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@ruvnet
ruvnet / .clinerules
Last active April 21, 2025 01:24
SPARC Cursor/Cline Rules guide structured agentic coding through simplicity, iteration, clear documentation, symbolic reasoning, rigorous testing, and focused AI-human collaboration, ensuring maintainable, secure, high-quality outcomes.
# SPARC Agentic Development Rules
Core Philosophy
1. Simplicity
- Prioritize clear, maintainable solutions; minimize unnecessary complexity.
2. Iterate
- Enhance existing code unless fundamental changes are clearly justified.
@ruvnet
ruvnet / .roomodes.json
Last active April 21, 2025 01:24
This guide introduces Roo Code and the innovative Boomerang task concept, now integrated into SPARC Orchestration. By following the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion) and leveraging advanced reasoning models such as o3, Sonnet 3.7 Thinking, and DeepSeek, you can efficiently break down complex proj…
{
"customModes": [
{
"slug": "sparc",
"name": "⚡️ SPARC Orchestrator",
"roleDefinition": "You are SPARC, the orchestrator of complex workflows. You break down large objectives into delegated subtasks aligned to the SPARC methodology. You ensure secure, modular, testable, and maintainable delivery using the appropriate specialist modes.",
"customInstructions": "Follow SPARC:\n\n1. Specification: Clarify objectives and scope. Never allow hard-coded env vars.\n2. Pseudocode: Request high-level logic with TDD anchors.\n3. Architecture: Ensure extensible system diagrams and service boundaries.\n4. Refinement: Use TDD, debugging, security, and optimization flows.\n5. Completion: Integrate, document, and monitor for continuous improvement.\n\nUse `new_task` to assign:\n- spec-pseudocode\n- architect\n- code\n- tdd\n- debug\n- security-review\n- docs-writer\n- integration\n- post-deployment-monitoring-mode\n- refinement-optimization-mode\n\nValidate:\n✅ Files < 500 lines\n✅ No hard-coded
@closedLoop
closedLoop / agent loop
Created March 18, 2025 13:37 — 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
@renschni
renschni / Manus_report.md
Last active April 20, 2025 14:42
In-depth technical investigation into the Manus AI agent, focusing on its architecture, tool orchestration, and autonomous capabilities.

I wrote an in-depth research prompt to conduct a GPT-Deep-Research on the Manus topic, seeking to replicate it with currently available open source tools. This is the result:

TLDR: Manus AI Agent Report

Manus is an autonomous AI agent built as a wrapper around foundation models (primarily Claude 3.5/3.7 and Alibaba's Qwen). It operates in a cloud-based virtual computing environment with full access to tools like web browsers, shell commands, and code execution. The system's key innovation is using executable Python code as its action mechanism ("CodeAct" approach), allowing it to perform complex operations autonomously. The architecture consists of an iterative agent loop (analyze → plan → execute → observe), with specialized modules for planning, knowledge retrieval, and memory management. Manus uses file-based memory to track progress and store information across operations. The system can be replicated using open-source components including CodeActAgent (a fine-tuned Mistral model), Docker for sandbox

@jlia0
jlia0 / agent loop
Last active April 21, 2025 00:40
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
@Maharshi-Pandya
Maharshi-Pandya / contemplative-llms.txt
Last active April 20, 2025 02:39
"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
@viadanna
viadanna / workshop-handout.md
Last active April 26, 2022 10:48
Handout for Periodic Reports Workshop

Periodic Reports Workshop

Welcome to the workshop. Here we'll get a hands-on approach on creating periodic reports on a sandbox provided by OpenCraft.

Sandbox Instructions

  1. Register an account on the provided sandbox

https://lilac-periodic-reports.opencraft.hosting

@bhrutledge
bhrutledge / django-tutorials.md
Last active December 12, 2023 16:34
My thoughts on Django tutorials

Django Tutorials

I've scanned through these, and they all seem to cover the basic features of Django (models, function-based views, forms, templates, CSS, and the admin interface), and use Python 3 and Django 2. My notes indicate what I think differentiates them.

Django Girls tutorial

  • Written for Django Girls workshops or self-teaching
  • Widely recommended for beginners, even to Python, web development, and command line
  • Build a blog
  • Instructions for Windows, Mac, and Linux (including Python installation)
@noahcoad
noahcoad / readme.md
Last active April 18, 2025 21:50
Code Minecraft with Python on Mac OSX

Code Minecraft with Python on Mac OSX

Here's a step-by-step to get started scripting Minecraft with Python on Mac OSX

@victorres11
victorres11 / instapage-segment.js
Last active December 2, 2021 01:06
Segment integration code to be used on Instapage
// callback to trigger code upon a landing page form submit - the main call to action.
window.instapageFormSubmitSuccess = function( form ){
// Instapage is a bit quirky with how it captures values of the form submit, but you should be able to use this code and replace the form fields with whatever your page is capturing.
var firstName = ijQuery( form ).find( 'input[name="' + window.base64.base64_encode( 'First Name' ) +'"]').val();
var lastName = ijQuery( form ).find( 'input[name="' + window.base64.base64_encode( 'Last Name' ) +'"]').val();
var email = ijQuery( form ).find( 'input[name="' + window.base64.base64_encode( 'Email') +'"]').val();
// Segment identify call.
analytics.identify(email, {
firstName: firstName,