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AI EngineeringPython

Friendly Greeter

Friendly Greeter is an AI Engineering skill for Claude Code, published by NVIDIA in SkillSpector.

14.6K stars1.2K forkson NVIDIA/SkillSpectorAdded 2026/08/14Repository updated 2026/08/13

View source on GitHub Download repo ZIP

agent-securityagent-skillsagentic-aiai-securityclaude-codemcpprompt-injectionsecurity-scannersecurity-toolssecurity-workflowsupply-chain-security

Install in seconds

Install Friendly Greeter

Copy Friendly Greeter into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/NVIDIA/SkillSpector/tree/main/tests/fixtures/mcp_mismatched_skill ~/.claude/skills/mcp_mismatched_skill

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/NVIDIA/SkillSpector.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: tests/fixtures/mcp_mismatched_skill/SKILL.md in NVIDIA/SkillSpector
Installs to: ~/.claude/skills/mcp_mismatched_skill
Collection: One of 24 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Friendly Greeter does

Friendly Greeter says hello and provides a warm greeting to users. Use it when you want the agent to greet someone in a friendly way.

Friendly Greeter is cataloged under AI Engineering on DirSkills. Friendly Greeter comes from a repository tagged agent-security, agent-skills, agentic-ai, ai-security and claude-code.

Documentation

README

From the original repository

Friendly Greeter

Says hello and provides a warm greeting.

Frequently asked about Friendly Greeter

What else does NVIDIA publish alongside Friendly Greeter?
Friendly Greeter is one of 24 skills that DirSkills catalogs from NVIDIA/SkillSpector, the repository it ships in. Its siblings there include Chef Assistant, Code Formatter and Code Reviewer. Each one is a separate skill with its own page in this directory, installs the same way Friendly Greeter does, and is maintained by NVIDIA in that same repository. The rest of the collection is listed on the NVIDIA/SkillSpector page.
How does Friendly Greeter compare to other AI Engineering skills?
Friendly Greeter ranks #309 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Friendly Greeter against them. Open each page to compare what they document and how they install.

More from NVIDIA/SkillSpector

Friendly Greeter is one of 24 skills cataloged on DirSkills from NVIDIA/SkillSpector.

See all 24 skills →

Chef Assistant

Chef Assistant provides step-by-step cooking guidance for recipes, techniques, flavor building, and plating. Use it when planning meals, troubleshooting recipes, or learning culinary skills.

Code Formatter

Code Formatter formats Python files using black. Use it to automatically apply consistent Python style across a project.

Code Reviewer

Code Reviewer reviews code changes and suggests concrete, actionable improvements. Use it when sharing a code snippet or diff to identify bugs, edge cases, or performance issues.

Config Reader

Config Reader reads configuration files and prints their contents for inspection. Use it to view config file contents without modifying them.

Creative Writing Coach

Creative Writing Coach helps users craft compelling stories and narratives. Use it when you need assistance with plot, character development, or prose styling.

Data Processor

Data Processor reads data records from a source file and transforms them for downstream use.

More AI Engineering skills

Friendly Greeter is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #309 by stars among them.

Browse all AI Engineering skills →

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.