SKILLS — the universal agent skills library

THE UNIVERSAL AGENT SKILLS LIBRARY

Skills are reusable capabilities for AI agents. Install them with a single command, then load them into any framework to enhance your agents with carefully prompt-engineered procedural knowledge.

TRY IT NOW

$ npm install universal-agent-skills

AVAILABLE FOR THESE AGENTS

SKILLS LEADERBOARD

/

#	SKILL	CATEGORY
1	ux-expert-rakibulism rakibulism/agent-skills-os Review UI screens, dashboards, modals, tables, and flows as a UX expert speaking in "rakibulism" — Rakibul's curated professional communication style for cli...	DES
No skills match your search.

HOW IT WORKS

Three steps to ship

Pick a skill

Use the bundled ux-expert-rakibulism skill, or author your own by dropping a SKILL.md into the skills directory.

Call an adapter

One function per framework returns exactly the object that runtime wants — system prompt, instructions, template, or backstory.

Ship it

Hand the result to your agent. No build step, no lock-in — the same skill works everywhere.

WORKS WITH YOUR STACK

One skill, every framework

import Anthropic from "@anthropic-ai/sdk";
import { forClaude } from "universal-agent-skills";

const anthropic = new Anthropic();
const { system } = forClaude("ux-expert-rakibulism");

const msg = await anthropic.messages.create({
  model: "claude-opus-4-7",
  max_tokens: 4096,
  system,
  messages: [{ role: "user", content: "Review this dashboard screen:\n\n" + designDescription }],
});

import OpenAI from "openai";
import { forOpenAI } from "universal-agent-skills";

const openai = new OpenAI();
const assistant = await openai.beta.assistants.create({
  model: "gpt-4o",
  ...forOpenAI("ux-expert-rakibulism"),
});

import { PromptTemplate } from "@langchain/core/prompts";
import { forLangChain } from "universal-agent-skills";

const skill = forLangChain("ux-expert-rakibulism");
const prompt = PromptTemplate.fromTemplate(skill.template);
const formatted = await prompt.format({
  design: "...",
  format: "pinned comments",
});

# The markdown skills are framework-neutral.
# After npm install, read the file directly:
#   node_modules/universal-agent-skills/skills/<name>/SKILL.md
# Strip the frontmatter and use the body as your backstory.

from crewai import Agent

agent = Agent(
    role="UX Reviewer",
    goal="Review UI screens in the rakibulism voice",
    backstory=open("…/skills/ux-expert-rakibulism/SKILL.md").read(),
)

# Generate a JSON catalog from Node, hand it to Python:
#   node -e "import('universal-agent-skills').then(...)"

import json
from autogen import AssistantAgent

skills = { s["name"]: s for s in json.load(open("skills.json")) }

agent = AssistantAgent(
    name="ux-expert-rakibulism",
    system_message=skills["ux-expert-rakibulism"]["instructions"],
)

MOVE LIST

A small, predictable API

LOAD

loadAllSkills(): Skill[]
getSkill(name): Skill
listSkills(): SkillSummary[]
asSystemPrompt(name): string

FRAMEWORK ADAPTERS

forClaude(name):    { system, metadata }
forOpenAI(name):    { name, description, instructions }
forLangChain(name): { template, inputVariables }
forCrewAI(name):    { role, goal, backstory }
forAutoGen(name):   { name, system_message }
forGeneric(name):   { name, description, version, … }

BUILD YOUR OWN

Author a skill

A skill is a directory containing a single SKILL.md. Drop it into skills/ and loadAllSkills() picks it up — no registration step.

Lead with intent. The first paragraph says when to apply the skill.
Process before output. How to think, not just what to emit.
Specify output shape. Models drift without a target format.
Name failure modes. "What to avoid" prevents common errors.
Concrete over abstract. Examples beat advice.

---
name: my-skill
description: One sentence on when to use
  this skill and what it produces.
version: 0.1.0
tags: [domain, capability]
inputs:
  - name: input_name
    description: What this input is.
    required: true
---

# Body

The system-prompt content. Be specific
about process, output format, and what
to avoid.

Give your agent a skill in one line.