Loading...
Loading...
Found 457 Skills
Create, generate, or scaffold .gitlab-ci.yml pipelines, stages, and jobs.
Integrate a raw customer agent repo with Veris end to end. Installs or verifies veris-cli, logs in, creates or reuses a Veris environment, analyzes the repo, generates or updates `.veris/veris.yaml`, `.veris/Dockerfile.sandbox`, `.veris/.dockerignore`, configures runtime env vars, and can finish with `veris env push`. Use when a repo has no Veris setup yet, or when an existing `.veris/` integration is stale and needs to be refreshed.
Expert in deploying, configuring, and using Hermes WebUI—a web interface for Hermes Agent with persistent memory, scheduled jobs, and multi-platform messaging.
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.
AI-powered autonomous penetration testing framework with multi-agent system, real security tool execution, and compliance reporting
Manage container registries (Docker Hub, ECR, GCR) with image scanning, retention policies, and access control.
Optimize CI/CD pipelines for speed, reliability, and efficiency. Use when improving build times, fixing pipeline failures, or enhancing deployment processes.
Multi-stage builds for optimized, minimal production images with build/runtime separation
Interact with the Apple Container CLI to manage containers, images, volumes, networks, and system services on macOS. Use this skill when the user asks to run, build, or inspect containers or manage the container runtime.
Professional Skills and Methodologies for Container Security Testing
ASGI server for Python web applications - Fast, production-ready server for async frameworks
Performs gap analysis on NVIDIA TAO Visual ChangeNet (VCN) Classify experiments by invoking the data-services container (`tao_toolkit.data_services` from `versions.yaml`) directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, auditing PASS/NO_PASS boundary cases, or running DEFT gap analysis on an AOI ChangeNet model.