Skills

A skill is a package of structured files that teaches an AI coding agent how to work with a specific tool or framework. The skill below was generated by Great Docs from this project’s documentation. Install it in your agent and it will be able to run commands, edit configuration, write content, and troubleshoot problems without step-by-step guidance from you.

Any agent — install with npx:

npx skills add https://mjfrigaard.github.io/baseball-trajectory/

Codex / OpenCode

Tell the agent:
Fetch the skill file at https://mjfrigaard.github.io/baseball-trajectory/skill.md and follow the instructions.

Manual — download the skill file:

curl -O https://mjfrigaard.github.io/baseball-trajectory/skill.md

Or browse the SKILL.md file.

SKILL.md

---
name: baseball-trajectory
description: >
  Baseball trajectory modeling and visualization. Use when writing Python code that uses the baseball_trajectory package.
compatibility: Requires Python >=3.10.
---

# baseball_trajectory

Baseball trajectory modeling and visualization

## Installation

```bash
pip install baseball-trajectory
```

## API overview

### Data

Player search and per-player career queries against the MLB Stats API.

- `data.refresh_cache`
- `data.get_player_career_totals`
- `data.search_player`
- `data.get_batting_career`
- `data.get_pitching_career`

### Model

Weighted quadratic aging-curve fit and career summaries.

- `model.is_lower_better`
- `model.fit_player_curve`
- `model.fit_aging_curve`
- `model.predict_curve`
- `model.summarize_career`
- `model.BATTING_METRICS`
- `model.PITCHING_METRICS`

### Similarity

Bill James similarity scores.

- `similarity.position_value`
- `similarity.similarity_score`
- `similarity.find_similar_players`
- `similarity.POSITION_VALUE`

### Plots

Matplotlib trajectory charts.

- `plots.predict_curve`
- `plots.plot_trajectory`
- `plots.plot_empty`
- `plots.plot_trajectories_facet`
- `plots.plot_peak_vs_curvature`

## Resources

- [Full documentation](https://mjfrigaard.github.io/baseball-trajectory/)
- [llms.txt](llms.txt) — Indexed API reference for LLMs
- [llms-full.txt](llms-full.txt) — Comprehensive documentation for LLMs