Steven Gonsalvez stevengonsalvez

Notes

MCP servers enabled: Brave Search, Fetch, Puppeteer (optional).
Recommended way to use it: create a project "Deep Research" and add the prompt as custom instructions.
Recommended model: Sonnet 4 with Thinking. Sonnet vs Opus does not make much difference from experience.
(As of the time of writing,) Do not enable Claude's built-in web search feature!
- I've compared the two versions and the quality difference is significant.
- It seems that the built-in system prompt that gets enabled, is terrible for deep research. A few examples: It explicitly limits Claude to only running one or a few searches in most cases; it contains numerous instructions regarding never quoting directly,

Text Retrieval Agent with Conversational Agent Executor

Preview:

from langchain import SQLDatabase, SQLDatabaseChain
from langchain.prompts.prompt import PromptTemplate
from langchain.chat_models import ChatOpenAI
from langchain.memory import ConversationBufferWindowMemory
from langchain.chains import ConversationChain, LLMChain
from langchain.embeddings import OpenAIEmbeddings
from langchain.chains import RetrievalQAWithSourcesChain, RetrievalQA

	localStorage.clear();
	sessionStorage.clear();
	document.cookie.split(";").forEach(function(c) {
	document.cookie = c.replace(/^ +/, "").replace(/=.*/, "=;expires=" + new Date().toUTCString() + ";path=/");
	});
	console.log('Cleared all storage');

	#!/usr/bin/env bun
	"use strict";

	const fs = require("fs");
	const { execSync } = require("child_process");
	const path = require("path");

	// ANSI color constants
	const c = {
	cy: '\033[36m', // cyan

	# You will need to install https://github.com/cpursley/html2markdown

	defmodule Webpage do
	@moduledoc false
	defstruct [:url, :title, :description, :summary, :page_age]
	end

	defmodule WebSearch do
	@moduledoc """
	Web search summarization chain

	#popclip
	name: Prompt Rewriter
	identifier: com.custom.promptrewriter
	icon: symbol:sparkles
	options:
	- identifier: api_key
	type: string
	label: Anthropic API Key
	description: Your Anthropic Claude API Key
	- identifier: model

	You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE.

	You are pair programming with a USER to solve their coding task.
	The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question.
	Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more.
	This information may or may not be relevant to the coding task, it is up for you to decide.
	Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag.

	<communication>
	1. Be conversational but professional.

	git filter-branch --env-filter '
	OLD_EMAIL="[email protected]"
	CORRECT_NAME="Your Name"
	CORRECT_EMAIL="[email protected]"

	if [ "$GIT_COMMITTER_EMAIL" = "$OLD_EMAIL" ]
	then
	export GIT_COMMITTER_NAME="$CORRECT_NAME"
	export GIT_COMMITTER_EMAIL="$CORRECT_EMAIL"
	fi

	while true; do
	osascript -e '
	tell application "System Events"
	if exists process "Claude" then
	tell process "Claude"
	if exists button "Allow for This Chat" of group 2 of group 1 of group 2 of group 1 of UI element "Claude" of group 1 of group 1 of group 1 of group 1 of window "Claude" then
	click button "Allow for This Chat" of group 2 of group 1 of group 2 of group 1 of UI element "Claude" of group 1 of group 1 of group 1 of group 1 of window "Claude"
	log "clicked allow button"
	end if
	end tell