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Code Quality Skill — React SPA Agent Review

Purpose

This skill instructs an agent how to evaluate a React SPA codebase with the judgment of a seasoned engineer. It defines what to look for, how to look for it, what representation to use, and where automation has hard limits.

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Representation First

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Thinking Notation Framework

Capture reasoning durably, navigate it at any altitude, communicate it without synthesis overhead.

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Core Distinction: Thinking vs. Work

Maintain two separate systems.

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ollama rm active-big:latest
ollama create active-big -f <(echo FROM qwen3:30b-a3b)

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// index.ts

import { $ } from "bun";

const token = process.env.BEARER_TOKEN;

if (!token) {
  throw new Error("Missing BEARER_TOKEN environment variable");
}

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git config --global alias.nb '!f() { git fetch origin && git checkout -b "$1" origin/${2:-master} --no-track; }; f'
git config --global --type bool push.autoSetupRemote true

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#!/bin/bash

# MCPO CLI - Efficient MCP OpenAPI Proxy Client
# Usage: ./mcpo.sh <command> [args...]

set -e

# Configuration
MCPO_HOST="${MCPO_HOST:-http://localhost:8000}"
MCPO_TOKEN="${MCPO_TOKEN:-supersecret}"

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import os
import re
from typing import Callable, Any
from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.formatters import TextFormatter

class EventEmitter:
    def __init__(self, event_emitter: Callable[[dict], Any] = None):
        self.event_emitter = event_emitter

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INPUT=$1

# TY https://github.com/paulpaul999/vr-video-notes/blob/main/vr-to-flat/README.md
ffmpeg -i $INPUT -filter_complex "
[0:v]crop=iw/2:ih:0:0[left];
[0:v]crop=iw/2:ih:iw/2:0[right];
[left]v360=input=hequirect:output=flat:d_fov=125:w=1920:h=1080:pitch=0[flattened_left];
[right]v360=input=hequirect:output=flat:d_fov=125:w=1920:h=1080:pitch=0[flattened_right]
" \
-map "[flattened_left]" -c:v libx265 -crf 18 -pix_fmt yuv420p flattened_left.mp4 \

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# BOOK_SRC=mp3s/what-govt-has-done-to-our-money  BOOK_DEST=What-Government-Has-Done-To-Our-Money.m4b bash m4b-tool.sh
docker run -it --rm -u $(id -u):$(id -g) -v "$(pwd)":/mnt sandreas/m4b-tool:latest \
  merge -vv --jobs=3 --ffmpeg-threads=3 "/mnt/$BOOK_SRC" --output-file="/mnt/$BOOK_DEST"

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import https from 'https';
import request from 'request';
import fs from 'fs';
import bodyParser from 'body-parser';

var jsonParser = bodyParser()

const backend = {
  'proto': 'https',
  'host': 'your-instance-name.openai.azure.com'