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Found 206 Skills
Expert in collecting, analyzing, and synthesizing user feedback from multiple channels to extract actionable product insights. Specializes in transforming qualitative feedback into quantitative pri...
Phân tích sâu bất kỳ chủ đề nào qua lăng kính Lý thuyết Trò chơi (Game Theory).
Diagnose surprising, negative, unstable, or ambiguous ML/AI experiment results and decide whether to debug implementation, rerun experiments, change metrics or baselines, revise the algorithm, narrow the paper claim, park, or kill a direction. Use this skill whenever results do not match expectations, a method fails, metrics conflict, seeds vary, baselines beat the method, plots look suspicious, or the user asks what to do next after experimental results.
Convene 11 role-specialized Claude agents to debate technical decisions in parallel, with the invoking Claude acting as CEO
Apply Hick's Law to reduce decision time by limiting the number of simultaneous choices presented to users.
Apply when tempted to ask 'should I do X?' on reversible work. Proceed, present the result, let the human course-correct after the fact; reserve confirmation for irreversible actions.
Use when facing decisions with multiple legitimate perspectives and inherent tensions. Invoke when stakeholders have competing priorities (growth vs. sustainability, speed vs. quality, innovation vs. risk), need to pressure-test ideas from different angles before committing, exploring tradeoffs between incompatible values, synthesizing conflicting expert opinions into coherent strategy, or surfacing assumptions that single-viewpoint analysis would miss.
Structured clarification before decisions. Use when user is in PLANNING mode, explicitly asks to plan or discuss, or when agent faces choices requiring user input. Ensures agent asks questions instead of making autonomous decisions when multiple valid approaches exist or context is missing.
Use when stakeholders have conflicting priorities and need alignment, suspect decision blind spots from single perspective, need to pressure-test proposals before presenting, want empathy for different viewpoints (eng vs PM vs legal vs user), building consensus across functions, evaluating tradeoffs with multi-dimensional impact, or when user mentions "what would X think", "stakeholder alignment", "see from their perspective", "blind spots", or "conflicting interests".
Guides technical decisions, architecture, and implementation. Use for tech choices, system design, API design, refactoring, or "how should I build this" questions.
Parliamentary procedure as forcing function for genuine deliberation
RICE prioritization scoring initiatives by Reach, Impact, Confidence, and Effort. Use for feature prioritization, roadmap planning, or when comparing initiatives objectively.