Fetch AI industry news from smol.ai RSS feed.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionai-dailyExecute the skills CLI command in your project's root directory to begin installation:
Fetches ai-daily from geekjourneyx/mind-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ai-daily. Access via /ai-daily in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Fetch AI industry news from smol.ai RSS feed.
# Basic queries
昨天AI资讯
今天的AI新闻
2026-01-13的资讯
| Type | Examples | Description |
|---|---|---|
| Relative date | 昨天AI资讯 今天的新闻 前天 |
Yesterday, today, day before |
| Absolute date | 2026-01-13的新闻 |
YYYY-MM-DD format |
| Date range | 有哪些日期的新闻 |
Show available dates |
- [ ] Step 1: Parse date from user request
- [ ] Step 2: Fetch RSS data
- [ ] Step 3: Check content availability
- [ ] Step 4: Format and display results
| User Input | Target Date | Calculation |
|---|---|---|
昨天 |
Yesterday | today - 1 day |
前天 |
Day before | today - 2 days |
今天 |
Today | Current date |
2026-01-13 |
2026-01-13 | Direct parse |
Format: Always use YYYY-MM-DD
python skills/ai-daily/scripts/fetch_news.py --date YYYY-MM-DD
Available commands:
# Get specific date
python skills/ai-daily/scripts/fetch_news.py --date 2026-01-13
# Get date range
python skills/ai-daily/scripts/fetch_news.py --date-range
# Relative dates
python skills/ai-daily/scripts/fetch_news.py --relative yesterday
Requirements: pip install feedparser requests
Sorry, no news available for 2026-01-14
Available date range: 2026-01-10 ~ 2026-01-13
Suggestions:
- View 2026-01-13 news
- View 2026-01-12 news
Example Output:
# AI Daily · 2026年1月13日
> not much happened today
## Content
[News content from smol.ai RSS...]
---
Source: smol.ai
| Variable | Description | Default |
|---|---|---|
| RSS_URL | RSS feed URL | https://news.smol.ai/rss.xml |
No API keys required.
| Issue | Solution |
|---|---|
| RSS fetch fails | Check network connectivity |
| Invalid date | Use YYYY-MM-DD format |
| No content | Check available date range |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Keeps context tight: ai-daily is the kind of skill you can hand to a new teammate without a long onboarding doc.
ai-daily is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ai-daily has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: ai-daily is focused, and the summary matches what you get after install.
ai-daily has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: ai-daily is focused, and the summary matches what you get after install.
Registry listing for ai-daily matched our evaluation — installs cleanly and behaves as described in the markdown.
ai-daily fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added ai-daily from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
ai-daily fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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