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home / skills / alchaincyf / huashu-skills / huashu-info-search

huashu-info-search skill

/huashu-info-search

This skill performs multi-channel information search for new products or tech, validates sources, and saves findings to a knowledge base for quick access.

npx playbooks add skill alchaincyf/huashu-skills --skill huashu-info-search

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
2.3 KB
---
name: huashu-info-search
description: 多渠道搜索新产品新技术，交叉验证后存入知识库。当用户提到"最新信息"、"新产品"、"搜索资料"、"查资料"、"了解XX"时使用。
---

# 信息搜索与知识管理

涉及新产品/新技术时，自动执行多渠道搜索、验证信息、保存知识库。

## 何时使用

- 涉及新产品/新技术（3个月内发布）
- 需要最新信息验证
- 用户说"搜索一下"、"查最新信息"

## 核心功能

1. **多渠道搜索**：官方+媒体+社区
2. **信息源优先级**：权威媒体优先，忽略知乎/百度2025年前
3. **知识管理**：保存到 `_knowledge_base/`，标注来源和时间

## 搜索策略

### 搜索内容
- 产品/技术的官方信息（发布时间、特性、定价）
- 科技媒体报道（TechCrunch, The Verge, Medium等）
- 社区讨论（Reddit, Hacker News, X/Twitter）
- 竞品对比信息
- 相关概念解释

### 信息源优先级

**✅ 优先采信（半年内）**：
1. 权威科技媒体（TechCrunch, The Verge, MIT Tech Review）
2. 社区论坛（Reddit, Hacker News）
3. 官方文档和研究

**❌ 完全忽略**：
- 知乎、百度：2025年之前的信息全部忽略
- 过时内容：超过半年（6个月）
- 营销软文

### 关键词组合
- 主题 + 年份：`"AI detection 2025"`
- 主题 + best practice：`"AI text humanization best practices"`
- 主题 + Reddit：`"AI writing detection reddit 2025"`

## 知识管理

### 保存格式
文件命名：`[主题]-[时间].md`

```markdown
# [主题]相关信息

**信息收集时间**：2025-XX-XX
**下次更新建议**：2025-XX-XX

## 核心发现
- 发现1
- 发现2

## 数据和链接
- 官方文档：xxx
- 媒体报道：xxx

## 信息来源
1. [来源1](链接)
2. [来源2](链接)
```

### 保存位置
- 公众号写作：`/公众号写作/_knowledge_base/`
- 视频创作：`/视频创作/_knowledge_base/`

## 注意事项

- 所有信息必须标注来源和时间
- 不确定的信息向用户说明
- 信息冲突时，优先采信权威来源

**最后更新**: 2025-11-07

---

> **花叔出品** | AI Native Coder · 独立开发者
> 公众号「花叔」| 30万+粉丝 | AI工具与效率提升
> 代表作：小猫补光灯（AppStore付费榜Top1）·《一本书玩转DeepSeek》

Overview

This skill automates multi-channel searches for new products and technologies, cross-checks sources, and stores validated findings in a structured knowledge base. It focuses on freshness and authority, prioritizing recent coverage from reputable tech media, community discussions, and official documentation. The skill flags uncertainty and documents sources and timestamps for every entry.

How this skill works

When triggered by phrases like "latest information", "new product", or "search materials", the skill launches parallel queries across official sites, tech media, and developer/interest communities. It applies source-priority rules, filters out stale or low-quality content (including Zhihu/Baidu results before 2025), summarizes core findings, and writes a timestamped markdown file into the appropriate _knowledge_base folder. Conflicts are resolved by preferring authoritative sources and by annotating unresolved discrepancies.

When to use it

  • You need verified, up-to-date info on a product or technology released within the last 3–6 months.
  • The user asks for "search latest" or similar terms like "查资料" or "了解XX".
  • Preparing content for articles, videos, or research where citations and freshness matter.
  • Comparing competing products or validating new technical claims.
  • Populating a knowledge base with source-backed summaries for a content pipeline.

Best practices

  • Trigger the skill explicitly when you need recent coverage (ideally within 6 months).
  • Provide the product/technology name plus context keywords (year, platform, competitor) for precise queries.
  • Expect source annotations and a suggested next-update date in each saved entry.
  • Treat outputs as research summaries—not final legal or purchase advice; verify critical details from the official source link.
  • Use the folder conventions (/公众号写作/_knowledge_base/ or /视频创作/_knowledge_base/) to keep content discoverable.

Example use cases

  • Researching a newly announced gadget to create a product review script with verified specs and pricing.
  • Collecting and cross-checking reports on a novel AI model before producing a newsletter analysis.
  • Gathering community feedback and media reaction on a startup’s launch for a competitor analysis.
  • Populating a video project’s knowledge base with links and a one-page summary for writers and editors.

FAQ

Which sources are prioritized?

Priority goes to authoritative tech media (TechCrunch, The Verge, MIT Technology Review), community forums (Reddit, Hacker News), and official docs or research, all within the recent timeframe.

How does the skill handle conflicting information?

It favors authoritative sources and annotates conflicts. If uncertainty remains, the entry explicitly notes the unresolved points and links to the original sources.

What content is ignored?

Zhihu and Baidu results dated before 2025, marketing/soft advertorials, and materials older than six months are excluded by default.

How are findings saved?

Each summary is saved as a markdown file named [topic]-[date].md in the relevant _knowledge_base folder, with a collection timestamp, suggested update date, core findings, links, and a numbered source list.