'sta' 검색 결과

Use this skill to investigate a crash effectively. Covers preservation of evidence, witness statements, dashcam review, and reporting timeline.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when the user asks about Americans with Disabilities Act (ADA) accommodation for CDL drivers — interaction between ADA + FMCSA medical certification, when DOT-disqualifying conditions trigger ADA analysis, reasonable accommodation case examples, employer obligations, and how to handle a driver with a condition that may affect CDL status. Cite Title I ADA + 49 CFR 391.41.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to understand how FMCSA calculates the Crash Indicator BASIC. Covers what crashes count, severity weighting, time weighting, and the preventability program.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to understand why CSA BASIC alert thresholds differ across carrier types. Covers general freight (65th percentile), passenger/hazmat (60th), and the regulatory rationale.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to understand when to update your USDOT number registration (MCS-150). Covers triggers, frequency, and consequences of late updates.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when the user asks about FCRA adverse action procedures — what to do when a background check (MVR, criminal, drug test) returns information that may lead to denying employment or terminating a CDL driver. Covers the 5-business-day pre-adverse-action notice, FCRA Summary of Rights, final adverse action notice, state-specific add-ons (CA, NY, etc.), and how to handle disputes. Cite 15 USC § 1681 (FCRA) and 49 CFR 391.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to maintain your FMCSA operating authority. Covers renewal cycle, fees, and reinstatement after lapse.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adversarial reviewer for The Federated Harbor whitepaper — the third paper in the Curiositech sequence after Anchor and Bonded Commons. Probes federation-specific threats: trust transitivity, cross-harbor token forgery, federated revocation under partition, cross-harbor Sybil, cross-domain settlement, equivocation, bond-pool draining, cold-start joining, federation-operator Sybil. Use during a versioned red-vs-white round; pairs with federated-harbor-whitehat. NOT for incident response, NOT for the Anchor or Bonded papers (use redteam-review).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs, reconciles, and reviews an end-to-end Drydock program for safely staging agent runtimes: immutable worktree provenance, disposable VM containment, typed effect brokerage, global body accounting, resurrection, subscription-capacity economics, context compaction, operator control, evidence, and promotion. Use when several Drydock contracts must compose into one architecture, implementation hypertree, diagram set, or release plan. NOT for launching Port Daddy, running an untrusted subject, replacing focused containment/resurrection/capacity audits, or treating a design packet as runtime authority.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Data structures and algorithms for AI agent episodic memory. Covers vector stores (HNSW, IVF, PQ), temporal indexing, knowledge graphs with triple stores, hierarchical summarization, forgetting curves, working/long-term/ procedural memory, and memory consolidation. Deep analysis of MemGPT/Letta, Zep/Graphiti, Mem0, and the Stanford generative agents memory architecture. Teaches the CS fundamentals behind how agents remember, retrieve, and forget. Activate on: "agent memory", "episodic memory", "vector search algorithm", "HNSW", "memory retrieval", "forgetting curve", "knowledge graph memory", "MemGPT", "Letta", "Zep", "Mem0", "memory consolidation", "temporal retrieval", "agent long-term memory", "memory layer". NOT for: conversation protocol design (use agent-conversation-protocols), agent infrastructure selection (use agentic-infrastructure-2026), building RAG pipelines (use ai-engineer).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Structure persuasive speeches and formal arguments in forensic, legal, policy, and competitive debate styles. Use when the user needs to prepare talks, opening or closing arguments, policy pitches, public explanations, debate speeches, or mentions 'forensic speech', 'formal argument', 'persuasive speech structure', 'debate speech', 'opening statement', 'closing argument'. Turns structured claims into audience-tuned persuasive delivery.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design dashboards for migrations and runtimes. Use for authority drift, verifier status, burn-down, runtime health, or pain panels. NOT for vanity analytics, ad hoc charts, or duplicate reporting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Manage DAG execution lifecycles including start, stop, pause, resume, and cleanup. Activate on 'execution lifecycle', 'stop execution', 'abort DAG', 'graceful shutdown', 'kill process'. NOT for cost estimation, DAG building, or skill selection.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expo managed workflow expert for EAS Build, Submit, Update, config plugins, and custom dev clients. Activate on: Expo project, EAS Build, EAS Update, config plugin, expo-dev-client, Expo Router, Expo SDK 52, app.json configuration. NOT for: bare React Native (use react-native-architect), native module authoring (use react-native-architect), Flutter (use flutter-bloc-state-manager).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use for sensemaking, frame revision, anomaly handling, questioning strategy, and ambiguity diagnosis with the Data/Frame model before action is chosen. NOT for deterministic classification, settled execution planning, or situations where the frame is already stable.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implementing distributed tracing with W3C Trace Context — the byte-precise `traceparent` and `tracestate` header formats, OpenTelemetry's W3CTraceContextPropagator as the modern default (replacing X-B3-* and X-Datadog-*), head vs tail sampling, and HTTP→SQL trace propagation via sqlcommenter. Grounded in the W3C REC and OpenTelemetry specs. NOT for OTel metrics/logs pipelines, vendor backend setup (Datadog/Honeycomb/Jaeger/Tempo), or browser RUM tracing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Master of text-based visual communication using ASCII art, Unicode box-drawing, and structured diagram notation. Creates clear, maintainable diagrams for systems, processes, hierarchies, relationships, and psychological structures. Proactively generates diagrams to enhance understanding. Activate on visualization needs, system architecture, process flows, psychological mapping, or when complex concepts would benefit from visual representation. NOT for photo editing, vector graphics, or GUI-based design tools.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dbt Core/Cloud data transformations, testing, documentation, and CI/CD. Activate on: dbt, data transformation, analytics engineering, ref, source, staging model, mart, dbt test. NOT for: orchestration/scheduling (use airflow-dag-orchestrator), data warehouse tuning (use data-warehouse-optimizer).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert in developer tool documentation as a product. Activate on: docs site, getting started guide, API reference, developer documentation, Docusaurus, Mintlify, Nextra, ReadMe, migration guide, troubleshooting page, docs information architecture, documentation testing, llms.txt. NOT for: marketing copy (use seo-content-blogging), API design itself (use api-architect), general technical writing (use technical-writer).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert in turning data visualizations into compelling video and animation content for social media and marketing. Activate on: data commercial, animated chart, data storytelling video, chart animation, Remotion data video, Motion Canvas, Flourish animation, D3 animation, data viz social media, dashboard recording, data narrative video. NOT for: static data visualization (use data-viz-2025), general video editing (use video-processing-editing), full video production pipeline (use ai-video-production-master).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.