chore: clean up random unused files (#5166)
This commit is contained in:
Alex Hancock
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# goose Jokes 🦢
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## Why did the goose become a developer?
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Because it wanted to help debug all those "fowl" errors in the code!
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---
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*Feel free to add more goose-related programming humor below!*
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@@ -1,17 +0,0 @@
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{
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"demo": {
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"title": "goose File Operations Demo",
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"version": "1.0.0",
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"features": [
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"File creation",
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"File reading",
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"Content modification",
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"Multiple formats"
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],
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"metadata": {
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"created_by": "goose AI Assistant",
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"created_at": "2025-07-02T17:33:32Z",
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"file_type": "demonstration"
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}
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}
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}
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Hello, World!
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This is a demonstration of file operations in goose.
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Here are some key points:
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- Files can be created and edited
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- Content can be viewed and modified
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- Multiple file formats are supported
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Current timestamp: 2025-07-02 17:33:32
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--- UPDATE ---
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This content was added after the initial file creation!
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File modification operations include:
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- String replacement
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- Line insertion
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- Content appending
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@@ -1,6 +0,0 @@
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#!/bin/bash
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# Launcher script for goose GUI
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# Suppresses common GLib warnings that don't affect functionality
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cd /home/alfonsodg/Devel-Local/oss/goose/ui/desktop/out/goose-linux-x64
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./goose 2>&1 | grep -v "GLib-GObject" | grep -v "browser_main_loop"
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@@ -1,87 +0,0 @@
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version: "1.0.0"
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title: "Word Counter"
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description: "A recipe that counts words in text using an inline Python extension"
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instructions: |
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This recipe provides a simple word counting tool. You can:
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1. Count words in a text string
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2. Get statistics about the text (unique words, average word length)
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3. Generate word clouds from the text
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parameters:
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- key: text
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input_type: string
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requirement: required
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description: "The text to analyze"
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extensions:
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- type: inline_python
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name: word_counter
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code: |
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from mcp.server.fastmcp import FastMCP
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import json
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from collections import Counter
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import numpy as np
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from wordcloud import WordCloud
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import matplotlib.pyplot as plt
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import base64
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from io import BytesIO
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mcp = FastMCP("word_counter")
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@mcp.tool()
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def count_words(text: str) -> str:
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"""Count the number of words in a text string and generate statistics"""
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words = text.split()
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word_count = len(words)
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unique_words = len(set(words))
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avg_length = sum(len(word) for word in words) / word_count if word_count > 0 else 0
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# Generate word cloud
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wordcloud = WordCloud(width=800, height=400, background_color='white').generate(text)
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# Save word cloud to base64
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plt.figure(figsize=(10, 5))
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plt.imshow(wordcloud, interpolation='bilinear')
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plt.axis('off')
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# Save to bytes
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buf = BytesIO()
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plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0)
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buf.seek(0)
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img_base64 = base64.b64encode(buf.getvalue()).decode()
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plt.close()
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result = {
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"total_words": word_count,
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"unique_words": unique_words,
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"average_word_length": round(avg_length, 2),
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"most_common": dict(Counter(words).most_common(5)),
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"wordcloud_base64": img_base64
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}
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return json.dumps(result, indent=2)
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if __name__ == "__main__":
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mcp.run()
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timeout: 300
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description: "Count words and provide text statistics with visualization"
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dependencies:
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- "mcp"
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- "numpy"
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- "matplotlib"
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- "wordcloud"
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- "beautifulsoup4"
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- "html2text"
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- "requests"
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prompt: |
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You are a helpful assistant that can analyze text using word counting tools.
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The user has provided the following text to analyze: {{ text }}
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Use the word_counter__count_words tool to analyze this text and provide insights about:
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- Total word count
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- Number of unique words
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- Average word length
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- Most commonly used words
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- A word cloud visualization of the text
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@@ -1,100 +0,0 @@
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/** @type {import('tailwindcss').Config} */
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export default {
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darkMode: ['class'],
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content: ['./src/**/*.{js,jsx,ts,tsx}', './index.html'],
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plugins: [require('tailwindcss-animate'), require('@tailwindcss/typography'), require('@tailwindcss/line-clamp') ],
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theme: {
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extend: {
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fontFamily: {
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sans: ['Cash Sans', 'sans-serif'],
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mono: ['Cash Sans Mono', 'monospace'],
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},
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keyframes: {
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shimmer: {
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'0%': { backgroundPosition: '200% 0' },
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'100%': { backgroundPosition: '-200% 0' },
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},
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loader: {
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'0%': { left: 0, width: 0 },
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'50%': { left: 0, width: '100%' },
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'100%': { left: '100%', width: 0 },
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},
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popin: {
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from: { opacity: 0, transform: 'scale(0.95)' },
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to: { opacity: 1, transform: 'scale(1)' },
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},
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fadein: {
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'0%': { opacity: 0 },
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'100%': { opacity: 1 },
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},
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appear: {
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'0%': { opacity: 0, transform: 'translateY(12px)' },
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'100%': { opacity: 1, transform: 'translateY(0)' },
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},
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flyin: {
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'0%': { opacity: 0, transform: 'translate(-300%, 300%)' },
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'100%': { opacity: 1, transform: 'translate(0, 0)' },
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},
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wind: {
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'0%': { transform: 'translate(0, 0)' },
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'99.99%': { transform: 'translate(-100%, 100%)' },
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'100%': { transform: 'translate(0, 0)' },
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},
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rotate: {
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'0%': { transform: 'rotate(0deg)' },
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'100%': { transform: 'rotate(360deg)' },
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},
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'spin-fast': {
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'0%': { transform: 'rotate(0deg)' },
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'100%': { transform: 'rotate(360deg)' },
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},
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indeterminate: {
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'0%': { left: '-40%', width: '40%' },
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'50%': { left: '20%', width: '60%' },
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'100%': { left: '100%', width: '80%' },
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},
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},
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animation: {
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'shimmer-pulse': 'shimmer 4s ease-in-out infinite',
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'gradient-loader': 'loader 750ms ease-in-out infinite',
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indeterminate: 'indeterminate 1.5s infinite linear',
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'spin-fast': 'spin-fast 0.5s linear infinite',
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},
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colors: {
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bgApp: 'var(--background-app)',
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bgSubtle: 'var(--background-subtle)',
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bgStandard: 'var(--background-standard)',
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bgProminent: 'var(--background-prominent)',
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bgAppInverse: 'var(--background-app-inverse)',
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bgSubtleInverse: 'var(--background-subtle-inverse)',
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bgStandardInverse: 'var(--background-standard-inverse)',
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bgProminentInverse: 'var(--background-prominent-inverse)',
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borderSubtle: 'var(--border-subtle)',
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borderStandard: 'var(--border-standard)',
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borderProminent: 'var(--border-prominent)',
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textProminent: 'var(--text-prominent)',
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textStandard: 'var(--text-standard)',
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textSubtle: 'var(--text-subtle)',
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textPlaceholder: 'var(--text-placeholder)',
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textProminentInverse: 'var(--text-prominent-inverse)',
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iconProminent: 'var(--icon-prominent)',
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iconStandard: 'var(--icon-standard)',
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iconSubtle: 'var(--icon-subtle)',
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iconExtraSubtle: 'var(--icon-extra-subtle)',
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slate: 'var(--slate)',
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blockTeal: 'var(--block-teal)',
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blockOrange: 'var(--block-orange)',
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},
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typography: {
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DEFAULT: {
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css: {
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color: 'var(--text-standard)',
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},
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},
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},
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},
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},
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};
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