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Use this skill when a driver has vision in only one eye or significantly reduced vision in one eye. Covers § 391.41 vision standards, monocular driver variance, and depth-perception assessment.

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 an inspector requests ELD records during a roadside inspection. Covers the three required transfer methods, what data must be transmitted, and common failure modes.

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 a driver does not meet federal medical standards and needs to apply for a variance. Covers application steps, required documentation, and review timeline.

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 understand FMCSA hearing standards for CMV drivers. Covers the forced whisper test, audiometry alternative, and certification for hearing-impaired drivers.

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 DataQ — FMCSA's data review system at dataqs.fmcsa.dot.gov — for disputing inspection violations, crash records, or other entries that appear in a carrier's CSA / SMS score. Covers Request for Data Review (RDR) process, success rates, common dispute grounds, what evidence to attach, timeline expectations, and how successful disputes reduce BSI (BASIC Severity Indicator) scores. Cite 49 CFR 392.7 and the FMCSA DataQs User Guide.

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 needs to build an internal dispatcher training program, onboard new dispatchers, or certify dispatcher competency. Covers job description, required skills, training modules, certification frameworks (CDS, CTP), shadowing, evaluation, and career path.

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 driver ergonomics — back/neck/shoulder injury prevention, seat adjustment + lumbar support, entering and exiting cab safely, load handling techniques, vibration reduction, stretching protocols, and how ergonomics affects workers compensation costs in trucking. Reference OSHA + ATA ergonomics research.

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 Electronic Logging Device (ELD) compliance under 49 CFR 395.20-38 — ELD mandate, AOBRD vs ELD transition, ELD exemptions, ELD malfunctions, 8-day paper backup, ELD certification on FMCSA registered list, data file integrity, edits + annotations, driver portability, and how to handle ELD failures at roadside. Cite 49 CFR 395.20-395.38.

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 sorting paperwork between a driver's personnel file and the regulated DQ file. Covers FMCSA-required documents vs employer documents, audit-scope vs HR-scope, retention differences.

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 FMCSA investigation types — Focused Investigation vs Comprehensive Review vs Compliance Review (CR) vs Investigation, when each is triggered, scope differences, on-site vs off-site, and how to prepare for each. Cite 49 CFR 385 Subpart C + D.

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 selecting a Consortium/Third-Party Administrator (C/TPA) for drug + alcohol testing program management. Covers what services they provide, what to look for, and red flags.

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 Driver Qualification Files (DQF) — what must be in a DQ file under 49 CFR 391, retention periods, what's required pre-hire vs ongoing, document expiration tracking, audit-readiness for driver files, common DQF deficiencies that auditors find, or how to handle missing documents on existing drivers. Always cite the specific subsection of 49 CFR 391.

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 for transporting logs. Covers § 393.116 specific rules, bunks, stakes, and tiedowns required.

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 CDL classes (A, B, C), endorsements (H, N, P, S, T, X), required for hazmat / passenger / school bus / tank / triple-trailer operations, what each class is permitted to operate, the TSA Security Threat Assessment for hazmat, and ELDT (Entry-Level Driver Training) requirements. Cite 49 CFR 383.

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 accident registers, DOT-recordable accident definitions, what counts as a "reportable accident" under 49 CFR 390.5 + 390.15, accident register retention, post-accident testing trigger logic, FMCSA accident reporting (no longer required to FMCSA directly for non-fatal accidents), insurance reporting timelines, and what to do after a CMV crash. Cite 49 CFR 390.5 + 390.15.

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 the agricultural exemption from Hours of Service (HOS) rules under 49 CFR 395.1(k) — what qualifies as agricultural commodity, the 150-air-mile radius rule, state-declared planting/harvest seasons, livestock hauling specifics, and how to document operations under the exemption. Cite 49 CFR 395.1(k) and 49 USC 5117.

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 the difference between a freight broker, freight forwarder, and motor carrier (49 CFR 371 + 373) — required authority for each, bond requirements (BMC-84 broker bond, BMC-85 freight forwarder bond), broker-carrier agreements, factoring + commissions, double brokering, and how to identify each role on a Bill of Lading. Cite 49 CFR 371 + 373.

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 introducing a feature flag system, choosing between release flags / experiment flags / operational flags / kill switches / permission flags, designing percentage rollouts, building kill-switch + circuit-breaker patterns, structuring evaluation contexts (user IDs, plan tier, region), or building flag-cleanup discipline. Triggers: LaunchDarkly / GrowthBook / Unleash / Flagsmith / OpenFeature, percentage ramp, sticky bucketing, kill switch wired to alerting, "we still have flags from 2 years ago", flag debt, OpenFeature provider, evaluation context, default value on provider failure. NOT for A/B test statistical analysis (separate skill), traffic-split routing at the edge, build-time bundler defines, or environment-based config.

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。

Drafting and iterating sections of The Federated Harbor whitepaper — the third paper in the Curiositech sequence after Anchor (local identity) and Bonded Commons (local coordination), extending coordination across machines and administrative domains. Use when authoring a section, rewriting a section after a redteam/whitehat round, or composing a new chapter. NOT for marketing copy, NOT for the other two papers, NOT for production threat response.

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。

An innate exploratory drive that guarantees no graph node remains permanently invisible to an agent population. After a warm-up period (step > 3), each agent fires a coverage scan with probability |unseen_nodes| / |all_nodes|. When triggered, the agent teleports directly to the globally unseen node with the highest belief uncertainty, works it, and returns control to the normal action-selection loop. Probability is self-annealing: it starts near 1.0 when almost everything is unseen and decays toward 0.0 as coverage saturates, requiring no manual schedule. The mechanism is "innate" (hard-coded into the agent step loop) as distinct from the "adaptive" EFE path, which requires local neighbors and learned precision weights. Together they form a two-layer exploration architecture: adaptive for locally-guided foraging, innate for topological completeness.

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。

Principled action selection for autonomous agents using Expected Free Energy (EFE) under the Active Inference framework. Each candidate action is scored as G(n) = w_prag * (-E[p_n] * damping) + w_epist * (-Var[p_n] * novelty(n)), where agent beliefs are maintained as per-node Beta distributions and updated via Bayesian observation. Selection is a softmax over -gamma * G, making exploration an automatic consequence of uncertainty rather than a hardcoded epsilon. Precision weights w_prag and w_epist self-adapt via surprise history, shifting the agent between exploitation and exploration regimes without any manually tuned schedule.

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。

Structured interview and observation techniques for extracting tacit knowledge from domain experts

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。

Message queues, pub/sub, event sourcing with Kafka, RabbitMQ, Redis Streams. Activate on: event-driven, message queue, pub/sub, Kafka, RabbitMQ, event bus, async messaging, dead letter queue. NOT for: CQRS projections (use cqrs-event-sourcing-architect), real-time WebSocket (use websocket-realtime-expert), observability (use observability-apm-expert).

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。

Refute-before-prove research discipline: automated counterexample sweeps before any formalization, meter-integrity audits for information-bound experiments, mutation-tested model checkers, pre-registered commit-or-cut gates for speculative directions, wrong-turn reporting, and numeric-claim provenance. Use when validating any new theorem, bound, equilibrium, or security claim; when building or trusting a checker, simulator, or experiment; or when deciding whether a speculative research direction lives or dies. NOT for exploratory brainstorming, product prioritization, writing style, or literature review.

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。