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Found 430 Skills
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
Professional prompt engineering, context engineering, and AI agent orchestration for coding agents (Claude Code, Codex, Cursor, Gemini CLI). Use when designing CLAUDE.md/AGENTS.md files, writing skills, planning multi-agent pipelines, optimizing token usage, managing session handoffs, or structuring any prompt for maximum agent performance. Do NOT use for general coding tasks or code review.
Evolution API integration for WhatsApp messaging, instance management, webhooks, and chatbot orchestration. Use when: (1) Creating or managing WhatsApp instances via Evolution API, (2) Sending messages (text, media, audio, lists, buttons, reactions), (3) Configuring webhooks or event listeners, (4) Managing groups or contacts, (5) Integrating with Typebot, Chatwoot, Dify, or OpenAI through Evolution API. Triggers on: evolution-api, evolution api, whatsapp api, baileys, whatsapp integration, send whatsapp, whatsapp webhook.
Multi-technique business analysis orchestration using BABOK. Coordinates 14 techniques across strategic analysis, problem solving, planning, and design into comprehensive analysis packages.
AI Agent Orchestration Dashboard for managing AI agents, tasks, and multi-agent collaboration via OpenClaw Gateway
Adds .NET Aspire cloud-native orchestration to existing .NET solutions. Analyzes solution structure to identify services (APIs, web apps, workers), creates AppHost and ServiceDefaults projects, configures service discovery, adds NuGet packages, and sets up distributed application orchestration. Use when adding Aspire to .NET solutions or creating new cloud-ready distributed applications.
Create isolated Neon database branches for testing. Schema-only branches with auto-cleanup via TTL, test server orchestration, and environment variable management.
Multi-agent orchestration and state management.
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
Senior Architect for @google/genai v1.35.0+. Specialist in Structured Intelligence, Context Caching, and Agentic Orchestration in 2026.
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
Python DAG workflow orchestration using Apache Airflow for data pipelines, ETL processes, and scheduled task automation