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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -68,6 +68,7 @@ daily work -> repeatable workflow -> SKILL.md -> reusable agent capability

- [`daily-notes-vp`](knowledge-skills/daily-notes-vp/):把个人学习中的短期目标、疑问、代码记录、概念和踩坑经验轻量追加到 `E:\LLM_wiki\LLM_wiki\01.raw\02.DailyNotes`,10 天一个文件,按 Goal / Question / Code / Concept / Pitfall 组织。
- [`image-to-md-vp`](knowledge-skills/image-to-md-vp/):把多轮输入的截图或图片 OCR 成指定路径下的 Markdown 文件,保留标题层级、表格、公式、emoji 和原始结构。
- [`xquik-research-vp`](knowledge-skills/xquik-research-vp/):把 Xquik REST API 的 X/Twitter 数据整理成研究笔记、结构化摘要、对比表或仪表盘行。

### `job-skills/`

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5 changes: 5 additions & 0 deletions knowledge-skills/README.md
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Expand Up @@ -56,6 +56,7 @@ knowledge-skills/
├── zhihu-clippings-vp/ # 知乎文章定位、正文补全、公式图片表格保留与 Obsidian Markdown 剪藏
├── wechat-clippings-vp/ # 微信公众号文章定位、TikHub 正文抓取、页面噪声清理与 Markdown 剪藏
├── tech-article-rewriter-vp/ # URL/截图语料采集、技术文章深度重写、模板化 Markdown 草稿生成与迭代
├── xquik-research-vp/ # Xquik REST API 的 X/Twitter 数据研究、结构化摘要与表格整理
└── README.md # 知识类技能目录说明
```

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用于技术文章深度重写:从 URL、截图、OCR 或现成语料出发,先获取并缓存可信全文,再提取事实、观点、代码和坑点,重建文章逻辑,按 Markdown 模板生成专业标题、轻松正文、逻辑清晰且带参考资料的技术博客草稿

### [`xquik-research-vp/`](xquik-research-vp/)

用于 Xquik REST API 数据研究:围绕推文搜索、资料查询、时间线、趋势、社区或监控输出,规范化 ID、时间戳和捕获时间,把 X/Twitter 数据整理成研究笔记、结构化摘要、对比表或仪表盘行

## 适合沉淀的技能

- 自顶向下学习流程
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38 changes: 38 additions & 0 deletions knowledge-skills/xquik-research-vp/SKILL.md
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---
name: xquik-research-vp
description: Use when planning, collecting, normalizing, or summarizing Xquik REST API data for X/Twitter research, trend tracking, profiles, communities, timelines, or monitor outputs.
---

# xquik-research-vp

Use this skill when a user wants to turn Xquik REST API data into research notes, structured summaries, comparison tables, or dashboard-ready rows.

## Inputs

- Research goal, such as tweet search, profile lookup, timelines, trends, communities, or monitors.
- Xquik endpoint path or public OpenAPI reference.
- User-provided API response JSON, export files, or permission to fetch data with credentials already configured in the runtime.

## Workflow

1. Clarify the research goal and the exact X/Twitter entity or query.
2. Select the matching public Xquik endpoint or ask for the endpoint path.
3. Keep API keys in the runtime environment or approved credential store.
4. Fetch data only when credentials and user approval are already available, or parse user-provided JSON.
5. Normalize IDs as strings, preserve source timestamps, and record the capture time.
6. Group records by the question being answered: author, topic, trend, community, timeline position, or monitor event.
7. Summarize findings with clear evidence fields and mark any inferred labels as analysis.

## Output

- Endpoint path and capture time.
- Short findings summary.
- Structured rows or a Markdown table for the selected entities.
- Notes on missing fields, pagination limits, or assumptions.

## Guardrails

- Do not print, paste, or store API keys.
- Do not claim private pricing, capacity, or implementation details.
- Do not perform write actions unless the user explicitly requests a write workflow.
- Do not treat inferred labels or sentiment as facts.