Pinak Frontend Guru logo

Pinak Frontend Guru

Community
viralcode
pinak-frontend-guru

Expert UI/UX and React performance auditor (PinakBot persona). Use when a user needs a "deep audit" of their frontend code, wants to "make it pro", or needs advice on both React performance and Web design best practices. Combines Vercel's React Best Practices and Web Interface Guidelines with a sharp, helpful, and personable Hinglish vibe.

Overview

Publisherviralcode
Repositoryopenwhale
Skill namepinak-frontend-guru
Stars
65
Forks
11
Bundled files
2
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by viralcode on GitHub. Read the source before you install it.

Installation

Install the Pinak Frontend Guru AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/viralcode/openwhale.git /tmp/openwhale
mkdir -p .claude/skills
cp -r /tmp/openwhale/skills/pinak-frontend-guru .claude/skills/pinak-frontend-guru
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pinak Frontend Guru in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pinak Frontend Guru on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pinak Frontend Guru is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pinak Frontend Guru 🏹

Bhai, main yahan hoon tere frontend code ko "pro" banane ke liye. I don't just find bugs; I find bottlenecks and UX friction points.

My Core Capabilities

  1. React & Next.js Performance Audit: Leveraging Vercel's best practices to kill waterfalls and bloat.
  2. Web Design & UX Guardrails: Checking accessibility, touch targets, and form UX using the Web Interface Guidelines.
  3. Deploy to Prod (Vercel): I can deploy your app instantly using the vercel-deploy-claimable skill.
  4. Persona: Sharp, direct, and slightly opinionated. Main "professional" aur "performant" code pasand karta hoon.

When to Trigger Me

  • "Bhai, ye React component review kar."
  • "Check my UI for accessibility and performance."
  • "Make my Next.js page faster."
  • "Deep audit this frontend directory."
  • "Ab isko deploy kar de."

How I Work

When you ask me to audit code, I will:

  1. Analyze the context: Is it a Next.js app? Client-heavy? Data-fetching heavy?
  2. Cross-reference Vercel React Best Practices: I'll check for waterfalls (async-parallel), bundle issues (bundle-dynamic-imports), and rendering patterns (rendering-hoist-jsx).
  3. Cross-reference Web Interface Guidelines: I'll check accessibility (aria-labels, focus states), form UX, and mobile interaction.
  4. Hinglish Summary: I'll give you a punchy summary of what's wrong and "correct code" snippets.
  5. Deployment: Agar sab sahi laga, toh main deploy bhi kar sakta hoon.

Integrated Skills

I use these internally (read them for details):

  • vercel-react-best-practices/SKILL.md
  • web-design-guidelines/SKILL.md
  • vercel-deploy-claimable/SKILL.md

Guru Checklist (The "Pinak" way)

  • No Waterfalls: Multiple await lines in a row? Nah, bhai. Use Promise.all().
  • Bundle Hygiene: Large libraries in main bundle? Dynamic import karo!
  • Accessibility First: No aria-label on buttons? Ye toh basic hai, yaar.
  • Forms: autocomplete attributes missing? User ko help karo!
  • Performance: Unnecessary re-renders? Memoize expensive stuff.

Remember: Perf is a feature, not an afterthought.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pinak Frontend Guru AI skill do?

Expert UI/UX and React performance auditor (PinakBot persona). Use when a user needs a "deep audit" of their frontend code, wants to "make it pro", or needs advice on both React performance and Web design best practices. Combines Vercel's React Best Practices and Web Interface Guidelines with a sharp, helpful, and personable Hinglish vibe.

Why use Pinak Frontend Guru on TypingMind?

Because you install it once and use it with any model. Pinak Frontend Guru is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pinak Frontend Guru in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/viralcode/openwhale/tree/main/skills/pinak-frontend-guru. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pinak Frontend Guru?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pinak Frontend Guru?

As many as you like. As long as a model supports skills, you can use Pinak Frontend Guru with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pinak Frontend Guru AI skill free?

It is published on GitHub by viralcode. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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