# Sport Geography Sci Writing

> 用于用户自己研究的体育地理/城市暴露实证 manuscript 起草、修改和期刊适配，尤其是已有 data/method/results 的 Title、Abstract、Introduction、Methods、Results、Discussion、Conclusion、figures 和结果叙事。主题可包括体育设施可达性、体育公园、绿地/绿色暴露、热暴露、空间公平和 SHAP。

- Skill: `lzy599775/sport-geography-sci-writing` (Agent Skill, multi-file: 8 files)
- Install (CLI): `npx get-skill add lzy599775/sport-geography-sci-writing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lzy599775/sport-geography-sci-writing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Lzy599775 (https://skillmd.com/u/lzy599775)
- Updated: 2026-11-14
- Page: https://skillmd.com/skills/lzy599775/sport-geography-sci-writing

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# Sport Geography SCI Writing

This skill turns the user's own sport geography or green/heat exposure empirical study into a journal-positioned SCI manuscript. It is based on a local writing playbook and a corpus scan of sport geography, green exposure, heat exposure, and equity papers.

It is not the primary owner for literature-review evidence structuring, PRISMA/systematic/scoping review, Evidence Trace, cross-paper argument mapping, or review synthesis contracts. When the immediate deliverable is external-literature evidence construction, hand off to `sport-geography-review-bibliometric`.

Use it for manuscripts about sports facilities, sports parks, urban parks, green exposure, heat exposure, accessibility, equity, spatial justice, and explainable machine learning in urban geography.

## Core Rule

Do not start from methods. Start from the manuscript contract:

`public problem -> spatial inequity -> measurement gap -> proposed framework -> decisive evidence -> mechanism -> planning implication -> boundary`

Every section must close one part of that chain. Every main claim must point to a figure, table, statistic, formula, or sensitivity check.

## Fast Workflow

1. **Position the paper**
   - Identify target journal family.
   - State the main contribution as one of: concept, metric, data, method, mechanism, scenario, or planning translation.
   - Read `references/journal-playbooks.md` for journal-specific rules.

2. **Build the argument**
   - Write a claim-evidence map before drafting.
   - For each claim, record: evidence, figure/table, interpretation, boundary.
   - Read `references/section-patterns.md` for Title, Abstract, Introduction, Study area, Data, Methods, Results, Discussion, and Conclusion patterns.

3. **Audit data and methods**
   - Confirm all variables have a role in Results.
   - Explain accessibility, exposure, equity, and use as separate concepts.
   - Read `references/data-methods-ml.md` for accessibility models, Gini/Theil, spatial models, machine learning, SHAP, and robustness.

4. **Design tables, formulas, and figures**
   - Decide what each table or figure proves before choosing its form.
   - Read `references/tables-figures-formulas.md` for table content, map composition, color, figure captions, and formula reporting.

5. **Draft and revise**
   - Keep Results descriptive but claim-led.
   - Make Discussion explain mechanisms, compare literature, translate to planning, and state boundaries.
   - Read `references/workflow-checklists.md` for pre-submission checks.

6. **Run prose style QC after scientific content stabilizes**
   - Read `../agent-auto-sci-scicomm/references/academic_prose_style_guard.md`.
   - Apply positive-first framing, then retain only necessary qualifications; inspect defensive-contrast clusters and semantic repetition.
   - Do not use style revision to upgrade association into effect, conditional estimates into universal claims, or uncertain findings into certainty.

For end-to-end projects, this skill enters after the topic, literature, data, analysis, and figure plan have stable outputs. If the user asks to start from zero, route first through `auto-sci-research/references/08_full_research_to_manuscript_pipeline.md`, then return here for the empirical manuscript.

## Journal Routing

| If the main contribution is... | Prefer journal playbook |
|---|---|
| Large-scale comparison, global/cross-city evidence, concept contribution | Nature Communications / npj Urban Sustainability |
| Sustainable city, heat, resilience, green-sport coupling, full method chain | Sustainable Cities and Society |
| Urban governance, public service equity, accessibility, mechanism, policy | Cities / Applied Geography / Habitat International |
| Green space quality, park design, landscape services, blue-green planning | Landscape and Urban Planning / Urban Forestry & Urban Greening |
| Exposure metric, health pathway, systematic review, environmental justice | Ecological Indicators / Environment International / Environmental Research / Social Science & Medicine |
| Local planning, national policy, implementation strategy | Chinese planning / sport journals |

## Default Manuscript Architecture

1. Title: object + spatial problem + contribution or lens.
2. Abstract: background pressure, gap, data/method, core findings, mechanism, implication.
3. Introduction: public problem, object value, method landscape, precise gap, objectives.
4. Study area: why this place is theoretically and practically suitable.
5. Data: source, year, scale, preprocessing, uncertainty, role in analysis.
6. Methods: framework, indicator definitions, formulas, models, validation.
7. Results: spatial pattern, group/equity pattern, mechanism, scenario or robustness.
8. Discussion: mechanism interpretation, literature dialogue, planning translation, limitations.
9. Conclusion: answer research questions, state contribution, avoid new results.

## Must Not Do

- Do not equate accessibility with actual use.
- Do not equate exposure with benefit.
- Do not equate equality with equity.
- Do not write "we used SHAP" as the contribution; explain what mechanism SHAP revealed and where it is stable.
- Do not list data without scale, year, preprocessing, and known bias.
- Do not include a variable in Data/Methods if it never appears in Results or robustness checks.
- Do not use different color scales for comparable maps unless the caption explicitly justifies it.
- Do not make journal-specific claims without reading the matching playbook.

## Reference Map

- `references/paper-corpus-lessons-20260526.md`: what was learned from the 56-PDF local corpus.
- `references/section-patterns.md`: section-by-section writing logic, templates, and sentence moves.
- `references/data-methods-ml.md`: accessibility, equity, spatial statistics, machine learning, SHAP, and robustness logic.
- `references/tables-figures-formulas.md`: table, formula, figure, caption, map, and color rules.
- `references/journal-playbooks.md`: journal-specific subskills and positioning rules.
- `references/workflow-checklists.md`: end-to-end workflow and pre-submission checks.

## Local Evidence Files

When the user asks "where did this come from" or wants deeper paper-level evidence, read:

- the user's local Sportpark writing playbook when available.
- the user's local Sportpark role/protocol notes when available.
- the user's local Sportpark figure-system memories when the task is specifically about paper figures.

Do not copy private paper full text from those folders into public outputs.