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lit-writeup点燃的写作

Agent Skill

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。

总安装

605

周安装

26

GitHub Stars

50

下载量

212
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: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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

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

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

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

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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