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Article Extractor | Skills Pool

Skill ファイル

Article Extractor

Extracts and organizes MQL5 articles and documentation. Use when researching MQL5 features, MetaTrader API documentation, Python MT5 integration, or algorithmic trading resources.

tmaru-eng0 スター2026/01/22

職業
カテゴリ: 金融・投資

スキル内容

MQL5 Article Extractor

Extract technical trading articles from mql5.com for training data collection. Scope limited to mql5.com domain only.

Scope Boundaries

VALID requests:

"Extract this mql5.com article: https://www.mql5.com/en/articles/19625"
"Get all articles from MQL5 user 29210372"
"Download trading articles from mql5.com"
"Extract 5 MQL5 articles for testing"

OUT OF SCOPE:

"Extract from yahoo.com" - NOT SUPPORTED (mql5.com only)
"Scrape news from reuters" - NOT SUPPORTED (mql5.com only)
"Get stock data from Bloomberg" - NOT SUPPORTED (mql5.com only)

If user requests non-mql5.com extraction, respond: "This skill extracts articles from mql5.com ONLY. For other sites, use different tools."

Repository Location

関連 Skill

クイックインストール

Article Extractor

npx skills add tmaru-eng/strategy-bricks

Skill をダウンロードリポジトリを開く

作者: tmaru-eng
スター: 0
更新日: 2026/01/22
職業

このページの内容

01MQL5 Article Extractor

Working directory: $HOME/eon/mql5 (adjust path for your environment)

Always execute commands from this directory:

cd "$HOME/eon/mql5"

Valid Input Types

1. Article URL (Most Specific)

Format: https://www.mql5.com/en/articles/[ID] Example: https://www.mql5.com/en/articles/19625 Action: Extract single article

2. User ID (Numeric or Username)

Format: Numeric (e.g., 29210372) or username (e.g., jslopes) Source: From mql5.com profile URL Action: Auto-discover and extract all user's articles

3. URL List File

Format: Text file with one URL per line Action: Batch process multiple articles

4. Vague Request

If user says "extract mql5 articles" without specifics, prompt for:

Article URL OR User ID
Quantity limit (for testing)
Output location preference

Reference Documentation

For detailed information, see:

Extraction Modes - Single, batch, auto-discovery, official docs modes
Data Sources - User collections and official documentation
Troubleshooting - Common issues and solutions
Examples - Usage examples and patterns

02

Scope Boundaries

03Repository Location

04Valid Input Types

051. Article URL (Most Specific)

062. User ID (Numeric or Username)

073. URL List File

084. Vague Request

09Reference Documentation

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