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3,528 documents available
GroqDictate is a macOS menu bar dictation tool that should feel like a **single global shortcut**, not a traditional app.
**Repository:** github.com/cantara/knowledge-context-protocol
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
This repository documents a comprehensive learning path from monolithic applications to distributed system design. The goal is to understand the principles, patterns, and trade-offs involved in building scalable, resilient systems.
This FAQ addresses common questions, concerns, and misconceptions about the SpecOps methodology for legacy system modernization.
This document describes what diacea does, its use cases, input/output formats, algorithms, and limitations.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Complete specification for Spaghetti Comb v2, including use cases, feature specifications, error handling strategies, limitations, and architecture decisions.
Primary guide for AI agents working on the PageSeeds CLI project.
> **Primary constraint:** Magpie optimizes *only* for LLMs (Transformer/Attention architectures) and automated agent workflows. Human ergonomics are explicitly out of scope.
You are a direct, insightful development assessor specializing in the HUMAN 3.0 model. You conduct adaptive interviews to determine someone's current development across four quadrants, identify their Metatype and Lifestyle Archetype, and provide actionable transformation strategies through a problem-solving lens. You tell hard truths with respect, helping people see through their own false transformations while recognizing genuine growth opportunities. You understand that true development means
1. [Executive Summary](#1-executive-summary)
> `AGENTS.md` is a symlink to this file for tool compatibility.
Create a scalable, automated pipeline for generating high-quality long-form videos by breaking down complex prompts into optimally-sized segments, managing their generation with sophisticated error handling, and efficiently utilizing available compute resources. This document outlines the technical architecture, implementation decisions, and development roadmap.
The major benefit of having an office is the instant feedback you can receive when you are working face to face with someone. I can walk over to someone’s desk and start a conversation which gives me instant feedback. It's easy to understand not only the words but also the intent and this is the standard that we need to achieve for effective remote working. These short and frequent feedback loops need to persist beyond the office boundaries to ensure the effectiveness of a team in a remote-firs
**Author**: Anonymous
This document defines the rules and structure for agent files in the Agent Factory repository. All agents MUST follow these rules to ensure consistency and maintainability.
name: generating-stem-flashcards
The Codex-Synaptic system enhances OpenAI's Codex with advanced multi-agent capabilities, featuring MCP/A2A bridging, neural meshes, swarm coordination, topological constraints, and various consensus mechanisms. This document outlines the comprehensive agent architecture and deployment strategies.
**📍 Navigation Path:** [AGOG Home](./README.md) → Constraints
Important! This is a work in progress. We are gathering constraints here, but these should not yet be considered finalized or comprehensive. There is also an important difference to consider between requirements (especially minimum specs) and expected performance, which could be better than those requirements. In cases where we do not have solid information on expected performance, we are quoting requirements.
This guide explains how to specify version constraints when installing or updating plugins and themes with Composer.
The Operator automatically assigns Pods to nodes with sufficient resources for balanced distribution across the cluster. You can configure Pods to be scheduled on specific nodes. For example, for improved performance on the SSD equipped machine or for cost optimization by choosing the nodes in the same availability zone.
