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PythonReactSEOPDF
OpenClaw

Expanso Keyword Extract

keyword extract

aronchick0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install aronchick/expanso-keyword-extract

Examinez 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.

Voir la source ↗Guides

Instructions

keyword-extract

"Extract keywords and key phrases from text for SEO, tagging, and indexing"

Requirements

  • Expanso Edge installed (expanso-edge binary in PATH)
  • Install via: clawhub install expanso-edge

Usage

CLI Pipeline
# Run standalone
echo '<input>' | expanso-edge run pipeline-cli.yaml
MCP Pipeline
# Start as MCP server
expanso-edge run pipeline-mcp.yaml
Deploy to Expanso Cloud
expanso-cli job deploy https://skills.expanso.io/keyword-extract/pipeline-cli.yaml

Files

File Purpose
skill.yaml Skill metadata (inputs, outputs, credentials)
pipeline-cli.yaml Standalone CLI pipeline
pipeline-mcp.yaml MCP server pipeline

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/aronchick/expanso-keyword-extract
Version
—
Commit
21dd476bb8dc53b792526844a7319b34b4c95051
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

keyword-extract

Extract keywords and key phrases from text.

Overview

This skill extracts important keywords, multi-word phrases, and main topics from text. Useful for SEO, content tagging, and search indexing.

Usage

CLI Mode
export OPENAI_API_KEY=sk-...

cat article.txt | expanso-edge run pipeline-cli.yaml
MAX_KEYWORDS=5 echo "Your text here..." | expanso-edge run pipeline-cli.yaml
MCP Mode
PORT=8080 expanso-edge run pipeline-mcp.yaml &
curl -X POST http://localhost:8080/extract \
  -H "Content-Type: application/json" \
  -d '{"text": "Machine learning is transforming...", "max_keywords": 10}'

Output

{
  "keywords": [
    {"word": "machine", "relevance": 0.95},
    {"word": "learning", "relevance": 0.92},
    {"word": "AI", "relevance": 0.88}
  ],
  "phrases": [
    "machine learning",
    "artificial intelligence",
    "neural networks"
  ],
  "topics": [
    "Technology",
    "Artificial Intelligence"
  ],
  "keyword_count": 3,
  "metadata": {...}
}

Use Cases

  • SEO keyword research
  • Content tagging
  • Document indexing
  • Topic modeling
  • Article summarization

Contenu extrait

SKILL.md
# keyword-extract

"Extract keywords and key phrases from text for SEO, tagging, and indexing"

## Requirements

- Expanso Edge installed (`expanso-edge` binary in PATH)
- Install via: `clawhub install expanso-edge`

## Usage

### CLI Pipeline
```bash
# Run standalone
echo '<input>' | expanso-edge run pipeline-cli.yaml
```

### MCP Pipeline
```bash
# Start as MCP server
expanso-edge run pipeline-mcp.yaml
```

### Deploy to Expanso Cloud
```bash
expanso-cli job deploy https://skills.expanso.io/keyword-extract/pipeline-cli.yaml
```

## Files

| File | Purpose |
|------|---------|
| `skill.yaml` | Skill metadata (inputs, outputs, credentials) |
| `pipeline-cli.yaml` | Standalone CLI pipeline |
| `pipeline-mcp.yaml` | MCP server pipeline |
README
# keyword-extract

Extract keywords and key phrases from text.

## Overview

This skill extracts important keywords, multi-word phrases, and main topics from text. Useful for SEO, content tagging, and search indexing.

## Usage

### CLI Mode

```bash
export OPENAI_API_KEY=sk-...

cat article.txt | expanso-edge run pipeline-cli.yaml
MAX_KEYWORDS=5 echo "Your text here..." | expanso-edge run pipeline-cli.yaml
```

### MCP Mode

```bash
PORT=8080 expanso-edge run pipeline-mcp.yaml &
curl -X POST http://localhost:8080/extract \
  -H "Content-Type: application/json" \
  -d '{"text": "Machine learning is transforming...", "max_keywords": 10}'
```

## Output

```json
{
  "keywords": [
    {"word": "machine", "relevance": 0.95},
    {"word": "learning", "relevance": 0.92},
    {"word": "AI", "relevance": 0.88}
  ],
  "phrases": [
    "machine learning",
    "artificial intelligence",
    "neural networks"
  ],
  "topics": [
    "Technology",
    "Artificial Intelligence"
  ],
  "keyword_count": 3,
  "metadata": {...}
}
```

## Use Cases

- SEO keyword research
- Content tagging
- Document indexing
- Topic modeling
- Article summarization

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