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yogsoth-ai/literature-survey

SkillsMP 已收集 yogsoth-ai/literature-survey 中的 24 个 Skill。打开任一 Skill 可查看来源和详情。

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已展示 24 / 24 个已收集 Skill。

职业分类
医学科学家(非流行病学)
描述

Identify what the literature has NOT addressed — missing methods, untested combinations, unexplored applications, contradictions without resolution. Used by all strategies.

原文语言:英语

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职业分类
数据科学家
描述

Identify recurring themes across papers using qualitative coding methodology. Produces a codebook with theme definitions, supporting evidence, and frequency counts. Used by narrative-review.

原文语言:英语

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职业分类
流行病学家
描述

Generate PRISMA-compliant flow data documenting the screening funnel — counts at each stage (identification, screening, eligibility, inclusion) with exclusion reasons. Used by systematic-survey via prisma-screening tactic.

原文语言:英语

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职业分类
档案管理员
描述

Construct a hierarchical field map from paper collection — multi-level taxonomy with parent/child relationships, paper counts per node, and maturity indicators. Used by scoping-survey.

原文语言:英语

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职业分类
数据科学家
描述

Determine when additional searching yields diminishing returns. Analyzes the latest expansion batch against existing corpus to judge continue/near-saturation/saturated. Used by snowball and systematic-survey.

原文语言:英语

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职业分类
高等院校人类学和考古学教师
描述

Validate and prioritize starting papers for snowball surveys. Evaluates which seeds will yield the richest citation traces based on citation count, recency, and network position.

原文语言:英语

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职业分类
数据科学家
描述

Structured data extraction from deep-read papers — produces comparison tables (method, dataset, metrics, results, limitations). Used by systematic-survey and deep-survey.

原文语言:英语

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职业分类
其他高等院校社会科学教师
描述

Methodological rigor scoring for papers — evaluates bias risk, reproducibility, sample adequacy using established frameworks. Used by systematic-survey.

原文语言:英语

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职业分类
数据科学家
描述

Cluster papers by theme, method, or timeline. Produces natural groupings from a paper collection. Used by scoping-survey and narrative-review.

原文语言:英语

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职业分类
数据科学家
描述

Formalize search queries and inclusion/exclusion criteria for systematic surveys. Produces a reproducible search protocol document. Used by systematic-survey.

原文语言:英语

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职业分类
其他高等院校社会科学教师
描述

Final synthesis step — weave all gathered evidence (reading notes, extracted data, categorizations) into a coherent structured output appropriate to the strategy type. Used by all 5 strategies as the final step.

原文语言:英语

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职业分类
高校计算机科学教师
描述

Full-depth paper reading with raw text extraction. Import of literature-engine/literature-research skill. Must read fullText (true) — equations, hyperparameters, specific claims extracted.

原文语言:英语

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职业分类
数据科学家
描述

AI-summarized paper reading for intermediate depth. Import of literature-engine/literature-search skill. Must call get_paper_content for every analyzed paper.

原文语言:英语

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职业分类
客户服务代表
描述

Full-page web reading for non-academic perspectives — blogs, tech reports, product pages, industry analysis. Import of web-browsing/web-research skill. Must fetch full page via apify for every analyzed page.

原文语言:英语

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职业分类
客户服务代表
描述

Lightweight intent clarification dialogue — only invoked when the entry point cannot determine the correct strategy from context alone. Maximum 3 questions. Pure routing, not profiling.

原文语言:英语

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职业分类
高校计算机科学教师
描述

Forward and backward citation tracing tactic — expand paper coverage by tracing citation networks in both directions from seed/key papers. Alternates forward (who cited this) and backward (what this cited) passes until saturation.

原文语言:英语

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职业分类
高等院校英语语言和文学教师
描述

Theory-driven reading tactic — define a theoretical framework first, then guide reading to fill it with evidence. Five stages (theme identification, argument construction, evidence collection, counter-evidence, synthesis). The most intellectually demanding…

原文语言:英语

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职业分类
数据科学家
描述

Multi-stage PRISMA screening tactic — progressively filter papers from a large candidate pool to a focused set for deep reading. Four stages (identification, title/abstract screening, full-text screening, inclusion) with documented counts at each stage.

原文语言:英语

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职业分类
数据科学家
描述

Precise, targeted investigation of a specific sub-problem — few papers, all read in full depth. High paper-research ratio (50% deep-read rate). Use when the user knows exactly what they need to understand and requires detailed technical analysis with…

原文语言:英语

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职业分类
高等院校人类学和考古学教师
描述

Autonomous Literature Survey Engine with 5 research paradigms (scoping, systematic, deep, narrative, snowball). Use this skill whenever a user needs to survey academic literature, conduct a literature review, map a research field, trace citation lineages, or…

原文语言:英语

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职业分类
高等院校历史教师
描述

Theory-driven literature review for building arguments and frameworks. Flexible, subjective, and narrative-focused — selects evidence strategically to support a thesis. High web-research budget for blogs, opinion pieces, and industry perspectives. Use when…

原文语言:英语

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职业分类
数据科学家
描述

Broad landscape mapping strategy — quickly understand what exists in a field. Prioritizes breadth over depth with high paper-overview volume and minimal deep reading. Use when entering a new field or needing orientation before committing to deeper…

原文语言:英语

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职业分类
数据科学家
描述

Citation-chain-driven literature survey starting from seed papers. Traces research lineage in both forward (who cited this) and backward (what this cited) directions until saturation. High deep-read ratio (67%). Use when the user already has key papers and…

原文语言:英语

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职业分类
数据科学家
描述

Exhaustive PRISMA-style literature survey — comprehensive coverage of all related work on a specific question. Multi-stage screening, citation chaining, quality assessment, and structured data extraction. Use when the user needs to demonstrate complete…

原文语言:英语

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已展示 24 / 24 个已收集 Skill。