Orchestrate autonomous AI agents in persistent loops for iterative code refinement.
npx skills add https://github.com/frNNcs/.config --skill open-ralph-wiggum
Please help me install this Agent Skill. Skill: open-ralph-wiggum Source: https://github.com/frNNcs/.config/tree/main/opencode/skills/open-ralph-wiggum Command: npx skills add https://github.com/frNNcs/.config --skill open-ralph-wiggum
This Skill automates complex coding tasks by orchestrating AI agents in a persistent loop, iteratively refining code until completion is achieved.
Use the open-ralph-wiggum skill to fix all TypeScript errors and ensure tests pass by running ralph "Arregla todos los errores de TypeScript y asegúrate de que los tests pasen".
High-intent search queries and answers about installing and using this skill.
Yes, you can integrate local models using Ollama integration. This allows you to run autonomous code improvement loops locally, ensuring privacy while iteratively refactoring codebases or fixing TypeScript errors without relying on external APIs.
You can manage large projects using a checklist-based Tasks Mode. This feature breaks down complex feature implementations and comprehensive test generation into manageable steps, tracked via a real-time monitoring dashboard.
Yes, mid-loop adjustments are supported through context injection and agent rotation. This allows you to introduce diverse agent strategies and dynamically modify prompts while the autonomous code improvement loop is actively running.
The best way to automatically fix TypeScript errors is running an autonomous AI agent loop with a prompt specifying the error resolution and test passing requirements. The loop iteratively refines the code until completion is achieved.
nanocoaiConfigure NanoClaw agent groups to use local Ollama models via environment variables.
CyapstayeEnforce the Red-Green-Refactor cycle with failing tests before implementation.
huggingfaceLog, query, and visualize ML training metrics via Python API and CLI.
orchestra-mcpIntegrate LLMs, embeddings, RAG, and agent orchestration with multiple AI providers.
