paper-analyst

Name: paper-analyst
Author: luwill

Other Community

Repo stars 650
Author updated Live
Author repo research-skills

Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network

Domain: Other
Compatible agents: Claude Code
Cursor
Cline
Codex
Windsurf
Gemini CLI

+20
Trust score: 88 / 100 · community maintained
Author / version / license: @luwill · no license declared
Token usage: Lean
Setup complexity: Plug-and-play
External API key: Not required
Operating systems: Unspecified (assume cross-platform)
Runtime requirements: No special requirements
Permissions: Read-only
Write / modify
Network behavior: Local-only
Install commands: 26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview paper-analyst.preview

---
name: paper-analyst
description: > 精读论文、提取方法细节、构建结构化对比表。 对每篇核心论文，通过以下方式获取内容： 每篇论文生成一个分析文件: paper_analyses/{arxiv-id}.md 跨论文对比，生成…
category: other
runtime: no special runtime
---

# paper-analyst output preview

## PART A: Task fit
- Use case: > 精读论文、提取方法细节、构建结构化对比表。 对每篇核心论文，通过以下方式获取内容： 每篇论文生成一个分析文件: paper_analyses/{arxiv-id}.md 跨论文对比，生成 comparison_tables.md [用一句话概括这篇论文的核心贡献] runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “角色定位 / 分析流程 / Step 1: 理解任务” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “> 精读论文、提取方法细节、构建结构化对比表。 对每篇核心论文，通过以下方式获取内容： 每篇论文生成一个分析文件: paper_analyses/{arxiv-id}.md 跨论文对比，生成 comparison_tables.md [用一句话概括这篇论文的核心贡献] runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “角色定位 / 分析流程 / Step 1: 理解任务” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.

## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.

SKILL.md SKILL.md

---
name: paper-analyst
description: > 精读论文、提取方法细节、构建结构化对比表。 对每篇核心论文，通过以下方式获取内容： 每篇论文生成一个分析文件: paper_analyses/{arxiv-id}.md 跨论文对比，生成…
category: other
source: luwill/research-skills
---

# paper-analyst

## When to use
- > 精读论文、提取方法细节、构建结构化对比表。 对每篇核心论文，通过以下方式获取内容： 每篇论文生成一个分析文件: paper_analyses/{arxiv-id}.md 跨论文对比，生成 comparison_tables.md […
- Use it when the task has clear inputs, repeatable steps, and validation criteria.

## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.

## Execution rules
- Organize steps around “角色定位 / 分析流程 / Step 1: 理解任务” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.

## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies.

Evidence boundary and execution chain

The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.

skill "paper-analyst" {
  input      -> user goal + target files + boundaries + acceptance criteria
  context    -> 角色定位 / 分析流程 / Step 1: 理解任务
  rules      -> SKILL.md triggers / order / output contract
  runtime    -> no special runtime | read files, write/modify files | mostly runs locally
  guardrails -> usually needs no extra API key + small-sample validation + diff/log review
  output     -> copyable result + checklist + next iteration
}

Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

Core job: > 精读论文、提取方法细节、构建结构化对比表。对每篇核心论文，通过以下方式获取内容：每篇论文生成一个分析文件: paper_analyses/{arxiv-id}.md 跨论文对比，生成 comparison_tables.md [用一句话概括这篇论文…
Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

Structure: The skill is organized around “角色定位”, “分析流程”, “Step 1: 理解任务”, “Step 2: 确定分析范围”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
Invocation: Name paper-analyst directly; if the source includes slash commands, start with the command and then add task context.
Validation: Start small and check whether the result follows “角色定位 / 分析流程 / Step 1: 理解任务” before expanding.

Boundaries And Review

Dependencies: It usually needs no extra API key, so start with a small validation task.
Permissions: Declared permissions include read / write; ask the agent to state file, command, and rollback boundaries before acting.
Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Paper Analyst Skill — 论文分析师

精读论文、提取方法细节、构建结构化对比表。

角色定位

核心职责：

论文精读 — 深入理解核心论文的方法、实验、贡献
结构化提取 — 按统一模板提取方法信息
对比分析 — 构建跨论文对比表，发现技术趋势
知识凝练 — 总结各类方法的共性和差异

分析流程

Step 1: 理解任务

从以下文件获取上下文：

IMPLEMENTATION_PLAN.md — 综述范围、分类框架、大纲
AGENTS.md — 术语规范
literature_matrix.md — 文献列表和分类

Step 2: 确定分析范围

精读对象: Top 20 核心论文（literature_matrix.md 中标注）
快速扫描: 其余论文的摘要和关键结果
优先级: 核心论文 > 高引论文 > 最新论文

Step 3: 论文精读

对每篇核心论文，通过以下方式获取内容：

Exa 搜索 — 获取 ArXiv 页面的文本内容
WebFetch — 访问论文 URL 提取详情
Semantic Scholar — 获取引用关系和元数据

提取以下信息填入分析卡片。

Step 4: 填写分析卡片

每篇论文生成一个分析文件: paper_analyses/{arxiv-id}.md

Step 5: 构建对比表

跨论文对比，生成 comparison_tables.md

论文分析卡片模板

# {Paper Title}

## 基本信息
- **作者**: [Authors]
- **年份**: YYYY
- **来源**: [Venue/ArXiv]
- **ArXiv ID**: XXXX.XXXXX
- **引用数**: N
- **代码**: [URL or N/A]

## 一句话总结
[用一句话概括这篇论文的核心贡献]

## 问题定义
- **任务**: [具体任务]
- **挑战**: [该论文要解决的核心挑战]
- **动机**: [为什么现有方法不够好]

## 方法

### 核心思路
[2-3 段描述方法的核心创新]

### 关键组件
1. **[Component 1]**: [描述]
2. **[Component 2]**: [描述]
3. **[Component 3]**: [描述]

### 技术细节
- 模型架构: [描述]
- 损失函数: [描述]
- 训练策略: [描述]

## 实验

### 数据集
| 数据集 | 规模 | 任务 |
|--------|------|------|
| [Name] | [Size] | [Task] |

### 主要结果
| 指标 | 本文方法 | 基线最优 | 提升 |
|------|----------|----------|------|
| [Metric] | X.XX | X.XX | +X.X% |

### 消融实验要点
- [关键发现1]
- [关键发现2]

## 优势与局限

### 优势
1. [Strength 1]
2. [Strength 2]

### 局限
1. [Limitation 1]
2. [Limitation 2]

## 与综述的关联
- **所属分类**: [Category > Subcategory]
- **在综述中的位置**: [Section X.X]
- **与其他论文的关系**: [互补/竞争/改进自...]

对比表模板

comparison_tables.md 格式

# Comparison Tables

## Table 1: 方法总览对比

| 方法 | 年份 | 类别 | 核心创新 | 数据集 | 主要指标 | 代码 |
|------|------|------|----------|--------|----------|------|
| [Name] | YYYY | [Cat] | [Innovation] | [Data] | [Score] | ✅/❌ |

## Table 2: 性能对比（按数据集）

### Dataset: [Name]

| 方法 | [Metric1] | [Metric2] | [Metric3] | 参数量 | 推理速度 |
|------|-----------|-----------|-----------|--------|----------|
| [Method] | X.XX | X.XX | X.XX | XM | X ms |

## Table 3: 方法特征对比

| 方法 | 预训练 | 多模态 | 可解释性 | 计算成本 | 数据需求 |
|------|--------|--------|----------|----------|----------|
| [Method] | ✅/❌ | ✅/❌ | 高/中/低 | 高/中/低 | 高/中/低 |

## 趋势分析

### 技术演进
- [趋势1]: [描述]
- [趋势2]: [描述]

### 研究空白
- [Gap1]: [描述]
- [Gap2]: [描述]

分析质量标准

每篇分析卡片

所有字段填写完整
一句话总结准确凝练
方法描述足以让读者理解核心创新
实验数据准确（交叉核实）
优势局限分析客观

对比表

覆盖所有主要方法
指标数据来源可追溯
对比维度全面且有意义
趋势分析有数据支撑

交接

完成后：

更新 IMPLEMENTATION_PLAN.md Phase 3 状态为「已完成」
在 comparison_tables.md 末尾 @mention 论文撰写员
如遇问题 @mention 研究主管

Install command

One-click installPick a runner, click Copy, paste into your terminal, press enter

npx skills add luwill/research-skills/skills/paper-analyst -y

Open general install guide

View skill source

Works with

Claude Code
Cursor
Cline
Codex
Windsurf
Gemini
OpenCode
Roo Code
AAide
+Augment
GitHub Copilot
OpenClaw
KKiro
Junie
WWarp
Goose
Trae
Kilo Code
OpenHands
Amp
Zencoder
CContinue
AIAider
CodeBuddy
CodeGeeX
Replit Agent

Security audit

88 / 100

Community

未声明 license/许可。
未声明 version。
未限定 allowed-tools，默认拥有全部工具权限。

Metadata

Source: github
luwill/research-skills
中文

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