'uncertainty' 검색 결과

Fix the psychologically significant moment, not the logically significant metric — Rory Sutherland on experience. Use when the outcome is fine but the journey feels bad: complaints about waiting, anxiety, uncertainty, or 'it's technically fast/cheap/correct but people still hate it'; when the user asks 'how do we reduce complaints', 'how do we make waiting/onboarding/checkout feel better', 'people are anxious during X', or is about to spend big to shave a number (wait time, load time, steps) when the real pain is how the moment feels. Covers uncertainty reduction, idle vs occupied waiting, and the peak-end rule. Inspired by Rory Sutherland's *Alchemy*. Routed to from psycho-logic. 日本語の相談（「待ち時間のクレームが多い」「手続きの途中で離脱される」「お客様を不安にさせている」）にも使う。中文咨询（“等待时间投诉多”“办理中途流失”“让客户感到不安”）也适用。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

공장과 사무실의 사용량, 요금 체계, 계약 조건을 바탕으로 전력과 천연가스 조달을 검토합니다. 공급업체 비교, 최대 수요 요금 대책, 재생에너지 계약 평가와 예산 수립을 지원합니다.

• 여러 사업장의 에너지 견적 비교
• 요금제와 최대 수요 요금 검토
• 재생에너지 계약과 인증서 평가

Turn contracts, reports, and scanned forms into cited facts and proposed tasks. Preserve deadlines, explicit owners, source locations, and uncertainty, then create and verify records in an external tracker only within the user's approved scope.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract obligations and deadlines from contracts
• Turn reports into proposed follow-up tasks
• Structure scanned forms while flagging uncertain text

Find guidance on Codex settings, pricing, and OpenAI products and APIs using current official documentation. Get cited answers for setup, troubleshooting, model comparisons, migration planning, and prompt changes, with uncertainty stated when sources are inconclusive.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check Codex settings and troubleshoot problems
• Compare models for cost, speed, and quality
• Plan a model migration and adjust prompts

Choose the right engineering skills for a task and decide their order, from clarifying requirements to deployment. This guide also defines shared practices for stating assumptions, resolving uncertainty, keeping scope focused, and verifying completed work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a skill at the start of a development session
• Organizing the workflow for a new feature
• Selecting steps for debugging and code review

Write or revise a Paperclip plan that states the intended outcome, constraints, approach, and success checks. Capture unresolved decisions, maintain the saved plan, and request approval when the work requires it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a plan with clear outcomes and success checks
• Clarifying uncertainties before starting work
• Updating an existing plan without duplicating it

Review an AI team's work against its acceptance criteria using collected evidence. Match requirements to task results or artifacts, distinguish verified facts from agent claims, and identify uncertainty or missing work before recommending completion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review evidence before closing an AI team run
• Check whether deliverables meet acceptance criteria
• Separate verified results from agent claims

Check a Twenty pull request through real browser scenarios derived from its changes. Verify database effects and server logs alongside visible results, then produce screenshots, a structured verdict, and a report of any failures or uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validate user flows before or after merging a Twenty pull request
• Check database writes and timeline activity after saving records
• Investigate backend errors hidden behind a successful screen

Analyze experimental or survey data with guidance on choosing statistical tests, checking assumptions, estimating effect sizes and uncertainty, planning sample sizes, and writing results in APA style, a standard format for research reporting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing outcomes between experimental groups
• Examining relationships in survey data
• Planning the number of study participants

Stress-test research plans by comparing possible scenarios, such as sample losses, unavailable materials, or methods failing to transfer. Record assumptions and evidence, compare response options, and define contingency plans and observable triggers for changing course.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan responses to higher-than-expected sample losses
• Prepare backups for unavailable reagents or datasets
• Compare research options under resource constraints

Build and test SimPy models of queues, production, logistics, and other event-driven systems. Set execution limits, monitor waiting times and resource use, and analyze repeated runs with recorded random seeds for reproducible results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing waiting times with different staffing levels
• Modeling shared equipment in production or logistics
• Testing priority queues and interrupted work

Build quantum circuits with Qiskit, test them locally, and prepare them for IBM quantum hardware. The skill covers hardware-specific circuit conversion, sampling, expectation values, and analysis of measurement results, uncertainty, and resource usage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building and simulating quantum circuits locally
• Adapting circuits to IBM quantum hardware
• Comparing sampled results and expectation values

Review papers, drafts, and research ideas with evidence-linked feedback focused on improvement. Audit low-stakes assessment rubrics, trace supporting evidence, and check rater agreement and uncertainty without ranking people or recommending consequential decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare evidence-linked feedback on a paper draft
• Review strengths and limitations of a research idea
• Check assessment criteria and evidence traceability

Develop and prioritize early research ideas through independent brainstorming, structured discussion, evidence checks, and critical review. Keep assumptions, uncertainty, dissent, and scoring reasons visible, then record the human decision and appropriate next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring candidate directions for a new research topic
• Organizing ideas before a research team discussion
• Comparing proposals using explicit evaluation criteria

Review supplied writing through twelve DHDNA dimensions, a framework for describing reasoning and expression. Receive observations supported by quotations, optional scores, and comparisons between samples, with clear limits separating textual patterns from psychological traits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reflect on reasoning patterns in your writing
• Compare argumentation across selected texts
• Review how a text expresses assumptions and uncertainty

Assess the impact of code changes with GitNexus by tracing callers, dependencies, and affected execution flows. Check existing changes and report their scope, risk, and uncertainty before editing or committing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking the impact of changing a function
• Finding code that depends on a target
• Reviewing affected flows before committing

Assess claims when a request pushes for agreement, invokes authority, or creates artificial urgency. The skill guides responses that separate evidence from persuasion, present strong counter-evidence first, and clearly state what remains uncertain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Evaluating claims under deadline pressure
• Reviewing requests that invoke authority
• Responding to demands to endorse unsupported claims

Compare agent, prompt, or tool configuration changes using versioned test cases and explicit outcome checks. Record each attempt, distinguish agent failures from evaluation or infrastructure problems, and report regressions, permission violations, and uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare agent behavior before and after prompt changes
• Reproduce an observed failure with preserved evidence
• Run regression tests after a bounded fix

Researches external facts with available web tools and prioritizes original sources. Produces a linked synthesis that checks dates and versions, separates facts from inference, and identifies questions the available evidence has not resolved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking release notes for recent changes
• Researching official documentation for a specific version
• Investigating earlier work and related approaches

Turn supplied data into a suitable chart, dashboard, or visual explanation. The workflow chooses readable ways to show comparisons, includes source and assumption notes, and checks axes, units, and missing values without inventing data or hiding uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a chart for a specific comparison
• Creating a dashboard from data
• Adding sources and assumptions to a visual explanation

Synthesize OpenViking knowledge bases or document collections into topic-based Markdown pages that explain trends, changes, comparisons, and implications. Keep conclusions traceable to source evidence, distinguish facts from inferences, and preserve disagreements and uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing changes across financial reports
• Finding shared trends across knowledge bases
• Organizing sourced conclusions by topic

Clarify decision reasoning and combine multiple perspectives into explanations suited to the audience. Helps refine PR descriptions, design notes, and nontechnical summaries while making assumptions, tradeoffs, and uncertainty explicit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explain the reasoning behind a team decision
• Refine PR descriptions and design notes
• Explain technical details to nontechnical readers

Use a constructive thinking partner to review assumptions, separate evidence from interpretation, and test alternative explanations. Refine conclusions and wording so claims match the available evidence and support decisions under uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking assumptions before an important decision
• Reviewing whether evidence supports a conclusion
• Testing alternative explanations and counterexamples