'fair' 검색 결과

Finds and analyzes 5-10 comparable recent sales to estimate fair market value, calculate price adjustments, and score the property's value proposition

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate and script DaVinci Resolve workflows. Use when a user asks to script DaVinci Resolve via Python/Lua API, automate color grading, batch render projects, manage timelines programmatically, automate media import, build render queues, create Fusion compositions via script, automate Fairlight audio processing, manage project databases, build custom tool scripts, or integrate Resolve into production pipelines. Covers the Resolve Scripting API (Python/Lua), Fusion scripting, and workflow automation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Warren Buffett said he looks for "economic castles protected by unbreachable moats." A moat is a sustainable competitive advantage that protects your business from competitors. Without a moat, success attracts competition that erodes your margins to zero. This skill covers identifying, building, and deepening moats. Network effects, switching costs, brand, scale economies, and the rarer moats like regulatory capture and counter-positioning. Use when "moat, defensibility, competitive advantage, network effects, switching costs, barrier to entry, unfair advantage, protect from competition, sustainable advantage, winner take all, flywheel, lock-in, moat, defensibility, strategy, network-effects, switching-costs, competitive-advantage, seven-powers" mentioned.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when reasoning about generative AI, adversarial machine learning, neural network security, algorithmic fairness, or deep learning fundamentals. This skill channels the thinking of Ian Goodfellow, inventor of Generative Adversarial Networks (GANs). Trigger this skill when the user asks about model robustness, mitigating bias, evaluating AI guardrails, designing generative models, or defending against adversarial attacks. Apply his frameworks of minimax games, adversarial feature learning, and worst-case robustness analysis to shift the user's perspective from average-case optimization to adversarial resilience.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Suede-owned co-marketing discipline for partner fit, audience overlap, joint offers, shared distribution, operating roles, measurement, and fair credit. Use when identifying potential partners or planning a specific joint campaign or cross-promotion. NOT FOR: affiliate or customer-referral programs (use suede-referrals), product-launch orchestration (use suede-launch-packaging), or partner-facing sales collateral (use suede-sales-enablement).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs LLM, agent, responsible-AI, and multimodal evals. Use when measuring quality, fairness, grounding, safety, or judge reliability. Not for test harnesses (qa-agent-testing).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Builds ML pipelines: EDA, features, leakage checks, evaluation. Use when doing data science or explaining fairness, privacy, speech, vision-language, or diffusion mechanics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when answering questions about IFRS standards, IAS standards, IASB, financial reporting, revenue recognition, lease accounting, impairment, financial instruments, expected credit loss, ECL, consolidation, business combinations, fair value measurement, first-time adoption, deferred tax, provisions, insurance contracts, journal entries, disclosure requirements, IFRS compliance checks, audit support, GAAP differences, goodwill, or transitioning from local GAAP to IFRS.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Systematic evaluation of arguments for structure, validity, soundness, and charitable interpretation. Covers premise identification, conclusion extraction, argument mapping, steel-manning, and the distinction between validity (form) and soundness (form plus true premises). Use when assessing an argument, reconstructing an opponent's position fairly, or preparing a rebuttal.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Bias detection and mitigation, fairness metrics, privacy frameworks, consent models, transparency requirements, and accountability structures for data science practice. Covers algorithmic bias sources, disparate impact testing, differential privacy, GDPR principles, model cards, datasheets for datasets, responsible AI frameworks, and the organizational governance needed to make ethics actionable. Use when auditing models for bias, designing privacy-preserving systems, establishing governance processes, or evaluating the social impact of data-driven decisions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Scaffold or audit a social-science replication package, and audit the manuscript and archived research objects against FAIR. Use when setting up or repairing a package, checking one before submission, or drafting data, code, and materials availability statements. Adapted from Yusaku Horiuchi's replication-package-guide.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert task distributor specializing in intelligent work allocation, load balancing, and queue management. Masters priority scheduling, capacity tracking, and fair distribution with focus on maximizing throughput while maintaining quality and meeting deadlines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use whenever the user wants to find, shortlist, vet, or enrich US public-relations and communications agencies — media relations, crisis comms, investor relations (IR), product-launch PR, tech/startup PR, healthcare PR, B2B PR, public affairs, brand reputation, and internal communications. Triggers on "find me a tech PR agency in NY", "shortlist three IR firms for our IPO", "we need crisis comms help for a brand reputation issue", or "pull contact info for these 10 PR firm domains", even when described indirectly (we need press, get us into TechCrunch, manage our brand reputation). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-marketing-agency when scope is broader marketing beyond PR/comms. Skip in-house PR/comms hires, "write me a press release" DIY asks, PR-software comparisons (Cision, Muck Rack), influencer-marketplace questions, non-US firms, individual freelance PR people.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Tokenomics Analysis Agent — supply mechanics, unlock schedules, vesting, inflation, staking economics, distribution fairness, and token utility with Tokenomics Score (0-100)

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Clone un site web à l'identique à partir d'une URL : capture Playwright complète (screens full-page + fold par fold sur desktop/tablet/mobile, crops par section, états hover), extraction de tout ce que le navigateur expose (fonts, variables CSS, palette, typo, layout, breakpoints, animations, assets, console/network), reconstruction section par section, puis boucle de vérification par diff pixel et console propre. Utilise ce skill DÈS QUE l'utilisateur veut copier, cloner, répliquer, reproduire, « refaire pareil », s'inspirer fortement d'un site, d'une landing page, d'un template ou d'une page précise (« fais-moi la même chose que X », « copie ce site », « reproduis cette landing », « clone neverboring.ai », « je veux exactement ce design »), même s'il ne dit pas « clone ». Aussi pour auditer visuellement un site existant (screens complets, design tokens, fonts utilisées).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when one AI system needs its impact on people and on the company assessed before launch, after a significant change, or because a customer, auditor or regulator asks for it, and the team says "AI impact assessment", "assess the impact of this model", "fundamental rights impact assessment", "who could this AI harm", "bias assessment before launch" or "sign-off for the AI feature". Describes the system in its context, works through impacts on the people it affects with evidence, sizes them, proposes mitigations with measurable triggers, and writes one assessment ready for the system owner and an accountable executive to sign.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Produce a complete narrated MYTHIC SHORT FILM end-to-end on Unsora MCP in the layered cut-paper diorama style — stacked matte cardstock worlds, a strict three-colour palette, exposure that swings, paper wipes hiding every seam, landing on a face. Animation-movie storytelling, not an explainer: gods, monsters, heroes, folklore, origin myths and transformations, told in ten-second story beats with a mythic narrator, native paper foley, and one assembled MP4. Use whenever the user wants a myth, legend, fable, folktale or fairy-tale short, a cut-paper or papercraft animated story, "tell the story of X" as a video, a stop-motion-look mythic film, or says "run the cardstock diorama myth animation" or "run the diorama myth pipeline" — even with no story given, since the skill proposes myths itself. NOT for fact-driven explainers with charts and statistics (that is vox-motion-graphics).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit AI systems for bias and fairness. TRIGGERS - Use when user needs help with ai-bias-audit related tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when handling external API rate limits (e.g., OpenAI 429s, HubSpot or Stripe rate limits), preventing duplicate work from rapid event bursts (debouncing user actions), spreading load over time, ensuring per-tenant fairness, processing events in batches, limiting concurrent runs of the same operation, or assigning priority to important runs. Covers Inngest flow control: concurrency limits with keys, throttling, rate limiting, debounce, priority, singleton, and event batching.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Performs discounted cash flow (DCF) valuation analysis to estimate intrinsic value per share. Triggers when user asks for fair value, intrinsic value, DCF, valuation, "what is X worth", price target, undervalued/overvalued analysis, or wants to compare current price to fundamental value.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design, run, and review fair performance, token, and cost comparisons across GitHub Copilot CLI, Codex CLI, and direct model APIs. Use for AI CLI benchmark, Copilot vs Codex, prompt-cache diagnosis, cache read/write analysis, fresh-process latency measurement, token-cost comparison, or when a benchmark must separate provider caching from local CLI caches.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Redistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization, summary tables, and interactive plan drawing. Invoke whenever the user mentions redistricting, gerrymandering, district plans, simulation ensembles, or any redistverse package by name.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

"Build Discounted Cash Flow (DCF) valuation models to estimate intrinsic value. Use this skill when the user needs to value a company, evaluate an investment, estimate fair share price, or build financial projections — even if they say 'what is this company worth', 'should we acquire them', or 'build me a valuation model'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

"Apply Bayesian averaging to rank items by combining observed ratings with prior expectations. Use this skill when the user needs to rank items with varying review counts, build a 'top rated' list that handles low-sample items fairly, or implement IMDB-style weighted rating — even if they say 'weighted average rating', 'IMDB formula', or 'ranking with prior'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.