Quality Assurance Bundle
A collection of skills for automating and managing software testing, security, and validation processes.
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Included Skills (17)
- NVFLARE Shared Resources — Provides standardized templates and policy references to assist developers in maintaining consistency across various NVFLARE conversion and federated learning workflows.
- Implementing Container Image Minimal Base With Distroless — Reduces container attack surface by building application images on Google distroless base images that ship only the application runtime - no shell, package manager, or OS utilities - using multi-stage build patterns plus debugging and scanning techniques adapted to distroless. Use when hardening container images, cutting attack surface in a container architecture, or answering an assessment finding about bloated base images. Keywords: distroless, multi-stage build, no shell, nonroot tag, debug image, scratch, attack surface. Do not use for scanning an image for known CVEs - use scanning-docker-images-with-trivy.
- Project State Governor — Govern evidence-backed canonical project state across sessions, branches, reviews, and research cycles without inventing product intent.
- Teams Agent Developer — This skill assists developers in building, testing, and deploying Microsoft 365 agents and Teams applications using the ATK CLI and best practices.
- Tao Prepare Anomalygennext Inputs — Prepare normalized object-detection false negatives, source masks, and clean-image embedding inputs for AnomalyGenNext. Use when turning box-level FN gaps into a frozen, pair-preserving preparation plan. Do not use for training or generation.
- TDD Cycle Orchestrator — This skill guides developers through a rigorous red-green-refactor TDD workflow to ensure high-quality, test-covered code through strict, iterative development cycles.
- Supercov — Measure line, branch and MC/DC coverage of a project's existing tests with the supercov CLI, then write small, focused tests for the code no test reaches.
- Container Hardening — Secure Docker images and container runtime configurations.
- Context Efficiency Optimizer — This skill manages token budgets and prunes redundant context to help AI agents deliver concise, high-precision responses for complex development workflows.
- Stellar Multisig Coordinator — Manages cryptographic weights and quorum thresholds for secure Stellar multi-signature accounts.
- Commit — Prepare or create commits using Sentry-style message conventions when the repository requests them; inspect staged scope and honor its protected branch workflow.
- Container Security Hardener — This skill secures container images and runtime environments by implementing best practices for image hardening, vulnerability scanning, and robust Kubernetes pod security controls.
- Azure Resource Manager — Manages Microsoft Azure resources via command line, enabling developers and operators to automate Azure operations from the terminal.
- Hugging Face Vision Trainer — Train object detection, image classification, and SAM or SAM2 segmentation models locally or on Hugging Face Jobs, with dataset validation and results saved to the Hub.
- Requesting Code Review — Use when completing tasks, implementing major features, or before merging to verify work meets requirements
- Desktop Automation Agent — Develop vision-based AI agents that interact with desktop interfaces to perform complex tasks, helping developers automate GUI-based workflows and computer operations.
- TDD Workflow Manager — This skill assists developers in executing Conductor's TDD cycle, managing phase checkpoints, and ensuring quality through standardized git commits and verification protocols.