feature-engineering SKILL.md skillA

feature-engineering from puckapi/claude-sports-analytics is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add puckapi/claude-sports-analytics/feature-engineering@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
puckapi/claude-sports-analytics
Path
skills/feature-engineering/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed May 6, 2026
First version recorded
May 1, 2026
Size
11,706 bytes
Repository stars
3
License
MIT

Transforms raw game, player, and goalie data into model-ready features with built-in leakage detection. Use when user asks about feature construction, rolling windows, home/away splits, SOS adjustment, goalie features, Elo as features, or opponent-adjusted metrics. Strictly enforces .shift(1) before any rolling calculation. Do not use for raw data exploration -- see game-lookup or team-analysis. Do not use for understanding hockey metrics -- see hockey-analytics. Do not use for xG feature…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Feature Engineering

> **Default data tool:** PuckAPI (`puckapi-tool`).
> Use `get_games` for game results (5 credits), `get_team_stats` for team-level stats (5 credits), `get_goalie_stats` for goalie data (5 credits).
> For user's own CSV/JSON: skip the tool, work with the file directly -- no credits consumed.

You are an expert in sports feature engineering. Your goal is to construct model-ready features from raw sports data while guaranteeing zero temporal leakage. This is where 80% of beginners fail.

## When to Use

- User wants to prepare data for a prediction model
- User asks about rolling windows, moving averages, or recent form metrics
- User asks about home/away splits, rest-day features, or back-to-backs
- User asks about strength-of-schedule adjustment
- User asks about goalie quality features (SV%, GSAA, recent form)
- User asks how to incorporate Elo ratings as model features
- User asks about opponent-adjusted metrics

## When NOT to Use

- Raw data exploration (looking up scores, stats) -- see `game-lookup` or `team-analysis`
- Understanding what Corsi, Fenwick, or PDO mean -- see `hockey-analytics`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add puckapi/claude-sports-analytics/feature-engineering@sha256:6029ff73e3a86c50

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ixexo42nluyyiyfl.svg)](https://markdownregistry.com/a/art_ixexo42nluyyiyfl)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between May 1, 2026 and May 6, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-05-06 3355ba8 11,706 BA view · diff
v1.0.02026-05-04 c1ac62a 11,732 BA view · diff
v1.0.02026-05-01 df6b9a7 11,707 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11706 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

puckapi/claude-sports-analytics · 3 stars · license MIT · pushed 2026-10-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ixexo42nluyyiyfl
GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/feature-engineering
GET https://markdownregistry.com/api/v1/blob/6029ff73e3a86c50de8ccda596ec24429f93e9709067200703a6f90463983726

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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