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Strategy

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alsk1992
strategy

Build and manage custom trading strategies with natural language

Overview

Publisheralsk1992
RepositoryCloddsBot
Skill namestrategy
Stars
3K
Forks
353
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by alsk1992 on GitHub. Read the source before you install it.

Installation

Install the Strategy 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.
    https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/strategy
  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/alsk1992/CloddsBot.git /tmp/CloddsBot
mkdir -p .claude/skills
cp -r /tmp/CloddsBot/src/skills/bundled/strategy .claude/skills/strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategy 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 Strategy 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 Strategy 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.

Strategy - Complete API Reference

Create custom trading strategies using natural language or templates, then deploy to live trading.


Chat Commands

Create Strategy

/strategy create "Buy when price drops 5% in 1 hour"
/strategy create momentum --lookback 14 --threshold 2%
/strategy from-template mean-reversion

Manage Strategies

/strategies                         List all strategies
/strategy <name>                    View strategy details
/strategy edit <name>               Modify strategy
/strategy delete <name>             Remove strategy

Activate/Deactivate

/strategy activate <name>           Start running strategy
/strategy deactivate <name>         Stop strategy
/strategy pause <name>              Pause temporarily
/strategy resume <name>             Resume paused strategy

Test & Validate

/strategy test <name> --dry-run     Test without real trades
/strategy backtest <name>           Run backtest
/strategy validate <name>           Check for errors

TypeScript API Reference

Create Strategy Builder

typescript
import { createStrategyBuilder } from 'clodds/strategy';

const builder = createStrategyBuilder({
  // Validation
  requireDryRun: true,
  validateParameters: true,

  // Storage
  storage: 'sqlite',
  dbPath: './strategies.db',
});

Natural Language Strategy

typescript
// Create from natural language
const strategy = await builder.fromNaturalLanguage({
  description: `
    Buy YES on any market when:
    - Price drops more than 5% in the last hour
    - Volume is above average
    - Spread is less than 2%

    Sell when:
    - Price recovers 3% from entry
    - Or after 24 hours (timeout)

    Risk: Max 5% of portfolio per trade
  `,
  name: 'dip-buyer',
});

console.log(`Created: ${strategy.name}`);
console.log(`Conditions: ${strategy.conditions.length}`);

Template-Based Strategy

typescript
// Momentum strategy
const momentum = await builder.fromTemplate('momentum', {
  lookbackPeriod: 14,
  entryThreshold: 0.02,
  exitThreshold: 0.01,
  stopLoss: 0.05,
  takeProfit: 0.10,
  maxPositionPct: 10,
});

// Mean reversion strategy
const meanReversion = await builder.fromTemplate('mean-reversion', {
  lookbackPeriod: 20,
  deviationThreshold: 2,  // Standard deviations
  exitOnMean: true,
  stopLoss: 0.08,
});

// Arbitrage strategy
const arbitrage = await builder.fromTemplate('arbitrage', {
  minSpread: 0.02,
  platforms: ['polymarket', 'kalshi'],
  maxSlippage: 0.01,
});

// Breakout strategy
const breakout = await builder.fromTemplate('breakout', {
  rangePeriod: '7d',
  breakoutThreshold: 0.05,
  confirmationVolume: 1.5,  // 1.5x average volume
});

Custom Strategy Code

typescript
// Full custom strategy
const custom = await builder.create({
  name: 'my-custom-strategy',
  description: 'Buy low-priced markets with high volume',

  // Entry conditions (all must be true)
  entryConditions: [
    { type: 'price', operator: '<', value: 0.30 },
    { type: 'volume24h', operator: '>', value: 50000 },
    { type: 'spread', operator: '<', value: 0.02 },
  ],

  // Exit conditions (any triggers exit)
  exitConditions: [
    { type: 'profit', operator: '>=', value: 0.15 },
    { type: 'loss', operator: '>=', value: 0.10 },
    { type: 'holdTime', operator: '>=', value: '48h' },
  ],

  // Risk management
  risk: {
    maxPositionPct: 5,
    stopLoss: 0.10,
    takeProfit: 0.20,
    maxConcurrentPositions: 5,
  },

  // Execution
  execution: {
    orderType: 'limit',
    limitBuffer: 0.005,
    retries: 3,
  },
});

Validate Strategy

typescript
const validation = await builder.validate(strategy);

if (validation.valid) {
  console.log('✅ Strategy is valid');
} else {
  console.log('❌ Validation errors:');
  for (const error of validation.errors) {
    console.log(`  - ${error}`);
  }
}

// Warnings (not blocking)
for (const warning of validation.warnings) {
  console.log(`⚠️ ${warning}`);
}

Activate Strategy

typescript
// Start with dry-run first (required)
await builder.activate(strategy.name, {
  dryRun: true,
  notifyOnTrade: true,
});

// After validation, go live
await builder.activate(strategy.name, {
  dryRun: false,
  capital: 5000,  // Allocate $5000
});

Monitor Strategy

typescript
const status = await builder.getStatus(strategy.name);

console.log(`Status: ${status.status}`);  // 'active' | 'paused' | 'stopped'
console.log(`Trades: ${status.trades}`);
console.log(`P&L: $${status.pnl}`);
console.log(`Win Rate: ${status.winRate}%`);
console.log(`Active Positions: ${status.activePositions}`);
console.log(`Last Signal: ${status.lastSignal}`);

List Strategies

typescript
const strategies = await builder.list();

for (const s of strategies) {
  console.log(`${s.name}: ${s.status}`);
  console.log(`  Type: ${s.template || 'custom'}`);
  console.log(`  P&L: $${s.pnl}`);
  console.log(`  Trades: ${s.trades}`);
}

Built-in Templates

TemplateDescription
momentumFollow price trends
mean-reversionBuy dips, sell rallies
arbitrageCross-platform spreads
breakoutRange breakout entries
pairsCorrelated market pairs
news-reactiveReact to news events
volume-spikeTrade on volume surges

Condition Types

TypeDescriptionExample
priceCurrent price< 0.30
volume24h24h volume> 50000
spreadBid-ask spread< 0.02
profitUnrealized profit>= 0.15
lossUnrealized loss>= 0.10
holdTimeTime in position>= 48h
priceChangePrice change %< -0.05 (5% drop)

Best Practices

  1. Always dry-run first — Test before real money
  2. Start small — Low capital until proven
  3. Set stop-losses — Protect against bad trades
  4. Monitor actively — Check strategy performance
  5. Iterate — Improve based on results

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Strategy AI skill do?

Build and manage custom trading strategies with natural language

Why use Strategy on TypingMind?

Because you install it once and use it with any model. Strategy 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 Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/strategy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Strategy?

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 Strategy?

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

Is the Strategy AI skill free?

Yes. It is published on GitHub by alsk1992 under the MIT license. 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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