Skrillz

Systematic debugging using Claude, Gemini, and Codex as specialized agents. Multi-agent root cause analysis, log analysis, error classification, and auto-fix generation. Use when debugging production issues, analyzing error logs, performing root cause analysis, troubleshooting complex systems, or implementing self-healing patterns.

Systematic debugging using Claude, Gemini, and Codex as specialized agents. Multi-agent root cause analysis, log analysis, error classification, and auto-fix generation. Use when debugging production issues, analyzing error logs, performing root cause analysis, troubleshooting complex systems, or implementing self-healing patterns.

Production-ready code generation and incremental development using Explore-Plan-Code-Commit workflow. TDD-driven with <200 line changes, automatic rollback, and multi-agent coordination. Use when implementing features, refactoring code, migrating systems, or integrating components requiring rigorous testing and quality assurance.

Production-ready code generation and incremental development using Explore-Plan-Code-Commit workflow. TDD-driven with <200 line changes, automatic rollback, and multi-agent coordination. Use when implementing features, refactoring code, migrating systems, or integrating components requiring rigorous testing and quality assurance.

Create production-ready, agent-executable plans using verification-first approach, hierarchical decomposition, dependency mapping, and quality gates. Optional multi-AI research integration (Claude + Gemini + Codex). Use when planning complex features, migrations, refactorings, security implementations, or any multi-step agentic workflows requiring rigorous verification and parallel execution coordination.

Create production-ready, agent-executable plans using verification-first approach, hierarchical decomposition, dependency mapping, and quality gates. Optional multi-AI research integration (Claude + Gemini + Codex). Use when planning complex features, migrations, refactorings, security implementations, or any multi-step agentic workflows requiring rigorous verification and parallel execution coordination.

Comprehensive research and analysis using Claude (subagents), Gemini CLI, and Codex CLI. Multi-perspective research with cross-verification, iterative refinement, and 100% citation coverage. Use for security analysis, architecture research, code quality assessment, performance analysis, or any research requiring rigorous verification and multiple AI perspectives.

Comprehensive research and analysis using Claude (subagents), Gemini CLI, and Codex CLI. Multi-perspective research with cross-verification, iterative refinement, and 100% citation coverage. Use for security analysis, architecture research, code quality assessment, performance analysis, or any research requiring rigorous verification and multiple AI perspectives.

Meta-skill for building Claude Code skills using Multi-AI research, planning, and implementation. Coordinates Claude, Gemini, and Codex for comprehensive research, synthesizes findings, and generates production-ready skills. Use when creating new skills, enhancing existing skills, researching skill domains, or building skill families.

Meta-skill for building Claude Code skills using Multi-AI research, planning, and implementation. Coordinates Claude, Gemini, and Codex for comprehensive research, synthesizes findings, and generates production-ready skills. Use when creating new skills, enhancing existing skills, researching skill domains, or building skill families.

Test-driven development with independent verification to prevent test gaming. TDD workflows, test generation, coverage validation (≥80% gate, ≥95% target), property-based testing, edge case discovery. Use when implementing TDD workflows, generating comprehensive test suites, validating test coverage, or preventing test gaming through independent multi-agent verification.

Test-driven development with independent verification to prevent test gaming. TDD workflows, test generation, coverage validation (≥80% gate, ≥95% target), property-based testing, edge case discovery. Use when implementing TDD workflows, generating comprehensive test suites, validating test coverage, or preventing test gaming through independent multi-agent verification.

Multi-layer quality assurance with 5-layer verification pyramid (Rules → Functional → Visual → Integration → Quality Scoring). Independent verification with LLM-as-judge and Agent-as-a-Judge patterns. Score 0-100 with ≥90 threshold. Use when verifying code quality, security scanning, preventing test gaming, comprehensive QA, or ensuring production readiness through multi-layer validation.

Multi-layer quality assurance with 5-layer verification pyramid (Rules → Functional → Visual → Integration → Quality Scoring). Independent verification with LLM-as-judge and Agent-as-a-Judge patterns. Score 0-100 with ≥90 threshold. Use when verifying code quality, security scanning, preventing test gaming, comprehensive QA, or ensuring production readiness through multi-layer validation.

Configure Grafana alerts for Claude Code anomalies and thresholds. Use when setting up monitoring alerts for sessions, errors, context usage, or subagents.

Configure Grafana alerts for Claude Code anomalies and thresholds. Use when setting up monitoring alerts for sessions, errors, context usage, or subagents.

Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.

Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.

Manage observability stack lifecycle (start, stop, backup, restore, upgrade). Use when controlling the LGTM stack for Claude Code monitoring.

Manage observability stack lifecycle (start, stop, backup, restore, upgrade). Use when controlling the LGTM stack for Claude Code monitoring.