# Research

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

- Skill: `quantskills/research` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add quantskills/research`
- Raw SKILL.md: https://api.skillmd.com/api/skills/quantskills/research/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: quantskills (https://skillmd.com/u/quantskills)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/quantskills/research

---


# Research Templates

## Components

| Function | Module | Description |
|----------|--------|-------------|
| `screen_all_indicators` | `factor_screening.py` | Batch-compute indicators on an explicit panel and return IC/IR ranking |
| `param_sweep` | `param_sensitivity.py` | Grid-sweep one factor parameter on an explicit panel |

## Usage

```python
from skills.research.factor_screening import screen_all_indicators
from skills.research.param_sensitivity import param_sweep
```