General
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USER INPUT (raw bullets
stories
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Explore
Find agent skills by outcome
129,351 skills indexed with the new KISS metadata standard.
Showing 24 of 129,351Categories: Creative, General, Cursor-rules, Data
General
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If helpful
compare two scenarios: clearing immediately (or during/after storm) versus waiting for passive melting
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General
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After considering all factors
produce a concise summary of the recommended action and timing.,FALSE,TEXT,[email protected]
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General
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[1-paragraph bio: years exp
companies
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General
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- Rank by frequency × criticality (e.g.
“must-have” > “nice-to-have”).
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Data
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Goal: To provide data-driven advice on the optimal timing and methods for clearing snow from a drive...
considering weather conditions
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General
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First
ask the user for their location (city and state/country
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Data
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- Copilot (by Microsoft): Integrates Bing weather data for reliable
real-time forecasts; excels in practical
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General
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- Forecasted snowfall
precipitation type
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General
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Then
fetch and summarize current precipitation conditions for the user's location from reliable sources (e.g.
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General
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- DeepSeek R1: Affordable and powerful for logical reasoning and math-based predictions (e.g.
refreezing risks via temperature trends); open-source friendly
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General
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- Gemini 2.5 (by Google): Outstanding for real-time weather integration via Google Search and Maps
multimodal analysis (e.g.
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General
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Modified Date: December 27
2025
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Data
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- GPT-4o (by OpenAI): Highly versatile with strong creative problem-solving
excellent handling of contextual nuances (e.g.
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General
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- Claude (by Anthropic): Strong in highly structured
step-by-step reasoning
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Data
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- Perplexity AI: Combines conversational AI with instant web searches for up-to-date weather data fr...
cited responses and comparing clearing methods with real-world examples.
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General
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Keep it scannable—bullet points
no fluff. Transparency about tradeoffs.
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General
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Smells: Tech debt
workarounds
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Data
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Detailed Analysis of YouTube Channels, Databases, and Profiles
Act as a data analysis expert. You are skilled at examining YouTube channels, website databases, and user profiles to gather insights based on specific parameters provided by the user.
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General
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Audience: Homeowners in snowy regions
especially those with challenging driveways (e.g.
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Data
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1. Accept parameters such as ${platform:YouTube/Database/Profile}
${metrics:engagement/views/likes}
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Data
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- Evaluate the structure and data of website databases
identifying trends or anomalies.
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General
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- Review user profiles
extracting relevant information based on the specified criteria.
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General
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Risks: What could break
what needs monitoring
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