Persist task plans, findings, and progress in Markdown files.
npx skills add https://github.com/cvenwu/AiFlow --skill planning-with-files-cvenwu
Please help me install this Agent Skill. Skill: planning-with-files Source: https://github.com/cvenwu/AiFlow/tree/main/skills/planning-with-files Command: npx skills add https://github.com/cvenwu/AiFlow --skill planning-with-files-cvenwu
Manus-style file-based planning keeps long-running tasks coherent by persisting goals, findings, and progress in three Markdown files, enabling seamless recovery across sessions.
Initialize planning files for a project using the included init-session script, then begin Phase 1 and update task_plan.md as you progress.
High-intent search queries and answers about installing and using this skill.
Persistent task planning stores goals, findings, and progress in Markdown files like task_plan.md, findings.md, and progress.md, enabling seamless recovery and auditability for long-running multi-step workflows across sessions.
Managing multi-phase project workflows with on-disk files involves tracking over five phases using structured Markdown templates and scripts to initialize, update, and recover planning state for easy resumption.
Yes, Markdown templates automate task management for complex research tasks by providing structured files for goals and session logs, with optional automation hooks that read the plan before tool use and log progress.
Yes, file-based planning requires a local project directory to store and update the persistent on-disk plan, utilizing included templates and scripts to initialize the planning state before beginning the first phase.
File-based task planning is ideal for long-running, multi-step projects, research tasks, and multi-tool workflows where recovery across sessions is essential and auditability of progress logs is required.
File-based planning separates concerns across three Markdown files: task_plan.md structures goals, findings.md captures research, and progress.md logs sessions, ensuring coherent state management and easy resumption.
OthmanAdiStore planning artifacts in task_plan.md, findings.md, and progress.md files.
wsxwj123Maintain task_plan.md, findings.md, and progress.md for multi-phase task management.
pkkingMaintain task_plan.md, findings.md, and progress.md for multi-step task planning.
dorgonmanManage local-first backlogs across products with Python CLI scripts.
