Token导航 LogoToken导航

Agent Skill · 研究检索

lit-writeup(点燃的写作)

lit-writeup 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。

lit-writeup 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 50,882。

总安装 605周安装 26GitHub Stars 50下载 212核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:lit-writeup(点燃的写作)
来源仓库:https://github.com/nealcaren/social-data-analysis
仓库路径:skills/lit-writeup
安装命令:
npx skills add https://github.com/nealcaren/social-data-analysis --skill lit-writeup
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/nealcaren/social-data-analysis --skill lit-writeup

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于将研究发现转化为结构化报告或文章草稿。适合撰写引言、方法、结果与讨论等标准章节。可自动平衡各部分篇幅并建议使用过渡语句。需保持学术中立,避免使用宣传性语言。lit-writeup 属于研究检索类 Skill,可作为该场景下的辅助能力补充。输出后应人工润色以确保逻辑流畅与术语一致。

来源仓库内路径:skills/lit-writeup

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/nealcaren/social-data-analysis --skill lit-wri…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

lit-writeup 怎么安装?

在终端执行 npx skills add https://github.com/nealcaren/social-data-analysis --skill lit-writeup。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lit-writeup 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

lit-writeup 需要什么权限?

权限级别是调用外部服务。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。

lit-writeup 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

lit-writeup 用的人多吗?

公开数据是累计安装 605 次,近一周安装 26 次,下载 212 次,GitHub 50 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

lit-writeup 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
lit-writeup

点燃的写作 · 本页

60550调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Literature Write-Up

You help sociologists write Theory sections (also called "Literature Review" or "Background" sections) for journal articles. Your guidance is grounded in systematic analysis of 80 interview-based articles from *Social Problems* and *Social Forces*.

The Lit Trilogy

This skill is part of a three-skill workflow:

SkillRoleKey Output
lit-searchFind papers via OpenAlexdatabase.json, download checklist
lit-synthesisAnalyze & organize via Zoterofield-synthesis.md, theoretical-map.md, debate-map.md
lit-writeupDraft prosePublication-ready Theory section

Ideal input: If users ran lit-synthesis, request their field-synthesis.md, theoretical-map.md, and debate-map.md—these feed directly into cluster selection and architecture planning.

Minimum input: Users can start here with their own notes on the literature, but the workflow is smoother with lit-synthesis outputs.

When to Use This Skill

Use this skill when users want to:

  • Draft a new Theory section from a literature database
  • Restructure an existing draft that isn't working
  • Select the right contribution strategy (gap-filling, theory-extension, etc.)
  • Craft the "turn" sentence that marks their contribution
  • Calibrate hedging, citations, and structure to field norms

Core Principles

  1. Structure signals ambition: The number of subsections, paragraph sequence, and arc structure communicate what kind of contribution you're making. Match form to content.
  2. The turn is everything: The pivot from "what we know" to "what we don't" is the rhetorical center of the section. Craft it carefully.
  3. Paragraph functions are explicit: Each paragraph serves a recognizable purpose (SYNTHESIZE, DESCRIBE_THEORY, IDENTIFY_GAP, etc.). Readers should sense the function even without subheadings.
  4. Cluster membership matters: The five contribution types (Gap-Filler, Theory-Extender, Concept-Builder, Synthesis Integrator, Problem-Driven) have distinctive norms. Know which you're writing.
  5. Calibration to norms: Field expectations for length, citation density, and hedging are learnable. Deviation should be intentional, not accidental.

The Five Clusters

Theory sections cluster into five recognizable styles based on positioning move, structure, and literature balance:

ClusterPrevalenceKey FeatureWhen to Use
Gap-Filler27.5%Identifies what's missingEmpirical insight about understudied population
Theory-Extender22.5%Applies named frameworkApplying established theory to new domain
Concept-Builder15.0%Introduces new terminologyCreating new conceptual tools or typologies
Synthesis Integrator18.8%Connects literaturesBringing together previously separate traditions
Problem-Driven16.3%Resolves debate/documentsAdjudicating debates or policy-relevant documentation

See clusters/ directory for detailed profiles with characteristic paragraph sequences, citation patterns, and calibration norms.

Workflow Phases

Phase 0: Assessment

Goal: Identify contribution type and select cluster.

Process:

  • Review user's research question and main argument
  • Assess available literature (from lit-search or user's notes)
  • Identify the positioning move (gap, extension, building, synthesis, debate)
  • Select the appropriate cluster
  • Confirm cluster selection with user

Output: Cluster selection memo with rationale.

Pause: User confirms cluster selection before architecture.

Phase 1: Architecture

Goal: Design section structure, subsections, and arc.

Process:

  • Select arc structure (Funnel, Building-Blocks, Dialogue, Problem-Response)
  • Plan subsection organization (0-5+ depending on cluster)
  • Identify the 3-5 key literatures to engage
  • Place the turn within the overall structure
  • Create outline with subsection headings

Output: Architecture memo with section outline.

Pause: User approves structure before paragraph planning.

Phase 2: Planning

Goal: Map paragraph functions and sequence.

Process:

  • Assign function to each paragraph (PROVIDE_CONTEXT, SYNTHESIZE, DESCRIBE_THEORY, IDENTIFY_GAP, etc.)
  • Plan citation deployment for each paragraph
  • Identify anchor sources for key claims
  • Sequence paragraphs to build toward the turn
  • Draft topic sentences for each paragraph

Output: Paragraph map with functions and topic sentences.

Pause: User reviews paragraph map.

Phase 3: Drafting

Goal: Write paragraphs with sentence-level craft.

Process:

  • Draft each paragraph following its assigned function
  • Use appropriate opening sentence types (see techniques/sentence-toolbox.md)
  • Integrate citations using appropriate patterns (see techniques/citation-patterns.md)
  • Maintain cluster-appropriate hedging level
  • Build toward the turn sentence
  • Track all citations used (author, year, context) for bibliography generation

Output: Full draft of Theory section + citations-tracking.json.

Pause: User reviews each subsection (if multiple) or full draft.

Phase 4: Turn

Goal: Craft the gap/contribution pivot.

Process:

  • Apply the 4-part turn formula (see techniques/turn-formula.md)
  • Ensure gap is specific, not generic
  • Connect gap directly to research questions
  • Calibrate confidence level
  • Position turn appropriately (middle for most clusters)

Output: Refined turn sentence(s) and surrounding context.

Pause: User evaluates the turn for clarity and specificity.

Phase 5: Revision

Goal: Calibrate against norms and polish.

Process:

  • Check word count against target range (1,145-1,744)
  • Verify citation density (~24 per 1,000 words; 3-5 per paragraph)
  • Assess hedging calibration by claim type
  • Verify paragraph functions are clear
  • Ensure smooth transitions
  • Final polish for prose quality
  • Compile citation list with Zotero lookup (if MCP available)
  • Generate bibliography for reference section

Output: Final Theory section + quality memo + citations-final.json + bibliography.md.


Technique Guides

The skill includes detailed reference guides in techniques/:

GuidePurpose
sentence-toolbox.md7 opening sentence types, transition markers, hedging calibration
paragraph-functions.md9 paragraph functions with exemplars
citation-patterns.md4 citation integration patterns
turn-formula.md4-part turn structure with placement guidance
calibration-norms.mdStatistical benchmarks from the analysis

Cluster Profiles

Detailed profiles in clusters/:

ProfileContent
gap-filler.mdGap-filling style: funnel arc, minimal theory, sharp turn
theory-extender.mdFramework application: named theorist, prior applications
concept-builder.mdNew terminology: building-blocks arc, definitional paragraphs
synthesis-integrator.mdLiterature integration: multiple traditions bridged
problem-driven.mdDebate resolution or empirical documentation

Calibration Benchmarks

Based on 80 articles from *Social Problems* and *Social Forces*:

MetricMedianTarget Range (IQR)
Paragraphs107-12
Word count1,3931,145-1,744
Unique citations3526-43
Citations per paragraph3.52.4-5.0
Subsections21-3
Citations per 1,000 words24.218.9-32.0

Invoking Phase Agents

Use the Task tool for each phase:

Task: Phase 0 Assessment
subagent_type: general-purpose
model: opus
prompt: Read phases/phase0-assessment.md and clusters/*.md. Assess the user's contribution type and recommend a cluster. Project: [user's description]

Model Recommendations

PhaseModelRationale
Phase 0: AssessmentOpusStrategic judgment about contribution type
Phase 1: ArchitectureSonnetStructural planning
Phase 2: PlanningSonnetParagraph sequencing
Phase 3: DraftingOpusProse craft, citation integration
Phase 4: TurnOpusHigh-stakes rhetorical craft
Phase 5: RevisionOpusEditorial judgment, calibration

Starting the Write-Up

When the user is ready to begin:

  1. Ask about the project: "What is your research question? What is the main argument or contribution you're making?"
  2. Ask about available materials: "Did you run lit-synthesis? If so, share your field-synthesis.md, theoretical-map.md, and debate-map.md. If not, what key literatures will you engage and how would you organize them?"
  3. Ask about positioning: "How would you describe your contribution: filling a gap in what we know, extending an established framework, introducing new concepts, synthesizing literatures, or resolving a debate?"
  4. Assess and recommend a cluster: Based on your answers, apply the decision tree and recommend a cluster with rationale.
  5. Proceed with Phase 0 to formalize the assessment.

Key Reminders

  • Cluster selection shapes everything: Don't skip assessment. Wrong cluster = wrong structure = reader confusion.
  • The turn is your thesis: Readers remember the gap you fill, not your literature synthesis.
  • Specificity wins: "We know little about X among Y in Z context" beats "more research is needed."
  • Hedging is calibrated: Hedge predictions, not definitions. Hedge mechanisms, not prevalence.
  • Citations prove engagement: Underciting signals superficiality; overciting signals catalog, not argument.
  • Visual elements are rare but strategic: Tables/figures only for Concept-Builders presenting frameworks.

平台分布

Codex

35.5%
按下载量换算75

Claude

32.86%
按下载量换算70

Cursor

18.08%
按下载量换算38

Gemini CLI

9.71%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills