planning-with-files

Plan and track complex projects using persistent Markdown files.

14|2|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/pyinx/ceo-skills-plugin --skill planning-with-files-pyinx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: planning-with-files
Source: https://github.com/pyinx/ceo-skills-plugin/tree/main/skills/planning-with-files
Command: npx skills add https://github.com/pyinx/ceo-skills-plugin --skill planning-with-files-pyinx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Planning and executing complex, multi-step tasks becomes chaotic without a structured memory. This Skill uses Manus-style persistent Markdown files to organize goals, track progress, and store research and deliverables across the task lifecycle.

Core Features & Use Cases

  • 3-file pattern (task_plan.md, notes.md, [deliverable].md) to separate planning, research, and output.
  • Loop-driven workflow: plan, research, synthesize, deliver with explicit status updates.
  • Always read plan before decisions to refresh goals and avoid drift.

Quick Start

Create task_plan.md in your working directory and outline your goal and phases before starting any complex task.

Frequently Asked Questions about planning-with-files

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

FAQPage Schema
How do I track complex multi-phase tasks using markdown files?

Avoid goal drift in long workflows by enforcing a loop-driven process: always read task_plan.md before making decisions. This refreshes your goals and phases, ensuring research and synthesis stay aligned with the original deliverable requirements.

What is the best way to structure project planning and note-taking for deliverable-driven workflows?

The best way to structure deliverable-driven workflows is using persistent markdown files. Create task_plan.md to outline your goal and phases, use notes.md for research, and compile final outputs into a dedicated deliverable file.

Can I use markdown memory for research tasks and versioned outputs?

Yes, markdown memory works well for research tasks and versioned outputs. The workflow separates ongoing research notes from final deliverables, updating phase statuses in task_plan.md to track progress across the entire task lifecycle.

When do I need a 3-file markdown pattern for task planning?

You need a 3-file markdown pattern when planning complex, multi-step tasks like multi-phase development or extensive research. It provides persistent external memory to organize goals, track progress, and store deliverables without chaos.