329건 · 관련도순
Design a teacher think-aloud that models historical thinking strategies with a specific document. Use when planning explicit strategy instruction or when students follow a protocol without understanding the underlying reasoning.
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Adapt a historical primary source for classroom use — modifying complexity and length while preserving features for sourcing, close reading, and corroboration. Use when a primary source is too complex for the target age group.
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Broad crypto market data from CoinGecko covering 13,000+ tokens. Global market stats, historical price data going back years, exchange volumes, trending tokens, and category filters. Best for macro analysis and long-term historical data.
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Multi-dimensional Amazon product search and filtering based on Nexscope data, covering 14 marketplaces, with support for historical monthly snapshot lookback. Trigger when the user mentions Nexscope product search, Amazon product filtering, competitor research, category analysis, brand bestsellers, seller analysis, seasonal products, historical snapshot review, product search, monthly sales/revenue, ABA keyword product discovery, price range filtering, new product discovery, multi-condition combined filtering, product search, competitor research, category analysis, brand bestsellers, seller analysis, seasonal products, historical snapshot. Even if the user does not explicitly mention "Nexscope", if their need involves Amazon product search, filtering, comparison, or product exploration by category/brand/seller dimensions, this skill should also be triggered.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a teacher think-aloud that models historical thinking strategies with a specific document. Use when planning explicit strategy instruction or when students follow a protocol without understanding the underlying reasoning.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Adapt a historical primary source for classroom use — modifying complexity and length while preserving features for sourcing, close reading, and corroboration. Use when a primary source is too complex for the target age group.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Primary and secondary source analysis for historical reasoning. Covers source classification, sourcing (author/context/purpose), corroboration across multiple sources, contextualization within time and place, and bias detection. Use when evaluating historical evidence, assessing source reliability, or constructing evidence-based historical arguments.
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Major art movements and their historical context for art education. Covers 12 movements from the Renaissance to contemporary art, their defining characteristics, key artists, signature works, and the intellectual/social forces that produced them. Use when analyzing artworks in historical context, understanding stylistic lineages, identifying influences across periods, or connecting studio practice to art-historical precedent.
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대량 데이터 수집, 과거 데이터 보충, 변환, 동기화의 지연을 단계별로 조사합니다. 처리 방식을 비교해 속도를 높이고 행 수, 파일 수, 시각의 일치 여부를 확인합니다.
손익계산서·재무상태표·현금흐름표를 수식으로 연결한 Excel 모델을 만듭니다. 실적과 예측 가정을 입력하고 시나리오를 비교하며 세 재무제표의 일관성을 단계별로 확인합니다.
Paperclip의 Storybook 예시를 실제 제품 UI와 기능 목록에 대조합니다. 데이터·분류·참조를 정리하고 현재 기능의 예시, 시제품, 과거 예시를 구분합니다.
지정한 종목의 가격 데이터에서 이상 움직임을 찾아 매매 신호를 순위별로 정리합니다. 저장된 전략으로 필터링하고 과거 패턴 비교와 시장 국면 예측을 결합합니다.
Capture Remotion Studio timelines with matching framing and create a video that wipes between the before and after images. The workflow also covers recreating an older layout from a historical code revision.
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Retrieve financial data for market and company analysis, including stocks, forex, crypto, financial statements, and economic indicators. Access over 20 years of historical data and more than 50 technical indicators, which summarize price and trading patterns.
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Investigate signs of intrusion through hypothesis-led log searches, then turn findings into detection rules. Supports Sigma, YARA, and SIEM queries, with attention to false positives, data field mapping, and validation against historical logs.
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Design backtests that evaluate trading strategies against historical data. Account for trading costs, avoid using future information or excluding delisted securities, and compare strategies using separate development and evaluation periods.
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Assess whether bonds are expensive, cheap, or fairly priced by comparing yields with government rates and credit risk benchmarks. Combine spread breakdowns, historical context, and interest rate scenarios into tables and a recommendation.
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Review trading rules across China A-shares, Hong Kong stocks, US stocks, and crypto markets. Use comparison tables and checklists to identify execution limits, short-selling constraints, trading hours, fees, and tax considerations when designing historical trading simulations.
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Turn academic papers and research reports into investment signals and trading strategies. Coordinate existing tools to extract formulas, implement rules, test them on historical data, store results, and monitor whether their effectiveness declines over time.
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Analyze investment returns and portfolio risk using loss thresholds, average losses beyond those thresholds, and peak-to-trough declines. Combine simulated price paths with historical and hypothetical market shocks to produce a risk report and control recommendations.
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Generates buy, sell, or stand-aside signals from calendar patterns using price and volume data. Supports configurable months and weekdays, including combined conditions, for testing seasonal trading ideas against historical data.
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Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.
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Research stock and cryptocurrency strategies through historical testing, factor analysis, and options pricing. Analyze trading journals, extract rules from profitable trades, and generate reports comparing simulated results with actual trading outcomes.
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Use CCXT, a library with a common interface for over 100 cryptocurrency exchanges, to retrieve historical prices and volumes, current quotes, order books, and recent trades. Public market data requires no API key.
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