by BaggaT236
Ai agent claude trading skills for disiplined, repeatable trading workflows with a modern typescript platform
# Add to your Claude Code skills
git clone https://github.com/BaggaT236/AI-Trading-SkillsGuides for using ai agents skills like AI-Trading-Skills.
Last scanned: 7/4/2026
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"scannedAt": "2026-07-04T06:48:02.466Z",
"npmAuditRan": true,
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}See how AI-Trading-Skills compares with popular alternatives.
AI-Trading-Skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by BaggaT236. Ai agent claude trading skills for disiplined, repeatable trading workflows with a modern typescript platform. It has 124 GitHub stars.
AI-Trading-Skills failed SkillsLLM's automated security scan, which flagged one or more high-severity issues. Review the Security Report section carefully before using it.
Clone the repository with "git clone https://github.com/BaggaT236/AI-Trading-Skills" and add it to your Claude Code skills directory (see the Installation section above).
AI-Trading-Skills is primarily written in Python. It is open-source under BaggaT236 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh AI-Trading-Skills against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Build disciplined, repeatable trading workflows with a modern TypeScript platform.
This repository gives you:
Designed for discretionary traders who want better process quality, not "black-box" auto trading.
Educational use only. Not financial advice.
git clone https://github.com/tradermonty/claude-trading-skills.git
cd claude-trading-skills
npm install
cp .env.example .env
npm run validate
If validation passes, you are ready.
npx trading-skills list
npx trading-skills workflows
npx trading-skills workflow market-regime-daily
npx trading-skills validate
npx trading-skills validate-index --strict-workflows
claude-trading-skills/
├── src/ # TypeScript runtime, CLI, config, validators
├── tests/ # Vitest suites
├── skills/ # Skill content and execution assets
├── workflows/ # YAML workflow definitions
├── skillsets/ # Installable bundles by use-case
├── skills-index.yaml # Canonical skill registry
├── docs/ # Architecture and contributor docs
└── package.json # Build/test/lint scripts
npm run dev
npm run typecheck
npm run lint
npm run test
npm run build
npm run validate
npm run validate is the canonical local gate before pushing.
Copy .env.example to .env and adjust:
LOG_LEVEL (info, debug, error)REDIS_ENABLED (true or false)REDIS_URL (defaults to local Redis)REDIS_KEY_PREFIXREDIS_CACHE_TTL_SECONDSSKILLS_DIRSKILLS_INDEX_PATHWORKFLOWS_DIRNo Redis? Set REDIS_ENABLED=false and continue.
market-regime-dailyswing-opportunity-dailycore-portfolio-weeklytrade-memory-loopmonthly-performance-reviewWorkflow truth source lives in workflows/ and skills-index.yaml.
npm install then npm run typecheck.npm run lint and fix reported files.npx trading-skills validate-index --strict-workflows.REDIS_ENABLED=false in .env.npm run validate.For deeper architecture context, see docs/STRUCTURE.md and docs/AUDIT.md.
Is this an autonomous trading bot?
No. It structures analysis and decision quality; humans remain in control.
Can I run without Redis?
Yes. Redis is optional.
What is the canonical registry?
skills-index.yaml.
MIT. See LICENSE.