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Found 133 Skills
Design robust A/B test experiments. Use when testing a new feature, validating a hypothesis, or optimizing conversion rates.
Trigger: Invoke when you have proposed a solution, hypothesis, or judgment that needs to be verified through practice, iterated via trial and error, or used to upgrade cognition through review. Common signals include experiment, prototype, validate, iterate, feedback loop. Trigger when an idea, hypothesis, or plan must be tested in practice and improved through iteration. Use this skill to move from action to understanding and back to action in a spiral learning loop.
Deep Research Skill - Multi-source investigation across X (Twitter), the Web, and academic papers using team agents. Utilize this skill when users request deep research, comprehensive investigation, multi-perspective analysis, or hypothesis development on any topic. It is triggered by phrases such as "deep research", "investigate thoroughly", "research across sources", "ディープリサーチ", or requests for fact-based analysis with original hypotheses. It conducts a 6-phase research process: needs analysis, X preliminary research, parallel web deep-dive (3 agents), information integration, hypothesis construction, and final report delivery.
Document debugging sessions with hypothesis tracking and knowledge base
Create an initial, assumption-based persona profile that synthesizes available user research, market data, and stakeholder knowledge into a working hypothesis about your target user. Use this to align
Designs an A/B test or experiment with clear hypothesis, variants, success metrics, sample size, and duration. Use when planning experiments to validate product changes or test hypotheses.
Plan and lead execution when outcomes are uncertain and requirements are ambiguous. Produces an Uncertainty Planning Pack (uncertainty map, hypotheses + experiments, buffers + triggers, cadence + comms). Use for ambiguity, unknowns, hypothesis-driven planning, experimentation, contingency planning.
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
Ascend C Code Inspection Skill. Conduct security specification inspection on code based on the hypothesis testing methodology. When calling, you must clearly provide: code snippets and inspection rule descriptions. TRIGGER when: Users request code inspection, code review, ask code security questions, check coding specifications, or need to check specific code issues (such as memory leaks, integer overflows, null pointers, etc.). Keywords: Ascend C, code inspection, code review, security specification, memory, pointer, overflow, leak, coding specification.
Day 2 end capstone move of a Foundation Sprint. Compresses the sprint's full strategic frame into a single canonical sentence (the Founding Hypothesis) plus an assumption scorecard, why-we-believe, what-could-prove-us-wrong, and recommended next validation step. Use after Magic Lenses is signed. Strict canonical template; paraphrase is not accepted in v0.1.0. The Founding Hypothesis is the spine artifact the sprint exists to produce.
This skill should be used when the user provides a strategy, plan, or decision document and wants to surface hidden assumptions and blind spots using the Known/Unknown 4-quadrant framework. Trigger on "known unknown", "4분면 분석", "blind spots", "뭘 놓치고 있지", "뭘 모르는지 모르겠어", "전략 점검", "전략 분석", "assumption check", "가정 점검", "quadrant analysis", "what am I missing". Strategy-level blind spot analysis with hypothesis-driven questioning. For requirement clarification use vague; for content-vs-form reframing use metamedium.
Emergency Triage and Symptom Screening Assistant. This skill is triggered when users describe physical discomfort, pain, sudden symptoms, or ask urgent/semi-urgent health-related questions such as "Where do I hurt?", "I feel unwell", "Which department should I register for?", "Do I need to go to the hospital?", or "Help me judge". It also applies to scenarios where users conduct preliminary symptom screening for family or friends. Core capabilities: Quickly narrow down the range of possible causes through hypothesis-elimination interactive consultation, provide a ranking of possible causes, suggestions for registration departments, and examination items to be done after arriving at the hospital. Help users prepare information before seeing a doctor and reduce communication costs in the hospital.