Current weather and multi-day forecasts for any global location, no API key required.
Works with
Supports current conditions, 3-day forecasts, and week-long projections via wttr.in with customizable output formats
Includes one-liner summaries, detailed condition reports, JSON output, and PNG weather charts
Covers standard weather data: temperature, \"feels like,\" wind, humidity, precipitation, and condition emojis
Works with city names, regions, and airport codes; rate-limited but requires
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionweatherExecute the skills CLI command in your project's root directory to begin installation:
Fetches weather from steipete/clawdis 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 weather. Access via /weather 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
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Get current weather conditions and forecasts.
✅ USE this skill when:
❌ DON'T use this skill when:
Always include a city, region, or airport code in weather queries.
# One-line summary
curl "wttr.in/London?format=3"
# Detailed current conditions
curl "wttr.in/London?0"
# Specific city
curl "wttr.in/New+York?format=3"
# 3-day forecast
curl "wttr.in/London"
# Week forecast
curl "wttr.in/London?format=v2"
# Specific day (0=today, 1=tomorrow, 2=day after)
curl "wttr.in/London?1"
# One-liner
curl "wttr.in/London?format=%l:+%c+%t+%w"
# JSON output
curl "wttr.in/London?format=j1"
# PNG image
curl "wttr.in/London.png"
%c — Weather condition emoji%t — Temperature%f — "Feels like"%w — Wind%h — Humidity%p — Precipitation%l — Location"What's the weather?"
curl -s "wttr.in/London?format=%l:+%c+%t+(feels+like+%f),+%w+wind,+%h+humidity"
"Will it rain?"
curl -s "wttr.in/London?format=%l:+%c+%p"
"Weekend forecast"
curl "wttr.in/London?format=v2"
curl wttr.in/ORDMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added weather from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
weather fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
weather reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for weather matched our evaluation — installs cleanly and behaves as described in the markdown.
weather has been reliable in day-to-day use. Documentation quality is above average for community skills.
weather fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
weather reduced setup friction for our internal harness; good balance of opinion and flexibility.
weather reduced setup friction for our internal harness; good balance of opinion and flexibility.
weather is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: weather is the kind of skill you can hand to a new teammate without a long onboarding doc.
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