Seam Integration Skills

Three focused AI skills for integrating Seam smart lock access code automation into any application.

Skills

Skill	Use case	Description
seam-reservation-automations	PMS, vacation rentals	Push reservation data, Seam handles access codes automatically
seam-access-grants	Hotels, gyms, offices	Per-door credential control — PIN codes, mobile keys, Instant Keys
seam-access-codes	Coworking, custom access	Direct manual control over individual access codes

Each skill guides the AI through exploring the codebase, finding the right integration points, and writing the actual code. Works across TypeScript, Python, Ruby, PHP, and Next.js.

Install

Claude Code (recommended — includes Seam docs MCP server)

# Add the marketplace
/plugin marketplace add seamapi/seam-plugin

# Install the plugin
/plugin install seam@seamapi

This installs all three skills plus the Seam docs MCP server for real-time API documentation.

Other AI tools (Cursor, Codex, Copilot, Gemini CLI, etc.)

# Via skills.sh
npx skills add seamapi/seam-plugin

# Or clone directly
git clone https://github.com/seamapi/seam-plugin.git

Usage

Describe your integration needs and the right skill activates automatically:

"We have reservations and want Seam to handle access codes automatically" → seam-reservation-automations

"We want to give each hotel guest a PIN code for their specific room" → seam-access-grants

"We manage our own member access and just need to create/delete codes on locks" → seam-access-codes

Eval system

Each skill is tested against 5 synthetic fixture apps across different languages and business domains:

API Path	Fixtures	Combined Score
Reservation Automations	express-ts, flask-py, nextjs-ts, rails-rb, php-laravel	94-99
Access Grants	hotel-express-ts, hotel-flask-py, hotel-nextjs-ts, hotel-rails-rb, hotel-php-laravel	95-98
Lower-level API	cowork-express-ts, cowork-flask-py, cowork-nextjs-ts, cowork-rails-rb, cowork-php-laravel	95-98

Running evals

# Rubric only (fast, no API key needed)
bash evals/run_evals.sh --fixtures express-ts --layers rubric

# Full pipeline with sandbox validation
SEAM_API_KEY=<sandbox_key> bash evals/run_evals.sh --layers both

# Specific API path
SEAM_API_KEY=<key> bash evals/run_evals.sh --api-path access_grants --runs 1

Requirements: Docker, Python 3, Claude CLI, Seam sandbox API key (for Layer 2)

Docs

• Design spec — eval system architecture
• Implementation plan — eval build plan
• Original design — skill design document

Links

• Seam docs
• Seam Console
• Seam MCP server — docs search for AI assistants
• Agent Skills spec — the open standard these skills follow