Skill UI

Automates the entire Continuous Integration (CI) workflow, crucial before opening a Pull Request (PR). It systematically runs local unit tests for multiple languages (Python, Node, Rust), performs type checking, pushes the current branch to the remote repository, and finally provides the direct URL and status check for the CI platform (GitHub Actions/GitLab). This single command replaces multiple manual steps.

This expert, interactive assistant provides comprehensive troubleshooting for complex issues encountered with Claude Code. It systematically scans the user's environment, checks global and project configurations, and cross-references symptoms against a deep knowledge base to pinpoint root causes and provide actionable, step-by-step solutions. Ideal for resolving integration errors, permission issues, or unexpected behavior.

This skill implements an advanced reference pattern for integrating with Monitoring Control Platform (MCP) servers. It ensures accurate data retrieval by first reading a domain-specific 'gotchas' reference file, mitigating query failures caused by complex server behaviors, pagination limits, or subtle API quirks. It analyzes issue data, groups errors by root cause, and generates a structured, actionable markdown report for improved system health visibility.

This methodology guides the development of new features, product slices, or integrations while mitigating the risk of overbuilding. It mandates an architecture-first approach, requiring the definition of clear acceptance criteria and explicit non-goals. The process focuses on delivering a coherent end-to-end path across responsible system layers, omitting unnecessary configuration, polish, or complexity, and halting immediately upon successful acceptance testing.

A comprehensive methodology for offensive security, detailing how to systematically extract secrets from Continuous Integration/Continuous Deployment (CI/CD) pipelines. Techniques covered include dumping environment variables, exploiting misconfigurations in HashiCorp Vault, AWS Secrets Manager, and cloud platform tokens (GitHub, GitLab, etc.). It also guides attackers on OIDC federation abuse, build log analysis, and advanced exfiltration methods, mapping to MITRE ATT&CK T1552.

This document defines the critical architectural contract for standardizing advisory transport across diverse AI code review runtimes (e.g., Claude Code, OpenCode, Codex). It mandates that all integrations adhere to a shared Go contract, governing how review results, evidence, and validation are processed. This is essential for ensuring system integrity, managing architectural transitions, and preventing the creation of isolated, proprietary review systems.

A comprehensive workflow for building autonomous AI agents, multi-agent systems, and orchestration patterns using frameworks like CrewAI and LangGraph. Covers agent design, implementation, tool integration, memory systems, and evaluation to create robust intelligent applications.

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.

Set up effective alerting rules, configure on-call rotations, and manage incident response workflows for production systems. Covers Prometheus alerting, Alertmanager routing, PagerDuty integration, and alert design best practices.

Designs event-driven architectures, webhook systems, API chaining flows, ETL pipelines, and integration patterns between services.

This skill specializes in creating realistic mock services for development, testing, and demonstration purposes. It simulates real API behavior to enable parallel development and facilitate thorough testing. Use it for building mock APIs for frontend or integration testing, simulating partner APIs, creating demo environments, and validating API contracts before backend completion. Avoid using for production systems or security testing.

Comprehensive guidance for writing unit tests for shell scripts using Bats (Bash Automated Testing System). Covers test patterns, fixtures, best practices, and CI/CD integration for production-grade shell testing.