dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Extract content from specific URLs using Tavily's extraction API. Returns clean markdown/text from web pages. Use when you have specific URLs and need their content without writing code.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install evanydl/tavily-extractExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Extract clean content from specific URLs. Ideal when you know which pages you want content from.
The script uses OAuth via the Tavily MCP server. No manual setup required - on first run, it will:
~/.mcp-auth/
Note: You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. Sign up at tavily.com first if you don't have an account.
If you prefer using an API key, get one at https://tavily.com and add to ~/.claude/settings.json:
{
"env": {
"TAVILY_API_KEY": "tvly-your-api-key-here"
}
}
./scripts/extract.sh '<json>'
Examples:
# Single URL
./scripts/extract.sh '{"urls": ["https://example.com/article"]}'
# Multiple URLs
./scripts/extract.sh '{"urls": ["https://example.com/page1", "https://example.com/page2"]}'
# With query focus and chunks
./scripts/extract.sh '{"urls": ["https://example.com/docs"], "query": "authentication API", "chunks_per_source": 3}'
# Advanced extraction for JS pages
./scripts/extract.sh '{"urls": ["https://app.example.com"], "extract_depth": "advanced", "timeout": 60}'
curl --request POST \
--url https://api.tavily.com/extract \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"urls": ["https://example.com/article"]
}'
curl --request POST \
--url https://api.tavily.com/extract \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"urls": [
"https://example.com/ml-healthcare",
"https://example.com/ai-diagnostics"
],
"query": "AI diagnostic tools accuracy"...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Extract Skill
Extract clean content from specific URLs. Ideal when you know which pages you want content from.
## Authentication
The script uses OAuth via the Tavily MCP server. **No manual setup required** - on first run, it will:
1. Check for existing tokens in `~/.mcp-auth/`
2. If none found, automatically open your browser for OAuth authentication
> **Note:** You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. [Sign up at tavily.com](https://tavily.com) first if you don't have an account.
### Alternative: API Key
If you prefer using an API key, get one at https://tavily.com and add to `~/.claude/settings.json`:
```json
{
"env": {
"TAVILY_API_KEY": "tvly-your-api-key-here"
}
}
```
## Quick Start
### Using the Script
```bash
./scripts/extract.sh '<json>'
```
**Examples:**
```bash
# Single URL
./scripts/extract.sh '{"urls": ["https://example.com/article"]}'
# Multiple URLs
./scripts/extract.sh '{"urls": ["https://example.com/page1", "https://example.com/page2"]}'
# With query focus and chunks
./scripts/extract.sh '{"urls": ["https://example.com/docs"], "query": "authentication API", "chunks_per_source": 3}'
# Advanced extraction for JS pages
./scripts/extract.sh '{"urls": ["https://app.example.com"], "extract_depth": "advanced", "timeout": 60}'
```
### Basic Extraction
```bash
curl --request POST \
--url https://api.tavily.com/extract \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"urls": ["https://example.com/article"]
}'
```
### Multiple URLs with Query Focus
```bash
curl --request POST \
--url https://api.tavily.com/extract \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"urls": [
"https://example.com/ml-healthcare",
"https://example.com/ai-diagnostics"
],
"query": "AI diagnostic tools accuracy"...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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