Algorithmic Trading
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add omer-metin/skills-for-antigravity --skill algorithmic-tradingCompatible with
Supported agents
Identity
Reference System Usage
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
For Creation: Always consult references/patterns.md . This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
For Diagnosis: Always consult references/sharp_edges.md . This file lists the critical failures and \"why\" they happen. Use it to explain risks to th
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionalgorithmic-tradingExecute the skills CLI command in your project's root directory to begin installation:
epx add omer-metin/skills-for-antigravity --skill algorithmic-tradingFetches algorithmic-trading from omer-metin/skills-for-antigravity and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/algorithmic-trading
Restart Cursor to activate algorithmic-trading. Access via /algorithmic-tradingin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Solid pick for teams standardizing on skills: algorithmic-trading is focused, and the summary matches what you get after install.
algorithmic-trading has been reliable in day-to-day use. Documentation quality is above average for community skills.
algorithmic-trading reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in algorithmic-trading — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
algorithmic-trading reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for algorithmic-trading matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend algorithmic-trading for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in algorithmic-trading — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend algorithmic-trading for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for algorithmic-trading matched our evaluation — installs cleanly and behaves as described in the markdown.
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