risk-based-testing
Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating resources, or making coverage decisions.
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526 skills found
Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating resources, or making coverage decisions.
Stress-test existing product feature ideas by identifying risky assumptions across Value, Usability, Viability, and Feasibility using a multi-perspective devil's advocate framework.
Expert technical support for the Litestream disaster recovery tool, covering WAL monitoring, LTX replication, cloud storage backends, and SQLite page management.
Extract high-quality audio from 1500+ websites, convert formats (MP3, FLAC, etc.), embed metadata and cover art, and batch process playlists using yt-dlp. Perfect for podcasts, music, and archival.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.
Generate professional markdown newsletters from localized events stored in SQLite. Automates event aggregation, curation, and formatting for community or niche media newsletters.
Debug package implementation guide for LobeHub. Provides standardized logging patterns, namespace conventions, and configuration for browser, Node.js, and Electron environments.
Download YouTube videos with customizable quality and format options. Supports video resolutions (360p-1080p), multiple containers (mp4, webm, mkv), and audio-only MP3 extraction.
Manage a 3-node Proxmox VE cluster (Matrix/Virgo-Core) including CEPH storage, VLAN networking, and automated VM provisioning via Python, Ansible, and Terraform.
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and IaC.
Production-grade testing strategy implementing feature flags, canary releases, synthetic monitoring, and chaos engineering for continuous reliability in live environments.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.