Systematic approach to backtesting trading strategies based on professional methodology that prioritizes robustness over optimistic results.
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 tradermonty/claude-trading-skills --skill backtest-expertCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbacktest-expertExecute the skills CLI command in your project's root directory to begin installation:
epx add tradermonty/claude-trading-skills --skill backtest-expertFetches backtest-expert from tradermonty/claude-trading-skills 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/backtest-expert
Restart Cursor to activate backtest-expert. Access via /backtest-expertin 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.
canslim-screener
tradermonty/claude-trading-skills · Productivity · same repo
us-stock-analysis
tradermonty/claude-trading-skills · Productivity · same repo
antigravity-design-expert
sickn33/antigravity-awesome-skills · Frontend · tag: expert
interior-design-expert
erichowens/some_claude_skills · Frontend · tag: expert
pwa-expert
erichowens/some_claude_skills · Productivity · tag: expert
blazor-expert
markpitt/claude-skills · Productivity · tag: expert
backtest-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added backtest-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: backtest-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
backtest-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: backtest-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
backtest-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for backtest-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend backtest-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
backtest-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in backtest-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 36