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Fits structural equation models to GWAS summary statistics using GenomicSEM (Grotzinger 2019), including common-factor models, confirmatory factor models, ESEM, common-factor GWAS with Q_SNP heterogeneity, multivariate Wald tests, and stratified GenomicSEM partitioned heritability. Reconciles results against MTAG multi-trait analysis. Handles sample overlap via the LDSC sampling-covariance matrix, identifies and resolves Heywood cases, and verifies model fit with CFI / RMSEA. Use when modeling latent genetic architecture across correlated traits, running multivariate GWAS on a shared factor, distinguishing factor-mediated from trait-specific SNP effects, or comparing GenomicSEM common-factor results against MTAG when both depend on accurate sampling covariance.

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。

Infer cis-regulatory connections (peak-to-peak co-accessibility) from scATAC-seq using Cicero, ArchR getCoAccessibility, or SCENIC+. Use when linking enhancer accessibility to promoter accessibility, identifying enhancer-gene pairs from chromatin alone (without paired RNA), running gene-regulatory inference combining ATAC + RNA, or comparing predicted regulatory contacts against Hi-C/Micro-C ground truth.

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。

自动寻找当前网络环境下最快的 GitHub 代理镜像，用于克隆仓库、下载文件或获取 Release 资产。当需要从 github.com 下载任何内容时使用本 skill——包括 git clone、wget/curl 下载、Release 资产获取等。

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。

Use when a carrier asks about tire program design, when to retread vs replace, position management (steer vs drive vs trailer), inflation pressure standards, casing management, scrub rates, road-call prevention, or vendor program selection (Bridgestone, Michelin, Continental, Goodyear). Covers 49 CFR 393.75 and DOT roadside out-of-service criteria.

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。

Use when a carrier asks about trailer types — dry van, reefer, flatbed, step-deck, conestoga, tanker, dump, lowboy, intermodal chassis, auto-hauler. Covers length / weight rules, common specs, reefer unit options (Carrier vs Thermo King), liftgate options, kingpin setting, and trailer-to-tractor matching.

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。

Use this skill when the user asks about US-Mexico cross-border CMV operations — long-haul cross-border program, B-1 visas for Mexican drivers, FMCSA OP-1(MX) authority, US-Mexico border commercial zones, USMCA / NAFTA implications, customs brokerage (C-TPAT, FAST), and how a US carrier handles cross-border loads. Reference 49 CFR 365.501-507.

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。

Use this skill to differentiate IFTA (fuel tax) and IRP (apportioned registration). Covers what each is for, deadlines, and how they interact.

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。

Use this skill when the user asks about hazardous materials (hazmat) transportation under 49 CFR 171-180 — placarding requirements, segregation tables, hazmat employee training (49 CFR 172 Subpart H), Hazmat Safety Permit (HMSP), shipping papers, packaging groups, emergency response phone, security plans, hazmat endorsement on CDL, and bulk vs non-bulk distinctions. Cite specific 49 CFR section.

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。

Use when a carrier asks about fuel-card vendor selection (Comdata, EFS, WEX, RTS, Pilot Flying J, Love's Connect), discount levels, fraud control, driver authorization PINs, IFTA reporting features, cash advance, money codes, or how the card fits into payroll/settlement workflows.

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。

Analyze development-set disagreements between human annotations and one Coval text LLM judge, then propose a focused prompt revision. Use coval-calibrate-metric for independent trust measurements.

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。

End-to-end Coval adversarial / red-team testing workflow. Builds one adversarial test set (12 core attack vectors plus legitimate controls, each with an expected-behavior checklist), creates a persistent "Adversarial User" persona and a Composite Evaluation metric that scores each scenario against its own expected behaviors, launches a multi-iteration run against the agent (voice or chat), polls for completion, builds a per-scenario pass/fail scorecard, and creates a saved report grouped by Test Case. Use when a user wants to follow the Adversarial & Red-Team Testing cookbook (https://docs.coval.dev/guides/adversarial-red-team-testing) without doing each step by hand. Triggers: "adversarial test set", "red team my agent", "jailbreak / prompt-injection testing", "test my agent against bad actors".

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。

Validate one Coval judge against independent human labels, with grouped development/test separation, class-specific errors and uncertainty. Use for trust claims or calibration; without real labels, prepare review rather than inventing ground truth.

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。

End-to-end Coval audio-quality testing workflow. Launches one run per audio-robustness scenario against the same voice agent + test set + metrics, polls for completion, and produces the multi-run report URL grouped by Persona. Use when a user wants to follow the Testing Across Audio Qualities cookbook (https://docs.coval.dev/guides/testing-across-audio-qualities) without doing each step by hand.

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。

Derive a SET of simulation personas for an agent from product artifacts — backend payloads, UI screenshots, journey/product docs, and sample real user messages — instead of designing one persona by hand. Identifies who actually interacts with the agent and how they behave, then creates the personas via the CLI. Best for text/chat agents and for new agents with no interaction history. Use when the user says "make personas from these screenshots/payloads", "who are my users", "create a set of personas", "derive personas from my product", "build a persona library", or "I have backend data, turn it into personas".

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。

Configure an AI agent to send OpenTelemetry traces to Coval. Use when a user wants to add Coval tracing, instrument an agent for simulations or conversation monitoring, make traces show up in Coval, handle SIP/PSTN/WebSocket trace correlation, or replace the one-command wizard with a security-reviewable manual setup.

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。

Build or improve a Coval dashboard with metric visualizations backed by real data. Creates new dashboards from scratch or rebuilds existing ones by analyzing usage patterns, metric frequency, and data density. Use when user says "create a dashboard", "build a dashboard", "improve my dashboard", "add widgets", "visualize my metrics", "make a performance dashboard", or "dashboard for my runs".

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。

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

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。

Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure. Use when user says "sitemap", "generate sitemap", "sitemap issues", or "XML sitemap".

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。

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

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。

Orchestrator that runs one UI brief through all four ui-* posture skills in parallel, then picks and merges a winner. Use when a screen matters enough to explore several directions, or the user says 'build it a few ways', 'design options', 'bake-off', 'show me variations', or 'compare approaches'.

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。

Dense UI posture — maximum information density with clear hierarchy. Use when building or reworking admin dashboards, data tables and grids, ops or monitoring views, settings-heavy panels, debug inspectors, state or log viewers, and multi-pane tool UIs someone drives all day.

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。

THE full UI surface checklist (S1–S18) run on one assigned surface. Use for a named surface check, `/surface-check <surface>`, or a claimed `surface-certification` Work Loop item. NOT for fleet selection or claims (use surface-certification-loop).

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。

Pipeline that turns a big system idea into briefs for an agent fleet. Use when Arman says 'let's plan out X', 'build or overhaul the X system', 'create the vision and plan for X', 'do the full discovery process', 'get this ready for a fleet', or 'do what we did for education', or when carrying forward a VISION, COMPETITIVE_INSIGHTS, roadmap, or briefs doc. NOT for one feature in a live system (use build-sub-feature).

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。

Recipe for creating or changing a floating window panel. Use when adding a window, editing a window component, adding persistence, onCollectData, or ephemeral mode, wiring the Tools grid, or a window fails to restore after reload. NOT for WindowPanel drag/resize/tray internals (use window-panels).

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。