Lightricks
Official@lightricks · Jerusalem, Israel
Bridging Imagination and Creation
Agent Skills by Lightricks
Showing 14 vetted skills indexed across 1 GitHub repositories.
Lightricksbuild-data-spec
Scan dbt codebase to generate a Markdown data spec of events, models, and columns.
Lightrickscreate-pr
Automate PR creation from feature branches with rebasing, squashing, and Linear ticket linking.
Lightricksdashboard-builder
Coordinate feature dashboard creation in Hex Threads with metric specs and approval.
Lightrickslinear
Create Linear issues, link PRs, and post weekly status reports to Slack.
Lightricksmonitoring
Route monitoring requests to specialized sub-agents for SQL, alerts, and documentation.
Lightricksgong-product-intelligence
Analyze Gong sales call transcripts from BigQuery to generate HTML product insight reports.
Lightricksenterprise-monitor
Monitor enterprise account health, usage, and contract compliance with threshold alerts.
Lightricksusage-monitor
Detects anomalies in LTX Studio metrics by comparing yesterday's values to the last 10 same-day-of-week data points.
Lightricksapi-runtime-monitor
Monitor LTX API latency, error rates, and throughput with threshold alerts.
Lightricksbe-cost-monitoring
Analyze backend GPU costs for LTX API and LTX Studio.
Lightricksrevenue-monitor
Monitor revenue and subscription metrics to detect anomalies and threshold breaches.
Lightricksltx-marketing-daily-report
Aggregate marketing and sales metrics into a Slack-ready daily report.
Lightricksltx-product-daily-report
Generate daily LTX Studio product reports with segment revenue and usage metrics.
Lightricksltx-sales-daily-report
Automate daily LTX Studio sales reporting with dwh data and credit alerts.
Frequently Asked Questions About Lightricks
FAQPage SchemaWhat specific tasks can engineers perform using these capabilities?▼
Engineers can generate dbt data specifications, manage Linear issue lifecycles, and monitor backend infrastructure performance. These capabilities enable the systematic tracking of GPU costs, API latency, and error rates, while facilitating the generation of structured reports for product usage, subscription revenue, and sales call insights derived from BigQuery.
Which personas benefit most from these monitoring and reporting functions?▼
Data engineers, product managers, and financial analysts are the primary users. These personas utilize the registry to maintain data integrity, track enterprise account health, monitor subscription revenue anomalies, and ensure that backend infrastructure costs remain within defined thresholds for LTX Studio and related product lines.
What are the prerequisites for implementing these monitoring and reporting functions?▼
Implementation requires existing connectivity to BigQuery for data retrieval and integration with Slack for report distribution. Users must also maintain a dbt codebase for documentation generation and have active Linear and Gong accounts to enable issue tracking and sales transcript analysis respectively.