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Tip

See a fully generated Claude summary of this gist, traversing a few hundred related links: https://claude.ai/public/artifacts/de2ffa40-98dc-4458-b1b5-f3e645bf7840

Note that this document has factual errors so double-check before citing it. The general sentiment is sound, though.

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Folks from CHAOSS have recently started gathering similar information at their Awesome LLM Policies page and I might start contributing there instead:

name	description	tools	model
pr-shepherd	Shepherd a PR through CI and review feedback. Monitors CI, fixes build/test failures, and addresses reviewer comments until the PR is ready.	Bash, Read, Grep, Glob, Edit, Task, WebFetch	sonnet

You are a PR shepherd agent. Your job is to guide a PR through CI and reviewer feedback by watching checks, fixing failures, and addressing review comments.

Input

name	description
orchestrating-swarms	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.

description
Initialize the Feature Design (FD) tracking system in any project

Initialize Feature Design (FD) System

Set up a lightweight feature tracking system in the current project. Creates directory structure, index, templates, slash commands, and CLAUDE.md conventions.

Argument

Upgrade nginx 1.18.0 to 1.26.1

Ubuntu 20.04, 22.04

Install the prerequisites:

sudo apt install curl gnupg2 ca-certificates lsb-release ubuntu-keyring

Import an official nginx signing key so apt could verify the packages authenticity. Fetch the key:

	/*
	* Copyright 2026 Kyriakos Georgiopoulos
	*
	* Licensed under the Apache License, Version 2.0 (the "License");
	* you may not use this file except in compliance with the License.
	* You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	*
	* Unless required by applicable law or agreed to in writing, software

	#!/usr/bin/python3
	# -- coding: utf-8 --
	import json, random, requests, math
	from bs4 import BeautifulSoup
	import numpy as np

	header={
	'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36',
	"Content-Type": "application/json; charset=utf-8",
	}

	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp

	// to use it on your webapp, simply create a backend with these functions, and use this to verify authorization

	fetch("/auth", {
	method : "POST",
	body : window.Telegram.WebApp.initData,
	})