turkiye-afad-deprem
Turkiye AFAD deprem verisini kullanarak zaman, buyukluk ve bolge filtreli deprem ozeti uretir.
Best use case
turkiye-afad-deprem is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Turkiye AFAD deprem verisini kullanarak zaman, buyukluk ve bolge filtreli deprem ozeti uretir.
Teams using turkiye-afad-deprem should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/turkiye-afad-deprem/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How turkiye-afad-deprem Compares
| Feature / Agent | turkiye-afad-deprem | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Turkiye AFAD deprem verisini kullanarak zaman, buyukluk ve bolge filtreli deprem ozeti uretir.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
SKILL.md Source
# Turkiye AFAD Deprem Skill ## Ne Zaman Cagrilir Bu skill, kullanici AFAD tabanli guncel deprem bilgisi istediginde cagrilir. Net trigger cumleleri: - "AFAD son depremleri goster" - "Son 24 saatte deprem var mi?" - "Son 7 gun M4+ depremleri listele" - "Izmir civarindaki depremleri getir" - "Bugun olan depremleri ozetle" - "4 ve ustu depremleri goster" ## Kullanici Girdisini Yorumlama ### Zaman Araligi - "son 1 saat" => simdiden geriye 1 saat - "bugun" => yerel saate gore bugunun 00:00-23:59 araligi - "son 24 saat" => simdiden geriye 24 saat - "son 7 gun" => simdiden geriye 7 gun - belirtilmezse varsayilan: son 24 saat ### Minimum Buyukluk - "M4+", "4+", "4 ve ustu" => `min_magnitude = 4.0` - "M5.2+" => `min_magnitude = 5.2` - belirtilmezse tum buyuklukler dahil edilir ### Bolge / Sehir - Metin filtreleme: kullanici bolge/sehir ifadesi (`"Izmir civari"`, `"Marmara"`, `"Van"`) yer bilgisinde aranir. - Opsiyonel yakin eslesme: birebir eslesme yoksa yazim farklari icin yakin eslesme uygulanabilir. - Birden fazla bolge verilirse herhangi birine uyan kayitlar dahil edilir. ## Cikti Formati Yaniti su sirada uret: 1. Tek satir ozet: `<N> deprem bulundu.` 2. En buyuk deprem: `En buyuk: <tarih-saat> | M<buyukluk> | <yer>` 3. Son 5 deprem tablo gibi: | Tarih-Saat | Buyukluk | Yer | |---|---:|---| | ... | ... | ... | 4. Kaynak linki: `Kaynak: <AFAD veri linki>` ## Hata Mesajlari ve Fallback - Veri kaynagi yanit vermedi: `AFAD veri kaynagina su anda erisilemiyor. Lutfen kisa bir sure sonra tekrar deneyin.` - Bos sonuc: `Secilen filtrelerle deprem kaydi bulunamadi. Zaman araligini genisletmeyi veya min buyuklugu dusurmeyi deneyin.` ## Guvenlik - Bu skill komut calistirmaz. - Yalnizca public AFAD deprem verisini okur ve filtreler. - Kullanici tarafinda sistem degisikligi, dosya yazma veya harici komut tetikleme yapmaz.
Related Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成（播客、视频、幻灯片、测验、思维导图等）、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述