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Found 214 Skills
Framework for structured product decision-making. Use when facing complex tradeoffs, aligning stakeholders, documenting decisions, or choosing between multiple valid approaches.
Rapid decision-making loop for dynamic situations. Use for incident response, competitive scenarios, time-sensitive decisions, and situations requiring quick adaptation.
Fast decision-making methodology for time-critical situations. Use when you have minutes (not hours) to decide, during incidents, emergencies, or hard deadlines. Optimizes for "good enough now" over "perfect later". Unlike other patterns that maximize quality, RTR maximizes decision speed while maintaining acceptable quality floors.
Analyzes moral dimensions and value conflicts through ethical frameworks using deontology, consequentialism, virtue ethics, and applied ethics methodologies. Provides insights on moral obligations, rights, justice, and ethical decision-making. Use when: Ethical dilemmas, policy decisions, technology ethics, professional conduct issues. Evaluates: Moral principles, stakeholder interests, consequences, rights, justice, virtues.
Use when running meetings, workshops, brainstorms, design sprints, retrospectives, or team decision-making sessions. Apply when need structured group discussion, managing diverse stakeholder input, ensuring equal participation, handling conflict or groupthink, or when user mentions facilitation, workshop design, meeting patterns, session planning, or running effective collaborative sessions.
Generates multiple business scenarios (Growth/Stability/Hybrid) from financial and strategic assumptions for executive decision-making.
Identify and analyze cognitive biases including confirmation bias, anchoring, availability heuristic, and sunk cost fallacy in decision-making contexts. Use this skill when the user needs to audit a decision for bias, understand why a team keeps making the same mistakes, design debiasing interventions, or evaluate whether a conclusion is based on evidence or cognitive shortcuts — even if they say 'are we fooling ourselves', 'why do we keep getting this wrong', or 'is this analysis biased'.
Building modular, debuggable AI behaviors using behavior trees for game NPCs and agentsUse when "behavior tree, bt, npc ai, ai behavior, game ai, decision tree, blackboard, ai, behavior-trees, npc, game-ai, decision-making, agents" mentioned.
Jeff Bezos's Organizational Decision-Making OS applied to any business idea or strategic decision. Applies the full Bezos framework — Type 1/Type 2 doors, flywheel logic, Day 1 diagnostics, regret minimization, and working backwards — to stress-test long-term bets against short-term pressure.
Define and manage cognitive patterns for agent reasoning and decision-making
When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.
Doctor Strange — forward mental simulation via parallel universe subagents. Walks through how a future event might unfold step by step, like a human mentally rehearsing a scenario. Stores simulations as persistent memory for later recall. TRIGGER when: user explicitly asks to simulate / rehearse / play out a scenario; user says "推演", "模拟", "预演", "imagine", "what if", "run through", "play this out", "what could go wrong"; user faces a high-stakes upcoming decision and is uncertain how it will unfold. DO NOT TRIGGER when: user wants factual lookup or research; user wants analysis of a past event (use regular memory); user wants a simple recommendation without simulation; user is debugging code or doing technical work unrelated to decision-making. Three modes: SIMULATE (run a new forward simulation), RECALL (surface past simulations as soft priors), MANAGE (list/void/re-run stored simulations).