Analyze user requests and generate structured Ralph Loop prompts for coding tasks.
npx skills add https://github.com/nalyk/nalyk-skills-demo --skill auto-ralph
Please help me install this Agent Skill. Skill: auto-ralph Source: https://github.com/nalyk/nalyk-skills-demo/tree/main/plugins/auto-ralph/skills/auto-ralph Command: npx skills add https://github.com/nalyk/nalyk-skills-demo --skill auto-ralph
Automates the planning and safe execution of complex coding tasks by analyzing user requests, detecting project context, and producing a structured Ralph Loop prompt.
Paste a user task in natural language and let the skill generate and present a Ralph Loop prompt for review before execution.
High-intent search queries and answers about installing and using this skill.
Structured prompt generation works by analyzing your natural language request, detecting project context, and producing a tailored Ralph Loop prompt for bugs, features, or refactors. It adapts to user language and project signals to ensure actionable and traceable task execution.
The Ralph Loop is a structured process for planning and safely executing complex coding tasks. It uses context detection, explicit triggers, max-iteration controls, and a completion promise to turn user requests into predictable, traceable automated actions.
Safe execution plans require applying explicit triggers, max-iteration controls, and a completion promise to your task analysis. This ensures predictable execution and traceability for codebase changes like refactoring and bug fixes before any code is altered.
Automated task analysis adapts across different programming languages and project types by detecting project context and user language signals. It processes natural language requests to generate tailored prompts for typical codebases without requiring manual configuration.
You need jq installed as a dependency because the skill relies on scripts and references that utilize jq for processing. This command-line JSON processor is required to parse data during context detection and prompt generation.
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