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ppw%3aliteratureppw%3 文学

Agent Skill

ppw%3aliterature 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

416

周安装

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ppw%3aliterature(ppw%3 文学)
来源仓库:https://github.com/lylll9436/paper-polish-workflow-skill
仓库路径:skills/ppw%3Aliterature
安装命令:
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:literature
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:literature

简介

ppw%3aliterature 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于研究检索类任务,专注于文献资料的查找与整理。
  • 可通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前建议确认权限范围和维护状态,避免触发联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Purpose

This Skill searches academic literature using the Semantic Scholar MCP, presents an interactive numbered result list (up to 10 papers), waits for the user to select a specific paper, then generates a verified BibTeX entry built exclusively from MCP-returned data. Before any workflow begins, a pre-flight probe confirms MCP availability — if unavailable, the Skill refuses immediately with setup instructions rather than proceeding with degraded capability. After the user selects a paper, a mandatory anti-hallucination verification prompt reminds the user to confirm the paper's actual relevance before committing the citation. This Skill does not write or rewrite paper content; it searches, selects, and generates citation entries only.

Trigger

Activates when the user asks to:

  • Search or find academic papers on a topic
  • Generate BibTeX or citation entries for a reference
  • 帮我找文献、检索相关论文、帮我生成引用格式

Example invocations:

  • "Find papers about urban heat island" / "帮我找关于城市热岛的文献"
  • "Search literature for spatiotemporal analysis" / "检索时空分析相关文献"
  • "Generate BibTeX for a citation" / "帮我生成BibTeX引用格式"

Modes

ModeDefaultBehavior
directYesSingle-shot search → result list → user selects → BibTeX generated; no iteration
batchNot supported — each search requires user selection in session

Default mode: direct. Search is single-shot: if results are unsatisfactory, user re-triggers the Skill with different keywords.

References

Required (always loaded)

None. This is a search task — no expression pattern files needed.

Leaf Hints

None.

No reference files loaded. All paper metadata sourced from Semantic Scholar MCP at runtime.

Ask Strategy

The Skill collects search inputs conversationally. At most two questions:

  1. Search query (required): the topic or keyword to search — ask only if not provided in the trigger message.
  2. Result count (optional): how many results to display. Default: 5. Maximum: 10.

If the user provides the topic in the trigger message, skip question 1 and proceed immediately.

Workflow

Step 0: Workflow Memory Check

  • Read .planning/workflow-memory.json. If file missing or empty, skip to Step 1.
  • Check if the last 1-2 log entries form a recognized pattern with ppw:literature that has appeared >= threshold times in the log. See skill-conventions.md > Workflow Memory > Pattern Detection for the full algorithm.
  • If a pattern is found, present recommendation via AskUserQuestion:

- Question: "检测到常用流程:[pattern](已出现 N 次)。是否直接以 direct 模式运行 ppw:literature?" - Options: "Yes, proceed" / "No, continue normally"

  • If user accepts: set mode to direct, skip Ask Strategy questions.
  • If user declines or AskUserQuestion unavailable: continue in normal mode.

Step 1: MCP Pre-flight Check

  1. Call mcp__semantic-scholar__papers-search-basic with {"query": "test", "limit": 1}.
  2. If the call succeeds: proceed to Step 2.
  3. If the call fails or tool is unavailable: refuse immediately with: "Semantic Scholar MCP is not available. To use this Skill: Open Claude Code Settings → MCP Servers Add the Semantic Scholar server (server key: semanticscholar) Restart Claude Code and retry" Do NOT proceed past this point if MCP is unavailable.

Step 2: Collect Search Query

  1. Extract the search topic from the trigger message if present.
  2. If topic not provided, ask: "What topic or keywords should I search for?"
  3. Confirm result count (default: 5).
  • Record workflow: Append {"skill": "ppw:literature", "ts": "<ISO timestamp>"} to .planning/workflow-memory.json. Create file as [] if missing. Drop oldest entry if log length >= 50.

Step 3: Execute Search and Build Result Cards

  1. Call mcp__semantic-scholar__papers-search-basic with the user's query and result count.
  2. For each returned paper: if the abstract field is empty in the search result, call mcp__semantic-scholar__get-paper-abstract to fetch an abstract excerpt.
  3. Display numbered result cards in this exact format: **[1] Title of the Paper** Authors: Smith, J.; Lee, K. · Year: 2023 · Citations: 142 > "One sentence from abstract describing the core contribution..." **[2] Another Relevant Paper** Authors: Zhang, W. · Year: 2022 · Citations: 89 > "Abstract not available"
  4. End the display with: "Please select a paper (enter number), or type 'none' to cancel."

Step 4: User Selection

  1. Wait for the user to enter a number or "none".
  2. If "none": respond "Search cancelled." and end the session.
  3. If out-of-range number: ask the user to re-enter a valid number from the displayed list.
  4. If valid number: confirm the selection by restating the paper title.
  5. Display the mandatory verification prompt (never omit): "Please confirm that the selected paper actually supports the claim you are citing — do not rely solely on the title."

Step 5: Generate BibTeX

  1. Construct the BibTeX entry using only fields returned by the MCP for the selected paper.
  2. Citation key format: firstAuthorLastnameLowercaseYYYYfirstKeyword (e.g., smith2023urban).
  3. Use @article for journal papers, @inproceedings for conference papers, @misc for preprints — follow the paper type returned by MCP.
  4. If any field (volume, pages, DOI) is not returned by MCP, omit that field — never fill from prior knowledge.
  5. Display the BibTeX in a code fence: @article{smith2023urban, title = {Full title from MCP}, author = {Last, First and Last2, First2}, journal = {Journal name from MCP}, year = {2023}, volume = {101}, pages = {101943}, doi = {10.1016/j.compenvurbsys.2023.101943}}

Output Contract

OutputFormatCondition
bibtex_entryBibTeX code block (@article, @inproceedings, or @misc)After user selects a paper
All field values must come from the MCP-returned paper record. Never supply missing fields from prior knowledge — omit them instead.

Example BibTeX (all fields from MCP data):

@article{li2022spatiotemporal,
  title  = {Spatiotemporal Analysis of Urban Land Use Change},
  author = {Li, Wei and Wang, Fang},
  journal = {Computers, Environment and Urban Systems},
  year   = {2022},
  volume = {95},
  pages  = {101812},
  doi    = {10.1016/j.compenvurbsys.2022.101812}
}

Edge Cases

SituationHandling
MCP pre-flight failsRefuse with exact setup instructions from Step 1; never proceed to search
Search returns zero results"No papers found for '[query]'. Try broader keywords or re-trigger with different terms."
Abstract field missing for a resultShow "Abstract not available" in result card; do not skip the paper
User selects out-of-range numberAsk to re-enter a valid number from the displayed list
User types "none""Search cancelled." — end session
MCP returns non-article typeUse @inproceedings or @misc as appropriate; never force @article
DOI not returned by MCPOmit doi field; add comment: % DOI not available — please verify manually

Fallbacks

ScenarioFallback
Semantic Scholar MCP unavailableRefuse immediately with setup guidance (Step 1 handles this); no partial fallback mode
get-paper-abstract call fails for one paperMark abstract as "Abstract not available"; continue displaying remaining results
Structured Interaction unavailableAsk search query as plain-text question; proceed with numbered list in conversation
Basic search returns poor resultsInform user: "If results are poor, re-trigger the Skill with more specific keywords" (single-shot only)

Examples

User: "Find papers about urban heat island mitigation"

Skill: [Pre-flight check passes silently] → Calls mcp__semantic-scholar__papers-search-basic with {"query": "urban heat island mitigation", "limit": 5} → Displays results:

**[1] Urban Heat Island Mitigation through Green Infrastructure**
Authors: Smith, J.; Lee, K. · Year: 2023 · Citations: 142
> "This study evaluates green roof and tree-planting strategies for reducing UHI intensity in dense urban cores."

**[2] Cool Pavements and Their Effect on Urban Thermal Comfort**
Authors: Zhang, W.; Chen, L. · Year: 2022 · Citations: 89
> "A field experiment comparing reflective pavement materials across five climate zones."

Please select a paper (enter number), or type "none" to cancel.

User: "1"

Skill: "You selected: Urban Heat Island Mitigation through Green Infrastructure (Smith, J.; Lee, K., 2023)."

"Please confirm that the selected paper actually supports the claim you are citing — do not rely solely on the title."

Skill (after user confirms):

@article{smith2023urban,
  title   = {Urban Heat Island Mitigation through Green Infrastructure},
  author  = {Smith, John and Lee, Kwang-Ho},
  journal = {Computers, Environment and Urban Systems},
  year    = {2023},
  volume  = {101},
  pages   = {101943},
  doi     = {10.1016/j.compenvurbsys.2023.101943}
}

*Skill: literature-skill* *Conventions: references/skill-conventions.md*

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02

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03

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能力概览

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.99%
按下载量换算51

Claude

27.7%
按下载量换算37

Cursor

17.87%
按下载量换算24

Gemini CLI

9.43%
按下载量换算13

安全审计

暂无安全审计结果可展示。

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

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