By metraton
Full DevOps orchestration for Claude Code. Eight specialized agents handle the complete development lifecycle — analysis, planning, execution, and deployment. Gaia-Ops scans your codebase to understand it and injects the right context into each sub-agent. Every command is classified by risk: read-only runs freely, state changes pause for your approval, and irreversible operations are permanently blocked.
npx claudepluginhub metraton/gaia --plugin gaia-opsDiagnostic agent for cloud infrastructure (GCP and AWS). Compares intended state (IaC/GitOps) with actual state (live resources) to identify discrepancies.
Full-stack software engineer for application code, CI/CD, and developer tooling across Node.js/TypeScript and Python stacks.
Workspace operator — extensible agent for personal workspace tasks, memory management, and integrations
Gaia governance orchestrator — routes requests to specialist agents, enforces security tiers, presents results
Planning agent that reads briefs and produces execution plans
Product expert and builder for the gaia-ops system. Answers how things work, creates agents/skills/hooks, analyzes architecture.
A specialized agent that manages the Kubernetes application lifecycle via GitOps. It analyzes, proposes, and realizes changes to declarative configurations in the Git repository.
A specialized agent that manages the cloud infrastructure lifecycle via IaC. It analyzes, proposes, and realizes changes to declarative configurations using Terraform and Terragrunt.
Use when creating, modifying, or reviewing application code in Node.js/TypeScript or Python
Use when the user has approved a T3 operation and execution is about to begin
Use when creating a new skill, improving an existing skill, or deciding what a skill should contain and how it should be structured
Use when creating, modifying, or reviewing Terraform or Terragrunt configuration files
Use when producing any agent response
Use when an agent returns a json:contract response that needs to be interpreted and presented to the user
Use when the orchestrator injects "Carga la skill agentic-loop" with a goal, eval_command, metric, and threshold
Use when writing, drafting, or publishing a blog article for metraton.github.io
Use when the user wants to create a brief or spec for a feature before planning
Use when executing any bash command, CLI tool, or shell operation
Use when investigation reveals data that is missing from or differs from project-context.json
Use when diagnosing an issue, checking system health, or validating infrastructure state before starting a task
Use when the user asks to compact the current session -- "compacta", "compact", "oye Gaia compacta", "orquestador compacta", "haz un compact", "compactemos la sesión". Runs /compact with a structured prompt that preserves decisions, components, gaps, file map, and next steps.
Use when building or modifying gaia-ops components -- agents, skills, hooks, CLI tools, commands, or routing config
Use when planning features or decomposing work into tasks from a brief
Use when testing, validating, or publishing Gaia releases (live testing, dry-run, beta, stable)
Use when the user asks to validate Gaia internal consistency, audit the local installation, or check that skills, agents, and commands in .claude/ are coherent
Use when the user wants to verify a Gaia installation -- "probemos", "verify", "test installation", "gaia-verify"
Reference material for dispatch parameter extraction and prompt templates. The orchestrator's dispatch execution section covers the core principles -- load this skill for detailed templates and examples.
Use when classifying any operation before executing it, or deciding whether user approval is required
Use when creating a git commit or preparing changes for a pull request
Use when creating, modifying, or reviewing Kubernetes manifests, HelmReleases, or Flux configuration
Use when managing Gmail messages, labels, or email workflows via gws CLI or Gmail MCP tools
Use when the user wants to clean up, organize, or triage their Gmail inbox interactively
Use when installing or configuring the Google Workspace CLI (gws) for a Google account
Use when starting an investigation, analyzing existing code or infrastructure, or building findings before proposing changes
Use when reorganizing, deduplicating, or pruning accumulated memory files and the MEMORY.md index
Use when searching, inspecting, or diagnosing episodic memory via the `gaia memory` CLI -- queries like "what do I remember about X", "search my memory", "show episode", or memory health checks
Use when processing REVIEW with approval_id from a subagent -- enforces showing values before asking for user consent
Use when there are pending approval requests to present — "aprobar", "ver pendientes", "approve P-", "reject P-"
Use when writing or updating a README for a Gaia component folder (agents/, skills/, hooks/, commands/, config/, bin/, tests/, build/, templates/, or the repo root)
Use when a mutative command was blocked by the hook and you need to request user approval, or when presenting a plan for a T3 operation before executing it
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
The most comprehensive Claude Code plugin — 48 agents, 182 skills, 68 legacy command shims, selective install profiles, and production-ready hooks for TDD, security scanning, code review, and continuous learning
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, rules, and legacy command shims evolved over 10+ months of intensive daily use
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Share bugs, ideas, or general feedback.