Production-ready, cross-platform configuration framework, system rules (Prime Directives), 24 modular skills (
agentskills.iostandard), and MCP configurations for Antigravity / Gemini CLI, Claude Code, and Modern Cursor IDE (.mdc).
Modern AI coding agents often suffer from common failure modes:
- Simulation & Mocking Traps: Writing fake stubs or untested boilerplate without running tests.
- Context Window Flooding: Inefficiently dumping thousands of prompt lines instead of on-demand skill discovery.
- Monolithic Spaghetti Code: Creating giant files without clean architecture or boundary isolation.
- 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.
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.
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. |
Clone and run the installer in your environment:
git clone https://github.com/Gzyms69/agent-setup-bundle.git
cd agent-setup-bundle
./install.sh./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- Configure API Keys:
- Update
~/.gemini/settings.jsonor~/.cursor/mcp.jsonwith your GitHub token (GITHUB_PERSONAL_ACCESS_TOKEN) or Google API Key if using MCP servers.
- Update
- System Baseline:
- Customize
~/.agents/rules/system-identity.mdwith your system's hardware specs (CPU, GPU, RAM) to prevent the AI from guessing system capabilities.
- Customize
| 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 |
This project is licensed under the MIT License.