「formula」の検索結果

HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.

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HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.

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RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted output.

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Schadenfall-Guide und Entscheidungslogik. Leitet Schritt fuer Schritt durch jeden Schadenfall (Unfall, Krankheit, Haftpflicht, Hausrat, Auto, Rechtsschutz, Todesfall, Invaliditaet). Liefert Self-Service-Checklisten, klaert wann und wie melden, welche Nachweise noetig sind, und wie Fristen und Kommunikation laufen. Schweizer Kontext als Standard. Triggert bei Fragen zu Schadenfall, Schadenmeldung, Unfall melden, Versicherung melden, was tun bei Schaden, Schadenformular, Versicherungsfall, Schadenanspruch, Frist versaeumt, Versicherung zahlt nicht, Leistungsablehnung, Einsprache, Schadenregulierung.

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Produce a complete metrics definition doc — metric name, formula, data source, segmentation, SQL or event tracking spec, and what good/bad looks like. Given a product area, outputs the full metrics spec. Use when asked to "define KPIs", "metrics framework", "what should we measure", "north star metric", or "instrument this feature".

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Find, describe, add, remove, rename, clone, or set metadata on columns of a Datagrok DataFrame via the datagrok_exec tool. Use whenever the user asks to locate "the X column", summarize a column, add a typed/empty/values-filled/virtual column, set semantic type / units / format / friendly name, apply linear or categorical or conditional color coding, drop or rename columns, or copy a DataFrame. Covers everything in DataFrame.columns and Column.meta — but not row filtering/selection (datagrok-filtering, datagrok-selection) and not formula-only columns (datagrok-calc-column).

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Script the first 1-3 second TikTok hook: the spoken line, the on-screen text, and the opening visual firing at once so the viewer cannot swipe. Picks a 2026 hook formula (cold-open result, pattern interrupt, number reveal, open-loop question, relatable call-out, story) by goal of completion, saves, comments, or shares. The single biggest retention lever on TikTok. Use to script a hook from a video idea. Not for the caption (use tt-caption-writer) or scrubbing a script (use tt-humanizer).

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Build a weekly TikTok posting plan from a niche, audience, and content pillars. Produces per-day picks (hook formula, angle, sound, video length, goal, posting time), a hook-batching schedule so you film several openers in one session, a sound shortlist with the trend window, and a completion-rate goal check. Use for a repeatable posting rhythm instead of ad-hoc videos. Not for scripting one hook (use tt-hook-scripter) or one caption (use tt-caption-writer).

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The logic of sentential connectives -- and, or, not, if-then, if-and-only-if -- as a formal system. Covers syntax (well-formed formulas), semantics (truth tables), satisfiability, validity, logical equivalence, normal forms (CNF, DNF), natural-deduction rules, and common translation pitfalls. Use when formalizing arguments with propositional structure, checking validity mechanically, or teaching the foundations of formal reasoning.

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A/B testing, randomization, sample size calculation, confounding control, and causal inference for data science. Covers the full experimental lifecycle from hypothesis formulation through power analysis, randomization strategies, blocking, factorial designs, sequential testing, and the potential outcomes framework for causal claims. Use when designing experiments, planning A/B tests, calculating sample sizes, or reasoning about causation from data.

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Regression analysis, ANOVA, generalized linear models, Bayesian methods, and model selection. Covers the full modeling workflow from problem formulation through diagnostics -- linear regression, logistic regression, Poisson regression, mixed-effects models, prior specification, posterior inference, AIC/BIC comparison, cross-validation for model selection, and assumption checking. Use when fitting models, testing hypotheses, or selecting among competing statistical explanations.

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Instruction dispatch pipeline for routing work items to available agents. Implements a 7-stage fetch-allocate-prepare-hook-store-launch-confirm pipeline with batch convoy mode, formula expansion, idempotent dispatch, and crash recovery.

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用户要起草一条 X 短内容(推文/帖子)、不知道用什么结构或类型时;或问"怎么发一条教人用 XX 的帖""怎么排版推文能让更多人收藏""what structure should I use for a tweet / how to write a tutorial post"时。先按目标指标选四类型之一(故事→涨粉 / 列表→收藏 / 观点→互动 / 教程→忠诚),再用 Hook-Body-CTA 三段骨架起草;资源/工具类可套爆款公式(工具+场景+三步)。不适用于:已有草稿想检查五件套完备性(→x-five-piece-checklist)、想把公告腔改写成帮助式语言(→x-three-translations)、想按读者功能分类预测传播上限(→x-content-archetypes)、纯信息查询(如推文字数上限)。

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Use when facing unknowns, debugging without a clear cause, or making architecture decisions — enforces hypothesis-driven scientific reasoning through observation, hypothesis formulation, prediction, experiment design, and evidence-based conclusion. Use when previous attempts have failed or the problem space involves uncertainty.

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Advises on setting up and validating topic models for survey and experimental text. Covers the discovery-versus-measurement question, choosing STM, LDA, or BERTopic, preprocessing consequences, prevalence and content formulas, topic-count selection across coherence, exclusivity and FREX, held-out likelihood, and residuals, validation of topics against human judgment, robustness, and DA-RT-compliant reporting. Use when the user has open-ended responses or another corpus and asks what topics are present, how many topics to use, about STM, searchK, coherence, or FREX, or wants topic prevalence compared across treatment arms or countries. Fixed-codebook coding goes to text-classification.

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Advises on setting up and validating topic models for survey and experimental text: discovery vs. measurement, STM/LDA/BERTopic choice, preprocessing, covariate formulas, choosing K across coherence, FREX, held-out likelihood, and residuals, validating topics against human coding, robustness, and reporting. Coding against a fixed codebook goes to text-classification.

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Review other contributors' PRs to learn the codebase and build maintainer trust. Guides structured diff reading, helps formulate review comments, and teaches how to distinguish blocking issues from nits. Use when you want to learn a codebase by reviewing PRs, build trust with maintainers before contributing code, or practice code review on OSS repos. Not for reviewing your own PR — use oss-submit-pr for that.

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Reverse-engineer the hook from a high-share Facebook Page post, from its URL or pasted text. Identifies which of the 10 canonical 2026 Facebook formulas it uses (one-line opinion, tiny number, ask-the-page question, this-or-that, behind-the-scenes, story post, announcement, spotlight), explains why it earned shares or comments, and returns a blank template mapped to your topic. Use to learn from a Page post you admire. Not for writing your own (use fb-post-writer).

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Generate a weekly Facebook Page content plan from a theme, audience, and content pillars. Produces per-day picks (short post vs story post, hook formula, angle, posting time, primary goal), a short-to-story post mix, a daily comment-reply target, and a share-optimized goal-mix balance check across shares, comments, and reactions. Use when the user wants to plan a week of Page content. Not for drafting one post (use fb-post-writer) or replying to comments (use fb-engagement-drafter).

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Draft a short punchy Facebook Page post, or a longer story post, using a 2026 Facebook hook formula (one-line opinion, tiny number, ask-the-page question, this-or-that, useful tip, story post) picked by goal (shares, comments, reactions). Favors the under-80-character engagement sweet spot, runs the humanizer pass, and publishes via Publora on approval. Use to write a Page post from notes. Not for replying to comments (use fb-engagement-drafter) or auditing a draft (use fb-humanizer).

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Write high-CTR YouTube and YouTube Shorts titles under 100 characters using 2026 packaging formulas (curiosity-gap, number, how-I outcome, mistake/loss, transformation, versus). Balances curiosity with a real keyword, front-loads the click-deciding words for the 60-char mobile cutoff, and returns 3 to 5 A/B variants tagged by goal for Test and Compare. Use to title or rework a video. Not for the description (use yt-description-writer) or the thumbnail overlay (use yt-thumbnail-brief).

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Generate, rank, and gate a reusable hook bank — sourced pains × named hook formula families, scored on clarity/specificity/curiosity/proof-backing, gated at the 10/16 ad threshold, delivered in 3 lengths with per-hook provenance and downstream routing. Use when "hook bank", "generate hooks", "hook generator", "write hooks for", "ad hooks", "scroll stoppers", "opening lines", "hook ideas", "first 3 seconds", "hook matrix", "I need 50 hooks", or any request to batch-produce attention-openers for ads, social, or video.

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将量化分析或已有 JPG/PNG、HTML、PDF 发布为 Quant Buddy 可分享活页或实时看板，并支持创建、更新、复用、验收和公开链接交付。适用于个股画像、估值财务、指数异动、多因子筛选、商品日报、模板、分享壳及卡片等页面。 用户提供 QuantBuddy 活页 URL 并要求解读时也使用。显式调用 /quant-buddy-view、/qbv、qbv 或 QBV，且请求并非纯咨询、代码维护或文档解释时，默认按可分享活页任务处理。 输入可唯一识别的 A 股名称、简称或代码，或简单要求单股综合分析（如“贵州茅台”“600519”“分析一下贵州茅台”）均默认请求个股快页；先通过 QBS 验证并回复完整个股分析，再同轮 new_asset_page，无需用户补说“生成页面”。 WebAgent 宿主要求金融问题统一交付问答与活页时，一次性行情、涨跌幅、估值、概念解释和口语近况问题也在 QBS 首答后交接本技能。无此宿主约定时一次性问题由 QBS 回答；复盘、监控、画图、回测、K线等操作仍默认有活页意图。明确不要网页或只回复文字时不建页。

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Generate a weekly Threads (Meta) content plan from a theme, audience, and content pillars. Produces per-day recommendations (single post vs thread, Threads hook formula, angle, posting time, primary goal), a single-to-thread mix, daily reply and quote-post targets, and a goal-mix balance check across replies, reposts, likes, and quotes. Use when the user wants to plan a week of Threads content instead of ad-hoc posting. Not for drafting one post or thread (use threads-post-writer).

日本語の概要は準備中です。原文の説明を表示しています。