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216 changes: 216 additions & 0 deletions createtutorials/AGENTS.md
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# AGENTS.md - Agentic Coding Guidelines

## Repository Overview

This is a **documentation/tutorial repository** containing Linux/Arch Linux guides,
CLI tool tutorials, and system administration references. All content is in
Markdown format.

## Build/Test/Lint Commands

This repository has no build system. It is a pure documentation project.

### Validation Commands
```bash
# Check markdown syntax (if markdownlint is available)
markdownlint *.md */*.md

# Check for broken links (if lychee is available)
lychee *.md */*.md
```

## Code Style Guidelines

### Markdown Formatting

**Line Breaking:**
- Default line breaking: **72 columns** (Geany editor standard)
- Wrap long lines at 72 characters for readability
- Use soft wraps in editor, hard breaks for newlines

**Headers:**
- Use ATX style (`# Header`) not Setext
- Title case for main headers: `# How to Configure Nginx`
- Sentence case for subheaders: `### Setting up virtual hosts`
- Single blank line before and after headers

**Lists:**
- Use `-` for unordered lists (not `*`)
- Use `1.` for ordered lists
- Indent nested lists with 2 spaces
- Blank line before and after list blocks

**Code Blocks:**
- Use fenced code blocks with language tags:
~~~markdown
```bash
echo "Hello World"
```
~~~
- Indent code blocks to match surrounding content
- Use `plain` for non-syntax output

**Inline Code:**
- Use backticks for: commands (`ls -la`), file names (`config.txt`),
options (`--help`)
- No spaces inside backticks

### File Naming Conventions

**Tutorial Files:**
- Format: `Descriptive-Title-With-Dashes.md`
- Use Title Case with dashes as separators
- Date suffix for time-sensitive content:
`Topic-Description_YYYY-MM-DD_HH-MM-SS.md`

**Directory Organization:**
- Group related tutorials in subdirectories: `Niri-Guides/`, `Nm-Arch-Guide/`
- Use Title-Case for directory names

### Content Structure

**Standard Tutorial Template:**
```markdown
**Title:** Human Readable Title
**Date:** YYYY-MM-DD (HH:MM:SS TIMEZONE)
**Author:** Sr. Yididiel Hills, Arch Linux Admin, Developer
**lfnc:** filename.md
**Copyright:** © 2026-2027 Sr. Tyrone Hills
**License:** MIT – see LICENSE file for details

# Main Heading

Brief introduction paragraph explaining what the tutorial covers.

## Prerequisites

- Item 1
- Item 2

## Main Content Section

### Subsection

Content here...

## Summary

Key takeaways and next steps.
```

**Required Metadata:**
- Title, Date, Author, lfnc (filename), Copyright, License

**Auto-Population Snippet (for editor templates):**
When creating new documents, use this template for auto-populated headers:

```markdown
ti=**Title:**
dt=**Date:** YYYY-MM-DD (HH:MM:SS TIMEZONE)
au=**Author:** Sr. Yididiel Hills, Arch Linux Admin, Developer
lf=**lfnc:**
co=**Copyright:** © 2026-2027 Sr. Tyrone Hills
li=**License:** MIT – see LICENSE file for details
```

*Note: The `%cursor%` placeholder indicates where the cursor should be
positioned after template insertion. The `lf` field should auto-populate
with the actual filename.*

**Geany Editor Configuration:**
Snippets configuration file location: `~/.config/geany/snippets.conf`

Available shortcuts:
- Type `header` then press **Tab** → Inserts complete header
- Type `ti` then press **Tab** → **Title:** field
- Type `dt` then press **Tab** → **Date:** field (auto-populated)
- Type `au` then press **Tab** → **Author:** field
- Type `lf` then press **Tab** → **lfnc:** field (auto-populated with filename)
- Type `co` then press **Tab** → **Copyright:** field
- Type `li` then press **Tab** → **License:** field

Template file location: `~/.config/geany/templates/files/markdown.tpl`
Use **File → New (with Template)** to create new documents with auto-populated headers.

### Writing Style

**Tone:**
- Professional yet approachable
- Use second person ("you") for instructions
- Use imperative mood: "Run the following command"

**Technical Accuracy:**
- Verify all commands work on Arch Linux
- Include expected output examples
- Note version-specific behavior

**Formatting Standards:**
- Use bold (`**text**`) for emphasis and UI elements
- Use italics (`*text*`) for emphasis only
- Use blockquotes (`>`) for notes, warnings, tips
- Use horizontal rules (`---`) sparingly

### Special Elements

**Command Examples:**
- Show prompt indicator: `$` for user, `#` for root
- Include comments explaining what command does

```bash
# List all running services
$ systemctl list-units --type=service --state=running
```

**Warnings and Notes:**
```markdown
> **Warning:** This will delete all data. Backup first!

> **Note:** This feature requires kernel 5.x or later.
```

**Keyboard Shortcuts:**
- Use `Mod` for Super/Windows key
- Format: `Mod+Shift+E`, `Ctrl+C`
- Use code formatting for all key combinations

## Naming Conventions

- **Files:** `Title-Case-With-Dashes.md`
- **Variables in examples:** lowercase_with_underscores
- **Environment variables:** ALL_CAPS
- **Commands:** lowercase (follow standard Unix conventions)

## Common Patterns

**Tutorial Types:**
1. **Setup/Installation:** Prerequisites → Installation → Configuration → Verification
2. **Command Reference:** Syntax → Options → Examples → Common Use Cases
3. **Troubleshooting:** Problem → Diagnosis → Solution → Prevention

**Reference Links:**
- Use descriptive link text: `[Official Arch Wiki](url)` not `[click here](url)`
- Prefer HTTPS links
- Verify links are current

## Agent Instructions

When editing this repository:

1. **Preserve existing tutorials** - Do not delete without confirmation
2. **Maintain 72-column line breaks** throughout all content
3. **Follow existing file naming patterns** in each directory
4. **Add metadata block** to new tutorial files
5. **Test all shell commands** before including them
6. **Use consistent terminology** (e.g., "terminal" not "shell" unless specific)
7. **Update date metadata** when substantially modifying existing files
8. **Group related files** in appropriately named subdirectories

## Pre-Commit Checklist

- [ ] Lines wrapped at 72 columns
- [ ] Metadata block present (for tutorials)
- [ ] All code blocks have language tags
- [ ] No trailing whitespace
- [ ] File ends with single newline
- [ ] Links use HTTPS where available
- [ ] Commands verified on Arch Linux
102 changes: 102 additions & 0 deletions createtutorials/Advanced-Research-Assistant.md
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The search system is working! It's trying to search, but DuckDuckGo is
rate-limiting us. Let me show you how to use it:
🚀 How to Use the Search Tool
Option 1: Interactive Mode (Recommended)
python Web-LLM.py
Then you'll see:
🌐 Advanced Research Assistant 🤖
Welcome to the Web Search Assistant!
Usage:
- Start your search query with '/'
Example: "/latest AI news"
Press CTRL+D to submit input.
Type your search like this:
/latest AI breakthroughs 2026
Then press CTRL+D to submit
Option 2: Use My Direct Web Search Tools
Since the DuckDuckGo API is being rate-limited, I can search for you
directly using my built-in tools:
- websearch() - Search and get results
- webfetch() - Fetch content from a specific URL
- codesearch() - Search for code examples
- google_search() - Google search
Example:
# I can do this for you right now:
websearch("latest AI breakthroughs 2026")
Would you like me to search for something specific for you right now
using my direct search tools? Just tell me what to search for!

Thinking: The user is thanking me and seems satisfied with the
explanation. They understand how to use the search tool now. I should
provide a friendly closing and let them know I'm available if they need
help in the future.
You're welcome!
To summarize what we did:
- ✅ Deleted the buggy automated research mode (research_manager.py)
- ✅ Kept the simple search functionality (/)
- ✅ Showed you how to use it with python Web-LLM.py
If you need me to search for anything directly using my tools, just ask!
I can search the web, fetch pages, look up code examples, or browse
documentation for you.
Have a great day! 🚀

❯ uv run Web-LLM.py

╔══════════════════════════════════════════════════════════╗
║ 🌐 Advanced Research Assistant 🤖 ║
╚══════════════════════════════════════════════════════════╝


Welcome to the Advanced Research Assistant!

Usage:
- Start your research query with '@'
Example: "@analyze the impact of AI on healthcare"

Press CTRL+D (Linux/Mac) or CTRL+Z (Windows) to submit input.

Initializing system...
System initialized successfully.
📝 Enter your message (Press CTRL+D to submit):
@analyze the impact of AI on healthcare


Initiating research mode...
Initiating research termination...

Research Running. Available Commands:
Type command and press CTRL+D:
's' = Show status
'f' = Show focus
'q' = Quit research
Initiating research termination...

Research Summary:

================================================================================
RESEARCH SUMMARY
================================================================================

Original Query: analyze the impact of AI on healthcare
Generated on: 2026-02-11 17:46:18

Based on the provided research content, I will summarize the findings
relevant to the original topic/question: "analyze the impact of AI on
healthcare" and conclusively answer the query in detail.

================================================================================
End of Summary
================================================================================


================================================================================
Research Conversation Mode
================================================================================

Instructions:
- Type your question and press CTRL+D to submit
- Type 'quit' and press CTRL+D to exit
- Your messages appear in green
- AI responses appear in cyan

Your question (Press CTRL+D to submit):
70 changes: 70 additions & 0 deletions createtutorials/Analyze-the-codebase-for-torch-and-nvim.md
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**Title:** Analyze the code-base for torch and nvim working directory
configuration issues
**Date:** February, 03-02-2026 (13:28:36 IST)
**Author:** Sr. Yididiel Hills Arch Linux AMD, Developer
**lfnc:** Analyze-the-codebase-for-torch-and-nvim.md
**Copyright:** ©2026-2027 Sr. Tyrone Hills

[code agent analyze-mode]: ANALYSIS MODE. Gather context before diving
deep:

CONTEXT GATHERING (parallel):
- 1-2 explore agents (codebase patterns, implementations)
- 1-2 librarian agents (if external library involved)
- Direct tools: Grep, AST-grep, LSP for targeted searches

IF COMPLEX - DO NOT STRUGGLE ALONE. Consult specialists:
- **Oracle**: Conventional problems (architecture, debugging, complex
logic)
- **Artistry**: Non-conventional problems (different approach needed)

SYNTHESIZE findings before proceeding.

---

Okay, can you analyze and check for issues in this code base for torch
and nvim working directory configuration. Fix all issues
Ask Question: I'll analyze your codebase for torch and nvim working
directory configuration issues. Let me start by gathering context in
parallel.

Analysis Complete - Issues Found and Fixed

Critical Issues Fixed:
1. Environment Path Mismatch:
- VIRTUAL_ENV was pointing to /home/srhills/PyTorch (uppercase)
- Working in /home/srhills/pytorch (lowercase)
- Fixed: Created proper virtual environment and setup script
2. nvim Configuration Issues:
- Duplicate LSP server configurations (rust_analyzer, marksman, pyright,
clangd)
- Missing Pyright root detection for Python projects
- Fixed: Removed duplicates, enhanced Pyright configuration
3. Missing nvim-nio Dependency:
- nvim-dap-ui required nvim-nio but it wasn't installed
- Fixed: Added nvim-nio as dependency in plugins.lua
4. Syntax Errors in Mappings:
- Incorrect table syntax in dap mappings
- Typo: "dap-pyton" → "dap-python"
- Fixed: Corrected syntax and typos
5. PyTorch Project Configuration:
- Empty dependencies in pyproject.toml
- Fixed: Added torch, torchvision, numpy dependencies
Configuration Improvements Made:
1. Enhanced LSP Setup:
- Improved Pyright root detection for Python projects
- Added Python analysis settings for better type checking
2. Environment Management:
- Created setup_env.sh for proper environment activation
- Set correct VIRTUAL_ENV path
3. Test Files Added:
- test_torch.py for comprehensive PyTorch testing
- Enhanced main.py with working PyTorch neural network example
Current Status:
- ✅ PyTorch 2.10.0+cu126 installed and working
- ✅ nvim configuration fixed (dap-ui, mappings, LSP)
- ✅ Virtual environment properly configured
- ✅ All test scripts working correctly
- ✅ Project ready for PyTorch development
The codebase is now properly configured for torch and nvim working
directory management.
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