planning-with-files-zht

Create task_plan.md, findings.md, and progress.md files to track multi-step task progress.

1|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/Herxinsasa/Skills-Collector --skill planning-with-files-zht
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: planning-with-files-zht
Source: https://github.com/Herxinsasa/Skills-Collector/tree/main/planning-with-files/skills/planning-with-files-zht
Command: npx skills add https://github.com/Herxinsasa/Skills-Collector --skill planning-with-files-zht

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill eliminates context loss and progress tracking failures during complex, multi-step tasks that exceed the AI's attention window or span multiple sessions. It establishes a persistent file-based memory system using three core markdown files to maintain task state, research findings, and session logs.

Core Features & Use Cases

  • Structured Task Planning: Creates task_plan.md with phased milestones, status tracking, decision logs, and error history.
  • Findings Repository: Maintains findings.md to capture research discoveries, technical decisions, and multimodal insights from browser or visual analysis.
  • Progress Logging: Tracks session activity, test results, and operational history in progress.md.
  • Automatic Session Recovery: Detects unsynced context from previous sessions via session-catchup.py and prompts the user to restore state.
  • Use Case: Ideal for product analysis, complex project decomposition, bug investigation, or any task requiring more than five tool calls where manual context management becomes error-prone.

Quick Start

Use the planning-with-files-zht skill to manage your complex multi-step project by creating task_plan.md, findings.md, and progress.md files that automatically track progress and recover context across sessions.

Frequently Asked Questions about planning-with-files-zht

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

FAQPage Schema
How do I maintain context and track progress for complex multi-step tasks across multiple sessions?▼

Persistent file-based memory solves context loss by creating task_plan.md, findings.md, and progress.md files. These markdown files maintain task state, document research discoveries, and track session activity across multiple sessions.

How do I set up file-based project planning for complex workflows?▼

File-based project planning requires creating three markdown files: task_plan.md for phased milestones and status tracking, findings.md for research insights, and progress.md for session logs. These files automatically track progress and recover context.

When should I use markdown files for task management instead of relying on session context?▼

Markdown task management is needed for project planning, research tasks, or bug diagnosis requiring more than five tool calls. Manual context management becomes error-prone in these complex, multi-step workflows, making persistent file-based memory essential.

Does this file-based planning approach support automatic session recovery?▼

Automatic session recovery detects unsynced context from previous sessions using a dedicated script. It identifies missing state information and prompts the user to restore task progress, ensuring continuity across interrupted complex workflows.

Can I use this task management approach for bug investigation and diagnosis?▼

Bug investigation and diagnosis are ideal use cases for this task management approach. The system logs errors and documents technical decisions in markdown files, maintaining a clear history of diagnostic steps across multiple investigative sessions.