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Found 33 Skills
Use when making predictions or judgments under uncertainty and need to explicitly update beliefs with new evidence. Invoke when forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or avoiding overconfidence bias. Use when user mentions priors, likelihoods, Bayes theorem, probability updates, forecasting, calibration, or belief revision.
Define a Proof of Life (PoL) probe—a lightweight validation artifact that surfaces harsh truths before expensive development. Use it to test hypotheses with minimal investment.
Comprehensive statistical analysis for research, experiments, and data science. Covers hypothesis testing, effect sizes, confidence intervals, Bayesian methods, regression, and advanced techniques. Emphasizes correct interpretation and avoiding common statistical mistakes. Use when ", " mentioned.
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.
Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requiring rigorous analytical reasoning. Prevents premature conclusions, assumption-based errors, and pattern matching without verification.
Defines a testable hypothesis with clear success metrics and validation approach. Use when forming assumptions to test, designing experiments, or aligning team on what success looks like.
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.
Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.
Statistics, probability, linear algebra, and mathematical foundations for data science
부트캠프 4단계로, TourAPI 데이터를 받아 팀 가설을 단순분석으로 검증한다. 이 스킬은 사용자가 직접 호출할 때만 사용한다. 일반 대화에서는 자동으로 발동하지 않는다.
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
Eva Review 2.2.8 Post-Publication Review Entry for All Platforms. It is used to review published content such as short videos, Xiaohongshu graphics and texts, WeChat Official Accounts, etc. It reads backend screenshots, Excel, CSV, Markdown tables or multiple historical records to decide what to test as priority for the next piece of content, and continuously maintains the account review record library of the current project after the user's first authorization. Triggers: /eva-review, Eva Review, Review this published content, Check where this content might get stuck after publication, Backfill last result, Review recent content, Summarize rules of recent content, What do I talk about that performs better. Pre-publication review, direct creation of new content, and platform metaphysical issues without publication objects are not covered by this Skill.