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Multi-Platform Agentic AI Environment & Skill Suite

Production-ready, cross-platform configuration framework, system rules (Prime Directives), 24 modular skills (agentskills.io standard), and MCP configurations for Antigravity / Gemini CLI, Claude Code, and Modern Cursor IDE (.mdc).


Overview

Modern AI coding agents often suffer from common failure modes:

  1. Simulation & Mocking Traps: Writing fake stubs or untested boilerplate without running tests.
  2. Context Window Flooding: Inefficiently dumping thousands of prompt lines instead of on-demand skill discovery.
  3. Monolithic Spaghetti Code: Creating giant files without clean architecture or boundary isolation.
  4. Hardware & Version Hallucinations: Speculating about hardware capabilities or package versions without live verification.

agent-setup-bundle solves this by establishing a unified, multi-platform engineering operating system across your favorite AI coding assistants.


Key Features

1. 10 Operational Core Rules (~/.agents/rules/)

  • modular-architecture.md — Anti-Monolith constraint (max ~150-200 lines), Clean/Hexagonal architecture, strict layer direction, typed boundary contracts.
  • zero-speculation.md — Total ban on guessing versions, APIs, or system states without live verification.
  • systemic-excellence.md — Anti-workaround protocol, single source of truth (SSOT), and DRY enforcement.
  • system-identity.md — Hardware & OS baseline template to prevent environment hallucinations.
  • subagent-economy.md — Dynamic tiering of LLM models based on task complexity.
  • problem-isolation.md — Strict scope containment and root cause debugging.
  • command-verification.md — Mandatory read-only verification after running commands.
  • env-integrity.md — Environment sanity checks before modifying project files.
  • error-triage.md — Diagnostic priority order (Docs -> Web -> Code).
  • full-log-reporting.md — Ban on truncated or paraphrased error reporting.

2. 24 Production-Grade Skills (~/.agents/skills/)

All skills adhere to the open agentskills.io standard with progressive disclosure:

Skill Description & Trigger
skill-monorepo-architect Polyglot monorepo management (uv Python workspaces + pnpm/Turborepo), shared-core pattern.
skill-plugin-architecture Microkernel architecture, BasePlugin, dynamic discovery, and fault isolation.
skill-osint-engineering Threat intelligence gathering, Pydantic entity graphs, pivoting, and OPSEC protocols.
skill-stealth-scraping Anti-bot evasion (Cloudflare/DataDome), TLS fingerprint spoofing, headless browser automation.
spec-driven-development Gated SDLC (Specify -> Plan -> Tasks -> Implement).
skill-backend-architect Contract-first API design, database schemas, Pydantic/Zod boundaries.
skill-frontend-architect Clean UI/UX architecture, state separation, accessibility, and performance.
skill-qa-engineer Test-Driven Development (TDD Red-Green), TypeScript compilation safety gates.
doubt-driven-development Fresh-context adversarial reviews to challenge false confidence.
skill-codebase-onboarding Cartography and progressive disclosure for unfamiliar repositories.
skill-code-review 5-axis systematic code review (correctness, readability, architecture, security, performance).
skill-system-diagnostics Kernel, OS, hardware, and driver diagnostics.
skill-devops-cloud Docker containers, CI/CD pipelines, and cloud infrastructure.
skill-data-science Data ingestion pipelines, exploratory data analysis, and validation.
skill-data-analysis Statistical analysis, hypothesis testing, and anomaly detection.
skill-ai-ml LLM model integrations, embeddings, vector databases, and agent workflows.
skill-graph-analytics Graph databases (Neo4j), topology analysis, and Graph Data Science.
skill-graphics-webgl 2D/3D WebGL scenes, Three.js, and Canvas animations.
marketing-copywriting Conversion-focused technical copywriting.
avoid-ai-writing Detection and removal of AI writing clichés and robotic patterns.
seo-optimization-and-audit Web metadata, Core Web Vitals, and search ranking optimization.
skill-research Rigorous technical and academic multi-source research.
skill-resume-tailor ATS-optimized resume, CV, and cover letter tailoring.
skill-web-architecture Full-stack web architectural standards and API contracts.

1-Click Quickstart Installation

Clone and run the installer in your environment:

git clone https://github.com/Gzyms69/agent-setup-bundle.git
cd agent-setup-bundle
./install.sh

Installation Options:

./install.sh --all       # Configure all platforms (default)
./install.sh --gemini    # Configure Antigravity / Gemini CLI only
./install.sh --claude    # Configure Claude Code only
./install.sh --cursor    # Configure Cursor IDE only

Configuration & Setup

  1. Configure API Keys:
    • Update ~/.gemini/settings.json or ~/.cursor/mcp.json with your GitHub token (GITHUB_PERSONAL_ACCESS_TOKEN) or Google API Key if using MCP servers.
  2. System Baseline:
    • Customize ~/.agents/rules/system-identity.md with your system's hardware specs (CPU, GPU, RAM) to prevent the AI from guessing system capabilities.

Supported Environments

Platform Manifest Location Rule Format Skill Support
Antigravity / Gemini CLI ~/.gemini/GEMINI.md ~/.agents/rules/*.md ~/.agents/skills/
Claude Code ~/.claude/CLAUDE.md CLAUDE.md + .claude/agents/ ~/.agents/skills/
Cursor IDE Root / Project .cursor/rules/*.mdc On-demand docs

License

This project is licensed under the MIT License.

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Multi-platform agentic AI engineering system: 24 modular skills, 10 iron rules & MCP protocol harness.

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