plan_creation

Generate structured JSON step-by-step plans for complex tasks.

5|Updated Aug 9, 2025
One-click install
npx skills add https://github.com/gatovillano/KogniTerm --skill plan-creation-gatovillano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan_creation
Source: https://github.com/gatovillano/KogniTerm/tree/main/kogniterm/skills/bundled/plan_creation
Command: npx skills add https://github.com/gatovillano/KogniTerm --skill plan-creation-gatovillano

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires langchain-core, and includes scripts (resource) components.

What problem does it solve?

Plan creation for complex tasks often lacks structure and a clear sequence of actions; this skill provides a reliable way to generate comprehensive, step-by-step plans and surfaces them to the user for confirmation before any action is taken.

Core Features & Use Cases

  • Generates detailed, runnable step-by-step plans for intricate tasks.
  • Presents the plan to the user for explicit confirmation prior to execution.
  • Outputs a structured JSON format including a plan title and an ordered list of executable steps.
  • Suitable for multi-phase projects, task orchestration, and workflow design across domains.

Quick Start

Proporciona un plan detallado y paso a paso para una tarea compleja y preséntalo para confirmación del usuario antes de la ejecución.

Frequently Asked Questions about plan_creation

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

FAQPage Schema
How do I generate a step-by-step plan for complex multi-phase projects?

Generate a step-by-step plan for complex projects by providing a task description to the plan creation skill, which outputs a structured JSON format with an ordered list of executable steps. This structured plan is then presented for your confirmation before execution.

Can I use langchain-core to automate task-management workflow design?

Yes, you can automate task-management workflow design using langchain-core as the backend. The skill requires an LLM backend to generate detailed, runnable workflows and orchestrates task sequences across domains like software development and operations.

What is the best way to structure an LLM-generated plan for user confirmation?

The best way to structure an LLM-generated plan for user confirmation is to output a structured JSON format containing a plan title and an ordered list of executable steps, ensuring the sequence is reviewed before any action is taken.

Do I need an LLM backend to create structured JSON plans for strategic initiatives?

Yes, you need an LLM backend to create structured JSON plans for strategic initiatives. The plan creation skill relies on a language model to process complex task descriptions and generate the detailed, multi-step workflow designs.

When should I not use automated plan generation for task orchestration?

You should not use automated plan generation for task orchestration when your project requires immediate execution without review, because this skill explicitly halts to present a structured JSON plan for user confirmation prior to taking any action.