planning-with-files
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.
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill planning-with-files --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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-trivia
What does the planning-with-files skill do?
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.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill planning-with-files --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.