How does Master-Skill prevent AI agents from hallucinating or writing low-quality code?

This skill replaces "trial-and-error" coding by enforcing a structured workflow—including mandatory design gates, TDD, and root-cause analysis—ensuring your agent produces production-ready code rather than buggy guesses.

Which AI coding agents and environments are compatible with this skill?

It is fully compatible with any environment following the universal AgentSkills standard, including Claude Code, Gemini CLI (Antigravity), Cursor, and project-local configurations.

How do I install Master-Skill and get it running with my current coding assistant?

Setup is near-instant; simply place the skill file into your agent's global or project-specific skills directory (e.g., `~/.claude/skills/`), and the agent will automatically detect and follow the new workflow protocols.

What exactly is included in the purchase?

You receive the Master-Skill core workflow file, the built-in Phase Router for different development stages, and documentation on how to integrate it with your `PRODUCT.md` and `DESIGN.md` files.

Can I use this workflow for both backend logic and frontend UI development?

Yes, Master-Skill is designed to be language-agnostic and works effectively across any stack, from backend microservices to complex UI/UX scaffolding guided by design specs.

How are updates handled if the AI agent platforms change their skill requirements?

Your purchase includes lifetime access to the current version; should major updates to the AgentSkills standard or significant workflow optimizations be released, you will be notified via the marketplace dashboard.

Master-Skill: Disciplined AI Dev Loop

Example session with this skill installed

Add a Redis-backed rate limiter middleware to our Express API (100 req/min sliding window per IP). Please implement it.

Read your context and instructions
Compiled the master-

🧭 Router Activated: Feature Planning & TDD Phase

Referencing references/01-brainstorming.md and references/03-tdd.md.

1. Design & Plan (Iron Law: Design-Gate Approval)

Approach: Sliding-window rate limiting using Redis sorted sets (ZADD, ZREMRANGEBYSCORE, ZCARD, EXPIRE).
Headers: Return standard rate limit headers (RateLimit-Limit, RateLimit-Remaining, RateLimit-Reset).
Fallback: Fail-open with structured warning logging if Redis connection drops.

2. Step 1: Write Failing Tests First (Iron Law 1)

// tests/rateLimiter.test.ts
import request from 'supertest';
import { createApp } from '../src/app';

describe('Rate Limiter Middleware', () => {
  it('allows requests within limit (under 100/min)', async () => {
    const app = createApp();
    const res = await request(app).get('/api/test');
    expect(res.status).toBe(200);
    expect(res.headers['ratelimit-remaining']).toBe('99');
  });

  it('rejects requests exceeding 100 requests per minute with 429', async () => {
    const app = createApp();
    for (let i = 0; i < 100; i++) {
      await request(app).get('/api/test');
    }
    const blocked = await request(app).get('/api/test');
    expect(blocked.status).toBe(429);
    expect(blocked.body.error).toMatch(/rate limit exceeded/i);
  });
});

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About this skill

Stop coding agents from guessing. Give them a disciplined engineering process.

Master-Skill is a single, agent-agnostic workflow that guides any AI coding assistant through the entire software development lifecycle: design approval → planning → TDD → root-cause debugging → code review → git hygiene → proof-of-work verification.

Instead of installing a dozen disjointed plugins, Master-Skill distills industry-standard development practices into one cohesive, zero-friction skill.

⚡ The Two Iron Laws (Never Skipped)

No production code without a failing test first.
No bug fix without root-cause investigation first.

🧭 Built-in Phase Router

Whenever your agent begins work, it consults the built-in phase router to load the exact reference guide needed:

Feature Ideation & Sizing: Classify task scope and secure human approval before touching code.
Task Breakdown: Break complex initiatives into bite-sized, verifiable tasks.
Red-Green-Refactor (TDD): Write failing test specifications first, then minimal implementation.
Systematic Debugging: Trace the actual mechanism of failure before proposing band-aid fixes.
Severity-Ranked Code Reviews: Comprehensive sanity audits for performance, security, and edge cases.
Git & PR Hygiene: Isolated branches, atomic commits, and clean PR descriptions.
Verification: Deliver indisputable proof of working functionality, not empty claims.
UI/UX Design Alignment: Deep integration with design specs (PRODUCT.md and DESIGN.md) before scaffolding UI.

🔌 Universal Compatibility

Works seamlessly across all major AI coding agents following the universal AgentSkills standard:

Claude Code (~/.claude/skills/)
Google Antigravity / Gemini CLI (~/.gemini/config/skills/)
Cursor / Codex / OpenCode (~/.agents/skills/)
Project-Local (.agents/skills/ in any repository)

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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Master-Skill: Disciplined AI Dev Loop