planning-with-files

Solid

Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.

AI & Automation 4,293 stars 375 forks Updated 6 days ago MIT

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Quality Score: 96/100

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Description 5%
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Skill Content

# Planning with Files Work like Manus: Use persistent markdown files as your "working memory on disk." ## Quick Start Before ANY complex task: 1. **Create `task_plan.md`** in the working directory 2. **Define phases** with checkboxes 3. **Update after each phase** - mark [x] and change status 4. **Read before deciding** - refresh goals in attention window ## The 3-File Pattern For every non-trivial task, create THREE files: | File | Purpose | When to Update | |------|---------|----------------| | `task_plan.md` | Track phases and progress | After each phase | | `notes.md` | Store findings and research | During research | | `[deliverable].md` | Final output | At completion | ## Core Workflow ``` Loop 1: Create task_plan.md with goal and phases Loop 2: Research → save to notes.md → update task_plan.md Loop 3: Read notes.md → create deliverable → update task_plan.md Loop 4: Deliver final output ``` ### The Loop in Detail **Before each major action:** ```bash Read task_plan.md # Refresh goals in attention window ``` **After each phase:** ```bash Edit task_plan.md # Mark [x], update status ``` **When storing information:** ```bash Write notes.md # Don't stuff context, store in file ``` ## task_plan.md Template Create this file FIRST for any complex task: ```markdown # Task Plan: [Brief Description] ## Goal [One sentence describing the end state] ## Phases - [ ] Phase 1: Plan and setup - [ ] Phase 2: Research/gather information - [ ] Phase 3: Execute/build -...

Details

Author
Galaxy-Dawn
Repository
Galaxy-Dawn/claude-scholar
Created
4 months ago
Last Updated
6 days ago
Language
Python
License
MIT

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