recipe-task

Name: recipe-task
Availability: InStock
Author: shinpr

Automate multi-step task execution with metacognitive guidance and rule-based control.

29|4|Updated Mar 17, 2026

Search Tags:#automation #planning #metacognition #task-execution #agent-workflows #rule-selection

Ready to run

npx skills add https://github.com/shinpr/codex-workflows --skill recipe-task-shinpr

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: recipe-task
Source: https://github.com/shinpr/codex-workflows/tree/main/.agents/skills/recipe-task
Command: npx skills add https://github.com/shinpr/codex-workflows --skill recipe-task-shinpr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates complex task execution by guiding decisions through metacognitive analysis and a structured rule-selection process.

Core Features & Use Cases

Metacognitive guidance for task essence and planning.
Rule-advisor-driven execution with traceable steps.
Guardrails for safe and deterministic task progression.
Use Case: orchestrate multi-step AI agent workflows that require explicit rule selection before action.

Quick Start

Instruct the system to manage a task by invoking $recipe-task with a clear objective.

Frequently Asked Questions about recipe-task

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate multi-step AI agent workflows with explicit rule selection?▼

Automate multi-step AI agent workflows by applying metacognitive analysis and rule-based control. The system uses a rule-advisor output and enforced task structure to guide decisions, ensuring traceable and deterministic execution across diverse domains.

What is metacognitive analysis for task execution automation?▼

Metacognitive analysis for task execution is a mechanism that guides planning and task essence extraction before an AI agent acts. It pairs with rule-advisor outputs to enforce structured, safe, and deterministic progression.

How do I ensure deterministic execution in complex task planning scenarios?▼

Ensure deterministic execution in complex task planning scenarios by using enforced task structure and guardrails. The system requires a rule-advisor output to select and apply rules before acting, preventing unpredictable agent behavior.

Can I use rule-based control for AI agents across diverse domains?▼

Yes, you can use rule-based control for AI agents across diverse domains. The system applies rule-selection processes and metacognitive guidance to orchestrate multi-step workflows, adapting to different domain requirements while maintaining traceable steps.

Why does task automation require a rule-advisor output and metaCognitiveGuidance?▼

Task automation requires a rule-advisor output and metaCognitiveGuidance to guarantee safe and traceable task progression. These elements force the AI agent to select appropriate rules and analyze the task essence before executing actions.