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Iterative development loop for solving complex tasks through trial-and-error. Use when you need to "fix until passing", "optimize until metric reached", or "iterate until done".
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Based on SOC occupation classification
Analyze agent session transcripts to find looping behavior, missing capabilities, or token waste, and leverage framework-native concepts and skill-creator patterns to propose optimizations.
Build multi-agent systems using Google ADK with A2A protocol, deployed on Agent Engine. Use when creating agents that communicate via A2A, building multi-tier agent hierarchies, connecting ADK agents with RemoteA2aAgent, exposing agents with to_a2a(), or deploying agent stacks to Vertex AI Agent Engine. Covers leaf agents with tools, functional agents that delegate, orchestrators that route, local testing with uvicorn, and phased cloud deployment.
Build AI agents using Google's Agent Development Kit (ADK). Use when creating LLM agents with tools, building workflow agents (Sequential, Parallel, Loop), composing multi-agent systems, or developing custom agents. Covers agent creation patterns, function tools, agent configuration, session management, and running agents locally with CLI or web interface.
Deploy and manage AI agents on Vertex AI Agent Engine. Use when deploying ADK agents to production, configuring Agent Engine runtime, managing deployed agents, setting up sessions and memory, or integrating with A2A protocol. Covers deployment from agent objects and source files, environment configuration, scaling, sessions, memory bank, and agent management operations.
Sprint-based agile development with parallel agent execution. Use when the user wants to run an agile sprint, plan sprint work, conduct standups, run retrospectives, manage a backlog, estimate story points, track velocity, or coordinate parallel development across multiple agents acting as Scrum team roles (Scrum Master, Product Owner, Tech Lead, Frontend Dev, Backend Dev, QA Engineer). Also use when the user mentions sprints, user stories, acceptance criteria, definition of done, kanban, or SAFe. Triggers on: 'run a sprint', 'sprint planning', 'standup', 'retrospective', 'backlog grooming', 'agile workflow', 'scrum team'.
Clarify requirements before implementing. Use when serious doubts araise.
| name | ralph-wiggum |
| description | Iterative development loop for solving complex tasks through trial-and-error. Use when you need to "fix until passing", "optimize until metric reached", or "iterate until done". |
This skill defines a disciplined iterative loop for solving stubborn problems.
When you enter a "Ralph Loop", you commit to the following process:
Copy this into your scratchpad.md or keep it in your context to track progress.
# Ralph Loop Tracking
**Goal**: [Describe Goal]
**Completion Promise**: [Exact condition to stop]
**Max Iterations**: [Number]
## Iteration 1
- **Plan**: [What to do]
- **Action**: [Tool call]
- **Result**: [Outcome]
- **Status**: [PASSED / FAILED / PROGRESS]
## Iteration 2
...
See assets/loop_template.md for a raw template.
Some tools and CLI utilities implement the Ralph Wiggum visual or trial-and-error loop out-of-the-box. For example, the paperbanana CLI uses this loop to generate and visually critique architecture diagrams iteratively until they are accepted. Try leveraging these native loops whenever possible before manually executing the steps.