stevengonsalvez

#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

stevengonsalvez

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.

stevengonsalvez

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

stevengonsalvez

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

stevengonsalvez

stevengonsalvez

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

stevengonsalvez

Text Retrieval Chain with Vectorstore and RetrievalQA

Preview:

def text_retrieval_chain():
    # main retrieval chain class
    class RetrievalChain:
        def __init__(self, llm, retriever):
            self.chain = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=retriever)

        def run(self, prompt):

stevengonsalvez

Disable Device Enrollment Notification on Mac.md

Restart the Mac in Recovery Mode by holding Comment-R during restart

Open Terminal in the recovery screen and type

csrutil disable

stevengonsalvez

// Example based actions/core documentation
const core = require('@actions/core');
const { decode } = require('jsonwebtoken');
const { axiosClient } = require('./axioshelp');

getIDTokenAction().catch((error) =>{
  console.log('errors?',error)
})

async function getIDTokenAction() {

stevengonsalvez

// Sketchy loading of the jsrsasign library into Postman Sandbox
var navigator = {}; //fake a navigator object for the lib
var window = {}; //fake a window object for the lib
eval(pm.globals.get("jsrsasign-js")); //import javascript jsrsasign

var currentTime = +new Date(); // the current time in milliseconds
var issuedAtTimeSeconds = currentTime/1000;
var expirationTimeSeconds = currentTime/1000 + 3600;

// Grab the JWK from the Environment and change to JSON object