Ijam18

Ijam18 / MAJI-Skills

Public

Stop repeating yourself to Claude. 5 collaboration skills that save ~75% tokens, prevent scope drift, recognise frustration. AGPL v3 licensed.

ai claude claude-code collaboration cost-savings
13
0
100% credibility
Found May 13, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A set of markdown-based prompt patterns for improving Claude AI's coding assistance by enforcing concise, disciplined responses across common developer workflows.

How It Works

1
🔍 Discover MAJI Skills

You find this collection of simple tips that make your AI coding helper respond exactly how you want, without wasting time or words.

2
📖 Explore the benefits

You read real stories showing how it stops frustrating surprises, cuts down on long-winded replies, and saves you money on AI usage.

3
🚀 Set it up in seconds

You quickly copy the tip files into a special folder where your AI looks for helpful instructions.

4
💬 Start a chat session

You open a conversation with your AI and turn on the main skill to activate the better behavior.

5
✨ Feel the magic

Right away, your AI gives straight-to-the-point answers, asks before making big changes, and skips unnecessary chit-chat.

6
➕ Add more skills

You bring in extra tips for tasks like explaining code, debugging issues, or reviewing your work.

🎉 Build faster and happier

Your AI chats become quick, reliable, and cost-effective, letting you focus on creating great projects without rework or frustration.

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Star Growth

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AI-Generated Review

What is MAJI-Skills?

MAJI-Skills delivers markdown-based prompt patterns for Claude Code sessions, teaching the AI to cut preamble, recognize frustration signals, and stick to your scope—saving about 75% tokens per exchange while stopping repetition in every interaction. You install by copying files to your Claude skills directory, invoke with simple commands like /maji-mode, and get disciplined responses for workflows like debugging, code reviews, and commit messages. It's AGPL v3 licensed, zero telemetry, and works across any project stack.

Why is it gaining traction?

It stands out by enforcing decision modes (discuss/build/pause/pivot) and pre-action gates that prevent Claude from overreaching, like surprise refactors or commits—issues no generic prompt library fixes. Developers hook on the instant token math: shorter, table-first outputs without endless iterations, plus real before/after examples proving less rework. Unlike vague "best practices," these are copy-paste skills that compose for chat, explain, debug, and review.

Who should use this?

Indie hackers and solo founders grinding with Claude for full-stack builds, especially vibe-coders who hate re-explaining styles or deleting scope-drift commits. Senior devs pairing with AI on daily tasks like git diffs or error hunts, and designers prototyping code who need tight, frustration-free exchanges. Skip if you're a casual tinkerer—the overhead beats low-volume use.

Verdict

Try maji-mode first if you're deep in Claude Code; the patterns deliver on token savings and control despite 13 stars and 1.0% credibility signaling early maturity. Solid docs and validation phase make it low-risk to test, but wait for more PRs before betting core workflows on experimental skills.

(198 words)

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