Execute qualquer Skill no Manus
com um clique

Execute qualquer Skill no Manus com um clique

research

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Atualizado14 de junho de 2026 às 14:45

Use when tasks need reusable research pipeline templates, factor screening, parameter sensitivity sweeps, or strategy comparison.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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Fonte

quantskills

quantskills/agent-quantspace

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

Explorador de arquivos

5 arquivos

SKILL.md

readonly

name	research
description	Use when tasks need reusable research pipeline templates, factor screening, parameter sensitivity sweeps, or strategy comparison.

Research Templates

Components

Function	Module	Description
`screen_all_indicators`	`factor_screening.py`	Batch-compute all indicators on a pool, run full_stat, return IC/IR ranking
`param_sweep`	`param_sensitivity.py`	Grid-sweep a factor parameter, return IC/IR vs parameter table
`compare_strategies`	`strategy_comparison.py`	Run multiple factor configs through ModularBacktester, compare Sharpe/MaxDD/Calmar

Usage

from skills.research.factor_screening import screen_all_indicators
from skills.research.param_sensitivity import param_sweep
from skills.research.strategy_comparison import compare_strategies

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name	research
description	Use when tasks need reusable research pipeline templates, factor screening, parameter sensitivity sweeps, or strategy comparison.

Research Templates

Components

Function	Module	Description
`screen_all_indicators`	`factor_screening.py`	Batch-compute all indicators on a pool, run full_stat, return IC/IR ranking
`param_sweep`	`param_sensitivity.py`	Grid-sweep a factor parameter, return IC/IR vs parameter table
`compare_strategies`	`strategy_comparison.py`	Run multiple factor configs through ModularBacktester, compare Sharpe/MaxDD/Calmar

Usage

from skills.research.factor_screening import screen_all_indicators
from skills.research.param_sensitivity import param_sweep
from skills.research.strategy_comparison import compare_strategies