Skip to content
Research
Skill

/paper-formal-writer

Plan, draft, audit, globally revise, format, and verify a formal mathematical-modeling paper after the Standard evidence gate passes. Use for the sole S7/S8 formal manuscript path, not for legacy micro-unit scaffolds.

BOOST
From plugin
mathmodel-skill
45610 skills
Install
$ npx -y skills add yushui2022/MathModel-Skill --skill paper-formal-writer --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/paper-formal-writer

Context preview

The summary Claude sees to decide when to auto-load this skill.

Plan, draft, audit, globally revise, format, and verify a formal mathematical-modeling paper after the Standard evidence gate passes. Use for the sole S7/S8 formal manuscript path, not for legacy micro-unit scaffolds.

SKILL.md

paper-formal-writer.SKILL.md
name: paper-formal-writer
description: Plan, draft, audit, globally revise, format, and verify a formal mathematical-modeling paper after the Standard evidence gate passes. Use for the sole S7/S8 formal manuscript path, not for legacy micro-unit scaffolds.

Paper Formal Writer

This skill is the sole formal author and final manuscript producer in Standard. It turns a fresh S6 evidence chain into an audited Markdown source and native-equation Word document.

Entry

Run before formal work:

python .claude/skills/paper-workflow-orchestrator/scripts/workflow_guard.py --skill paper-formal-writer

S0-S6 must pass. If workflow state is uncertain, run `workflow_guard.py --status` and follow its current artifact report rather than memory.

Single Formal Path

S6 evidence PASS
-> writing plan
-> chapter drafts
-> chapter audits
-> queued local repair when required
-> deterministic assembly
-> Agent global revision
-> final Markdown audit
-> formal DOCX
-> S8 format/render gate

Do not promote quickstart, legacy, or mechanically merged micro-unit output into a formal filename.

Prepare

1. Build the evidence-aware outline:

python .claude/skills/paper-formal-writer/scripts/build_paper_outline.py

2. Prepare adaptive authoring:

python .claude/skills/paper-formal-writer/scripts/prepare_authoring.py --mode auto

Default delivery is `competition`: plan at least 14000 effective characters, with a main-paper floor of 8000 and at least 18 rendered pages before appendices. These are adjustable project defaults, not contest rules. Verify the actual contest's page cap and counting rules before writing. `auto` therefore selects `section`; a short report needs `--delivery short-report --scope-reason "user-requested scope"`. Custom floors use `--min-pages` / `--min-body-chars` with a reason; never lower them merely to turn a failed check green.

Read [references/competition-scope.md](references/competition-scope.md) when preparing scope or repairing a short manuscript. Several authoring turns may produce one coherent chapter; preserve evidence and notation between turns instead of compressing the paper into one response.

The authoritative S7 contracts are:

  • `paper_output/plan/writing_plan.json`
  • `paper_output/context/authoring_state.json`
  • `paper_output/qa/draft_audit.json`
  • `paper_output/qa/repair_queue.json`

Draft And Audit

For numerical results, read [references/metric-claims.md](references/metric-claims.md). Formal preparation binds each required metric to its unit, sample/split, CSV row and successful experiment. Missing metadata blocks S7 instead of being guessed from prose. Maintain a sibling `.claims.json` for each draft and the final source; use an empty claims list for chapters without numbers. Only declared conversions are allowed. Never promote a feasible solution to an optimal one without recorded verification.

Write only to the path recorded for the current unit in `authoring_state.json`. Each chapter must be a complete, coherent section and must include its required removable marker:

<!-- mathmodel-evidence: evidence-id-1, evidence-id-2 -->

Audit every changed draft:

python .claude/skills/paper-formal-writer/scripts/validate_authoring.py --section <section-id>

Routing is deterministic:

  • `global` repeats the same blocking category twice: switch to `section`.
  • A section fails once: rewrite that section.
  • A section repeats the same category twice: `$paper-micro-unit-generator` may repair only queued locations.
  • The third changed attempt with the same category: S7 becomes `BLOCKED`; report the cause and suggest Lite as a user choice without switching automatically.

Audits block short drafts, missing chapters/evidence/numbers, broken formulas, placeholders, duplicate prose, broken figure/table references, and internal workflow language.

Assemble And Revise

After all active units pass:

python .claude/skills/paper-formal-writer/scripts/assemble_sections.py
python .claude/skills/paper-formal-writer/scripts/validate_authoring.py --assembled

The assembler follows outline order, strips evidence comments, merges claim sidecars, and preserves existing numbering. It writes `paper_output/drafts/assembled_draft.md`.

Then read the entire assembled draft and evidence chain, and rewrite the paper globally into:

paper_output/final_paper_source.md

This pass must unify terminology, notation, transitions, argument order, citations, captions, and conclusions. Copying the assembled draft unchanged is rejected. Update `final_paper_source.claims.json` with the revised quotes and exact source hash; do not copy stale bindings. Sidecars remain outside the rendered manuscript.

Run the final source audit:

python .claude/skills/paper-formal-writer/scripts/validate_authoring.py --final

Any change to evidence, writing plan, approved section draft, assembly, or final source invalidates downstream PASS state.

Word And S8

Only after `authoring_state.status = PASS`:

python .claude/skills/paper-formal-writer/scripts/format_formal_docx.py
python .claude/skills/paper-formal-writer/scripts/check_paper_format.py --render required

Formal mode requires fresh S6 and S7 hashes. `--allow-draft` may create `final_paper_draft.docx` for layout diagnosis, but never satisfies S7/S8 or overwrites the formal DOCX.

`format_formal_docx.py` converts LaTeX to editable Word OMML and blocks failed conversion. `check_paper_format.py` checks dynamic length, required hierarchy, citations, evidence-linked figures/tables, formulas, duplicate prose, DOCX structure, LibreOffice PDF rendering, page count, and extractable text.

Writing Standard

  • Use `1 / 1.1 / 1.1.1` headings and complete CUMCM sections.
  • For each question, connect assumptions, variables, derivation, algorithm, computed values, validation, uncertainty, and conclusion.
  • Define symbols before formulas and explain
Read more
Ships withmathmodel-skill

Agent-native mathematical modeling workflow skills for Trae, Claude Code, and Codex, covering problem parsing, modeling, code generation, evidence checks, paper writing, and Word delivery.

Get the whole plugin

Other skills on mathmodel-skill.

model-code-and-result-generator
Skill

model-code-and-result-…

根据 model_route.json、数据计划和清洗数据,为数学建模论文生成结果证据契约和 q1/q2/q3 建模代码脚手架。Invoke when 需要把模型输出、评价指标、结构化结论、论文表格和当前赛题专用建模代码沉淀到…