'feasibility' 검색 결과

Study authorized wireless devices beyond conventional Wi-Fi using SDR, software-defined radio. Identify signal characteristics, analyze protocols, and assess replay feasibility in shielded labs to evaluate unauthorized control risks and develop hardening recommendations.

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• Identify signals from authorized remotes and sensors
• Analyze legally received ADS-B or remote-control protocols
• Assess replay feasibility in a shielded laboratory

Plan a prospective clinical study by ranking endpoints, estimating participant numbers and statistical power, and assessing feasibility. Outputs include assumptions and named reviewers, providing material for expert review before a protocol is finalized.

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• Choosing primary and secondary study endpoints
• Estimating sample size with dropout allowance
• Assessing feasibility before a study review

Designs a realistic, execution-aware biomedical study version under explicit constraints of samples, time, budget, data access, lab capacity, team skill, and validation resources. Always use this skill when the user has a real study idea, a candidate route, or a partially framed project but cannot assume ideal conditions. If critical feasibility inputs are missing, first clarify what resources are currently available, what resources may be obtainable, and what resources are realistically unavailable. Do not invent access, capabilities, collaborations, or validation resources. Focus first on feasibility-constrained study framing, route narrowing, dependency control, and minimum viable study design.

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Author and validate durable data and ML feasibility studies using the Feasibility Study Interchange Profile, constrained YAML authority, UUID URN identity, lifecycle lineage, and evidence traceability. Use when assessing whether available data and technical evidence support a proposed outcome.

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Manages backup and archive data under retention schedules and erasure obligations. Covers the technical infeasibility exception for backup deletion, backup cycle alignment with retention periods, restore-and-delete procedures, and interim protective measures during backup retention. Activate for backup deletion, archive erasure, backup retention, restore and delete, technical infeasibility queries.

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본격적인 개발 전에 작은 시제품을 실행해 아이디어의 실현 가능성과 방식별 차이를 검증합니다. 실행 결과를 근거로 채택, 조정, 보류 여부를 정리합니다.

• 아이디어의 실현 가능성을 확인합니다
• 같은 조건에서 두 방식을 비교합니다
• 본격 개발 전에 예외 조건을 검증합니다

Develop a social science research direction from an initial interest, organize the literature, and assess evidence and feasibility. Structured worksheets help compare research questions, challenge novelty claims, and keep academic wording within what the evidence supports.

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• Turn a broad interest into research questions
• Map literature and identify unresolved problems
• Challenge novelty claims from a reviewer's perspective

Analyze how ransomware encrypts files and manages keys to assess whether decryption is feasible. Examine implementation weaknesses, check existing decryptors, and document recovery options with technical reasons for the assessment.

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• Assessing whether ransomware-encrypted files can be decrypted
• Examining encryption routines and key management
• Investigating key recovery from memory dumps

Examine feature ideas for existing products to uncover risky assumptions about customer value, usability, business support, and technical feasibility. Consider product, design, and engineering perspectives, then record potential failures, confidence levels, and suggested ways to test each assumption.

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• Reviewing assumptions behind a feature idea
• Assessing risks from three professional perspectives
• Planning how to test uncertain assumptions

Build a short, playable game sequence before full production to check whether the complete gameplay loop works at the intended quality. Use playtest observations and daily progress records to assess feasibility and decide the next direction.

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• Checking production feasibility after game design is complete
• Testing a complete gameplay loop with players
• Estimating production speed from actual build progress

Explore research directions through ten structured thinking frameworks, then rank ideas by their importance, clarity, and feasibility. Turn a vague interest into a focused proposal with a short explanation, candidate experiments, and an initial feasibility study.

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• Exploring a new research direction
• Finding fresh angles on a stalled project
• Assessing an early research idea

Organize AI agents into execution, management, and review roles for complex projects. Choose preset or custom teams, share project context and decisions, and combine their discussions and work into meeting records, feasibility reports, or implementation outputs.

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• Reviewing a technical architecture from several perspectives
• Discussing product pricing across market and cost considerations
• Assessing a new product's feasibility

Turn development ideas into agreed designs through focused conversation. The skill clarifies goals, constraints, and success criteria, then chooses a process for feasibility research, small changes, or new systems before implementation begins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying the purpose of a new feature
• Agreeing on a design for an existing code change
• Comparing approaches for a new system

Develop a broad research interest into evaluated project options. Specialized agents generate ideas, assess feasibility and competition, and draft abstracts and conclusions, helping researchers decide what to pursue, postpone, or drop and which assumption to test first.

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• Turn a broad research interest into project ideas
• Compare the novelty and feasibility of research proposals
• Check competing work before choosing a direction

Turn a broad research idea into clear, testable questions. Compare familiar and less conventional approaches, structure the selected question around its population and methods, and assess variables, feasibility, and potential theoretical contributions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a research topic into testable questions
• Narrow an overly broad research question
• Compare alternative research angles

Find datasets for a research question and compare whether they support the planned study. Receive ranked candidates with feasibility grades, coverage, access requirements, methodological limitations, and recommended next steps for obtaining the most suitable data.

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• Find datasets for a research question
• Check whether data supports the planned research method
• Compare access requirements and waiting times

Generate 15–20 research directions from a question, topic, or data opportunity, then narrow them to 5–7 candidates. Receive ranked ideas with feasibility assessments, key risks, confidence scores, and reasons for rejecting the others.

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• Explore research directions from a broad topic
• Find research uses for newly available data
• Compare ideas by feasibility and contribution

Turn an initial research idea into a project specification through a structured interview. Develop testable questions, hypotheses, methods for identifying causal effects, and data requirements, then rank options by feasibility and contribution and save the plan.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a broad topic into research questions
• Compare approaches for identifying causal effects
• Prioritize questions by feasibility and contribution

Guide authorized subdomain takeover assessments involving DNS records that point to unclaimed resources. The skill defines boundaries, suggests further checks, and specifies evidence for takeover feasibility, potential impact, or a report of unsuccessful investigation.

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• Define the scope of an authorized subdomain takeover assessment
• Investigate DNS records pointing to deleted services
• Organize evidence of takeover feasibility and potential impact

Analyzes the feasibility of a proposed Meta-analysis topic by searching for existing Meta-analyses and Clinical Trials on PubMed/ClinicalTrials.gov. Use when you need to evaluate if a topic is viable for a new Meta-analysis.

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Assesses whether a medical research topic is worth starting now by separating true novelty from pseudo-novelty, auditing real feasibility under stated resource constraints, and forcing a concrete start / narrow / redesign / stop decision. Always require explicit assumptions and never fabricate references, datasets, resource availability, precedent studies, or publication claims.

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Performs retrosynthetic planning using AiZynthFinder (template-based MCTS), maintained or version-pinned template-free models, ASKCOS, and emerging RetroSynFormer with explicit handling of route scoring, configurable MCTS rewards, building-block availability, and forward-prediction checks. Use when assessing synthetic feasibility of generated or selected molecules, planning multi-step syntheses, building synthesis-aware design pipelines, or screening libraries for retro-route feasibility.

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Clinical study operations — protocol structure, endpoint selection, eligibility design, sample-size and power planning, site feasibility, and documentation readiness. Use when planning, auditing, or costing a study.

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Use when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still unknown, when a plan's largest configuration has never been executed, when a memory or wall-clock ceiling is estimated rather than measured, or when someone proposes pre-registering over runs that have never happened

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.