sports-news▌
machina-sports/sports-skills · updated Apr 8, 2026
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Before writing queries, consult references/api-reference.md for command parameters and references/rss-feeds.md for curated feed URLs.
Sports News
Before writing queries, consult references/api-reference.md for command parameters and references/rss-feeds.md for curated feed URLs.
Quick Start
Prefer the CLI — it avoids Python import path issues:
sports-skills news fetch_items --google_news --query="Arsenal transfer" --limit=5
sports-skills news fetch_feed --url="https://feeds.bbci.co.uk/sport/football/rss.xml"
Python SDK (alternative):
from sports_skills import news
articles = news.fetch_items(google_news=True, query="Arsenal transfer news", limit=10)
feed = news.fetch_feed(url="https://feeds.bbci.co.uk/sport/football/rss.xml")
CRITICAL: Before Any Query
CRITICAL: Before calling any news command, verify:
- Dates are derived from the system prompt's
currentDate— never hardcoded. google_news=Trueis always paired with aqueryparameter.sort_by_date=Trueis set for any "recent" or "latest" query.
Choosing Dates
Derive the current date from the system prompt's date (e.g., currentDate: 2026-02-16 means today is 2026-02-16).
- "this week":
after = today - 7 days - "recent" or "latest":
after = today - 3 days - Specific date range: use as-is
Commands
| Command | Required | Optional | Description |
|---|---|---|---|
fetch_feed |
url | Fetch an RSS/Atom feed by URL | |
fetch_items |
google_news, query, url, limit, after, before, sort_by_date | Fetch news from Google News or an RSS feed |
Workflows
Breaking News Check
fetch_items --google_news --query="<topic>" --limit=5 --sort_by_date=True- Present headlines with source and date.
Topic Deep-Dive
fetch_items --google_news --query="<topic>" --after=<7_days_ago> --sort_by_date=True --limit=10- For curated sources, also try
fetch_feed --url="<rss_url>". - Cross-reference both for comprehensive coverage.
Weekly Sports Roundup
- For each sport of interest,
fetch_items --google_news --query="<sport> results" --after=<7_days_ago> --limit=5. - Aggregate and present by sport.
Examples
Example 1: Transfer news search User says: "What's the latest Arsenal transfer news?" Actions:
- Derive
afterfromcurrentDate: today minus 3 days - Call
fetch_items(google_news=True, query="Arsenal transfer news", after=<derived_date>, sort_by_date=True, limit=10)Result: Recent Arsenal transfer headlines with source, date, and links
Example 2: Curated RSS feed User says: "Show me BBC Sport football headlines" Actions:
- Call
fetch_feed(url="https://feeds.bbci.co.uk/sport/football/rss.xml")Result: BBC Sport football feed title, last updated, and recent articles
Example 3: Date-filtered news User says: "Any Champions League news from this week?" Actions:
- Derive
afterfromcurrentDate: today minus 7 days - Call
fetch_items(google_news=True, query="Champions League", after=<derived_date>, sort_by_date=True, limit=10)Result: Champions League articles from the last 7 days, sorted newest first
Commands that DO NOT exist — never call these
— does not exist. Useget_newsfetch_feed(for RSS) orfetch_items(for Google News search).— does not exist. Usesearch_newsfetch_itemswithgoogle_news=Trueand aqueryparameter.— does not exist. Useget_headlinesfetch_itemswithgoogle_news=True.
If a command is not listed in the Commands table above, it does not exist.
Troubleshooting
Error: Google News returns empty results
Cause: query is missing or too narrow, or google_news=True is not set
Solution: Ensure google_news=True AND a query are both set. Try broader keywords (e.g., "Arsenal" instead of "Arsenal vs Chelsea goal")
Error: RSS feed returns an error
Cause: The feed URL may be temporarily down or the URL format has changed
Solution: Use Google News (fetch_items with google_news=True) as a fallback for the same topic
Error: Articles returned are old despite using "recent" query
Cause: sort_by_date=True is not set, or the after date filter is missing
Solution: Add sort_by_date=True and after=<today - 3 days> to ensure newest articles appear first
How to use sports-news 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 sports-news
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches sports-news from GitHub repository machina-sports/sports-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 sports-news. Access the skill through slash commands (e.g., /sports-news) 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▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★68 reviews- ★★★★★Sophia Verma· Dec 28, 2024
Keeps context tight: sports-news is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chaitanya Patil· Dec 24, 2024
sports-news has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kabir Patel· Dec 8, 2024
Solid pick for teams standardizing on skills: sports-news is focused, and the summary matches what you get after install.
- ★★★★★Sakura Rao· Dec 4, 2024
sports-news is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sophia Huang· Nov 27, 2024
sports-news has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kaira Desai· Nov 23, 2024
Keeps context tight: sports-news is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Omar Yang· Nov 19, 2024
sports-news is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Emma Chen· Nov 19, 2024
sports-news reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Piyush G· Nov 15, 2024
Solid pick for teams standardizing on skills: sports-news is focused, and the summary matches what you get after install.
- ★★★★★William Jain· Oct 18, 2024
Useful defaults in sports-news — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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