Install AI Skills

Six bundled skills give your AI assistant current SystemLink domain knowledge across CLI operations, webapps, notebooks, test applications, packaging, and job debugging.

# Install for all supported clients (most agents + Claude)
slcli skill install --skill all --client all --scope personal

"Show me all failed test results from this week"
"Which assets need calibration?"
"Build me a fleet health dashboard for SystemLink"
"Create a SystemLink notebook that reports daily yield by station"
"Debug this stuck state.apply job from the Jobs API"
"Install the demo-complete-workflow example in the Training workspace"

# Install into the current repo
slcli skill install --skill all --client all --scope project

Build a Nimble Angular WebApp with AI

The systemlink-webapp skill teaches your AI assistant the complete NI design system — @ni/nimble-angular components, @ni/systemlink-clients-ts SDK, hash routing, CSP compliance, theme synchronization, and deployment. One command sets up everything your assistant needs.

slcli webapp init ./fleet-dashboard
cd fleet-dashboard

"I need a web dashboard for monitoring our production test
 systems. It should show which systems are online, recent test
 results, and any assets due for calibration."

"Create a page where I can browse recent test results,
 filter by status and program name, and see a summary of
 failure rates."

"Build a dashboard with key metrics: first-pass yield,
 test throughput per hour, and a trend chart of failures
 over the last 30 days."

# Create Plugin Manager packaging config
slcli webapp manifest init . \
  --description "A dashboard for monitoring fleet health and calibration status." \
  --section Dashboard \
  --maintainer "Your Name <you@example.com>" \
              --license MIT \
              --icon-file ./icon.svg

ng build --configuration production

# Pack the app and generate manifest.json with the artifact SHA-256
slcli webapp pack --config nipkg.config.json
slcli webapp publish dist/<app-name>/browser/ \
  --name "Fleet Dashboard" \
  --workspace Production

# Open the deployed webapp
slcli webapp open --id <webapp-id>

# Re-publish after changes (same --name updates in place)
ng build --configuration production
slcli webapp publish dist/<app-name>/browser/ \
  --name "Fleet Dashboard" --workspace Production

Provision Demo Environments

Instantly provision complete SystemLink environments with realistic data for demonstrations, training classes, and evaluation.

Available Examples

Install an Example

# Browse available examples
slcli example list

# Inspect what will be created
slcli example info demo-complete-workflow

# Dry-run (validate without creating)
slcli example install demo-complete-workflow --workspace Training --dry-run

# Install with audit log
slcli example install demo-complete-workflow \
  --workspace Training \
  --audit-log install-log.json

Clean Up

# Remove all resources from a previous install
slcli example delete demo-complete-workflow \
  --workspace Training \
  --audit-log delete-log.json

Training Exercises

The example datasets are designed for hands-on SystemLink training courses. Each exercise includes structured data with intentional patterns for students to discover.

Exercise 5-1: Parametric Insights

Students query and visualize 18 thermal cycle test results across three test stands to discover:

• TC-03 runs ~3–4 °C warmer than TC-01/TC-02 (calibration offset)
• TC-01 Cycle 5: internal resistance spike → FAIL
• TC-03 Cycle 4: cell temperature spike → FAIL

# Install the exercise data
slcli example install exercise-5-1-parametric-insights \
  --workspace "Training Lab"

# Query the data with the AI skill
"Show me test results grouped by system for the Training Lab workspace.
 Which test stand has consistently higher temperature readings?"

Exercise 7-1: Test Plans

Students learn to create and schedule test plans using templates and workflows.

slcli example install exercise-7-1-test-plans --workspace "Training Lab"

Multi-Environment Operations

Manage multiple SystemLink environments from a single terminal session using named profiles.

# Set up profiles for each environment
slcli login --profile dev --url "https://dev.example.com"
slcli login --profile staging --url "https://staging.example.com"
slcli login --profile prod --url "https://prod.example.com"

# Compare test results across environments
slcli -p dev testmonitor result list --summary --format json > dev-results.json
slcli -p prod testmonitor result list --summary --format json > prod-results.json

# Export templates from dev, import to staging
slcli -p dev template export --name "Battery Test" --output battery-test.json
slcli -p staging template import --file battery-test.json

# Migrate workflows between environments
slcli -p dev workitem workflow export --name "Production Flow" --output workflow.json
slcli -p staging workitem workflow import --file workflow.json

Readonly Mode for AI Agents

Create a readonly profile to let AI assistants query SystemLink safely without any risk of modifying data.

# Create a readonly profile for AI agents
slcli login --profile aiagent \
  --url "https://prod.example.com" \
  --api-key "your-api-key" \
  --readonly

# AI can query freely
slcli -p aiagent testmonitor result list --summary
slcli -p aiagent system list --state CONNECTED
slcli -p aiagent asset list --calibratable --summary

# But mutations are blocked
slcli -p aiagent asset delete <id>
# ✗ Cannot delete: profile is in readonly mode

Automated File Uploads

Monitor a directory and automatically upload new files to SystemLink as they appear.

# Watch for new CSV files and upload them
slcli file watch /data/results --pattern "*.csv" --recursive

# Upload to a specific workspace
slcli file watch /data/results \
  --workspace "Production" \
  --pattern "*.csv" \
  --recursive

# Move files after upload (prevents re-upload)
slcli file watch /data/inbox \
  --move-to /data/uploaded \
  --pattern "*.tdms"

# Delete files after successful upload
slcli file watch /data/inbox --delete-after-upload