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paper-workflow纸张工作流程

Agent Skill

paper-workflow 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

9,009

周安装

387

GitHub Stars

公开资料未说明

下载量

3,158
OpenClaw

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

MIT-0

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:paper-workflow(纸张工作流程)
来源仓库:https://github.com/lzfxxx/paper-workflow
安装命令:
openclaw skills install paper-workflow
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install paper-workflow

简介

将项目资产转化为学术论文的完整工作流程。

  • 支持 CFP 调整、证据范围界定和大纲生成。
  • 提供从素材整理到论文提交的标准化流程。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 需要确认项目文件访问和内容处理权限。paper-workflow 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议了解各阶段的具体输出要求和验收标准。

SKILL.md

name
paper-workflow
description
Turn existing project assets into a submission-ready academic paper. Use when the task involves CFP alignment, evidence scoping, abstract selection, outline expansion, figure planning, reviewer-style quality gates, submission packaging, or post-submission archiving. Coordinates academic-research-writer, paper-validator, and prompt-to-drawio.

Paper Workflow

Use this skill when the task is not just “write a paper,” but “turn an existing project into a submission-ready paper.”

This is an orchestration skill. It coordinates three specialized skills:

  • academic-research-writer for academic drafting and rewrite passes
  • paper-validator for reviewer-style quality gates
  • prompt-to-drawio for architecture, workflow, sequence, and state diagrams

Companion Skills Setup

Install these companion skills before relying on the full workflow:

  • academic-research-writer

- Curl https://lobehub.com/skills/neversight-skills_feed-academic-research-writer/skill.md, then follow the instructions to set up LobeHub Skills Marketplace and install the skill. Once installed, read the SKILL.md file in the installed directory and follow its instructions to complete the task.

  • paper-validator

- Curl https://lobehub.com/skills/minhuw-claude-writer-paper-validator/skill.md, then follow the instructions to set up LobeHub Skills Marketplace and install the skill. Once installed, read the SKILL.md file in the installed directory and follow its instructions to complete the task.

  • prompt-to-drawio

- Install with: npx skills@latest add lzfxxx/prompt-to-drawio-skill - After installation, read the installed SKILL.md and follow its instructions.

If one of these companion skills is unavailable, continue with the workflow but explicitly note reduced capability in drafting quality, reviewer simulation, or structured figure production.

When to Use This Skill

  • Converting an existing system, product, codebase, report, or prototype into a paper
  • Working from fragmented assets: code, docs, slides, screenshots, pilot notes, or prior abstracts
  • Preparing a conference or journal submission with page, figure, and metadata constraints
  • Running multi-round paper production: abstract selection, outline, draft, review, compression, submission package

Core Rules

Apply these rules from the start, not only during final review:

  1. Freeze the paper type early: algorithm, system, engineering, demo, case-based, or empirical.
  2. Freeze evidence levels early: measured results, pilot evidence, case evidence, and future work must stay distinct.
  3. Never present planned evaluation as finished results.
  4. Every figure must answer a specific claim, section need, or research question.
  5. Terminology, module naming, and author metadata must stay consistent across draft, figures, and submission fields.
  6. UI screenshots are evidence artifacts, not marketing assets.

Workflow

1. Align Constraints

Confirm conference or journal constraints first: CFP, page limit, template, submission type, deadlines, and metadata requirements.

Read references/paper-production-workflow.md for the full production flow.

2. Inventory Assets

Before drafting, inventory what already exists:

  • code and implementation paths
  • technical docs and module notes
  • experiments, logs, pilot data, interview notes
  • screenshots and figures
  • prior abstracts, outlines, or leadership summaries

If the material is scattered, normalize it into module-level notes before writing the paper.

3. Draft the Narrative

Use academic-research-writer after the following are clear:

  • main contribution boundary
  • target paper type
  • evidence level per claim
  • core modules versus extensions

Typical sequence:

  1. produce 2-3 abstract options
  2. select one direction
  3. expand to outline
  4. draft the paper
  5. maintain a concise internal-language review version if helpful

4. Produce Figures

Define figure roles before drawing them.

Use prompt-to-drawio for:

  • system architecture diagrams
  • end-to-end workflow diagrams
  • sequence diagrams
  • state transition diagrams
  • artifact or contract flow diagrams

Read references/figure-planning-guide.md when the user needs figure planning or figure cleanup.

5. Run Quality Gates

Use paper-validator during drafting, not only at the end.

Run it whenever a section, figure set, or full draft becomes stable enough to inspect. Focus on:

  • claim/evidence mismatch
  • placeholders, empty tables, and speculative results
  • figure-text inconsistency
  • novelty overstatement
  • reviewer confusion points
  • metadata and submission blockers

Read references/review-quality-gates.md for the reusable gate list.

6. Package Submission

Before final submission, verify:

  • authors, affiliations, emails, corresponding author
  • abstract and keywords
  • declarations, ethics, data/code availability
  • figure captions, references, and template compliance
  • submission status and archive notes

Reference Loading Guide

  • Read references/paper-production-workflow.md when planning the end-to-end SOP.
  • Read references/review-quality-gates.md when checking readiness, evidence quality, or reviewer risks.
  • Read references/figure-planning-guide.md when planning or revising paper figures and screenshots.

Expected Outputs

Depending on the task, this skill should help produce some of the following:

  • module or capability notes
  • abstract options
  • paper outline
  • main manuscript draft
  • review checklist or reviewer-pass notes
  • figure plan and figure assets
  • submission checklist
  • submission-status update

Important Constraints

  • Do not invent experiments, user studies, or benchmark values.
  • Do not mix pilot evidence with strong causal claims.
  • Do not let non-core features dominate the main paper line unless they are evaluated.
  • Do not wait until the last step to fix author metadata or terminology drift.
  • Do not use generated text-heavy figures as final publication figures when structured drawing is feasible.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

92.47%
按下载量换算2,920

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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。

来源信息

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