生活与工具
#writing
paper-workflow-orchestrator
Run or resume the complete Standard mathematical-modeling workflow from contest files through reproducible evidence, adaptive formal writing, native-equation Word output, and final render QA. Use as the entry point for complete-paper requests.
DeepseekModel
官方收录技能
质量 优秀 · 78
v1.0.0
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https://deepseekmodel.com/api/download.php?id=yushui2022-mathmodel-skill-packages-claude-claude-skills-paper-workflow-orchestrator-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name paper-workflow-orchestrator description Run or resume the complete Standard mathematical-modeling workflow from contest files through reproducible evidence, adaptive formal writing, native-equation Word output, and final render QA. Use as the entry point for complete-paper requests. MathModel Standard Orchestrator Use this skill as the only entry router for a complete competition-paper task. Standard targets strong models that can maintain a long evidence chain and execute tools reliably while keeping cost controlled. It does not use Pro multi-agent tournaments or approval checkpoints. Start Or Resume From the contest project root, run: python .claude/skills/paper-workflow-orchestrator/scripts/preflight_check.py python .claude/skills/paper-workflow-orchestrator/scripts/workflow_guard.py --status Read paper_output/qa/workflow_guard_report.json and follow recommended_skill plus next_action . The current files and hashes override conversational memory. Do not run downstream skills before their guard requirement passes. After a child skill finishes, return here and evaluate status again. S0-S8 S0 Input Admission preflight_check.py inventories problem_files/ , hashes every input, checks runtime dependencies, prepares paper_output/ , and rejects mixed MathModel editions. Required outputs: paper_output/preflight_report.json paper_output/input_manifest.json paper_output/OUTPUT_LAYOUT.md S1 Problem Analysis Use $problem-doc-model-selector to create paper_output/step1/problem_analysis.json . Every question, attachment, field, objective, constraint, ambiguity, and required output must be traceable. S2 Model And Rubric Route Use $modeling-paper-rubric-and-model-selector . Produce: paper_output/plan/model_route.json paper_output/plan/rubric_alignment.json paper_output/plan/scoring_strategy.md Use $authoritative-data-harvester only when public external data is necessary. Keep source identity and retrieval notes. S3 Data And Visualization Plan Use $data-cleaning-and-visualization . Read only files classified in the input manifest and produce a fresh load report, data plan, visualization plan, figure index, and cleaned data. Contest-specific code belongs under paper_output/code/ , never inside installed skills. S4 Reproducible Model Code Use $model-code-and-result-generator to write question-specific code under paper_output/code/modeling/ , including run_modeling.py and per-question modules. Code must emit machine-readable result contracts. S5 Real Execution Run the modeling code. Preserve script, input, output, exit-code, size, and SHA-256 records in paper_output/results/run_manifest.json . Required evidence includes model results, finite metrics, conclusions, tables, and usable figures. Draft placeholders do not count. S6 Evidence Gate Use $quality-assurance-auditor and run official evidence validation: python .claude/skills/quality-assurance-auditor/scripts/evidence_gate.py --mode official Do not enter formal writing until paper_output/qa/evidence_gate_report.json is PASS and all recorded inputs are still fresh. S7 Adaptive Formal Writing Use $paper-formal-writer as the sole formal author: python .claude/skills/paper-formal-writer/scripts/build_paper_outline.py python .claude/skills/paper-formal-writer/scripts/prepare_authoring.py --mode auto Normal competition papers use complete-section drafting, possibly over several turns. Preserve the formal writer's declared competition scope; a short report needs an explicit user-requested scope and reason. Audit every draft with validate_authoring.py --section ; global repeated failure falls back to section mode. A section’s second repeated category creates a micro-repair route; only then may $paper-micro-unit-generator repair the queued location. The third repeated category blocks S7 and suggests Lite without switching automatically. After every active unit passes: python .claude/skills/paper-formal-writer/scripts/assemble_sections.py python .claude/skills/paper-formal-writer/scripts/validate_authoring.py --assembled The Agent must then globally revise the full assembly into paper_output/final_paper_source.md ; a copy-only promotion is rejected. Finish with: python .claude/skills/paper-formal-writer/scripts/validate_authoring.py --final python .claude/skills/paper-formal-writer/scripts/format_formal_docx.py S8 Format And Render Gate Run: python .claude/skills/paper-formal-writer/scripts/check_paper_format.py --render required Delivery requires a fresh PASS in paper_output/format_check_report.json . Fix the reported source, formula, citation, figure/table, DOCX, pagination, or PDF issue and rerun; never edit the report to force PASS. Formal Outputs paper_output/plan/writing_plan.json paper_output/context/authoring_state.json paper_output/qa/draft_audit.json paper_output/qa/repair_queue.json paper_output/drafts/sections/*.md paper_output/drafts/assembled_draft.md paper_output/final_paper_source.md paper_output/final_paper.docx paper_output/format_check_report.json Legacy micro-unit and quickstart outputs remain under paper_output/drafts/legacy/ and paper_output/quickstart/ . They can never satisfy S7. Non-Negotiable Invariants Never invent model results, data sources, successful runs, citations, or validation. Every critical numeric claim must trace to current machine-readable evidence. Any upstream hash change invalidates dependent S6-S8 reports. Each included figure/table must exist, be indexed, cited, and interpreted. Formal formulas must become editable Word OMML; no screenshot or plain-text substitution. Do not expose skill names, guard commands, or workflow prose in the paper body. Do not write contest-specific code into installed skill directories. Install one MathModel edition per contest project. Recovery For an interrupted or long task: python .claude/skills/paper-workflow-orchestrator/scripts/workflow_guard.py --status python .claude/skills/context-memory-keeper/scripts/update_workflow_memory.py Read the guard report, current stage contracts, and paper_output/context/workflow_memory.json ; continue from the first failing stage instead of replaying completed work.
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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |