**Note**: This project uses [bd (beads)](https://github.com/steveyegge/beads) for issue tracking. Use `bd` commands instead of markdown TODOs. See the **Issue Tracking with bd (beads)** section below

- For Python development assume `uv` to be installed. Assume Python versions to be installed and maintained via `uv python install`.

Repository-level operating rules for Codex and collaborators.

Ralph Loop that orchestrates Ralph Loops across a GitHub account/org.

[Engineering at Anthropic](/engineering)

[Engineering at Anthropic](/engineering)

Delegate code tasks and analysis to Codex CLI agents

To create or edit subagents, use the **agent-kit:claude-agent-development** skill.

- Agents extend `LlmAgent` or `BaseAgent`

**Purpose**: Coordinate multiple agents running in parallel to maximize efficiency and avoid conflicts.

I want to develop features in parallel using Git worktrees and subagents: $ARGUMENTS

Documentation for GreenLang AI Agent Workforce Deployment

Local Claude Code agents for DevTrack PM workflow — project-vision (PM), devtrack-engineer, post-generator

Demo the SubagentStop hook by spawning 3 agents and viewing the activity log

/* Most apps just need AI SDK directly */

**IMPORTANT**: This project uses **bd (beads)** for ALL issue tracking. Do NOT use markdown TODOs, task lists, or other tracking methods.

Agents support the "small steps, verify often" principle from `.claude/docs/APPROACH.md`.

> Claude Code: read this at the start of every session alongside CLAUDE.md.

**Search Demand:** VERY HIGH (launched yesterday, April 8, 2026)

Personal dotfiles managed with **chezmoi** + **Nix Home Manager** on macOS.

> Every logical service in EOM is described here: its responsibility boundary,

> Last synced: 2026-04-21

**Objetivo Primordial:** Este documento y **todos los demás archivos `.md` que contienen reglas, directrices o conocimientos operativos** deben ser actualizados proactivamente por el Agente de IA. La

- Funciones propósito único, preferiblemente <20 líneas

Этот файл описывает, **как мы используем AI внутри проекта**. Он превращает

Sync agent configuration files to project

> **Purpose**: Define autonomous AI agents with roles, goals, and tools for DataOps workflows

Agentic Workflow — persistent AI development workflows with quality gates when you need them.

This document defines agent roles, responsibilities, and safe collaboration rules.

Localizados em `~/COMBINED/workspace-config/claude/agents/`:

**This tool coordinates Claude Code's actions. It does NOT write code or create content.**

The following agents ship with this harness (under `~/.claude/agents/` for global install, `./.claude/agents/` for project install). Do not reference agents that are not in this list.

**Launches multiple parallel agents for grunt work - same task, different inputs.**

The fundamental challenge in any complex problem is combinatorial explosion. The Hubble Space Telescope scheduling problem involves tens of thousands of observation requests, six scientific instrument

Gary Klein and Roberta Calderwood's field research with urban fireground commanders revealed something that challenges the foundation of most AI decision systems: **proficient decision-makers almost n

A fundamental tension in rational agent design: Commitment is computationally necessary (can't constantly reconsider every decision), but blind commitment is irrational (must respond to changing circu

In 1986, Gary Klein and colleagues studied fireground commanders — captains of firefighting companies — to understand how they made life-or-death decisions under conditions of extreme time pressure an

Creates an AI agent for an assistant.

> **Contract alignment**: These docs align to ntask CLI Contract v1.0.0.

> AI agents: Read this file FIRST before any task.

Diagnose and fix USB timeout errors during JetPack flashing on Jetson. Covers the 5 most common causes: VM USB instability, insufficient power, bad cable, USB hub, wrong package.

Microservices architecture structures an application as a collection of loosely coupled, independently deployable services, each organized around a business capability. Each service owns its data, run

Use the installed `qrspi-codex-orchestrator` skill as the default orchestration layer for software-development work in this repository.

Dev containers define reproducible development environments using a `devcontainer.json` file. They are the foundation of GitHub Codespaces and work with VS Code Dev Containers, the devcontainer CLI, a

Configure a dev container for Python development using the official Python feature or base image. Supports version selection, tool installation via pipx, virtual environments, and JupyterLab.

Voice agents turn the same agent concepts into spoken, low-latency interactions. The key design choice is deciding whether the model should work directly with live audio or whether your application sh

Use these agent definitions when the request is large, parallelizable, or needs tighter role separation.

Classical decision theory — and much early AI — assumed that good decision-making follows a recognizable structure: enumerate options, evaluate each against criteria, select the best. This model is cl

Integrating the GPT-5 family and o3-deep-research models into production workflows.

Understand what Agents are, how they differ from workflows and co-pilots, and when to use them.