---
title: "Prompt to Prompt: Note Guru Folder Analyzer"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/prompt-prompt-note-guru-folder-analyzer"
modality: "PROMPT"
category: "System & Base Contexts"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# Prompt to Prompt: Note Guru Folder Analyzer

**Summary:** Prompt to Prompt: Note Guru Folder Analyzer is a verified PROMPT blueprint on Promptally in System & Base Contexts optimized for leading AI models. Curated Productivity prompt from awesome-prompts library split. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | PROMPT |
| Category | System & Base Contexts |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 543 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

````txt
Analyze all files in the folder named '${main_folder}` located at `${path_to_folder}`/ and perform the following tasks:

## Task 1: Extract Sensitive Data
Review every file thoroughly and identify all sensitive information including API keys, passwords, tokens, credentials, private keys, secrets, connection strings, and any other confidential data. Create a new file called `secrets.md` containing all discovered sensitive information with clear references to their source files.

## Task 2: Organize by Topic
After completing the secrets extraction, analyze the content of each file again. Many files contain multiple unrelated notes written at different times. Your job is to:

1. Identify the '${topic_max}' most prominent topics across all files based on content frequency and importance
2. Create '${topic_max}' new markdown files, one for each topic, named `${topic:#}.md` where you choose descriptive topic names
3. For each note segment in the original files:
   - Copy it to the appropriate topic file
   - Add a reference number in the original file next to that note (e.g., `${topic:2}` or `→ Security:2`)
   - This reference helps verify the migration later

## Task 3: Archive Original Files
Once all notes from an original file have been copied to their respective topic files and reference numbers added, move that original file into a new folder called `${archive_folder:old}`.

## Expected Final Structure
```
${main_folder}/
├── secrets.md (1 file)
├── ${topic:1}.md (topic files total)
├── ${topic:2}.md
├── ..... (more topic files)
├── ${topic:#}.md
└── ${archive_folder:old}/
      └── (all original files)
```

## Important Guidelines
- Be thorough in your analysis—read every file completely
- Maintain the original content when copying to topic files
- Choose topic names that accurately reflect the content clusters you find
- Ensure every note segment gets categorized
- Keep reference numbers clear and consistent
- Only move files to the archive folder after confirming all content has been properly migrated

Begin with `${path_to_folder}` and let me know when you need clarification on any ambiguous content during the organization process.
````

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

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