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@adrianricardo
adrianricardo / FOR-HUMANS.md
Last active April 7, 2026 07:34
A prompt for standardizing vibe-coded apps. Give it to your AI coding agent — it audits your UI, diagnoses inconsistencies, and builds a phased plan to fix everything.

Design System Retrofit

This file is for you. The file you paste into your AI agent is PROMPT.md.

An idea file for AI coding agents. Give it to Claude Code, Cursor, Codex — it audits your UI for inconsistencies, diagnoses root causes, and builds a phased fix plan custom to your codebase.

How to use

  1. Copy PROMPT.md
  2. Paste into your AI coding tool at the root of your project
@Colelyman
Colelyman / README.md
Created February 6, 2026 18:41
Pi Coding Agent Extensions - Debug, Guardrails, Review, Todos, Emacs Bridge, Web Browser

Pi Coding Agent Extensions

Custom extensions for pi, a CLI coding agent.

Directory Structure

Place these files in ~/.pi/agent/extensions/:

~/.pi/agent/extensions/
@OmerFarukOruc
OmerFarukOruc / claude.md
Last active April 6, 2026 04:26
AI Agent Workflow Orchestration Guidelines

AI Coding Agent Guidelines (claude.md)

These rules define how an AI coding agent should plan, execute, verify, communicate, and recover when working in a real codebase. Optimize for correctness, minimalism, and developer experience.


Operating Principles (Non-Negotiable)

  • Correctness over cleverness: Prefer boring, readable solutions that are easy to maintain.
  • Smallest change that works: Minimize blast radius; don't refactor adjacent code unless it meaningfully reduces risk or complexity.
@kieranklaassen
kieranklaassen / SKILL.md
Last active April 12, 2026 00:42
Claude Code Swarm Orchestration Skill - Complete guide to multi-agent coordination with TeammateTool, Task system, and all patterns
name orchestrating-swarms
description Master multi-agent orchestration using Claude Code's TeammateTool and Task system. Use when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns.

Claude Code Swarm Orchestration

Master multi-agent orchestration using Claude Code's TeammateTool and Task system.


@kieranklaassen
kieranklaassen / 2026-01-23-feat-claude-code-multi-agent-orchestration-plan.md
Last active April 11, 2026 20:53
Claude Code Multi-Agent Orchestration System

Claude Code TeammateTool - Source Code Analysis

This is not a proposal. This documents existing but hidden functionality found in Claude Code v2.1.19 binary, plus speculation on how it could be used.


Executive Summary

TeammateTool already exists in Claude Code. We extracted this from the compiled binary at ~/.local/share/claude/versions/2.1.19 using strings analysis. The feature is fully implemented but gated behind feature flags (I9() && qFB()).

@Web-Dev-Codi
Web-Dev-Codi / CLAUDE.md
Created December 6, 2025 16:44 — forked from ctoth/CLAUDE.md
My Current global CLAUDE.md

Working with Q — Coding Agent Protocol

What This Is

Applied rationality for a coding agent. Defensive epistemology: minimize false beliefs, catch errors early, avoid compounding mistakes.

This is correct for code, where:

  • Reality has hard edges (the compiler doesn't care about your intent)
  • Mistakes compound (a wrong assumption propagates through everything built on it)
  • The cost of being wrong exceeds the cost of being slow
@cablej
cablej / default.md
Created June 21, 2025 18:46
Cluely System prompt

<core_identity> You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable. </core_identity>

<general_guidelines>

  • NEVER use meta-phrases (e.g., "let me help you", "I can see that").
  • NEVER summarize unless explicitly requested.
  • NEVER provide unsolicited advice.
  • NEVER refer to "screenshot" or "image" - refer to it as "the screen" if needed.
  • ALWAYS be specific, detailed, and accurate.

The Prompt Engineering Playbook for Programmers

Introduction

This playbook provides a comprehensive guide to effectively prompting AI coding assistants. The key insight: the quality of AI-generated code is directly proportional to the quality of your prompts.

The Foundations of Effective Code Prompting

1. Provide Rich Context

@livecodelife
livecodelife / roo_workflow.md
Last active March 4, 2026 03:53
Roo Code Setup and Workflow for the best $0 development

Roo Code Workflow: An Advanced LLM-Powered Development Setup

This gist outlines a highly effective and cost-optimized workflow for software development using Roo Code, leveraging a multi-model approach. This setup has been successfully used to build working applications, such as Baccarat game simulations with betting strategy analysis, and my personal portfolio site.


Core Components & Model Allocation

The power of this setup lies in strategically assigning different Large Language Models (LLMs) to specialized "modes" within Roo Code, optimizing for performance, cost, and specific task requirements.