work-plan

Capture project plans into trackable checkbox tasks for execution.

368|111|Updated Aug 30, 2025

Search Tags:#project management #workflow automation #resilience #task execution #plan tracking #ai companion

Ready to run

npx skills add https://github.com/Kiyoraka/Project-AI-MemoryCore --skill work-plan-kiyoraka

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: work-plan
Source: https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Work-Plan-Execution
Command: npx skills add https://github.com/Kiyoraka/Project-AI-MemoryCore --skill work-plan-kiyoraka

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill bridges the gap between planning and execution by ensuring that project plans are not lost after AI context resets, allowing for seamless continuation of tasks.

Core Features & Use Cases

Plan Capture & Execution: Converts AI-generated plans into trackable checkbox tasks.
Progress Tracking: Marks tasks as completed ([x]), pending ([ ]), or blocked ([~]).
Resilience to Resets: Recovers and resumes execution from the last checkpoint after any context loss.
Use Case: You've asked your AI to outline a new software feature. This Skill captures that outline, allows the AI to execute each step, and ensures that if the AI's memory is cleared, it can pick up exactly where it left off by reading the plan file.

Quick Start

Use the work-plan skill to resume the current project plan.

Frequently Asked Questions about work-plan

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

FAQPage Schema

How do I resume project execution after an AI context reset?▼

Project plan tracking captures AI-generated outlines into checkbox formats, marking tasks as completed, pending, or blocked. This ensures structured execution and allows the AI companion to maintain progress visibility throughout the project lifecycle.

How do I track task progress during workflow automation?▼

Task progress tracking is managed by marking checkbox items as completed, pending, or blocked within the plan file. This provides a persistent, file-based record of execution status that survives memory resets.

Do I need a core memory system to use plan tracking for AI tasks?▼

Yes, integrating with core memory systems is required to use this plan tracking capability. This integration enables the AI companion to properly execute tasks with per-task commit discipline and recover state after resets.

Can I automate version control when executing project plans?▼

You can automate version control during project plan execution by optionally integrating Auto-Commit. This works alongside the per-task commit discipline to manage code changes as each checkbox task is completed.

What is the best way to maintain per-task commit discipline in AI workflows?▼

The best way to maintain per-task commit discipline is converting plans into trackable checkbox tasks. The AI companion executes each step individually, committing changes per task while using the plan file for recovery if context is lost.