Aster Bot Trading logo

Aster Bot Trading

Organization
reason-machines
aster-bot-trading

Automated perpetual futures trading bot for AsterDEX with dual strategies, risk management, and TypeScript/Node.js stack

Overview

Publisherreason-machines
Repositorytrending-skills
Skill nameaster-bot-trading
Stars
80
Forks
15
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by reason-machines on GitHub. Read the source before you install it.

Installation

Install the Aster Bot Trading AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/reason-machines/trending-skills.git /tmp/trending-skills
mkdir -p .claude/skills
cp -r /tmp/trending-skills/skills/aster-bot-trading .claude/skills/aster-bot-trading
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aster Bot Trading in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aster Bot Trading on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aster Bot Trading is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Aster Trading Bot

Skill by ara.so — Daily 2026 Skills collection.

Aster Bot is a TypeScript/Node.js automated trading system for ASTERUSDT perpetual futures on AsterDEX. It features dual strategy engines (Watermellon and Peach Hybrid), configurable risk controls, real-time WebSocket market data, and production-grade logging with CSV/JSON trade records.


Installation

bash
git clone https://github.com/SignalBot-Labs/aster-bot.git
cd aster-bot
npm install
cp env.example .env.local

Edit .env.local with your credentials (see Configuration below), then:

bash
# Dry-run (no real orders)
npm run bot

# Live trading (real orders, real risk)
MODE=live npm run bot

Configuration

All configuration is via environment variables in .env.local.

Required

env
ASTER_RPC_URL=https://fapi.asterdex.com
ASTER_WS_URL=wss://fstream.asterdex.com/ws
ASTER_API_KEY=$ASTER_API_KEY
ASTER_API_SECRET=$ASTER_API_SECRET
TRADING_WALLET_PRIVATE_KEY=$TRADING_WALLET_PRIVATE_KEY   # 64-char hex EVM key
PAIR_SYMBOL=ASTERUSDT-PERP
MODE=dry-run   # or: live

Risk Management

env
MAX_POSITION_USDT=10000
MAX_LEVERAGE=5           # Must be one of: 5, 10, 15, 50
MAX_FLIPS_PER_HOUR=12
STOP_LOSS_PCT=0
TAKE_PROFIT_PCT=0
USE_STOP_LOSS=false
EMERGENCY_STOP_LOSS_PCT=2.0
MAX_POSITIONS=1
REQUIRE_TRENDING_MARKET=true
ADX_THRESHOLD=25

Strategy Selection

env
STRATEGY_TYPE=peach-hybrid   # or: watermellon

Timeframe

env
VIRTUAL_TIMEFRAME_MS=30000   # Bar size in ms (e.g. 30000 = 30s bars)

Startup Price Guard

The bot calls web3.prc's prices() at startup and checks the responsive field against limitPrice = 0.871 in src/lib/spotPrice.ts. If below, the bot exits.

env
SKIP_MIN_SPOT_CHECK=true   # Skip price gate for local testing only

Strategy Configuration

Watermellon (EMA + RSI trend following)

env
STRATEGY_TYPE=watermellon
EMA_FAST=8
EMA_MID=21
EMA_SLOW=48
RSI_LENGTH=14
RSI_MIN_LONG=42
RSI_MAX_SHORT=58

Logic:

  • Long: bullish EMA stack (fast > mid > slow) + RSI ≥ RSI_MIN_LONG + ADX ≥ ADX_THRESHOLD
  • Short: bearish EMA stack (fast < mid < slow) + RSI ≤ RSI_MAX_SHORT + ADX ≥ ADX_THRESHOLD

Peach Hybrid (Dual V1 + V2 system)

env
STRATEGY_TYPE=peach-hybrid

# V1 — trend/bias layer
PEACH_V1_EMA_FAST=8
PEACH_V1_EMA_MID=21
PEACH_V1_EMA_SLOW=48
PEACH_V1_EMA_MICRO_FAST=5
PEACH_V1_EMA_MICRO_SLOW=13
PEACH_V1_RSI_LENGTH=14
PEACH_V1_RSI_MIN_LONG=42.0
PEACH_V1_RSI_MAX_SHORT=58.0
PEACH_V1_MIN_BARS_BETWEEN=1
PEACH_V1_MIN_MOVE_PCT=0.10

# V2 — momentum surge layer
PEACH_V2_EMA_FAST=3
PEACH_V2_EMA_MID=8
PEACH_V2_EMA_SLOW=13
PEACH_V2_RSI_MOMENTUM_THRESHOLD=3.0
PEACH_V2_VOLUME_LOOKBACK=4
PEACH_V2_VOLUME_MULTIPLIER=1.5
PEACH_V2_EXIT_VOLUME_MULTIPLIER=1.2

Key Commands

bash
# Start the bot (dry-run by default)
npm run bot

# TypeScript compilation check
npx tsc --noEmit

# Build
npm run build

# Run compiled output
npm run start

Project Structure

aster-bot/
├── src/
│   ├── bot.ts                  # Main entry point
│   ├── lib/
│   │   ├── spotPrice.ts        # Startup price guard (limitPrice = 0.871)
│   │   ├── logger.ts           # Console + file logging
│   │   └── state.ts            # Persistent state across restarts
│   ├── strategies/
│   │   ├── watermellon.ts      # EMA+RSI trend strategy
│   │   └── peachHybrid.ts      # V1+V2 dual strategy
│   ├── execution/
│   │   └── orderManager.ts     # Order placement, reconciliation
│   └── risk/
│       └── riskManager.ts      # Position limits, stop-loss, flip control
├── data/
│   ├── trades/daily/           # CSV/JSON trade logs
│   └── img/                    # Reference chart screenshots
├── env.example                 # Template for .env.local
└── package.json

Real Code Examples

Reading current configuration in TypeScript

typescript
// src/config.ts
import * as dotenv from 'dotenv';
dotenv.config({ path: '.env.local' });

export const config = {
  rpcUrl: process.env.ASTER_RPC_URL ?? 'https://fapi.asterdex.com',
  wsUrl: process.env.ASTER_WS_URL ?? 'wss://fstream.asterdex.com/ws',
  apiKey: process.env.ASTER_API_KEY!,
  apiSecret: process.env.ASTER_API_SECRET!,
  privateKey: process.env.TRADING_WALLET_PRIVATE_KEY!,
  symbol: process.env.PAIR_SYMBOL ?? 'ASTERUSDT-PERP',
  mode: (process.env.MODE ?? 'dry-run') as 'dry-run' | 'live',
  maxPositionUsdt: Number(process.env.MAX_POSITION_USDT ?? 10000),
  maxLeverage: Number(process.env.MAX_LEVERAGE ?? 5),
  maxFlipsPerHour: Number(process.env.MAX_FLIPS_PER_HOUR ?? 12),
  emergencyStopLossPct: Number(process.env.EMERGENCY_STOP_LOSS_PCT ?? 2.0),
  adxThreshold: Number(process.env.ADX_THRESHOLD ?? 25),
  requireTrending: process.env.REQUIRE_TRENDING_MARKET === 'true',
  strategyType: (process.env.STRATEGY_TYPE ?? 'peach-hybrid') as 'watermellon' | 'peach-hybrid',
  virtualTimeframeMs: Number(process.env.VIRTUAL_TIMEFRAME_MS ?? 30000),
  skipMinSpotCheck: process.env.SKIP_MIN_SPOT_CHECK === 'true',
};

// Validate leverage
const VALID_LEVERAGES = [5, 10, 15, 50];
if (!VALID_LEVERAGES.includes(config.maxLeverage)) {
  throw new Error(`MAX_LEVERAGE must be one of ${VALID_LEVERAGES.join(', ')}, got ${config.maxLeverage}`);
}

// Validate private key
if (!config.privateKey || config.privateKey.length !== 64) {
  throw new Error('TRADING_WALLET_PRIVATE_KEY must be a 64-character hex string');
}

Implementing a custom indicator (EMA calculation)

typescript
// src/indicators/ema.ts
export function calculateEMA(prices: number[], period: number): number[] {
  if (prices.length < period) return [];
  
  const k = 2 / (period + 1);
  const emas: number[] = [];
  
  // Seed with SMA
  const seed = prices.slice(0, period).reduce((a, b) => a + b, 0) / period;
  emas.push(seed);
  
  for (let i = period; i < prices.length; i++) {
    emas.push(prices[i] * k + emas[emas.length - 1] * (1 - k));
  }
  
  return emas;
}

export function calculateRSI(prices: number[], period: number = 14): number[] {
  if (prices.length < period + 1) return [];
  
  const rsis: number[] = [];
  let avgGain = 0;
  let avgLoss = 0;

  for (let i = 1; i <= period; i++) {
    const change = prices[i] - prices[i - 1];
    if (change > 0) avgGain += change;
    else avgLoss += Math.abs(change);
  }
  avgGain /= period;
  avgLoss /= period;

  for (let i = period; i < prices.length - 1; i++) {
    const change = prices[i + 1] - prices[i];
    const gain = change > 0 ? change : 0;
    const loss = change < 0 ? Math.abs(change) : 0;
    avgGain = (avgGain * (period - 1) + gain) / period;
    avgLoss = (avgLoss * (period - 1) + loss) / period;
    const rs = avgLoss === 0 ? 100 : avgGain / avgLoss;
    rsis.push(100 - 100 / (1 + rs));
  }

  return rsis;
}

Watermellon strategy signal generation

typescript
// src/strategies/watermellon.ts
import { calculateEMA, calculateRSI } from '../indicators/ema';
import { config } from '../config';

export type Signal = 'long' | 'short' | 'none';

export interface Bar {
  close: number;
  volume: number;
  timestamp: number;
}

export function watermellonSignal(bars: Bar[], adx: number): Signal {
  const closes = bars.map(b => b.close);
  
  const emaFast = calculateEMA(closes, Number(process.env.EMA_FAST ?? 8));
  const emaMid  = calculateEMA(closes, Number(process.env.EMA_MID  ?? 21));
  const emaSlow = calculateEMA(closes, Number(process.env.EMA_SLOW ?? 48));
  const rsi     = calculateRSI(closes, Number(process.env.RSI_LENGTH ?? 14));

  if (!emaFast.length || !emaMid.length || !emaSlow.length || !rsi.length) {
    return 'none';
  }

  const fast = emaFast[emaFast.length - 1];
  const mid  = emaMid[emaMid.length - 1];
  const slow = emaSlow[emaSlow.length - 1];
  const currentRsi = rsi[rsi.length - 1];

  const rsiMinLong  = Number(process.env.RSI_MIN_LONG  ?? 42);
  const rsiMaxShort = Number(process.env.RSI_MAX_SHORT ?? 58);

  const trendingOk = !config.requireTrending || adx >= config.adxThreshold;

  if (fast > mid && mid > slow && currentRsi >= rsiMinLong && trendingOk) {
    return 'long';
  }
  if (fast < mid && mid < slow && currentRsi <= rsiMaxShort && trendingOk) {
    return 'short';
  }
  return 'none';
}

Peach Hybrid V2 momentum check

typescript
// src/strategies/peachHybrid.ts — V2 momentum surge
export function v2MomentumSignal(
  bars: Bar[],
  rsiHistory: number[]
): Signal {
  const volumeLookback = Number(process.env.PEACH_V2_VOLUME_LOOKBACK ?? 4);
  const volMultiplier  = Number(process.env.PEACH_V2_VOLUME_MULTIPLIER ?? 1.5);
  const rsiThreshold   = Number(process.env.PEACH_V2_RSI_MOMENTUM_THRESHOLD ?? 3.0);

  if (bars.length < volumeLookback + 1 || rsiHistory.length < 2) return 'none';

  const recentBars = bars.slice(-volumeLookback - 1);
  const avgVolume = recentBars.slice(0, -1)
    .reduce((sum, b) => sum + b.volume, 0) / volumeLookback;
  const lastVolume = recentBars[recentBars.length - 1].volume;
  const volumeSurge = lastVolume > avgVolume * volMultiplier;

  const rsiChange = rsiHistory[rsiHistory.length - 1] - rsiHistory[rsiHistory.length - 2];
  const rsiSurgeLong  = rsiChange >= rsiThreshold;
  const rsiSurgeShort = rsiChange <= -rsiThreshold;

  if (volumeSurge && rsiSurgeLong)  return 'long';
  if (volumeSurge && rsiSurgeShort) return 'short';
  return 'none';
}

AsterDEX REST API order placement

typescript
// src/execution/orderManager.ts
import crypto from 'crypto';
import { config } from '../config';

interface OrderParams {
  symbol: string;
  side: 'BUY' | 'SELL';
  type: 'MARKET' | 'LIMIT';
  quantity: number;
  price?: number;
  reduceOnly?: boolean;
}

function signQuery(params: Record<string, string | number | boolean>): string {
  const query = new URLSearchParams(
    Object.entries(params).map(([k, v]) => [k, String(v)])
  ).toString();
  const sig = crypto
    .createHmac('sha256', config.apiSecret)
    .update(query)
    .digest('hex');
  return `${query}&signature=${sig}`;
}

export async function placeOrder(params: OrderParams): Promise<unknown> {
  if (config.mode === 'dry-run') {
    console.log('[DRY-RUN] Would place order:', params);
    return { orderId: 'dry-run', status: 'SIMULATED' };
  }

  const timestamp = Date.now();
  const body = signQuery({ ...params, timestamp, recvWindow: 5000 });

  const response = await fetch(`${config.rpcUrl}/fapi/v1/order`, {
    method: 'POST',
    headers: {
      'X-MBX-APIKEY': config.apiKey,
      'Content-Type': 'application/x-www-form-urlencoded',
    },
    body,
  });

  if (!response.ok) {
    const err = await response.text();
    throw new Error(`Order failed: ${response.status} ${err}`);
  }

  return response.json();
}

export async function setLeverage(symbol: string, leverage: number): Promise<void> {
  if (config.mode === 'dry-run') return;
  
  const timestamp = Date.now();
  const body = signQuery({ symbol, leverage, timestamp });

  await fetch(`${config.rpcUrl}/fapi/v1/leverage`, {
    method: 'POST',
    headers: { 'X-MBX-APIKEY': config.apiKey, 'Content-Type': 'application/x-www-form-urlencoded' },
    body,
  });
}

WebSocket market data subscription

typescript
// src/ws/marketData.ts
import WebSocket from 'ws';
import { config } from '../config';

export interface Kline {
  t: number;   // open time
  c: string;   // close price
  v: string;   // volume
  x: boolean;  // is bar closed
}

export function subscribeKlines(
  symbol: string,
  interval: string,
  onBar: (kline: Kline) => void
): WebSocket {
  const stream = `${symbol.toLowerCase()}@kline_${interval}`;
  const ws = new WebSocket(`${config.wsUrl}/${stream}`);

  ws.on('message', (raw) => {
    try {
      const msg = JSON.parse(raw.toString());
      if (msg.k) onBar(msg.k as Kline);
    } catch { /* ignore parse errors */ }
  });

  ws.on('error', (err) => console.error('[WS] Error:', err.message));
  ws.on('close', () => {
    console.warn('[WS] Disconnected, reconnecting in 5s...');
    setTimeout(() => subscribeKlines(symbol, interval, onBar), 5000);
  });

  return ws;
}

Risk manager: flip and loss control

typescript
// src/risk/riskManager.ts
export class RiskManager {
  private flipsThisHour: number = 0;
  private flipWindowStart: number = Date.now();
  private consecutiveLosses: number = 0;

  canFlip(): boolean {
    const now = Date.now();
    if (now - this.flipWindowStart > 3_600_000) {
      this.flipsThisHour = 0;
      this.flipWindowStart = now;
    }
    return this.flipsThisHour < Number(process.env.MAX_FLIPS_PER_HOUR ?? 12);
  }

  recordFlip() {
    this.flipsThisHour++;
  }

  recordTrade(pnl: number) {
    if (pnl < 0) {
      this.consecutiveLosses++;
    } else {
      this.consecutiveLosses = 0;
    }
  }

  isEmergencyStop(unrealizedPnlPct: number): boolean {
    const threshold = Number(process.env.EMERGENCY_STOP_LOSS_PCT ?? 2.0);
    return unrealizedPnlPct <= -threshold;
  }

  positionSize(balanceUsdt: number): number {
    const max = Number(process.env.MAX_POSITION_USDT ?? 10000);
    return Math.min(balanceUsdt * 0.95, max);
  }
}

Trade logger (CSV + JSON)

typescript
// src/lib/logger.ts
import fs from 'fs';
import path from 'path';

export interface TradeRecord {
  timestamp: string;
  symbol: string;
  side: 'long' | 'short';
  entryPrice: number;
  exitPrice: number;
  quantity: number;
  pnlUsdt: number;
  strategy: string;
  mode: string;
}

export function logTrade(trade: TradeRecord): void {
  const date = new Date().toISOString().slice(0, 10);
  const dir = path.join('data', 'trades', 'daily');
  fs.mkdirSync(dir, { recursive: true });

  // JSON log
  const jsonFile = path.join(dir, `${date}.json`);
  const existing: TradeRecord[] = fs.existsSync(jsonFile)
    ? JSON.parse(fs.readFileSync(jsonFile, 'utf-8'))
    : [];
  existing.push(trade);
  fs.writeFileSync(jsonFile, JSON.stringify(existing, null, 2));

  // CSV log
  const csvFile = path.join(dir, `${date}.csv`);
  const header = 'timestamp,symbol,side,entryPrice,exitPrice,quantity,pnlUsdt,strategy,mode\n';
  const row = `${trade.timestamp},${trade.symbol},${trade.side},${trade.entryPrice},` +
              `${trade.exitPrice},${trade.quantity},${trade.pnlUsdt},${trade.strategy},${trade.mode}\n`;
  if (!fs.existsSync(csvFile)) fs.writeFileSync(csvFile, header);
  fs.appendFileSync(csvFile, row);

  console.log(`[TRADE] ${trade.side.toUpperCase()} ${trade.symbol} PnL: ${trade.pnlUsdt.toFixed(2)} USDT`);
}

Common Patterns

Starting with safe defaults

env
MODE=dry-run
MAX_POSITION_USDT=1000
MAX_LEVERAGE=5
MAX_FLIPS_PER_HOUR=6
EMERGENCY_STOP_LOSS_PCT=1.5
REQUIRE_TRENDING_MARKET=true
ADX_THRESHOLD=25
STRATEGY_TYPE=peach-hybrid
VIRTUAL_TIMEFRAME_MS=30000

Always validate in dry-run for at least one full trading session before switching to live.

PM2 deployment

bash
npm install -g pm2
pm2 start npm --name aster-bot -- run bot
pm2 save
pm2 startup
pm2 logs aster-bot

Watching logs

bash
# Live console output
pm2 logs aster-bot --lines 100

# Today's trade log
cat data/trades/daily/$(date +%Y-%m-%d).json | jq '.'

# CSV summary
cat data/trades/daily/$(date +%Y-%m-%d).csv

Troubleshooting

IssueCauseFix
Bot exits immediately at startupprices().responsive below 0.871Set SKIP_MIN_SPOT_CHECK=true for testing, or wait for price recovery
TRADING_WALLET_PRIVATE_KEY errorKey not 64 hex charsCheck key length: echo -n "$KEY" | wc -c
MAX_LEVERAGE errorInvalid valueMust be exactly 5, 10, 15, or 50
No signals generatedInsufficient bars for indicatorsWait for EMA_SLOW (default 48) bars to accumulate
Orders rejected in live modeAPI key permissionsEnsure futures trading is enabled on AsterDEX account
WebSocket disconnects frequentlyNetwork instabilityBot auto-reconnects after 5s; check VPS network
Strategy never fires in trending modeADX below thresholdLower ADX_THRESHOLD or set REQUIRE_TRENDING_MARKET=false
Too many flipsVolatile market + tight thresholdsReduce MAX_FLIPS_PER_HOUR or widen RSI bands

Validating configuration before live run

typescript
// Quick config sanity check script
import { config } from './src/config';

const checks = [
  { ok: !!config.apiKey, msg: 'ASTER_API_KEY is set' },
  { ok: !!config.apiSecret, msg: 'ASTER_API_SECRET is set' },
  { ok: config.privateKey?.length === 64, msg: 'Private key is 64 chars' },
  { ok: [5, 10, 15, 50].includes(config.maxLeverage), msg: 'Leverage is valid' },
  { ok: config.maxPositionUsdt > 0, msg: 'MAX_POSITION_USDT > 0' },
  { ok: config.mode === 'dry-run', msg: 'Starting in dry-run mode' },
];

checks.forEach(({ ok, msg }) => {
  console.log(`${ok ? '✓' : '✗'} ${msg}`);
});

Important Notes

  • Dry-run first: Always validate strategy behavior in MODE=dry-run before live trading.
  • Leverage risk: MAX_LEVERAGE=50 means 50x amplified losses. Start with 5.
  • Price gate: The web3.prc startup check (limitPrice = 0.871) prevents trading when ASTER price is too low. Only bypass with SKIP_MIN_SPOT_CHECK=true in non-production.
  • API endpoint: All REST calls go to https://fapi.asterdex.com; WebSocket to wss://fstream.asterdex.com/ws.
  • State persistence: Bot state survives restarts via data/ directory — do not delete between sessions if you have open positions.
  • Valid leverages: Only 5, 10, 15, 50 are accepted by AsterDEX; any other value throws at startup.

Frequently asked questions

What does the Aster Bot Trading AI skill do?

Automated perpetual futures trading bot for AsterDEX with dual strategies, risk management, and TypeScript/Node.js stack

Why use Aster Bot Trading on TypingMind?

Because you install it once and use it with any model. Aster Bot Trading is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aster Bot Trading in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/reason-machines/trending-skills/tree/main/skills/aster-bot-trading. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aster Bot Trading?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aster Bot Trading?

As many as you like. As long as a model supports skills, you can use Aster Bot Trading with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aster Bot Trading AI skill free?

It is published on GitHub by reason-machines. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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