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@Tostino
Tostino / inkbot-chunked-summary.txt
Last active March 22, 2026 08:55
Generate a chunked summary prompt example
<#meta#>
- Date: 2023-10-05
- Task: summary
<#system#>
Your main objective is to condense the content of the document into a concise summary, capturing the main points and themes.
<#chat#>
<#user#>
Please read the provided Original section to understand the context and content. Use this understanding to generate a summary of the Original section, incorporating relevant details and maintaining coherence with the Prior Summary.
Notes:
@Tostino
Tostino / inkbot-summary-of-summaries.txt
Last active March 22, 2026 08:56
Generate a summary-of-summaries prompt example
<#meta#>
- Date: 2023-10-05
- Task: summary
<#system#>
Your main objective is to condense the content of the document into a concise summary, capturing the main points and themes.
<#chat#>
<#user#>
To craft a Final Summary:
1. Read Summarized Sections: Carefully review all the summarized sections of the document. Ensure that you have a clear understanding of the main points, key details, and essential information presented in each section.
@mootrichard
mootrichard / goose-recipes-collection.md
Created October 10, 2025 00:21
Goose Subagents Recipe Collection - Complete catalog with usage examples and workflow patterns

Goose Subagents Recipe Collection

A curated collection of powerful Goose recipes for code analysis, testing, documentation, and research.

📚 About

These recipes are specialized configurations for Goose subagents that help automate common development workflows. Each recipe is designed to be reusable, parameterized, and production-ready.

🚀 Quick Start

@am17an
am17an / mtp-bench.py
Last active May 24, 2026 21:38
MTP benchmark
#!/usr/bin/env python3
import argparse, json, sys, time
from urllib import request
PROMPTS = [
{"name": "code_python", "prompt": "Write a Python function that returns the n-th Fibonacci number using memoization. Include a docstring."},
{"name": "code_cpp", "prompt": "Write a C++ template function `clamp(x, lo, hi)` that returns x clamped to [lo, hi]. No std::clamp."},
{"name": "explain_concept", "prompt": "Explain how speculative decoding works in large language model inference, in three short paragraphs."},
{"name": "summarize", "prompt": "Summarize in two sentences: The Industrial Revolution began in Britain in the late 18th century, transforming manufacturing through mechanization, steam power, and the factory system. It spread to continental Europe and North America during the 19th century."},
{"name": "qa_factual", "prompt": "Q: What are the four fundamental forces of physics?\nA:"},