Orchestrate a task across multiple AI models/providers. Define a team of agents with different roles, providers, and models. Each agent handles a phase (planning, execution, auditing, etc.) and results are combined. (/multi-agent, orchestrate, multi-model, team).
Five-level autonomous self-healing system for OpenClaw Gateway with preflight config validation, persistent learning, reasoning logs, and multi-channel alerts. Features Claude Code as the Level 3 emergency doctor for AI-powered diagnosis and repair.
Use this skill immediately after any CIGE test run completes — pass or fail — and before any repair action is taken. It classifies the outcome and names which skill, if any, is allowed to act on it. Classification is not optional and not skippable: no agent may repair a test it has not been dispatched to.
Invoked by cige-failure-classification when a run is classified as a Product Defect: execution reached the system under test, the environment is healthy, execution steps are current — but the outcome does not match Intent.
Use this skill when writing, reviewing, or refactoring AI agent test cases. It enforces the CIGE standard — a structured format that separates stable test intent from adaptive execution, enabling self-healing agentic tests.
Use when a Bright Data Scraper Studio collector returns wrong, empty, or partial data and needs repairing — detect what broke, write a heal brief, and decide whether the proposed fix earns a commit. Also use before creating a custom collector, to check whether Bright Data already ships one. Triggers on "scraper…