planning-with-files

Store task plans, findings, and progress in markdown files for session recovery.

Updated May 25, 2026

Search Tags:#planning #markdown #research #task management #coding

Ready to run

npx skills add https://github.com/ngquaanghuy/Crypto --skill planning-with-files-ngquaanghuy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: planning-with-files
Source: https://github.com/ngquaanghuy/Crypto/tree/main/.agents/skills/planning-with-files
Command: npx skills add https://github.com/ngquaanghuy/Crypto --skill planning-with-files-ngquaanghuy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides persistent file-based planning for AI coding agents, ensuring work survives context loss and /clear commands. It's useful for organizing complex projects, research tasks, or any work requiring multiple tool calls.

Core Features & Use Cases

Persistent Planning: Stores task plans, findings, and progress in markdown files, allowing continuous work sessions.
Session Recovery: Automatically recovers session context after /clear commands.
Multi-step Projects: Ideal for planning and executing multi-step projects, research tasks, or any complex work.
Use Case: When planning a research project, use this Skill to create a task plan, document findings, and track progress in markdown files.

Quick Start

To get started, create a task plan in 'task_plan.md', 'findings.md', and 'progress.md' using the provided templates. Before starting a complex task, read the plan to refresh your goals and update the files after each phase.

Frequently Asked Questions about planning-with-files

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

FAQPage Schema

How do I maintain persistent task plans for AI coding agents across context loss?▼

Maintain persistent task plans for AI coding agents by storing task plans, findings, and progress in markdown files. This ensures your work survives context loss and /clear commands, allowing continuous work sessions across complex projects.

What's the best way to recover AI agent session context after a clear command?▼

Recover AI agent session context after a clear command by reading previously saved markdown planning files. The Skill automatically recovers session context by referencing the task_plan.md, findings.md, and progress.md files to refresh goals and restore state.

How do I track progress for multi-step coding projects using markdown files?▼

Track progress for multi-step coding projects using markdown files by updating progress.md and findings.md after each phase. This file-based planning approach documents findings and monitors task completion for any complex work requiring multiple tool calls.

Do I need scripting capabilities to use markdown-based planning for AI coding agents?▼

Yes, you need scripting capabilities and markdown files to use markdown-based planning for AI coding agents. Scripting is required to automate session recovery, apply task plans, and execute progress updates for complex project workflows.

When should I use file-based planning instead of relying on AI agent context windows?▼

Use file-based planning instead of relying on AI agent context windows when organizing complex projects, research tasks, or any work requiring multiple tool calls. It prevents work loss during context limits and supports long-term multi-step project execution.

Does planning-with-files work for managing research tasks and documenting findings?▼

Yes, planning-with-files works for managing research tasks and documenting findings. It creates structured task plans, stores research findings, and tracks progress in markdown files, making it ideal for planning and executing multi-step research projects.