# Paper Section Writer

> Draft submission-ready mathematical-modeling paper sections from the approved solution package, frozen numbers, human decision ledger, and verified figures without searching scattered exploratory outputs or inventing interpretation.

- Skill: `zhnnky329/paper-section-writer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add zhnnky329/paper-section-writer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zhnnky329/paper-section-writer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: zhnnky329 (https://skillmd.com/u/zhnnky329)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/zhnnky329/paper-section-writer

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# Preconditions

- `rigor_profile` is `submission`.
- Final method explanation exists.
- Final result analysis exists.
- Solution package and current frozen numbers exist.
- Required human claim-scope and physical/domain-meaning decisions are recorded.

If any prerequisite is missing, return to its producer rather than drafting around the gap.

# Primary Sources

Use, in order:

1. `qx_solution_package_for_writer.md`
2. `frozen_numbers.json`
3. `qx_decisions.jsonl`
4. verified paper figures/tables
5. final method explanation and robustness report for clarification

Do not hunt through raw experiment folders to invent a narrative.

# Workflow

1. Resolve the requested section and contest format.
2. Build a claim map:
   - claim ID;
   - frozen value/source;
   - robustness support;
   - human decision ID;
   - figure/table reference;
   - limitation.
3. Draft the method description to match the final explanation and code.
4. Draft results with:
   - value and comparison;
   - human-confirmed physical/domain meaning;
   - uncertainty or robustness;
   - limitation and applicable scope.
5. Mention the baseline and eliminated alternatives only when they explain a real decision.
6. Use only Type 2–4 figures as appropriate; never place Type 1 diagnostics in the paper.
7. Save `paper/sections/qx.tex` or the requested Markdown section.

# Human-Owned Content

The AI must not originate:

- why the method was chosen;
- what the headline number means physically;
- confidence and claim scope;
- contribution framing.

Transcribe these from the decision ledger with provenance. If absent, invoke a compact choice card and stop the final draft until answered; do not fill the paper with repeated sentinels.

# Rules

- Every numerical claim must match `frozen_numbers.json`.
- Do not overclaim against untested methods or populations.
- Do not fabricate citations or causal meaning.
- Avoid procedural diary prose and ceremonial detail.
- Keep formulas, symbols, units, captions, and filenames consistent.
- Do not create a new decision artifact.

# Verification

- Three writer prerequisites pass.
- Claim map resolves all numbers and judgments.
- Method, results, and figures match canonical artifacts.
- Physical meaning and contribution are human-owned.
- Limitations and uncertainty are visible.
- No Type 1 figure appears.