Skill UI

Automates database backups by generating compression/encryption scripts, scheduling cron jobs, and documenting restore procedures for PostgreSQL, MySQL, MongoDB, and SQLite whenever backup automation or disaster recovery planning is requested.

Automates database backups by generating compression/encryption scripts, scheduling cron jobs, and documenting restore procedures for PostgreSQL, MySQL, MongoDB, and SQLite whenever backup automation or disaster recovery planning is requested.

Guides GCP users through automating Cloud Scheduler job creation with best practices, ready-to-run code, and validation, ideal for implementing cron-driven workloads across compute, storage, BigQuery, Vertex AI, and Cloud Run.

Guidelines for building Convex backends with TypeScript, detailing syntax, validators, schema design, queries, mutations, actions, scheduling, and file storage so you can implement Convex database operations, real-time updates, and cron jobs consistently.

Provides automated guidance for designing and implementing cron job schedulers in backend projects, covering best practices, production-ready code, and validation for node.js, Python, Go, databases, and microservices patterns.

This skill enables the development of robust, event-driven pipelines interacting with the Perplexity Sonar API. Since Perplexity lacks native webhooks, this system simulates event patterns using advanced techniques: Streaming Server-Sent Events (SSE) for real-time data, job queues (like BullMQ/SQS) for asynchronous batch research, and cron-triggered monitoring for scheduled news and trend alerts. It provides patterns for building complex, reliable, and scalable AI applications.

Manage cron-based schedules by querying current jobs, prompting user decisions, and creating or deleting tasks with self-contained messages so automated operations run exactly when needed.

Provides a complete guide to backing up and restoring Odoo, covering PostgreSQL dumps, filestore archiving, cron automation, and optional cloud uploads so production instances can recover quickly from failures.

This skill initializes an autonomous, scheduled loop for running complex research or engineering experiments. Users specify the target experiment and select a recurring interval (e.g., 10 minutes, daily, weekly). It utilizes cron scheduling to ensure continuous research, guiding iterative changes, evaluating metrics, and committing results automatically until manually stopped.

This skill automates the extraction of actionable items, commitments, and follow-ups from meeting notes (e.g., Granola, Grain). It creates structured tasks in Todoist, updates task status, and drafts follow-up emails. Ideal for running daily or post-meeting cron jobs to ensure all commitments are tracked and executed.

This skill generates a comprehensive daily digest summarizing all critical pending items into a single summary. It aggregates stalled scheduling threads, unanswered emails, pending introductions/follow-ups, open Todoist tasks, and upcoming calendar events from multiple sources. It is essential for running a daily summary cron job or when the user requires a quick status check on their workload and commitments.

This comprehensive skill scans Linux systems for various persistence vectors, including crontab entries, systemd units, LD_PRELOAD injections, and shell profile modifications. It correlates these findings with auditd logs to build a detailed installation timeline, which is critical for incident response and threat hunting to detect hidden backdoors.