Multi-step autonomous plan execution with bounded iteration (max 10), state persistence, dependency checking, error retry with exponential backoff, and human escalation on failure. The "Ralph Wiggum loop" enables AI agents to execute complex multi-step plans autonomously while maintaining safety bounds and progress tracking. Includes MCP action invocation, step dependency validation, graceful error recovery, and comprehensive audit logging. Use when: (1) implementing autonomous multi-step task execution, (2) building plan execution engines with retry logic, (3) creating bounded loops with state persistence, (4) handling step dependencies in workflows, (5) implementing human escalation patterns for blocked tasks.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Multi-step autonomous plan execution with bounded iteration (max 10), state persistence, dependency checking, error retry with exponential backoff, and human escalation on failure. The "Ralph Wiggum loop" enables AI agents to execute complex multi-step plans autonomously while maintaining safety bounds and progress tracking. Includes MCP action invocation, step dependency validation, graceful error recovery, and comprehensive audit logging. Use when: (1) implementing autonomous multi-step task execution, (2) building plan execution engines with retry logic, (3) creating bounded loops with state persistence, (4) handling step dependencies in workflows, (5) implementing human escalation patterns for blocked tasks.
Quick start
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Multi-step autonomous plan execution with bounded iteration (max 10), state persistence, dependency checking, error retry with exponential backoff, and human escalation on failure. The "Ralph Wiggum loop" enables AI agents to execute complex multi-step plans autonomously while maintaining safety bounds and progress tracking. Includes MCP action invocation, step dependency validation, graceful error recovery, and comprehensive audit logging. Use when: (1) implementing autonomous multi-step task execution, (2) building plan execution engines with retry logic, (3) creating bounded loops with state persistence, (4) handling step dependencies in workflows, (5) implementing human escalation patterns for blocked tasks.
About this listing
Category
General
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.