planning-with-files

Organize multi-step work using persistent Markdown files as external memory.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/FairladyZ625/Obsidian-Brain-OS --skill planning-with-files-fairladyz625
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: planning-with-files
Source: https://github.com/FairladyZ625/Obsidian-Brain-OS/tree/main/skills/recommended/planning-with-files
Command: npx skills add https://github.com/FairladyZ625/Obsidian-Brain-OS --skill planning-with-files-fairladyz625

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many complex, multi-step tasks lose coherence as context grows and tool calls accumulate; this Skill provides a disciplined file-based workflow to keep goals, progress, and evidence consistent and easy to reference so decisions stay aligned with the original intent.

Core Features & Use Cases

  • Three-file pattern: Enforces a small set of persistent files (task_plan.md, notes.md, [deliverable].md) to separate goals, findings, and final output.
  • Read-before-decide loop: Regularly re-reads the plan to restore attention and avoid context drift during long-running tasks or repeated tool calls.
  • Error tracing and iteration: Encourages logging errors and decisions in the plan to support recovery and continuous improvement.
  • Use cases: Research summaries, multi-step feature development, bug triage and fixes, and any task requiring repeated external tool interactions.

Quick Start

Create a task_plan.md, record findings in notes.md, and update the deliverable file while re-reading task_plan.md before each major decision.

Frequently Asked Questions about planning-with-files

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

FAQPage Schema
How do I organize complex multi-step tasks using Markdown files?

Organize complex multi-step tasks using Markdown files by maintaining a task_plan.md for goals, notes.md for findings, and a final deliverable file. This file-based memory pattern separates objectives from evidence, preventing context drift during repeated tool calls.

What is file-based working memory for task management?

File-based working memory uses persistent Markdown files to store task goals, progress, and findings externally. This approach minimizes context usage while keeping decisions aligned with the original intent across long-running research or development tasks.

Why does my workflow lose coherence during long-running research tasks?

Workflows lose coherence because context grows and attention drifts as tool calls accumulate. A read-before-decide loop that regularly re-reads a task_plan.md file restores attention and keeps multi-step progress aligned with original goals.

How do I track progress and errors in a multi-step feature development workflow?

Track progress and errors by logging decisions and issues directly in a persistent task_plan.md file using checkbox edits. This error tracing and iteration approach supports recovery and continuous improvement throughout feature development.

When do I need a persistent Markdown plan for bug triage and fixes?

You need a persistent Markdown plan for bug triage when a task requires repeated external tool interactions and checkpointing. It stores large content on disk to minimize context while preserving findings in notes.md for recovery.