pi-planning-with-files

Create task_plan.md, findings.md, and progress.md to track complex tasks.

2|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/moshi-azz/moshiClaw-panel --skill pi-planning-with-files-moshi-azz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pi-planning-with-files
Source: https://github.com/moshi-azz/moshiClaw-panel/tree/main/data/skills/pi-planning-with-files
Command: npx skills add https://github.com/moshi-azz/moshiClaw-panel --skill pi-planning-with-files-moshi-azz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill aids in managing complex tasks by using persistent markdown files for planning, progress tracking, and knowledge storage, thus mitigating the issues of volatile memory and goal drift in AI agents.

Core Features & Use Cases

  • Persistent File-Based Planning: Organizes tasks using markdown files (task_plan.md, findings.md, progress.md), ensuring continuity across sessions.
  • Session Recovery: Allows recovery of the session state, preserving previous progress and decisions.
  • Task Management: Suitable for multi-step tasks, research tasks, and projects requiring detailed tracking.

Quick Start

Start planning for a new task by using the pi-planning-with-files skill. For example: "Use the pi-planning-with-files skill to help me with this task."

Frequently Asked Questions about pi-planning-with-files

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

FAQPage Schema
How do I maintain task progress across multiple sessions using markdown files?

You can maintain task progress across sessions by using persistent markdown files like task_plan.md, findings.md, and progress.md to store plans, research, and state, ensuring continuity and mitigating volatile memory loss.

What is the best way to recover my task plan after a session clear?

The best way to recover a task plan after a session clear is through file-based session recovery, which reads persistent markdown files to restore previous progress, decisions, and context automatically.

How does file-based planning prevent goal drift in multi-step research tasks?

File-based planning prevents goal drift in multi-step research tasks by documenting the original task plan and ongoing findings in markdown, providing a persistent reference point to anchor agent decisions and track deviations.

Do I need any external dependencies to use markdown files for task management?

No external dependencies are required to use markdown files for task management. The skill operates independently using standard markdown files to organize, track, and document complex multi-step tasks without additional packages.

When should I use persistent markdown files instead of relying on session memory?

You should use persistent markdown files instead of session memory for complex tasks with multiple steps, extensive research requirements, or when you need documentation that survives session resets and enables long-term progress tracking.

Can I track research findings and execution progress separately in a project?

Yes, you can track research findings and execution progress separately by using distinct markdown files: findings.md stores discovered knowledge while progress.md logs completed steps, keeping documentation organized and accessible.