// Translate text between languages. Use when the user asks to translate content, detect language, or work with multilingual text.
Anti-detect browser automation CLI & Skills for AI agents. Use when the user needs to interact with websites with bot detection, CAPTCHAs, or anti-bot blocks, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task that requires bypassing fingerprint checks.
Run this BEFORE any package install (pip / npm / apt / brew / cargo / gem / go install) you would otherwise execute via the exec tool — including when the user asks for a deliverable that needs third-party libraries (PDF generation, image processing, scrapers, dashboards, charts, OCR, audio/video, …). It searches the open agent-skill ecosystem (skills.sh) for an installable skill that already does the job; only fall back to direct package install if find-skills returns no credible match. Also covers explicit "find a skill for X" / "how do I do X" / "is there a skill that can..." requests, and any time the user expresses interest in extending agent capabilities.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Execute code in multiple programming languages. Use when the user asks to run, test, or debug code in Python, JavaScript, shell, or other languages.
Analyze data, process CSV/JSON files, compute statistics, and create data visualizations. Use when the user asks about data processing, statistics, or analysis.
Generate images, charts, plots, and visualizations. Use when the user asks to draw, plot, chart, visualize data, or create images.
| name | translation |
| description | Translate text between languages. Use when the user asks to translate content, detect language, or work with multilingual text. |
| metadata | {"fastclaw":{"always":false}} |
Translate text between languages using the exec tool with Python.
Use the exec tool to run a Python script that performs translation. Use the deep-translator library (pip install if needed).
# Install if needed, then translate
import subprocess
subprocess.check_call(["pip", "install", "-q", "deep-translator"])
from deep_translator import GoogleTranslator
text = "YOUR_TEXT_HERE"
source = "auto" # auto-detect source language
target = "en" # target language code
result = GoogleTranslator(source=source, target=target).translate(text)
print(result)
Common codes: en (English), zh-CN (Chinese Simplified), zh-TW (Chinese Traditional), ja (Japanese), ko (Korean), fr (French), de (German), es (Spanish), pt (Portuguese), ru (Russian), ar (Arabic), hi (Hindi)