weather-risk-skill
Assess weather conditions and assign operational risk levels for flight planning.
DeepseekModel
Curated skill
Quality Good · 48
v1.0.0
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https://deepseekmodel.com/api/download.php?id=froot1-aeroops-ai-agents-skills-weather-risk-skill-skill-md&format=skill
Download .skill
Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name weather-risk-skill description Assess weather conditions and assign operational risk levels for flight planning. Weather Risk Skill This skill evaluates the meteorological data supplied for a flight (e.g., METAR, TAF, free‑text weather notes) and translates it into a risk classification (LOW, MEDIUM, HIGH) that can be used by the AeroOps AI workflow. Input Expected weather_text : Raw weather report string (METAR/TAF or free‑form description). Optional: scheduled_time (ISO‑8601) to consider time‑dependent phenomena (e.g., forecasts). Risk Assessment Rules Condition Risk Level HIGH • Visibility < 1000 m OR < 3 SM in IFR conditions • Wind shear, thunderstorms, severe turbulence, or lightning in the vicinity • Significant icing conditions (temperature ≤ 0 °C with visible moisture) • Runway surface contamination (snow/ice) with reduced braking performance MEDIUM • Moderate turbulence, light rain/sleet, visibility 1000‑3000 m • Winds > 30 kt or cross‑winds exceeding runway limits • Cloud ceiling 500‑1500 ft (IFR) but no severe weather LOW • VMC/clear weather, visibility > 5 km, light winds (< 15 kt) • No significant hazards reported Output Produced weather_risk_level : LOW , MEDIUM or HIGH . weather_summary : Human‑readable narrative explaining the assessment. Usage in Agent The AeroOps AI agent can call this skill to obtain weather_risk_level and embed the summary in the final briefing, or to trigger a Human‑in‑the‑Loop review when risk is HIGH. Implementation notes The skill should be pure logic; no external API calls. Accept both structured METAR strings and free‑form text using simple keyword detection. Return JSON‑compatible fields as shown in the output section.
Keywords that activate this skill. Click one to copy it.
This skill does not provide trigger words.
The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
The same skill can be exported in different platform formats.