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StarDeveloper Reference & Technical Architecture

The Complete Specification Guide to AI Coding Agent Rules & Skills

AI Skill Studio enables software engineering teams to configure, standardize, and generate production-grade agent steering files—including Claude Code skills (SKILL.md), Cursor Project Rules (.cursor/rules/*.mdc), Anthropic project guidelines (CLAUDE.md), and cross-agent orchestrations (AGENTS.md)—with 100% client-side privacy.

Comparing Modern AI Agent Configuration Formats

Different AI coding companions and IDEs parse instructions through distinct specifications. Here is how each target format functions in production:

SKILL.mdClaude CLI

Claude Code Agent Skills

Modular runtime capabilities

Packaged modular instructions equipped with YAML frontmatter (name and description). Claude Code evaluates the description dynamically, loading the skill into context only when triggered by relevant developer tasks or explicit slash commands.

.claude/skills/<name>/SKILL.md
.mdcCursor IDE

Cursor Modular Rules

Glob-scoped context triggers

Supersedes the legacy monolithic .cursorrules file. Modern Cursor rules live under .cursor/rules/*.mdc with structured frontmatter specifying glob patterns (globs: ["**/*.tsx"]) and an alwaysApply flag.

.cursor/rules/<name>.mdc
CLAUDE.mdProject Root

Anthropic Root Guidelines

Repository-wide system context

Located at the repository root, CLAUDE.md is ingested automatically by Claude Code and Claude.ai project instances. Uses semantic XML tags (<project_context>, <tech_stack>) to preserve high token density.

/CLAUDE.md (Root)
AGENTS.mdMulti-Agent

Multi-Agent Protocols

Antigravity & autonomous teams

Standardized configuration for agentic frameworks (Antigravity, CrewAI, AutoGen). Contains demarcated rule blocks (<!-- BEGIN:agent-rules -->) establishing specialized roles, architectural boundaries, and guardrails for autonomous multi-agent loops.

/AGENTS.md (Root)
claude.jsonMCP Runtime

MCP Server Configs

Model Context Protocol bindings

Standardized configuration block for local and remote Model Context Protocol (MCP) servers. Configures executable commands, environment credentials, and connection arguments for tools like filesystem inspection, GitHub API, PostgreSQL, and web fetchers.

~/.claude.json

How to Generate & Deploy AI Agent Skills in 3 Steps

Streamline your prompt engineering and rule management pipeline:

STEP 01

Select Preset or Import Manifest

Choose a production-grade preset (Next.js 15, FastAPI, Cursor .mdc Pro, Codebase Auditor) or drop your package.json or Cargo.toml to auto-detect your stack.

STEP 02

Configure Guardrails & Philosophy

Toggle essential engineering behaviors (e.g., surgical diffs, guard clauses, typed schemas, strict accessibility) and input reference code examples for immediate model grounding.

STEP 03

Export Unified AI Kit (.zip)

Download a unified archive containing formatted .cursor/rules/*.mdc, .claude/skills/SKILL.md, CLAUDE.md, AGENTS.md, and installation documentation.

Zero-Telemetry Client-Side Security Guarantee

Why Enterprise Engineers Use In-Browser Skill Generation

Cloud-based AI prompt builders require uploading your project names, internal repository architectures, and confidential engineering guidelines to remote databases. AI Skill Studio executes 100% in local browser memory. No network requests transmit your prompt inputs, manifests, or generated rules. It operates offline, requires zero API keys, and creates zero telemetry footprint.

Frequently Asked Questions (FAQ)

Everything you need to know about configuring skills and project rules for AI coding assistants.

What is the difference between Cursor .mdc rules and legacy .cursorrules?

The legacy .cursorrules file is a single monolithic file loaded on every AI interaction, rapidly consuming context window tokens. Modern Cursor Project Rules (.cursor/rules/*.mdc) allow modular rulebooks with file glob patterns (e.g. src/components/**/*.tsx) and alwaysApply: false, so rules attach only when relevant code is being modified.

How does Claude Code detect and run custom skills from SKILL.md?

Claude Code searches .claude/skills/<skill-name>/SKILL.md in your project directory (or globally in ~/.claude/skills/). It indexes the YAML frontmatter (name and description). When your request aligns with the skill description or when you trigger its slash command, Claude automatically loads the full markdown instructions.

Can I use the generated rules in Windsurf, GitHub Copilot, or Aider?

Yes. The generated CLAUDE.md and AGENTS.md files use standard Markdown and XML structures compatible with Windsurf Cascade, GitHub Copilot workspace instructions, and Aider system prompts.

Does AI Skill Studio send my manifest files or code to any server?

No. All manifest parsing (package.json, Cargo.toml, etc.), rule generation, Monaco editing, and ZIP archive creation are executed 100% client-side via JavaScript in your browser memory. No backend network requests are made.

Where should I put the generated files in my repository?

Exporting the AI Kit ZIP will automatically arrange the files in the correct directory structure:
• Cursor rules: .cursor/rules/<name>.mdc
• Claude skills: .claude/skills/<name>/SKILL.md
• Anthropic guidelines: CLAUDE.md at repo root
• Multi-agent rules: AGENTS.md at repo root

Want a comprehensive deep dive into AI agent prompt architecture?

Read our full engineering guide on Claude Code skills, Cursor rules best practices, and multi-agent coordination.

Read Complete Guide