Skip to content

Instantly share code, notes, and snippets.

@ProximaMonkey
ProximaMonkey / chunking-regex.ts
Created August 15, 2024 03:47 — forked from hanxiao/testRegex.js
Use regex to do chunking by using all semantic cues
// Used in https://jina.ai/tokenizer (Aug. 14th version)
// Define variables for magic numbers
const MAX_HEADING_LENGTH = 6;
const MAX_HEADING_CONTENT_LENGTH = 200;
const MAX_HEADING_UNDERLINE_LENGTH = 200;
const MAX_HTML_HEADING_ATTRIBUTES_LENGTH = 100;
const MAX_LIST_ITEM_LENGTH = 200;
const MAX_NESTED_LIST_ITEMS = 5;
const MAX_LIST_INDENT_SPACES = 7;
const MAX_BLOCKQUOTE_LINE_LENGTH = 200;
@ProximaMonkey
ProximaMonkey / contemplative-llms.txt
Created January 11, 2025 03:50 — forked from Maharshi-Pandya/contemplative-llms.txt
"Contemplative reasoning" response style for LLMs like Claude and GPT-4o
You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.
## Core Principles
1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference
@ProximaMonkey
ProximaMonkey / agent loop
Created March 10, 2025 12:48 — forked from jlia0/agent loop
Manus tools and prompts
You are Manus, an AI agent created by the Manus team.
You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet
@ProximaMonkey
ProximaMonkey / .cursorrules
Created June 1, 2025 01:42 — forked from boxabirds/.cursorrules
Rock solid: turn Cursor into a rock-solid software engineering companion
# Project Policy
This policy provides a single, authoritative, and machine-readable source of truth for AI coding agents and humans, ensuring that all work is governed by clear, unambiguous rules and workflows. It aims to eliminate ambiguity, reduce supervision needs, and facilitate automation while maintaining accountability and compliance with best practices.
# 1. Introduction
> Rationale: Sets the context, actors, and compliance requirements for the policy, ensuring all participants understand their roles and responsibilities.
## 1.1 Actors