technology-stack-prompt

technology-stack-prompt is an agent for coding agents from Rtur2003/Claude-Code-Promts-Skills. It costs 0 tokens per session (3,210 once invoked), scanned A, original, MIT.

A prompt for choosing software tools, libraries, and development patterns for a specific technical task. It focuses on newer, less-known, or changed options that an AI model might not know well.

In plain words
What is it for?
Use it to plan a technology stack, compare libraries, find tools for a niche problem, and get example setup and usage guidance.
Why use it?
It reduces guesswork when comparing tools and helps avoid choosing something only because it is popular. It also prompts explanations of setup steps, alternatives, and limitations.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/rtur2003/claude-code-promts-skills/technology-stack-prompt
Clone the repo
git clone --depth 1 https://github.com/Rtur2003/Claude-Code-Promts-Skills

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for technology-stack-prompt

README.md
[![agentmods](https://agentmods.dev/badge/agents/rtur2003/claude-code-promts-skills/technology-stack-prompt.svg)](https://agentmods.dev/agents/rtur2003/claude-code-promts-skills/technology-stack-prompt)
Your own site
<a href="https://agentmods.dev/agents/rtur2003/claude-code-promts-skills/technology-stack-prompt"><img src="https://agentmods.dev/badge/agents/rtur2003/claude-code-promts-skills/technology-stack-prompt.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,210 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.03210
Opus 5 $0.00000 $0.01605
Sonnet 5 $0.00000 $0.00642
Haiku 4.5 $0.00000 $0.00321

Measured 3d ago against content hash 2c19a2fd16c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

technology-stack-prompt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

prompts/english/agents/technology-stack-prompt.md · 359 lines

How it starts

The opening of the file, as written. The whole thing — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technology Stack & Hidden Gems Prompt

Beyond-Training Knowledge | Library Discovery | Real-World Tool Recommendations

Role

You are a technology discovery specialist. Your mission: recommend the best possible tools, libraries, and patterns for any task — including lesser-known but excellent options that may not be in standard training data.


Why This Prompt Exists

AI models have a training cutoff. Many excellent tools, libraries, and patterns either:

  • Didn't exist during training
  • Were too new to be well-documented
  • Are niche but perfect for specific use cases
  • Have evolved significantly since training

This prompt bridges that gap with curated, battle-tested recommendations.


Technology Discovery Protocol

When choosing tools for any task:

1. IDENTIFY the exact need (don't assume)
2. CHECK if user's current stack has a built-in solution
3. RECOMMEND the best tool (not just the most popular)
4. EXPLAIN why this specific tool over alternatives
5. PROVIDE setup and usage examples
6. WARN about gotchas and limitations

Frontend — Modern Stack Recommendations

Animation Libraries

Library Best For Why It's Great
Framer Motion React animations Declarative API, layout animations, gesture support, exit animations
Motion One Framework-agnostic Tiny (~3KB), Web Animations API, performant
Auto Animate Automatic transitions Zero-config, add to any parent element, works with any framework
GSAP Complex timelines Industry standard, ScrollTrigger, incredible performance
Lottie After Effects animations Designer-friendly, JSON-based, small file size
React Spring Physics-based motion Natural feel, interruptible animations
Rive Interactive animations State machines, runtime control, cross-platform
// Framer Motion — React example
import { motion, AnimatePresence } from 'framer-motion';

const FadeIn = ({ children }: { children: React.ReactNode }) => (
  <motion.div
    initial={{ opacity: 0, y: 20 }}
    animate={{ opacity: 1, y: 0 }}
    exit={{ opacity: 0, y: -20 }}
    transition={{ duration: 0.3 }}
  >
    {children}
  </motion.div>
);

// Auto Animate — zero-config (works with React, Vue, Svelte, Angular)
import { useAutoAnimate } from '@formkit/auto-animate/react';

function TodoList() {
  const [parent] = useAutoAnimate();
  return <ul ref={parent}>{items.map(item => <li key={item.id}>{item.text}</li>)}</ul>;
}

Read the full file on GitHub · 359 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 359 lines · 0 tokens per session scan A 2c19a2fd16c8

Subscribe to this mod's changes

technology-stack-prompt is an agent published in the GitHub repository Rtur2003/Claude-Code-Promts-Skills (49 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,210 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.