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research-gap-finder

analyze topic coverage, bottlenecks, controversies, and plausible research gaps when the input includes a research topic, a set of papers, or the user's early ideas and the user needs a grounded gap analysis, problem framing, small entry points, or experiment hypotheses without forced novelty claims.

DeepseekModel Curated skill Quality Excellent · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=chtc66-academic-skills-research-gap-finder-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name research-gap-finder description analyze topic coverage, bottlenecks, controversies, and plausible research gaps when the input includes a research topic, a set of papers, or the user's early ideas and the user needs a grounded gap analysis, problem framing, small entry points, or experiment hypotheses without forced novelty claims. Research Gap Finder 用这个 skill 分析一个研究主题的已有覆盖、瓶颈、争议点和潜在 research gap。目标是帮助用户识别真正值得切入的问题,而不是硬造创新点。 工作流 先概括主题和当前输入覆盖范围。 参考 references/problem_framing_template.md 把问题边界说清楚。 参考 references/gap_analysis_template.md 分析已有覆盖、瓶颈、争议点和潜在 gap。 输出小问题切入建议、可验证实验思路和风险提示。 输入处理规则 接收研究主题、若干论文、用户已有想法或问题设想。 如果论文覆盖很少,先输出“当前只是初步 gap 讨论”,不要直接下创新结论。 如果用户已有想法,先判断它更像真正 gap、工程机会、评测缺口,还是阅读不足导致的表面空白。 输出规则 默认输出: 主题概括 已有工作覆盖面 常见方法路线 当前瓶颈 争议点 research gap 可切入的小问题 潜在实验验证思路 风险提示 每个 gap 都尽量说明它为什么尚未被充分覆盖。 明确区分“真正的 gap”和“只是文献读得还不够”。 证据与表述约束 不要为了给用户灵感而硬造创新点。 不要把“还没人做到”作为默认前提。 当输入不足时,把 gap 改写成“待进一步核实的潜在切入点”。 何时读引用文件 始终读取 references/gap_analysis_template.md 。 在需要重新定义问题边界或收敛切入角度时读取 references/problem_framing_template.md 。
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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