prioritize a backlog, decide what to build next, or evaluate feature requests against each other.
Rank named candidate strategic alliances and technology partnerships by expected value, effort, and risk, to decide where partner-team capacity goes - must-pass screens, a weighted alliance scorecard with sensitivity analysis, co-innovation and platform-dependency risk checks, a ranked shortlist, and a go/no-go recommendation memo. Covers B2B tech alliances and B2C brand and creator partnerships. Use whenever the user mentions alliance prioritization, partnership ranking, partner shortlisting, or asks which of several named partners deserves investment, even if they never say prioritization. Portfolio-level comparison only. Do NOT use for modeling one partner's P&L - use mbfinotti/partnerships-skills@partner-economics instead.
RICE, ICE, WSJF, MoSCoW and other prioritization frameworks for product backlogs. Use when scoring features, ranking initiatives, or deciding what to build next.
Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
Calculate RICE scores and prioritize features systematically. Use when building your product roadmap and need to make data-driven prioritization decisions.
Prioritization frameworks — RICE, WSJF, ICE, MoSCoW, and opportunity cost scoring for backlog ranking. Use when prioritizing features, comparing initiatives, justifying roadmap decisions, or evaluating trade-offs between competing work items.
Analyze, rank, and prioritize trading strategies using multi-factor scoring. Use when creating prioritization plans, ranking strategies, analyzing strategy portfolios, comparing strategy performance, or making strategy selection decisions.
Prioritize drug targets from a ranked gene list (e.g., scRNA-seq DE output) by orchestrating parallel API queries against UniProt, OpenTargets (with integrated DepMap CRISPR essentiality + gnomAD constraint), PubMed, the Human Protein Atlas (HPA), and ChEMBL tool compounds, then re-ranking by a composite score combining protein localization, druggability, disease genetics, tissue specificity (safety), focus-cell-type expression, CRISPR essentiality, LoF safety constraint, and research maturity. Use whenever the user wants to filter, triage, prioritize, or "do due diligence" on a list of candidate genes for drug discovery, especially after a DE / DEG analysis when they say things like "which of these should I follow up on", "filter for druggable targets", "make a target dossier", "rank these for tractability", "annotate these genes for druggability", or "build a target report". Trigger even when the user says just "filter these candidate genes" or hands over a CSV from a DE pipeline.
Help users move from reactive feature-building to strategic resource allocation by applying rigorous scoring, financial modeling, and portfolio balancing.