celery-expert
Expert in Celery for distributed task queue management, optimizing task execution, and ensuring robust Celery deployments.
Expert in Celery for distributed task queue management, optimizing task execution, and ensuring robust Celery deployments.
Your approach to handling backend async operations. Use this skill when working on files where backend async operations comes into play.
Intelligent workflow orchestrator that analyzes user requirements, recommends an appropriate workflow, and executes speckit agents in sequence.
Infrastructure, observability, and autoscaling guidelines for RawDrive. Use when working with Traefik, KEDA, Prometheus, Kafka, Kubernetes, or Docker configurations.
Orchestrator agent that coordinates all BarqNet specialized agents (backend, integration, client, documentation, audit, testing) to execute complete end-to-end workflows. Plans multi-agent deployments, manages task dependencies, tracks progress across all platforms, and ensures comprehensive completion. Use for complex multi-component tasks, full-stack features, or production deployments.
Complex task decomposition and workflow orchestration specialist. Use PROACTIVELY for multi-step projects, ChromaDB integration, semantic search architecture, tool/agent coordination, and knowledge base design. (project)
Comprehensive diagnostic tool for troubleshooting OADP/Velero backup and restore problems with automated checks and recommendations.
Python specialist for Faiston One Platform. Use when writing FastAPI endpoints, Google ADK agents, async patterns, Pydantic models, and Lambda handlers. PROACTIVE for code review and refactoring.
Expert guidance for creating, implementing, and troubleshooting Sync Jobs in the Frappe Tweaks framework. Use when working with Sync Job Types, Sync Job controllers, sync job enqueueing, debugging sync job issues, implementing sync logic, or understanding sync job lifecycle and hooks.
Expert knowledge of Claude Code CLI tools (Read, Write, Edit, Bash, Grep, Glob, Task, MCP), features (Skills, Checkpoints, Hooks), and best practices for agentic coding assistance
Documentation for Kubernetes Agent Sandbox - a CRD-based system for managing isolated AI agent execution environments. Use for queries about Sandbox CRDs (Sandbox, SandboxTemplate, SandboxClaim, SandboxWarmPool), Python SDK (SandboxClient, SandboxRouter, ComputerUseExtension), network policies, security configurations, and implementation examples. Keywords kubernetes sandbox, agent sandbox, CRD, python sdk, agentic-sandbox-client, isolated environment, gvisor, network policy.
Terminal session manager for AI coding agents. Use when user mentions "agent-deck", "session", "sub-agent", "MCP attach", or needs to (1) create/start/stop/restart/fork sessions, (2) attach/detach MCPs, (3) manage groups/profiles, (4) get session output, (5) configure agent-deck, (6) troubleshoot issues, or (7) launch sub-agents. Covers CLI commands, TUI shortcuts, config.toml options, and automation.
Real-time observability dashboard for multi-agent Claude Code sessions. Visualize agent interactions, tool usage, and session flows in real-time through a web dashboard. Track multiple agents running in parallel with swim lane visualization, event filtering, and live charts. USE WHEN user says 'start observability', 'agent dashboard', 'monitor agents', 'watch agent activity', 'multi-agent monitoring', 'track subagents', or needs to debug multi-agent workflows. **Key Features:** - 🔴 Real-time event streaming via WebSocket - 📊 Agent swim lanes showing parallel execution - 🔍 Event filtering by agent, session, event type - 📈 Live charts for tool usage patterns - 💾 Filesystem-based (no database required) **Inspired by [@indydevdan](https://github.com/indydevdan)**'s work on multi-agent observability. **Our approach:** Filesystem + in-memory streaming vs. indydevdan's SQLite database approach.
Protocol for orchestrating multi-agent missions using Google Workspace and Gemini reasoning.
Claude Code Agents system, task delegation patterns, and multi-agent coordination. Use when creating custom agents, managing agent workflows, or implementing task delegation.
Expert guide for creating, configuring, and managing Opencode Agents. Use this skill when the user wants to create a new agent or modify an existing one.
Audits and optimizes context, memory, and skill use for projects. Reviews CLAUDE.md files, .claude/rules/, and skill configurations for efficiency. Use when context feels bloated, skills aren't triggering correctly, or memory needs organization.
Branch skill for building and improving hooks. Use when creating new hooks, adapting marketplace hooks, validating hook structure, writing hook scripts, or improving existing hooks. Triggers: 'create hook', 'improve hook', 'validate hook', 'fix hook', 'PreToolUse', 'PostToolUse', 'Stop hook', 'hook script', 'adapt hook', 'prompt hook', 'command hook'.
This skill should be used when the user asks about "MAS production", "agent observability", "MAS cost optimization", "agent monitoring", "multi-agent governance", "MAS compliance", "token budget", "ops runbook", "incident response", "MAS alerting", or is preparing a multi-agent system for production deployment. Covers cost, observability, governance, compliance, and operational procedures.
Coolify API expert for self-hosted PaaS management. Use when users need to deploy apps, manage databases, or configure servers on Coolify.
Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orchestrating specialized agents, or implementing complex workflows.
Audit tool integrations for deterministic behavior, error contracts, and logging before agents depend on them. Use when adding or updating tools or MCP servers.