'survey' 검색 결과

コンペに関連する論文や類似コンペの解法を検索し、survey/papers/にまとめる。リサーチフェーズや新しいアプローチを探すときに使う。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SOP for the architect-tier campaign workflow (/campaign): exhaustive survey, mitigation planning, tiered orchestration, and reconciliation. Trigger when: - Running a multi-workstream initiative where an expensive architect-tier council surveys, plans, emits worker prompts, and judges landed work. - Conducting production-readiness assessments that fan out into autonomous mitigation dispatches across model tiers. - Prompt contains: /campaign, campaign workflow, survey, orchestrate, reconcile, premise freshness, tier routing, worker IBC, scratch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Synthesises exit interview notes or leaver survey responses into a DRAFT themed report: coded themes with record counts and shares, anonymised verbatim evidence, breakdowns by broad group only for groups that meet a minimum group size, referred items and open questions for the people team, without naming or identifying any individual. Use when the user asks to analyse, summarise, code, theme or report on exit interviews, leaver feedback, attrition interviews or departure surveys, or says "what are our leavers telling us", "theme these exit interviews" or "summarise the leaver survey". Do not use for customer or product feedback, use customer-feedback-theme-synthesis instead; for redacting one document with no theming, use document-deidentification-pass. Drafts for human review; never approves, authorises or signs off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Survey one surface of tdmcp (artist controls, library/packaging, CLI/DX, AI/LLM, or TouchDesigner depth) for candidate NEW features — inventory what exists, cross-check the roadmap, apply the gap-finding lenses, vet each idea, and emit a structured, novelty- and confidence-labelled candidate list to _workspace/discovery/. Use when a td-surveyor agent is scouting a surface during the feature-discovery harness.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Focused Signals scout for PostHog projects running surveys. Watches active surveys for score regressions (NPS / CSAT / rating drops), response-volume drops, abandonment spikes, and targeting drift, AND aggregates open-text responses into recurring themes the team should know about (clusters of complaints, praise, feature requests). Emits findings only when a theme or anomaly clears the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet — no dependencies on other skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

현장 조사 졸업 연구 등을 기여, 근거, 한계가 드러나는 HTML 발표 자료로 정리합니다. 노란 종이, 안전핀 그림, 손글씨풍 글자로 따뜻한 분위기를 만듭니다.

• 현장 조사 졸업 연구 발표
• 정성적 조사 결과 발표
• 워크숍 회고 자료 제작

인터뷰, 문의, 설문을 정리해 제품과 디자인 결정에 쓸 HTML 화면을 만듭니다. 근거, 주제, 확신 수준, 개선안 비교와 다음 실험을 함께 제시합니다.

• 인터뷰와 고객 문의를 함께 분석합니다
• 초기 설정 개선안을 비교합니다
• 관계자에게 근거와 불확실성을 공유합니다

연구 주제에 맞는 여러 논문을 arXiv에서 찾아 방법, 결과, 한계를 비교합니다. 공통 주제와 연구 공백을 정리하고 인용 형식을 통일한 문헌 고찰을 작성합니다.

• 연구 주제의 동향을 알아볼 때
• 여러 논문의 방법과 결과 비교
• 주석이 있는 참고 문헌 목록 작성

Review contact, lead capture, quote, survey, and checkout forms to identify obstacles to completion. Get prioritized recommendations for fields, layout, wording, mobile usability, and error messages, plus ideas for comparing alternative designs through tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing where visitors abandon a contact form
• Reconsidering required fields in a demo request form
• Planning a multi-step quote request form

Create fillable Word forms with text fields, date controls, dropdowns, and clickable checkboxes. Protect static document content while leaving designated fields editable, or prepare mail-merge placeholders for templates that receive data later.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating protected employee onboarding forms
• Building surveys with dropdowns and checkboxes
• Preparing contract templates with editable fields

Turn company values into observable workplace behaviors. Develop a culture code, a document explaining how the company operates, design anonymous culture surveys, and choose recurring practices suited to the organization's size and growth stage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning company values into concrete behaviors
• Writing a culture code for new hires
• Designing anonymous culture surveys

Analyze reviews, surveys, and other user feedback by user group. Summarize satisfaction scores, recurring complaints, positive themes, and the goals users want to achieve, then recommend product improvements based on frequency, severity, and business impact.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding recurring themes across large volumes of user feedback
• Comparing satisfaction across user groups
• Prioritizing product improvements from customer complaints

Review communications research by searching existing libraries and notes before academic databases. Produce a paper comparison table covering methods, results, and limitations, then summarize major approaches, evidence strength, and remaining research gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Surveying research on wireless and satellite communications
• Finding related work from saved papers and notes
• Comparing assumptions, methods, and limitations across papers

Build a scanning entrance for Three.js models, revealing their wire structure before the solid surface appears. Coordinate both layers with one expanding wave, then remove the temporary wires when the animation finishes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Introduce a 3D model with a radial scan
• Show a model's structure before its surface
• Create a holographic assembly effect

Combine interview themes and numerical findings into comparison tables and integrated conclusions. The skill helps select an integration approach, explain agreements and contradictions, and assess whether conclusions are supported by both kinds of evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare survey results with interview themes
• Develop survey items from interview findings
• Explain conflicting qualitative and quantitative findings

Prepare survey and administrative datasets for analysis with Python, R, or Stata. Generate cleaning code to handle missing values, duplicates, outliers, and derived variables, with documented transformations and integrity checks that support reproducible research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean missing values, duplicates, and outliers in survey data
• Merge multiple data sources for analysis
• Prepare panel datasets that track units over time

Develop literature reviews on AI for medical imaging, including segmentation, detection, and classification. Organize research from multiple sources into a structured manuscript with method comparisons, evaluation metrics, supporting citations, and limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting literature reviews on medical imaging AI
• Comparing methods for segmentation, detection, and classification
• Combining literature from ArXiv, PubMed, and Zotero

Analyze research data with guidance on choosing statistical tests, checking their assumptions, and measuring effect sizes, meaning the magnitude of differences or relationships. It also supports sample size planning, Bayesian analysis, and APA-style reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing groups in experimental or survey data
• Choosing tests and checking their assumptions
• Planning the required study sample size

Design unbiased survey instruments — question wording, scales, and sampling — to measure attitudes at scale. Use when you need quantitative breadth. For behavioural experiments, use `a-b-test-design` (prototyping-testing).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' or 'involuntary churn.' This skill covers voluntary churn (cancel flows, save offers, exit surveys) and involuntary churn (dunning, payment recovery). For post-cancel win-back email sequences, see email-sequence. For in-app upgrade paywalls, see paywall-upgrade-cro.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages. Includes 50+ input types, validation strategies, accessibility patterns (WCAG 2.1), multi-step wizards, and UX best practices. Provides decision trees from data type to component selection, validation timing guidance, and error handling patterns. Use when creating forms, collecting user input, building surveys, implementing validation, designing multi-step workflows, or ensuring form accessibility.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Identify survey/review papers in a retrieved set and extract taxonomy seeds into `outline/taxonomy.yml` (topics/subtopics/terminology).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Draft non-prose visuals artifacts (timeline, figure specs) for a survey, grounded in evidence and using citation keys from `citations/ref.bib`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.