TEXT TO QUANT agent skills for Claude Code, Cursor and RevampKey

5 ready-made playbooks that teach an AI agent how to do real TEXT TO QUANT work: which tools to call, what to check first, and when to stop and ask you.

Download RevampKey, free I have it: connect TEXT TO QUANT

Connect TEXT TO QUANT once and all 5 skills install themselves and stay up to date. Mac, Windows and Linux.

All 5 TEXT TO QUANT skills

Each skill is one job. You ask in plain words and the agent loads the skill that matches, then follows its steps.

Start hereAsks before writing24 TEXT TO QUANT tools

Run and read TextToQuant backtests with AI

Connects your TextToQuant account to an AI agent so it can read results, compare versions and run tests. It confirms your account and plan first, and asks before spending credits or deleting anything.

Use it when

You want an agent to read a finished backtest and explain it
You need to know which TextToQuant tools cost credits
An action hit a plan limit and you want to know why

Tools it uses

describe_capabilities
explain_parse
explain_grade
get_backtest
get_backtest_data
get_candles
get_analysis
get_context_trades
filter_by_context
analyze_conditions
get_iterations
diff_iterations
compare_backtests
edit_backtest
custom_benchmark
get_indicator
get_indicator_preview
delete_indicator
create_scan_alert
delete_scan_alert
get_notification_channels
export_pine
cancel_backtest
cancel_portfolio_sweep

Example

Check which plan I'm on, then show me the summary of my last backtest and tell me whether it used credits.

You're on the Power plan. Your last backtest, a mean-reversion strategy on daily SPY data, returned a summary with 142 trades over 6 years. That read was free, so no credits were spent. I haven't re-run it; if you want a new test, I'll confirm the credit cost with you first.

Use in RevampKeyRead the full skill →

Read-only2 TEXT TO QUANT tools

Review a backtest before you trust it

Reads a TEXT TO QUANT backtest for sample size, drawdown, costs, out-of-sample behaviour and parameter sensitivity, then gives a verdict with the caveats stated. It does not run new tests unless you approve them.

Use it when

You have a backtest that looks too good and want to know why
You are deciding whether to act on a strategy result
You want a sanity check on sample size and drawdown before sharing a result

Tools it uses

get_backtest
get_backtest_data

Example

Is my EMA crossover backtest on BTC over 2023 credible, or is it too good to trust?

Verdict: plausible but unproven. The run has 41 trades, all from the 2023 rally, so it covers one regime. Max drawdown was 22% over five months, and removing the single best trade cuts the net return by roughly half. Costs were included, but there was no out-of-sample period. I would hold back 2024 before tuning anything further.

Use in RevampKeyRead the full skill →

Asks before writing8 TEXT TO QUANT tools

Clean up your TextToQuant indicator library

Audits your saved indicators and scan alerts to find orphaned, duplicate and broken items, then proposes what to keep, merge or delete. It asks before removing anything.

Use it when

Your indicator list has grown and you cannot tell what is still used
You suspect duplicate indicators with the same logic under different names
You want to find alerts that no longer route anywhere before a live run

Tools it uses

describe_capabilities
get_indicator
get_indicator_preview
get_notification_channels
get_analysis
get_backtest
delete_indicator
delete_scan_alert

Example

Audit my TextToQuant indicators and scan alerts. Find anything unused or duplicated, and don't delete anything until I approve.

I found 62 indicators and 14 scan alerts. Of the indicators, 41 are unused: 18 have no alert or recent backtest behind them and can be removed, 9 duplicate an existing indicator and can be merged into it, and 14 are live dependencies I'll keep. Two alerts route to a notification channel that no longer exists. I haven't deleted anything; tell me which batch to proceed with.

Use in RevampKeyRead the full skill →

Asks before writing10 TEXT TO QUANT tools

Set up a market scan and alert with AI

Turns a screening idea into a saved scan with alert conditions and a notification channel, testing how often it would fire first. It asks for your explicit approval before creating or deleting any alert.

Use it when

You want to be told when a setup appears across a list of tickers
You want a screen wired to Telegram, email or another channel
You want to check an alert will not flood you before it goes live

Tools it uses

describe_capabilities
analyze_conditions
explain_parse
get_backtest
get_backtest_data
get_context_trades
filter_by_context
get_notification_channels
create_scan_alert
delete_scan_alert

Example

Alert me daily when RSI(14) crosses above 30 on my large-cap universe, sent to my Telegram channel.

Before I create it: the condition fires as an event, about 6 times a week across the universe, mostly in the last two months. Your Telegram channel is enabled. Shall I create the scan with those settings?

Use in RevampKeyRead the full skill →

Read-only7 TEXT TO QUANT tools

Compare strategy iterations in TextToQuant

Compares versions of a trading strategy side by side, checks that the runs are comparable, and tests whether a gain is robust or just curve fitting. It asks before running any new backtest.

Use it when

You tweaked a strategy and want to know if the new version is really better
Two backtests of the same idea show different returns and you need to know why
You want to see which edit actually changed the result

Tools it uses

get_backtest
get_iterations
diff_iterations
compare_backtests
get_context_trades
filter_by_context
analyze_conditions

Example

Compare iteration 3 and iteration 4 of my mean reversion strategy and tell me if the change really helped.

Iteration 4 shows a higher return, but it runs on 2019 to 2024 while iteration 3 covers 2015 to 2024, so they are not comparable yet. Iteration 4 also made 38 trades against 112. I recommend re-running both on the same window before deciding; I will wait for your yes before starting any new backtest.

Use in RevampKeyRead the full skill →

Get all 5 without copying a file

RevampKey adds the skills when you connect TEXT TO QUANT, updates them for you and removes them when you disconnect.

Download RevampKey

How TEXT TO QUANT skills work

Connect TEXT TO QUANT
The TEXT TO QUANT MCP server gives the agent its tools.
Ask in plain words
“Is my EMA crossover backtest on BTC over 2023 credible, or is it too good to trust?” Each SKILL.md says when it applies, so only the one that fits is loaded.
Approve any change
The agent calls the tools in order, checks its work, and shows you any change before it makes it.

How to install TEXT TO QUANT skills

In RevampKey the skills install themselves when you connect TEXT TO QUANT. In other tools each skill is one folder with a SKILL.md file, and you also need the TEXT TO QUANT MCP server connected there.

About 1 minute · nothing to copy

Download RevampKey for Mac, Windows or Linux and sign in.
Open Connectors and connect TEXT TO QUANT. All 5 skills come with it and stay up to date; they go away when you remove the connector.
Ask in plain language, for example “Is my EMA crossover backtest on BTC over 2023 credible, or is it too good to trust?”
Download RevampKeyConnect TEXT TO QUANT · 1 click
Get RevampKey to connect TEXT TO QUANT
RevampKey is a free desktop app for Mac, Windows and Linux. Install it, sign in, and TEXT TO QUANT is one click away with its skills already attached.
Download RevampKey
Not now? Use the skills in your current tool
for s in essentials backtest-strategy-review indicator-library-cleanup market-scan-and-alert-setup strategy-iteration-compare; do curl -fsSL --create-dirs -o .claude/skills/texttoquant-$s/SKILL.md https://revampkey.com/marketplace/texttoquant/skills/$s/SKILL.md done
Other tools

Into this project’s .claude/skills folder

Connect the TEXT TO QUANT MCP server in Claude Code.

Run this in your project folder to add all 5 skills:

for s in essentials backtest-strategy-review indicator-library-cleanup market-scan-and-alert-setup strategy-iteration-compare; do
  curl -fsSL --create-dirs -o .claude/skills/texttoquant-$s/SKILL.md https://revampkey.com/marketplace/texttoquant/skills/$s/SKILL.md
done

Ask in plain language, for example “Is my EMA crossover backtest on BTC over 2023 credible, or is it too good to trust?”

Into the shared .agents/skills folder

Connect the TEXT TO QUANT MCP server in Cursor.

Run this in your project folder to add all 5 skills:

for s in essentials backtest-strategy-review indicator-library-cleanup market-scan-and-alert-setup strategy-iteration-compare; do
  curl -fsSL --create-dirs -o .agents/skills/texttoquant-$s/SKILL.md https://revampkey.com/marketplace/texttoquant/skills/$s/SKILL.md
done

Ask in plain language, for example “Is my EMA crossover backtest on BTC over 2023 credible, or is it too good to trust?”

Into the shared .agents/skills folder

Connect the TEXT TO QUANT MCP server in Codex.

Run this in your project folder to add all 5 skills:

for s in essentials backtest-strategy-review indicator-library-cleanup market-scan-and-alert-setup strategy-iteration-compare; do
  curl -fsSL --create-dirs -o .agents/skills/texttoquant-$s/SKILL.md https://revampkey.com/marketplace/texttoquant/skills/$s/SKILL.md
done

Ask in plain language, for example “Is my EMA crossover backtest on BTC over 2023 credible, or is it too good to trust?”

Into the shared .agents/skills folder

Connect the TEXT TO QUANT MCP server in VS Code.

Run this in your project folder to add all 5 skills:

for s in essentials backtest-strategy-review indicator-library-cleanup market-scan-and-alert-setup strategy-iteration-compare; do
  curl -fsSL --create-dirs -o .agents/skills/texttoquant-$s/SKILL.md https://revampkey.com/marketplace/texttoquant/skills/$s/SKILL.md
done

Ask in plain language, for example “Is my EMA crossover backtest on BTC over 2023 credible, or is it too good to trust?”

RevampKey or copy the files?

In RevampKey

One click when you connect TEXT TO QUANT
Updated for you when a skill improves
Removed when you disconnect
The MCP server is set up for you
800+ other connectors, same way

Download free

Copy into your project

One command per project
Run it again to get updates
You connect the TEXT TO QUANT MCP server yourself
Works in Claude Code, Cursor, Codex and VS Code

See the command

TEXT TO QUANT skills FAQ

What is a TEXT TO QUANT agent skill?

A SKILL.md file: a short playbook an AI agent loads when your request matches it. Each TEXT TO QUANT skill describes one job, which TEXT TO QUANT tools to use in which order, what to check first and when to stop and ask you.

Do the TEXT TO QUANT skills change anything on their own?

2 of the 5 only read. The others tell the agent to show you the change and wait for a yes before it creates, edits or deletes anything in TEXT TO QUANT.

Which tools can use these skills?

Any agent that reads the open Agent Skills format: Claude Code, Cursor, Codex, VS Code with Copilot and RevampKey. In RevampKey they are attached when you connect TEXT TO QUANT; elsewhere you copy the folders into your project or skills directory.

Do I need the TEXT TO QUANT MCP server too?

Yes. The skills tell the agent how to do the work; the TEXT TO QUANT MCP server gives it the tools to do it. The TEXT TO QUANT MCP setup guide covers every client.

TEXT TO QUANT MCP server setup · This page as Markdown

Put TEXT TO QUANT’s best workflows in your agent

Download RevampKey, connect TEXT TO QUANT and ask your first question in about a minute.

Download RevampKey Connect TEXT TO QUANT · 1 click

All 5 TEXT TO QUANT skills

Run and read TextToQuant backtests with AI

Use it when

Tools it uses

Review a backtest before you trust it

Use it when

Tools it uses

Clean up your TextToQuant indicator library

Use it when

Tools it uses

Set up a market scan and alert with AI

Use it when

Tools it uses

Compare strategy iterations in TextToQuant

Use it when

Tools it uses

Get all 5 without copying a file

How TEXT TO QUANT skills work

How to install TEXT TO QUANT skills

RevampKey or copy the files?

In RevampKey

Copy into your project

TEXT TO QUANT skills FAQ

Put TEXT TO QUANT’s best workflows in your agent

Skills for related tools