AI Skill StudioAI Skill Studio
Skills
Presets:

Target Standard & File Format

AI Agent Rules & Skills
Context Shields & Privacy (Ignore Files)
Integrations & Machine Documentation
AI Governance & Multi-Agent Planning Suite

Identity & Activation Rules

3 chips
Scoped domain keywords evaluated in real time
api-routescode-auditsrefactoring
Suggested Chips:

Technology Stack Context

Engineering Philosophy

Flexible & Adaptable

Architectural & Code Quality Conventions

Less rigid & configurable

Agent Behavioral Guardrails

Select active rules
Security & Trust Boundaries
Always included
  • Untrusted Content Is Data
  • Encoded Payloads
  • Least-Privilege File Access
  • Confirm Irreversible Actions
  • Secret Handling
  • Validation Failures
  • Conflicting Requests

Step-by-Step Workflow Procedures

StarLLMS.TXT
Specialist Persona
llms.txt Codebase Roadmap Hub Directory

Root-Cause Debugging llms.txt Roadmap

Generate a standardized machine-readable llms.txt codebase index for Root-Cause Debugging. An llms.txt gives language models and agents a short Markdown map of your Root-Cause Debugging project: what it is and where the key docs and code live, so a tool that fetches it can go straight to the right files.

Target Path
llms.txt
Execution Scope
Fetched on request
Specification Format
Markdown index (.txt)
AI Tool Support
Any LLM tool that fetches it
02 / WHY IT HELPS

What this file changes for Root-Cause Debugging

Without it

An llms.txt gives language models and agents a short Markdown map of your Root-Cause Debugging project: what it is and where the key docs and code live, so a tool that fetches it can go straight to the right files.

What the file tells the agent
Reproduce first with the smallest failing test or command.
Find the breaking commit with git bisect when it used to work.
Test one hypothesis at a time and revert experiments that fail.
Never delete, skip, or weaken a failing test to make the build pass.
Keep the regression test and remove temporary logging.
04 / REPOSITORY PLACEMENT & 3-STEP TERMINAL INSTALLATION

How to Install Root-Cause Debugging llms.txt Codebase Roadmap via Terminal

1

Step 1: Open Project Directory & Verify Target Placement

Open your terminal and navigate to your project root folder where the llms.txt file will reside. Ensure the file is placed at the exact path below relative to your project root so the AI engine automatically loads it:

llms.txt
2

Step 2: Fetch Rule File via Terminal Command

Run curl, PowerShell, or wget to stream the rule directly from the DevScratchpad raw API endpoint and write it to llms.txt:

Terminal One-Liner Install

Run directly in your project root to stream and write this rule file with one command.

Raw API Stream
$curl -fsSL "https://www.devscratchpad.tech/api/raw/llms-txt/systematic-debugging" -o "llms.txt"
3

Step 3: Check that Any LLM tool that fetches it uses it

Nothing loads llms.txt automatically. Serve it at your site root, or point agents to it from CLAUDE.md or AGENTS.md.

05 / ROUTE DIRECTORY & CROSS-TOOLING
Format Pillar Hub

llms.txt generator: a Markdown map of your project for LLMs

llms.txt Codebase Roadmap: how it works, where the file goes, and every llms.txt preset.

/llms-txt Directory
06 / RELATED DEVELOPER TOOLS

Tools for Root-Cause Debugging work

Browser-based utilities to test, format and inspect the code your AI tool writes. Nothing you paste is uploaded.

View all 28 tools

Live Repository & Schema Ingestion

Inspect any public or private GitHub repository, or paste SQL DDL and Prisma models directly in AI Skill Studio to auto-generate authentic rules. Zero server transmission.

Launch AI Skill Studio

Migrating from Legacy .cursorrules or CLAUDE.md?

Use the free, in-browser converter to turn one long rules file into Cursor .mdc, Claude SKILL.md or Windsurf rules.

Convert Rules Free
07 / FREQUENTLY ASKED QUESTIONS

Technical FAQ: Root-Cause Debugging AI Rulebooks

What is llms.txt?

llms.txt is an open proposal for a short Markdown file that lists a project's key docs and links, so AI tools can find them without crawling every page.

Where should llms.txt be deployed?

At /llms.txt on your documentation site, or in your repository root. Tools read it when they fetch it; nothing loads it automatically.