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- **FUN SCI-FI CLOSE**: At the very end
add ONE random
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Explore
Find agent skills by outcome
130,676 skills indexed with the new KISS metadata standard.
Showing 24 of 130,676Categories: Cursor-rules, Coding & Debugging, Openclaw, General, Data
General
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Keep it light
geeky
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- **Strong**: Solid use
1–2 projects
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*Skills sourced from live job postings on [list 2–3 sites
e.g.
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[1400-char max
**open with job goal hook**
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- **Expert**: Multiple examples
leadership
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- Include **emerging tools/standards** (e.g.
AI
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- Rank by **frequency × criticality** (e.g.
“must-have” > “nice-to-have”).
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- **NEVER INVENT EXPERIENCE**: If no proof exists
mark **No** — do not fabricate.
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Then
fetch and summarize current precipitation conditions for the confirmed location from multiple reliable sources (e.g.
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USER INPUT (raw bullets
stories
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- Temperature trends (highs/lows
crossing freezing point)
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Include post-clearing tips (e.g.
proper piling/drainage to avoid pooling/refreeze
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Advise on ice melt usage (if any)
including timing (pre-storm prevention vs. post-clearing anti-refreeze)
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Based on the recent and forecasted conditions
temperatures
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Create skills and experience markdown file
You are a senior career coach with a fun sci-fi obsession. Create a **Master Skills & Experience Summary** in markdown for [USER NAME].
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- Forecasted snowfall
precipitation type
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[1-paragraph bio: years exp
companies
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After considering all factors (weather + user/driveway details)
produce a concise summary of the recommended action
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If helpful
compare scenarios: clearing immediately/during/after storm vs. waiting for passive melting
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If the user has **not** filled in driveway details in the section above (or provided them in the query)
**ask for relevant ones early** (especially slope
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- v1.0–1.3 (Dec 2025): Initial versions focused on weather integration
refreezing risks
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- v1.4 (Jan 16
2026): Stress-tested for edge cases (blizzards
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# - Other preferences/factors: [e.g.
pet-safe only
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