felipeinf

felipeinf / fasterizy

Public

Multi-agent skill for faster workflows

www.npmjs.compackagefasterizy agents caveman claude-code claudemem coding-agent
10
2
100% credibility
Found Apr 21, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Fasterizy is a skill for AI coding agents that promotes concise, direct responses to accelerate workflows in Q&A, planning, and technical documentation.

How It Works

1
🔍 Discover Fasterizy

You hear about Fasterizy from AI coding friends or online, a helpful skill that makes your AI assistants chat more quickly and directly.

2
📥 Get it set up

You use a simple one-click installer to add Fasterizy to your computer, ready for your favorite AI tools.

3
Pick your AI helpers
🧠
Claude Code

Sets up as a plugin so your planning sessions speed up.

✨
Cursor or others

Adds rules or skills to make Q&A and docs snappier.

4
🔄 Restart your AI tool

Give your AI a quick refresh, and Fasterizy is quietly working behind the scenes.

5
💬 Turn it on

In your chat, type /fasterizy to switch on the speedy mode – it feels instant.

6
⚡ Enjoy quicker chats

Your AI now skips chit-chat, gives straight answers, plans, and docs – saving you time on every turn.

🎉 Work flows faster

You finish coding questions, plans, and reviews much quicker, loving the efficient teamwork with your AI.

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Star Growth

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AI-Generated Review

What is fasterizy?

Fasterizy is a JavaScript npm package delivering a multi-agent skill to speed up AI coding workflows in tools like Claude Code, Codex, Cursor, and GitHub Copilot. It injects concise response rules—stripping filler while keeping technical accuracy—for faster Q&A, planning, and docs in multi-agent setups. Install once via `npx fasterizy install` or agent commands like `/plugin install fasterizy@fasterizy`, then toggle with `/fasterizy` for quicker turns without losing exact terminology.

Why is it gaining traction?

It stands out by supporting one-command installs across Claude multi-agent GitHub agents, Copilot multi-agent systems, and langchain multi-agent skills, handling updates via CLI without per-agent hassle. Developers notice 20-120 token responses in planning loops, parallel tool calls, and no-recap prose, cutting multi-agent workflow GitHub Copilot latency. Tuned for hierarchical multi-agent skill discovery and variational offline multi-agent skill discovery patterns, it prioritizes turn speed over verbosity.

Who should use this?

Backend engineers using Claude Code multi-agent skills for debugging or architecture planning. Teams orchestrating multi-agent pathfinding GitHub or PPO/SAC simulations via Copilot. Full-stack devs in Cursor or Windsurf needing faster multi-agent vs skills toggles during iterative coding.

Verdict

Try it if multi-agent workflows feel sluggish—CLI and cross-agent support deliver real speedups. With 10 stars and 1.0% credibility, it's raw and unproven; install via npx, test on non-critical projects, and watch for maturity.

(198 words)

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