Claude Code Plugins

Plugins for Claude Code are combinations of skills, agents, slash commands, and other context to improve the effectiveness and autonomy of Claude Code for specialized tasks.

You can learn more about how they work here: https://code.claude.com/docs/en/plugins

Requirements

These plugins requires a recent version of Claude Code. Always update claude to ensure you have the latest features.

claude update

Install uv for Python package management:

curl -LsSf https://astral.sh/uv/install.sh | sh

For log monitoring during deployment and user acceptance testing, install expect (provides the unbuffer command):

brew install expect

Installation

Add the marketplace and install plugins using Claude Code's plugin system:

# Add the Canvas Medical marketplace
/plugin marketplace add canvas-medical/coding-agents

# Install a plugin (e.g., cpa)
/plugin install cpa@canvas-medical

After installation, enable the plugin:

/plugin

Navigate to the Installed tab and enable the plugin. Once enabled, plugin commands are available with a namespace prefix (e.g., /cpa:new-plugin).

To view all available commands:

/help

To turn on the auto-update (recommanded):

/plugin

Go to Marketplaces with Tab key, then select canvas-medical with the Arrows keys and press Enter, then select Enable auto-update and press Enter.

Available Plugins

canvas-plugin-assistant

Guided Canvas plugin development with SDK reference, patterns, security review, and deployment workflows.

Features:

• Brainstorm plugin requirements through guided dialogue
• Canvas SDK documentation (~20k lines) always available
• Architecture patterns based on handler count complexity
• Icon generation for Application plugins (SVG to 48x48 PNG)
• API security review for authentication/authorization
• Unit test authoring with 90% coverage target
• Instance configuration analysis
• Deployment with log monitoring

Slash Commands (prefixed with cpa: when installed via marketplace):

Command	Description
:check-setup	Verify environment tools (uv, unbuffer, canvas CLI)
:new-plugin	Start brainstorming a new plugin specification
:create-icon	Generate SVG icon and convert to 48x48 PNG for Applications
:analyze-instance	Analyze Canvas instance configuration
:deploy	Deploy plugin and monitor logs
:coverage	Run tests with coverage, offer to improve if below 90%
:security-review	Comprehensive security audit (API auth, FHIR tokens, secrets)
:database-performance-review	Review for N+1 queries and ORM optimization
:wrap-up	Final checklist before calling a plugin "done"
:run-evals	Execute eval cases to verify review commands

Workflow Artifacts: Review commands save timestamped reports to .cpa-workflow-artifacts/ at the git repository root. These reports are useful for code review and audit trails.

See canvas-plugin-assistant/README.md for full documentation.

pytest-forge

Generate and validate pytest unit tests following strict guidelines with 100% code coverage.

Features:

• Automated test generation from Python source files
• Test validation against custom guidelines
• Intelligent test improvement suggestions
• Project setup with pytest and coverage tools
• Auto-configuration check at session start for unconfigured projects

Slash Commands (prefixed with pytest: when installed via marketplace):

Command	Description
:setup	Configure pytest and coverage tools for your project
:generate-tests	Generate comprehensive tests for a Python source file
:validate-tests	Check tests for guideline compliance and coverage gaps
:improve-tests	Analyze and enhance existing tests

Testing Guidelines Enforced:

• Strict naming conventions (test_method_name, test_method_name__case)
• Standard variable names (tested, result, expected, exp_*)
• Mock verification using mock_calls instead of assert_called_with()
• side_effect preferred over return_value
• 100% code coverage requirement

See pytest-forge/README.md for full documentation.