Why Antigravity Kit?

Most AI coding assistants have zero memory between sessions. They forget your stack, your conventions, your patterns. You end up re-explaining everything, every time.

Antigravity Kit solves this by giving your AI assistant a persistent, structured brain:

• Skills — Domain expertise (frontend, backend, AI, security...) loaded on-demand
• Workflows — Step-by-step process chains for common tasks (brainstorm → implement → test → commit)
• Rules — Always-on guardrails (coding standards, git conventions, research protocols)
• Manifest routing — The right skill gets loaded at the right time, automatically

Think of it as a USB drive of expertise you plug into any AI assistant.

Quick Start

# npm
npx @jhm1909/ag-kit init

# pnpm
pnpm dlx @jhm1909/ag-kit init

# With a profile
npx @jhm1909/ag-kit init --profile fullstack-saas
pnpm dlx @jhm1909/ag-kit init --profile fullstack-saas

That's it. Your .agent/ directory is now populated with skills, workflows, and rules.

Skills

22 production-grade skills across 8 domains. Each skill includes expert knowledge, reference materials, and executable patterns.

Core Engineering

| Skill | Size | Key Features | |-------|------|--------------| | frontend-developer | 292K | React/Vue/Angular, performance optimization, accessibility. Includes Vercel React rules (65 patterns) | | react-nextjs | 180K | Server Components, App Router, Next.js 16 | | threejs | 520K | WebGL, 3D scenes, camera systems | | backend-developer | 36K | API design, system architecture, security (Node/Python/Go/Java) | | mobile-developer | 236K | React Native, Expo, native features, 9 sub-skills | | devops-engineer | 40K | CI/CD, Docker, Kubernetes, Terraform, AWS/GCP |

Design & UX

| Skill | Size | Key Features | |-------|------|--------------| | designer | 640K | BM25 searchable database: 50+ styles, 161 palettes, 57 fonts, 99 UX rules. Anti-AI-slop aesthetic guide (Anthropic) | | app-builder | 80K | Full-stack scaffolding orchestrator, 13 project templates |

Quality & Security

| Skill | Size | Key Features | |-------|------|--------------| | qa-tester | 72K | Unit/E2E/Security/Performance testing. Trail of Bits security audit methodology | | code-review | 32K | Verification gates, differential review. Trail of Bits blast-radius analysis | | debugging | 28K | Scientific debugging: root cause analysis, 4 sub-methodologies | | modern-python | 16K | uv + ruff + ty + pytest. Trail of Bits standard toolchain |

AI & Integrations

| Skill | Size | Key Features | |-------|------|--------------| | ai-engineer | 24K | GenAI, RAG, agentic systems, evaluation pipelines | | mcp-builder | 92K | MCP server development (TS/Python). Anthropic official guide + eval framework | | prompt-engineer | 20K | System prompts, few-shot, chain-of-thought, prompt optimization | | self-improvement | 16K | Feedback descent, evolutionary skill discovery, capability gap analysis. EvoSkill methodology | | context-engineering | 36K | Token optimization, progressive disclosure, multi-agent coordination |

Planning & Management

| Skill | Size | Key Features | |-------|------|--------------| | project-manager | 96K | PRDs, roadmaps, RICE/Kano prioritization. Dean Peters PM frameworks (discovery, JTBD) | | business-analysis | 80K | Requirements analysis, specs, agile documentation | | lead-architect | 48K | System design, ADRs, RFCs, scalability decisions |

Specialized

| Skill | Size | Key Features | |-------|------|--------------| | blockchain-engineer | 20K | Smart contracts, DeFi, tokenomics, EVM/Solana | | game-development | 48K | Game dev orchestrator, 10 platform sub-skills | | marketer | 80K | SEO, content strategy, video production (Remotion) | | research-first | 4K | Meta-skill: always check docs via context7 MCP before coding |

Workflows

15 chainable workflows that guide you from idea to deployment:

New Project    /brainstorm -> /documentation -> /break-tasks -> /implement-feature -> /commit
New Feature    /break-tasks -> /implement-feature -> /gen-tests -> /commit
Bug Fix        /development -> /gen-tests -> /commit
Deep Debug     /debug -> /commit
UI/UX          /ui-ux-design -> /break-tasks -> /implement-feature -> /commit
Study Kit      /absorb -> /break-tasks -> /implement-feature -> /commit
MVP Sprint     /brainstorm -> /documentation -> [/break-tasks -> /implement -> /commit] x N

| Workflow | Purpose | |----------|---------| | /guide | Interactive discovery — finds the right workflow for your task | | /brainstorm | Idea analysis, high-level roadmap + PRD | | /documentation | Architecture docs, API specs, technical specs | | /break-tasks | Requirements to actionable task breakdown | | /implement-feature | Spec-to-code implementation | | /development | Quick fixes and minor changes | | /debug | Scientific debugging with hypothesis testing | | /ui-ux-design | Requirements to comprehensive UI/UX deliverables | | /qa | Test plans and test case documents | | /gen-tests | Auto-generate unit, E2E, security, and perf tests | | /absorb | Study reference projects and extract best practices | | /commit | 3-mode git workflow (Quick / Safe / Custom) | | /bootstrap | Project scaffolding from architectural specs | | /install-skill | Install skills from GitHub repos or registries | | /custom-behavior | Modify agent rules and workflows |

Profiles

Install only what you need:

npx @jhm1909/ag-kit init --profile <name>
# or
pnpm dlx @jhm1909/ag-kit init --profile <name>

| Profile | Included Skills | Optional | |---------|----------------|----------| | web-frontend | frontend-developer, designer | react-nextjs, threejs | | fullstack-saas | frontend, backend, devops, PM, QA | react-nextjs, ai-engineer, lead-architect | | mobile-app | mobile-developer, designer, QA | backend, devops | | ai-powered-app | ai-engineer, frontend, backend | lead-architect, prompt-engineer | | video-content | marketer, frontend, remotion | threejs, designer | | blockchain-dapp | blockchain, frontend, backend | devops, lead-architect |

Architecture

USER -> /guide (Discovery)
  -> Workflow Chain (Orchestration)
    -> Invoke [skill] (Expertise)
      -> skills-manifest.json (Routing)
        -> Rules (Guardrails)

Project Structure

.agent/
├── skills-manifest.json      <- Single source of truth
├── ARCHITECTURE.md            <- Detailed architecture docs
├── skills/                    <- 22 expert skills
│   ├── frontend-developer/
│   │   ├── SKILL.md
│   │   ├── react-nextjs/      <- Sub-skill
│   │   ├── threejs/           <- Sub-skill
│   │   └── references/        <- Vercel React performance rules
│   ├── mcp-builder/
│   │   ├── SKILL.md
│   │   └── references/        <- Anthropic MCP guides (TS, Python, eval)
│   ├── designer/
│   │   ├── SKILL.md
│   │   ├── scripts/           <- BM25 search engine
│   │   └── references/        <- Anti-AI-slop aesthetics guide
│   └── ...
├── workflows/                 <- 15 chainable workflows
├── rules/                     <- 14 always-on rules
└── known-registries.json      <- External skill sources

Absorbed Methodologies

This kit integrates production-grade methodologies from industry leaders:

| Source | License | Skills Enhanced | |--------|---------|----------------| | Trail of Bits | — | qa-tester v3 (security audit), code-review v2 (differential review), modern-python (uv/ruff/ty) | | Vercel | — | frontend-developer v4 (65 React performance patterns, composition rules) | | Dean Peters | — | project-manager v5 (discovery process, PRD framework, Jobs-to-be-Done) | | Anthropic | Apache 2.0 | mcp-builder (MCP server guide + eval), designer v4 (anti-AI-slop aesthetics) | | Superpowers | MIT | debugging (rationalization prevention, defense-in-depth), code-review (anti-performative review), qa-tester (TDD discipline), /brainstorm (HARD-GATE) | | EvoSkill | Apache 2.0 | self-improvement (feedback descent, evolutionary loop), prompt-engineer (abstraction ladder), ai-engineer (skill evolution), code-review (root cause analysis) |

Compatibility

Works with any AI coding assistant that reads .agent/ directories:

| Platform | Status | |----------|--------| | Claude Code (Anthropic) | Supported | | Gemini CLI (Google) | Supported | | Cursor (Anysphere) | Supported | | GitHub Copilot (Microsoft) | Supported |

Skills follow the agentskills.io specification.

CLI Reference

ag-kit init                       # Install full kit
ag-kit init --profile <name>      # Install specific profile
ag-kit init --force               # Overwrite existing installation
ag-kit update                     # Smart update — add new files only
ag-kit update --force             # Update all files including changed
ag-kit list                       # Show available profiles and skills
ag-kit status                     # Check installed version
ag-kit verify                     # Run integrity checks
ag-kit help                       # Show all commands

Stats

22 skills · 15 workflows · 14 rules · 6 profiles
6 absorbed sources · 2,800K+ knowledge base

License

MIT — jhm1909