sports-news

machina-sports/sports-skills · updated Apr 8, 2026

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$npx skills add https://github.com/machina-sports/sports-skills --skill sports-news
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summary

Before writing queries, consult references/api-reference.md for command parameters and references/rss-feeds.md for curated feed URLs.

skill.md

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=True is always paired with a query parameter.
  • sort_by_date=True is 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

  1. fetch_items --google_news --query="<topic>" --limit=5 --sort_by_date=True
  2. Present headlines with source and date.

Topic Deep-Dive

  1. fetch_items --google_news --query="<topic>" --after=<7_days_ago> --sort_by_date=True --limit=10
  2. For curated sources, also try fetch_feed --url="<rss_url>".
  3. Cross-reference both for comprehensive coverage.

Weekly Sports Roundup

  1. For each sport of interest, fetch_items --google_news --query="<sport> results" --after=<7_days_ago> --limit=5.
  2. Aggregate and present by sport.

Examples

Example 1: Transfer news search User says: "What's the latest Arsenal transfer news?" Actions:

  1. Derive after from currentDate: today minus 3 days
  2. 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:

  1. 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:

  1. Derive after from currentDate: today minus 7 days
  2. 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

  • get_news — does not exist. Use fetch_feed (for RSS) or fetch_items (for Google News search).
  • search_news — does not exist. Use fetch_items with google_news=True and a query parameter.
  • get_headlines — does not exist. Use fetch_items with google_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

How to use sports-news on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/machina-sports/sports-skills --skill sports-news

The skills CLI fetches sports-news from GitHub repository machina-sports/sports-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/sports-news

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.

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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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.768 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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