Skill UI

Skill Sentinel audits and evolves a skills ecosystem by analyzing quality, security, cost, governance, documentation, dependencies, and cross-skill duplication, then generates health reports, recommendations, and orchestrates assessments for teams managing multiple automations.

This skill enables detection, response, and prevention of software supply chain attacks targeting package registries, container images, and CI/CD pipelines. It includes lockfile auditing, provenance verification using tools like Cosign and SLSA, and emergency response playbooks for compromised dependencies.

This skill identifies dependencies at heightened risk of exploitation or takeover by evaluating factors like maintainer activity, popularity, and security history. It generates a security report for supply chain attack surface assessment and pre-engagement scoping.

Create, manage and monitor systemd services and timer units on Linux. Covers unit file authoring, dependencies, socket activation, resource limits, security hardening, journalctl logs and production service debugging.

Create, assign, and update tasks in an AI team run so each work item has one owner and one deliverable. Tracks status, dependencies, and blockers without performing external actions.

Detects which APIs of a Python project's pinned dependencies changed after a coding model's training cutoff, locates the code using them, and writes short evidence-tagged notes into AGENTS.md or CLAUDE.md.

This skill inspects current product architecture, dependencies, and validation loops before planning or implementing changes. It reads documentation, tasks, and specs to trace dependencies and report risks. It performs read-only inspection and hands findings to planning or implementation tools for safe workflow integration.

uv is an extremely fast Python package installer and resolver written in Rust. This guide provides a comprehensive workflow for modern Python project management and dependency handling. Use this skill to set up new projects quickly, manage dependencies much faster than traditional tools like pip, resolve complex conflicts, and optimize CI/CD pipelines, especially when dealing with monorepos or needing reproducible builds.

Scan systems and dependencies for CVEs and security vulnerabilities using industry-standard tools like Nessus, OpenVAS, and Nuclei. Supports Docker deployment, API integration, and template-based scanning for infrastructure and application security assessments. Requires authorized scope and explicit permission before execution.

FlowKit is a Python library for analyzing flow cytometry data. It supports spillover compensation, logicle transforms, hierarchical gating, and GatingML strategies. Users can reproduce FlowJo 10 workspace analyses, generate reproducible gate counts, population percentages, and fluorescence summaries. Requires Python 3.13 and specific dependencies for scientific computing.

Audits codebase architecture by mapping module dependencies, checking layering integrity, detecting circular imports, and flagging structural decay using twelve classic engineering books. Also supports onboarding codebase tours.