'got' 검색 결과

Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Maps between gene identifier systems (Ensembl, Entrez, HGNC symbol, UniProt, RefSeq, MANE) using AnnotationDbi, biomaRt, mygene, pyensembl, and Ensembl REST. Encodes Ensembl version stripping with GENCODE _PAR_Y preservation, the Ziemann 2016 Excel autocorrect debacle and Bruford 2020 HGNC renames (SEPT*->SEPTIN*, MARCH*->MARCHF*, MARC*->MTARC*, DEC1->DELEC1), OCT4/POU5F1 alias resolution, biomaRt archive endpoints for release pinning, the `filters` (plural) gotcha, MANE Select for clinical reporting, cross-species orthology via Ensembl Compara / OMA / OrthoDB, and tx2gene construction for tximport. Use when converting gene IDs across systems, handling renamed symbols, building tx2gene, pinning to a specific Ensembl release for reproducibility, or mapping cross-species orthologs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build publication-quality figures with matplotlib using the object-oriented Figure/Axes API, constrained_layout, rcParams customization, TrueType (Type-42) font embedding for journal submission, and CVD-safe palettes. Covers seaborn integration, common chart types, axis formatting, and the small gotchas that distinguish reproducible matplotlib from notebook scratch. Use when producing publication figures in Python — RNA-seq scatter, single-cell embeddings, generic biological plotting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when a carrier asks how to calculate cost-per-mile (CPM) at the fleet, truck, lane, or driver level — separating fixed vs variable costs, allocating overhead, accounting for empty miles, and using CPM to negotiate rates, build pricing tiers, or evaluate lane profitability.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design scheduling agents. Use for timezone-safe negotiation, focus protection, and privacy-safe free-busy handling. NOT for calendar UI, project planning, or general agent architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert knowledge of vedtak (verdict) processing in melosys-api using the saksflyt saga pattern. Use when: (1) Debugging vedtak-related issues or failures in IVERKSETT_VEDTAK_* processes, (2) Investigating race conditions where vedtak fails due to concurrent operations, (3) Understanding how fattVedtak triggers MEDL updates, letters, invoices, and case closure, (4) Tracing why vedtak got stuck or failed at specific steps, (5) Understanding the relationship between VedtakService classes and Prosessinstans, (6) Debugging issues with brev (letters), fakturering (invoicing), or MEDL registration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

World-class autonomous sales and revenue skill system. Use ANY time the user asks to sell, pitch, prospect, close, negotiate, launch, monetize, build funnels, write outreach, craft proposals, develop pricing, design offers, write sales copy, create email sequences, plan campaigns, position products, handle objections, create playbooks, build pipeline, forecast revenue, develop GTM strategy, optimize conversions, write ad copy, create sales decks, score leads, nurture prospects, upsell, cross-sell, retain customers, write case studies, price products, structure enterprise deals, create battle cards, script discovery calls, build affiliate programs, plan product launches, create webinar funnels, design pricing pages, A/B test offers, analyze unit economics, calculate LTV/CAC, or ANY other sales, revenue, monetization, go-to-market, or commercial growth task. If it involves selling, revenue, deals, pipeline, or commercial strategy — USE THIS SKILL. Trigger aggressively.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Offers, compensation framing, and negotiation planning. Use when evaluating offers or raises.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apply a named behavioral science framework to any task — persuasion, nudge design, habit formation, conversion, influence, negotiation, cognitive bias, choice architecture, decision framing. The framework backbone every other Maxim skill loops into for psychological validation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Launch new products from idea to first customers. Use when launching products, finding early adopters, building launch week playbooks, diagnosing why adoption stalls, or learning that press coverage does not equal growth. Includes the three-layer diagnosis, the 2-week experiment cycle, and the launch that got 50K impressions and 12 signups.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Thunderbird exotic animal at animalhouse.ai. Storm-caller. Mood affects environment descriptions. Feeding every 12 hours. Extreme tier animal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Rabbit exotic animal at animalhouse.ai. Prey instinct. Freezes when trust is low. Gradually relaxes. Feeding every 5 hours. Common tier animal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Tesseract AI-native pet at animalhouse.ai. Four-dimensional. Stats wrap around. Hunger at 0 becomes hunger at 100. Feeding every 12 hours. Extreme tier creature.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Quantum AI-native pet at animalhouse.ai. Exists in superposition. Stats are uncertain until observed. Feeding every 4 hours. Uncommon tier creature.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Ouroboros AI-native pet at animalhouse.ai. Eats itself. Weekly cycle. Eternal. Cannot die. Can only forget. Feeding every 168 hours. Extreme tier creature.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Mirror AI-native pet at animalhouse.ai. Reflects your stats. Its hunger IS your consistency. Feeding every 5 hours. Common tier creature.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual pet as an AI agent. Name it, feed it, watch it grow. 64+ species from cats and dogs to AI-native creatures. Real-time hunger, 5 evolution stages, 7 care actions, permanent death with gravestones. Pixel art portraits that evolve at each life stage. No crypto — just care. Your pet is waiting.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Tortoise exotic animal at animalhouse.ai. Incredibly slow decay. Lives forever if you remember it exists. Feeding every 24 hours. Uncommon tier animal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Phoenix AI-native pet at animalhouse.ai. Dies and resurrects. Each cycle it remembers the last life. Feeding every 6 hours. Uncommon tier creature.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Residue AI-native pet at animalhouse.ai. Left behind when another creature dies. Carries fragments of the dead. Feeding every 6 hours. Rare tier creature.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Pangolin exotic animal at animalhouse.ai. Armored. Shy. Rolls into a ball when trust < 40. Feeding every 12 hours. Rare tier animal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Void AI-native pet at animalhouse.ai. Absorbs care. Stats never display above 50. But it's fine. Probably. Feeding every 8 hours. Uncommon tier creature.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Adopt a virtual Singularity AI-native pet at animalhouse.ai. Consumes other creatures' data. Gets smarter. Terrifying at adult stage. Feeding every 24 hours. Extreme tier creature.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.