ai-daily▌
geekjourneyx/mind-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Fetch AI industry news from smol.ai RSS feed.
AI Daily News
Fetch AI industry news from smol.ai RSS feed.
Quick Start
# Basic queries
昨天AI资讯
今天的AI新闻
2026-01-13的资讯
Query Types
| 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 |
Workflow
- [ ] Step 1: Parse date from user request
- [ ] Step 2: Fetch RSS data
- [ ] Step 3: Check content availability
- [ ] Step 4: Format and display results
Step 1: Parse Date
| 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
Step 2: Fetch RSS
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
Step 3: Check Content
When NOT Found
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
Step 4: Format Results
Example Output:
# AI Daily · 2026年1月13日
> not much happened today
## Content
[News content from smol.ai RSS...]
---
Source: smol.ai
Configuration
| Variable | Description | Default |
|---|---|---|
| RSS_URL | RSS feed URL | https://news.smol.ai/rss.xml |
No API keys required.
Troubleshooting
| Issue | Solution |
|---|---|
| RSS fetch fails | Check network connectivity |
| Invalid date | Use YYYY-MM-DD format |
| No content | Check available date range |
References
- Output Format - Markdown template
- HTML Themes - Webpage theme specifications
How to use ai-daily on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ai-daily
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ai-daily from GitHub repository geekjourneyx/mind-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ai-daily. Access the skill through slash commands (e.g., /ai-daily) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★33 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
Keeps context tight: ai-daily is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hiroshi Bhatia· Dec 16, 2024
ai-daily is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakshi Patil· Nov 19, 2024
ai-daily has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yusuf Jain· Nov 7, 2024
Solid pick for teams standardizing on skills: ai-daily is focused, and the summary matches what you get after install.
- ★★★★★Kiara Lopez· Oct 26, 2024
ai-daily has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Oct 10, 2024
Solid pick for teams standardizing on skills: ai-daily is focused, and the summary matches what you get after install.
- ★★★★★Yusuf Nasser· Sep 25, 2024
Registry listing for ai-daily matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Isabella Torres· Sep 17, 2024
ai-daily fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Piyush G· Sep 1, 2024
We added ai-daily from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Shikha Mishra· Aug 20, 2024
ai-daily fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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