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Education #automation #writing

paper-writing-workflow

Modular 8-stage academic paper writing workflow — from planning to submission. Combines nature-skills + ARS + Omniscale best capabilities. Supports single-stage invocation or full pipeline automation. Trigger when user asks about paper writing workflow, 论文写作流程, academic writing pipeline, or wants to start/continue a structured paper project.

DeepseekModel Curated skill Quality Good · 64 v1.0.0

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name paper-writing-workflow description Modular 8-stage academic paper writing workflow — from planning to submission. Combines nature-skills + ARS + Omniscale best capabilities. Supports single-stage invocation or full pipeline automation. Trigger when user asks about paper writing workflow, 论文写作流程, academic writing pipeline, or wants to start/continue a structured paper project. version 1.0.0 author xyy license MIT tags ["academic","writing","workflow","paper","research"] Paper Writing Full-Pipeline Workflow Overview This skill provides a modular 8-stage academic paper writing workflow that combines the best capabilities of installed Claude Code skills: nature-skills : polishing, writing, citation, figures, reviewer, response, reader ARS (Academic Research Skills) : deep-research, academic-paper, reviewer, pipeline Omniscale : critique, summarize-paper, research-map When to Use Trigger this skill when the user: Asks about paper writing workflow / 论文写作流程 Wants to start a structured paper project Needs guidance on which skill to use at which stage Wants to run a specific stage (e.g., "润色我的论文", "审稿自查") Asks "如何写论文" / "写论文的流程" 8-Stage Workflow Stage Name Key Skills 1 Planning & Research Map /ars-plan , research-map 2 Literature Survey nature-academic-search, ARS deep-research, summarize-paper 3 Writing First Draft nature-writing, /ars-outline , nature-polishing 4 Citations & Data nature-citation, /ars-citation-check , nature-data 5 Figures & Charts nature-figure (Python/R) 6 Review & Self-Check nature-reviewer, /ars-reviewer , critique 7 Revision & Response /ars-revision , nature-polishing, nature-response 8 Submission Output /ars-format-convert , /ars-disclosure , nature-paper2ppt Usage Quick Start The workflow script is at paper-workflow.js . Invoke via: Workflow({scriptPath: "path/to/paper-workflow.js", args: {stage: 3}}) Set stage to 1-8 for a single stage, or "all" for the full pipeline. Manual Stage Execution Each stage can also be run manually using the slash commands and Skill calls documented in paper-writing-workflow-guide.md . Recommended Order for Existing Drafts If you already have a draft: Stage 3 (polishing) → fix language issues Stage 5 (figures) → optimize charts Stage 4 (citations) → verify and supplement references Stage 6 (review) → pre-submission self-check Stage 7 (revision) → address findings Stage 8 (output) → format and package Design Principles Human-in-the-loop : Every stage has a checkpoint before proceeding Skill complementarity : ARS excels at pipeline automation; nature-skills excel at language/figures/citations Flexible invocation : Run any stage independently or the full pipeline Degradation strategy : If a required skill is missing, manual alternatives are provided Files paper-workflow.js — Executable workflow script paper-writing-workflow-guide.md — Complete user manual with slash commands and checklists paper-writing-skill-workflow.png — Visual flowchart (300 DPI) paper-writing-skill-workflow.svg — Editable vector version paper-writing-skill-workflow.pdf — PDF version for embedding
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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