text-tools
Text processing toolkit: translate, rewrite, regex, encoding/decoding, and formatting.
Datos de origen
- Repositorio
- fuyuxiang/echo-agent
- Última actividad en el origen
- 13 de junio de 2026 a las 14:21
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 1059
- Forks
- 27
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- text-tools
- description
- Text processing toolkit: translate, rewrite, regex, encoding/decoding, and formatting.
- version
- 1.0.0
- metadata
- {"echo":{"tags":["Text","Translation","Regex","Encoding","Format","Utility"]}}
# Text Tools
Text processing utilities powered by Python stdlib.
## Text Cleaning
```python
import re
# Strip HTML
clean = re.sub(r'<[^>]+>', '', html_text)
# Normalize whitespace
clean = ' '.join(text.split())
# Fix common encoding issues
text.encode('utf-8').decode('utf-8')
```
## Regex Helpers
| Pattern | Matches |
|---------|---------|
| `r'[\w.-]+@[\w.-]+'` | Email addresses |
| `r'https?://\S+'` | URLs |
| `r'1[3-9]\d{9}'` | Chinese phone numbers |
| `r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}'` | IPv4 |
| `r'\d{4}-\d{2}-\d{2}'` | Dates (YYYY-MM-DD) |
| `r'[一-鿿]+'` | Chinese characters |
## Encoding/Decoding
```python
from urllib.parse import quote, unquote
import html, base64
# URL encode/decode
quote("你好世界") # '%E4%BD%A0%E5%A5%BD%E4%B8%96%E7%95%8C'
unquote('%E4%BD%A0') # '你'
# HTML entities
html.escape('<script>') # '<script>'
html.unescape('&') # '&'
# Base64
base64.b64encode(b"hello").decode() # 'aGVsbG8='
base64.b64decode("aGVsbG8=") # b'hello'
```
## Word/Character Count
```python
text = "Hello 你好世界"
chars = len(text) # 8
chars_no_space = len(text.replace(' ', '')) # 7
words = len(text.split()) # 2
chinese = len(re.findall(r'[一-鿿]', text)) # 3
```
## Text Diff
```python
import difflib
diff = difflib.unified_diff(old.splitlines(), new.splitlines(), lineterm='')
print('\n'.join(diff))
```
## Translation
For translation, use the agent's LLM capability directly — no external API needed. The agent can translate between any languages in-context.
## Script
```bash
python3 scripts/text_process.py clean " messy text "
python3 scripts/text_process.py count "your text here"
python3 scripts/text_process.py regex-extract "email" "Contact: test@example.com"
python3 scripts/text_process.py encode url "你好"
python3 scripts/text_process.py decode base64 "aGVsbG8="
```
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