Agent Skills Hub

java-test

Executes Gradle-based Java tests, filters results for failures and key statistics, and provides concise reports to streamline backend development and debugging.

threat-modeling-ics

Performs end-to-end OT/ICS threat modeling using Microsoft TMT exports and model files, mapping threats to MITRE ATT&CK for ICS, CWE, and CVSS v4.0 with automated risk-based prioritization.

jenkins

Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.

doc-sync

Synchronizes and maintains CLAUDE.md and README.md documentation hierarchy across a repository to ensure consistent, just-in-time context for AI agents.

cicd-pipeline-qe-orchestrator

Orchestrate end-to-end quality engineering across CI/CD pipelines, from commit-stage unit testing and shift-left strategies to production-stage synthetic monitoring and compliance gates.

wt

Manage isolated LlamaFarm development environments using git worktrees for parallel agent sessions and service testing.

performance-security

Optimize React performance, implement security hardening, and ensure WCAG accessibility compliance with automated patterns and checklists.

neon-toolkit

Automates the lifecycle management of ephemeral Neon PostgreSQL databases for testing, CI/CD, and rapid prototyping workflows.

test-environment-management

Manage test infrastructure with IaC, Docker, and service virtualization. Optimize testing costs, ensure dev/prod environment parity, and automate environment provisioning for consistent, scalable software testing.

technical-audit

Technical SEO audit skill for crawlability, indexability, and Core Web Vitals analysis. Use to audit webpages, validate schema, and fix technical performance issues.

session-logs

Search, analyze, and audit GeminiClaw session logs and memory. Use to investigate past interactions, track token usage, debug tool calls, and monitor agent performance.

Swarm Orchestration

Orchestrate multi-agent swarms using agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Ideal for building distributed AI systems and scaling complex development workflows.