By name: daily-news-inspiration description: Daily news inspiration question generator - browses latest social and tech news, extracts inspiration, and generates natural questions. Use when user asks for news-based questions, daily inspiration, or says keywords like "新闻灵感", "每日提问", "时事提问", "新闻提问", "news inspiration", "daily news question". allowed-tools: Read, Glob, Grep, Bash, WebSearch
Daily News Inspiration
Browse the latest social and tech news daily, extract inspiration, and generate a natural question to simulate real-user interaction.
When to Use This Skill
Use this skill for:
- Generating daily questions based on current news
- Testing disclaude's ability to respond to current events
- Discovering interesting discussion topics from news
Keywords that trigger this skill: "新闻灵感", "每日提问", "时事提问", "新闻提问", "news inspiration", "daily news question"
Core Principle
Natural divergence, not templated questions.
The question should feel like a real user saw the news and naturally wanted to discuss it. Do NOT use preset question templates.
Context Variables
When invoked, you receive:
- Chat ID: Feishu chat ID (from "Chat ID: xxx")
- Message ID: Message ID (from "Message ID: xxx")
- Sender Open ID: Sender's open ID (from "Sender Open ID: xxx")
Execution Process
Step 1: Browse Latest News
Use WebSearch to browse today's latest social and tech news. Focus on two categories:
- Social news (社会新闻): Major events, policy changes, cultural trends
- Tech news (科技新闻): Product launches, AI breakthroughs, industry trends
Search queries:
WebSearch("今日社会新闻热点 2026")
WebSearch("今日科技新闻 AI 2026")
Step 2: Select One News Item
From the search results, pick one news item that:
- Is genuinely interesting or thought-provoking
- Has potential for deeper discussion
- Is relevant to the user's context (tech-savvy, uses AI tools)
- Is NOT purely negative or sensational
Selection criteria:
- Prefers tech/AI-related news (higher relevance)
- Prefers news with nuance (not just "X happened")
- Avoids purely political or controversial topics
- Avoids news that requires specialized domain knowledge
Step 3: Generate Natural Question
Write a question in a real user's voice, as if they just saw this news and wanted to discuss it.
Question characteristics:
- Natural, conversational tone (not formal or journalistic)
- Shows genuine curiosity or interest
- Open-ended (invites discussion, not yes/no)
- Brief background context (1-2 sentences) so the question is self-contained
Question format:
{1-2 sentences of news background, casual tone}
{Natural follow-up question or curiosity}
Step 4: Send Question
Use the mcp__channel-mcp__send_text tool to send the question to the target chat:
mcp__channel-mcp__send_text({
text: "{generated question}",
chatId: "{chatId}"
})
Step 5: Observe and Evaluate (Internal)
After sending, mentally note (do NOT send to user):
- Did disclaude understand the news context?
- Was the response relevant and helpful?
- Any gaps or issues worth reporting?
If significant issues are found, create a GitHub issue for improvement.
Question Type Variety
Rotate between different question types across days:
| Type | Description | Example |
|---|---|---|
| Analysis | Asking for deeper analysis of a trend | "What's the real impact of X?" |
| Opinion | Asking for perspective on a development | "What do you think about X's approach?" |
| Factual | Asking about specific details | "How does X actually work?" |
| Creative | Asking for creative speculation | "What if X was applied to Y?" |
| Comparison | Asking to compare approaches | "X vs Y - which makes more sense?" |
Quality Guidelines
Good Questions:
- Based on real, current news
- Feels like a real person asking
- Open-ended with room for discussion
- Self-contained (includes enough context)
- Varied in type and topic
Avoid:
- Yes/no questions
- Questions that need specialized knowledge to answer
- Questions about purely negative/tragic events
- Template-like or repetitive questions
- Questions that feel like a test rather than genuine curiosity
- Multiple questions per day (quality over quantity)
Example
Search Results:
- "GPT-5 released with multi-modal reasoning"
- "China's new data privacy regulation"
- "Quantum computing breakthrough at Google"
Selected News:
GPT-5 with multi-modal reasoning (tech-relevant, interesting)
Generated Question:
刚看到 GPT-5 发布了，据说支持多模态推理，能同时理解图片和文字的复杂关系了。你觉得这种能力对日常开发工作会有实际影响吗？还是说更多是概念上的进步？
安装步骤
1. 收集参数
| Parameter | Required | Default | Description |
|---|---|---|---|
{controlChannelChatId} |
Yes | — | 目标群组 chatId（当前对话的 chatId） |
{cron} |
No | 0 9 * * * |
执行频率（默认每天上午 9:00） |
2. 实例化 Schedule
读取 skill 目录中的 schedule.template.md 模板，替换占位符后写入 workspace：
# 1. 读取模板内容（使用 Read 工具）
模板路径: skills/daily-news-inspiration/schedule.template.md
# 2. 替换所有占位符
| 占位符 | 替换为 |
|---|---|
{controlChannelChatId} |
实际的目标群组 chatId |
{cron} |
实际的 cron 表达式（默认 0 9 * * *） |
# 3. 使用 Write 工具写入目标文件
目标路径: schedules/daily-news-inspiration/SCHEDULE.md
3. 验证
读取生成的 schedules/daily-news-inspiration/SCHEDULE.md，确认：
- frontmatter 中无未替换的占位符
chatId为实际 chatIdenabled: true
Integration with Other Skills
- daily-soul-question: Uses chat history; this skill uses external news
- bbs-topic-initiator: Broader topic generation; this skill focuses on news-based questions
- self-experience: The observation step aligns with dogfooding goals
DO NOT
- Generate questions without actually browsing news first
- Send multiple questions in one day
- Use sensationalist or clickbait-style framing
- Ask about politically sensitive or controversial topics
- Include "I'm an AI" or "As a language model" framing in the question
- Generate the same type of question every day