SkillFoxx

Guangyao Yin's Codex Skills

Guangyao Yin's Codex skills: LOC-FLOW seismic catalogs, research slides, grant reviews, paper layout and reviewer replies

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  • Last commit
Skill

Minimal access

Why this level

  • The skills read and change documents, presentations and application PDFs in the working folder
  • Application review concerns others' material: use only what you are legitimately allowed to access
All reasons and checks

guangyaoyin/skillsAuthor:Guangyao Yin

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add skills/guangyao-yin-s-codex-skills

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Minimal accessThe tool runs nothing and makes no network calls.

  • The skills read and change documents, presentations and application PDFs in the working folder
  • Application review concerns others' material: use only what you are legitimately allowed to access

This is third-party code. Review the repository files before installing.

What it does

The GuangyaoYin/skills repository serves as the author's general index of Codex skills, organized after lovstudio/skills, and holds some skills in the skills/ folder while pointing to the rest as separate repositories. Descriptions are in Chinese. Inside the repository are data-locflow for the LOC-FLOW earthquake catalog workflow with input checks and magnitude and location error estimates, earthquake-mc for magnitude of completeness, improve-journal-acceptance, research-ppt for research presentations, academic-introduction-polisher and academic-discussion-polisher. External repositories hold nsfc-project-review, batch review of NSFC grant applications in PDF with Chinese opinions and comparison, paper2pdf for laying out a paper in a journal template as DOCX or PDF, review-response-docx for reviewer responses with tracked-change versions, skill-endnote-research for searching a local EndNote library and skillscreator. The built-in Codex installer does the work: python ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py with --repo and --path of the chosen skill, after which Codex is restarted. A machine-readable list sits in skills.yaml. research-ppt includes an interview in the grill-me manner.

Who it is for. Researchers and graduate students, especially in seismology and natural sciences, who prepare papers, reviewer responses and presentations and work with Codex.

Good fit when

  • You need to set up the LOC-FLOW earthquake catalog workflow for a new region
  • You need to prepare a group seminar presentation with literature search and an editable PPTX
  • You need a response to reviewers with a tracked-changes version and a clean version
  • You need to lay out a paper in a journal template as DOCX or PDF
  • You need to find relevant works in a local EndNote library from a research idea and copy the PDFs

Not a fit when

  • You need skills for Claude Code: the README's install steps target Codex
  • You want a seismology science backend: data-locflow describes the workflow, and the computation is connected separately
  • Chinese descriptions are inconvenient: the README and SKILL.md are mostly Chinese, with a README.en.md
  • You want one repository with every skill: some skills are kept in separate repositories

Example request

Use the research-ppt skill to prepare a group seminar presentation on my paper with background literature search

Limitations

  • The README describes installation for Codex through install-skill-from-github.py, and for other agents you copy skill folders by hand.
  • The data-locflow description says the scientific backend is connected separately.
  • Some skills live in separate repositories, whose addresses are in the README table.
  • The nsfc-project-review skill is meant for batch review of PDF applications, so use it only on material you are legitimately allowed to access.
  • The repository states no license.

How to disable. Delete the folders of installed skills from ~/.codex/skills/ and restart Codex.

FAQ

Which skills are inside the repository itself?

skills/ holds data-locflow, earthquake-mc, improve-journal-acceptance, research-ppt, academic-introduction-polisher and academic-discussion-polisher. The rest, such as paper2pdf and nsfc-project-review, live in separate repositories.

How do I install a skill in Codex?

Run python ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py --repo GuangyaoYin/skills --path skills/earthquake-mc with the path you want. Restart Codex after installing.

What does review-response-docx do?

From the reviewers' comments and the paper's text the skill writes a point-by-point response, an analysis of revisions, a cover letter, a red-marked revised version and a clean version.

Is there an English description?

Yes, README.en.md sits beside the main README. Skill names and SKILL.md descriptions are mostly Chinese.

What does data-locflow do?

The skill guides setting up and checking the LOC-FLOW earthquake catalog workflow: continuous waveforms, PhaseNet picking, REAL association, absolute and double-difference location, magnitudes and errors and reproducible figures. The scientific backend is connected separately.

Discussion

No questions or reviews yet.

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README in short

The README explains that this is the author's index of Codex skills modeled on lovstudio/skills, gives a common install command and a table of skills with purpose, repository and install path. Per-skill commands, the machine-readable skills.yaml list, maintenance rules and the repository structure follow.

README badge

Original SKILL.md

---
name: data-locflow
description: "为任意研究区建立、迁移或核验 LOC-FLOW 地震目录工作流，涵盖连续波形、PhaseNet拾取、REAL关联、绝对与双差定位、震级、定位误差和可复现图件。用于项目配置、输入/目录验收、后端适配与流程整理；一般地震知识问答或独立背景制图无需启用。"
---

# Data Loc-Flow

帮助用户将自己的连续波形、台站部署与响应、速度模型和项目配置转为可追溯地震目录及结果图。保持研究区无关：地区、日期、仪器、采样率、科学阈值、事件数量和震级经验系数均来自当前项目，不从历史案例或父目录补齐。

## 按任务加载

先读 [能力与实现边界](references/06_implementation_and_acceptance.md)，确定本次是设计、检查、实现适配器、科学运行还是绘图。只继续读取本次所需资料：

| 工作 | 阅读／使用 |
|---|---|
| 初始化、接入新区域、补全配置 | [数据契约](references/02_inputs_and_catalogue_contract.md)、[项目profile](references/07_project_profiles.md)、`assets/config/workflow.example.json` |
| 检测、关联、定位及后端迁移 | [检测与定位](references/01_detection_and_location.md) |
| 测幅、震级、校准、定位误差 | [震级与不确定性](references/03_magnitude_and_uncertainty.md) |
| 文件组织、缓存、恢复与发布 | [复现规范](references/04_folders_and_reproducibility.md) |
| 图件规划或绘制已有结果 | [图件规范](references/05_figure_specification.md)、`assets/config/figure_plan.json` |

`assets/schemas/`的CSV仅演示格式，不是任何实际区域的模型或台站。不要加载全部参考来处理一次窄修改；绘图任务只读取已验收结果，不因此重跑检测或定位。

## 处理项目

1. 明确本次输入、已有结果和要交付的内容。利用用户已提供的数据与配置，先检查可独立推进的部分；缺失信息集中列出，区分能从可靠元数据确定的值与真正需要用户提供的内容。
2. 定位至少需要波形、台站坐标／有效时段、适用速度模型和时间／坐标／深度基准。物理震级另需要逐通道时段的响应、增益、单位及适用的震级方法。只有输入包已可靠包含这些信息时，用户才可能只填写波形和模型路径。
3. 在用户项目的独立run目录创建配置和产物。按需从assets复制模板；不要向安装的skill目录写入项目状态或结果。脚本的相对输入路径基于配置文件目录，输出路径应明确指向项目run。
4. 科学参数无通用默认值时保留未设置，给出元数据推导或小样本试验方案；不要暗中复制采样率、深度范围、概率／CC门槛、Vp/Vs、震级系数或扰动次数。资源批大小与科学筛选阈值分开记录。
5. 运行本次所需的管理检查，保留报告与实际检查范围。科学阶段使用已安装并核验版本的后端；确认接口、模型、走时表、时基和身份映射后，再按任务授权推进。后端未接通时，具体说明缺少哪个接口，继续完成已授权的实现／整理工作，不伪造结果。

## 科学数据约束

- 主链为PhaseNet → REAL → VELEST → ph2dt/hypoDD_dtct → FDTCC → hypoDD_dtcc。可按用户任务替换后端，但需保持标准表、事件UID、绝对到时和各阶段来源；不要把每次重编号的整数ID直接跨阶段或跨月份连接。
- 固定模型、权重、可执行文件和参数版本。验证走时表节点与排列、读表声明和实际查询范围；hypoDD的NLAY、TOP和VEL长度严格一致。更换位置／原时不得改变原始绝对到时。
- 物理测幅支路与归一化拾取支路分开。响应路径存在不等于响应已验证；更换响应、幅值算子、单位、距离定义或标度时重新核验适用性。最终位置变化后核验缓存幅值并重算距离项与震级质量。
- 目录默认使用`magnitude`＋`magnitude_type`；ML、Ms、Mw等分开保留，不自动转换或混合统计。旧列名只能显式映射；缺震级／误差不得补0。
- 区分形式误差、观测扰动、事件对重采样、台站删减、模型敏感性与独立绝对约束。成功运行、残差下降、簇变紧或QC标签不能单独证明高精度。精度视图依据项目预先冻结的标准，误差只用于实际完成该试验的事件。
- 模板匹配是可选分支：新增事件须本地定位、去重并保留实际定位阶段与到时来源；不得继承模板位置或其他来源事件的误差。

## 可直接执行的管理工具

`scripts/locflow.py`仅需要Python 3.11+标准库；可选波形头检查需ObsPy。以下用`SKILL_ROOT`表示**本次实际加载的skill文件夹**，用`RUN`表示用户项目输出目录；不要假设skill安装在某个固定用户名路径。

```bash

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