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/nfl-data

NFL data via ESPN public endpoints plus an nflverse backend for schedules, weekly rosters, play-by-play, and normalized player/team stat tables. Zero config, no API keys. Use when: user asks about NFL scores, standings, team rosters, schedules, game stats, box scores,

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sports-skills
20225 skills
Install
$ npx -y skills add machina-sports/sports-skills --skill nfl-data --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/nfl-data

Context preview

The summary Claude sees to decide when to auto-load this skill.

NFL data via ESPN public endpoints plus an nflverse backend for schedules, weekly rosters, play-by-play, and normalized player/team stat tables. Zero config, no API keys. Use when: user asks about NFL scores, standings, team rosters, schedules, game stats, box scores,

SKILL.md

nfl-data.SKILL.md
name: nfl-data
description: |
  NFL data via ESPN public endpoints plus an nflverse backend for schedules, weekly rosters, play-by-play, and normalized player/team stat tables. Zero config, no API keys.

  Use when: user asks about NFL scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, depth charts, team/player statistics, or NFL news.
  Don't use when: user asks about football/soccer (use football-data), college football (use cfb-data), or other sports.
license: MIT
metadata:
  author: machina-sports
  version: "0.1.0"

NFL Data

Before writing queries, consult `references/api-reference.md` for endpoints, ID conventions, and data shapes.

Setup

Before first use, check if the CLI is available:

which sports-skills || pip install sports-skills

If `pip install` fails (package not found or Python version error), install from GitHub:

pip install git+https://github.com/machina-sports/sports-skills.git

The package requires Python 3.10+. If your default Python is older, use a specific version:

python3 --version  # check version
# If < 3.10, try: python3.12 -m pip install sports-skills
# On macOS with Homebrew: /opt/homebrew/bin/python3.12 -m pip install sports-skills

No API keys required.

For nflverse-backed commands (`get_nflverse_*`), install the NFL extra:

pip install sports-skills[nfl]

On Python 3.10+ this installs `nflreadpy` (the preferred backend) plus `pyarrow`, which is needed for most nflverse data beyond schedules. On Python 3.9 it installs `nfl-data-py` instead, since `nflreadpy` requires 3.10+.

The `nfl-data-py` backend is a reduced fallback: it cannot serve `get_nflverse_team_stats`, which returns an explanatory error there. Use Python 3.10+ for full nflverse coverage.

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills nfl get_scoreboard
sports-skills nfl get_standings --season=2025
sports-skills nfl get_teams

Python SDK (alternative):

from sports_skills import nfl

scores = nfl.get_scoreboard({})
standings = nfl.get_standings({"params": {"season": "2025"}})

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

  • Season year is derived from the system prompt's `currentDate` — never hardcoded.
  • If only a team name is provided, call `get_teams` to resolve the team ID before using team-specific commands.

Choosing the Season

Derive the current year from the system prompt's date (e.g., `currentDate: 2026-02-16` → current year is 2026).

  • **If the user specifies a season**, use it as-is.
  • **If the user says "current", "this season", or doesn't specify**: The NFL season runs September–February. If the current month is March–August, use `season = current_year` (upcoming season). If September–February, the active season started in the previous calendar year if you're in Jan/Feb, otherwise current year.

Commands

| Command | Description | |---|---| | `get_scoreboard` | Live/recent NFL scores | | `get_standings` | Standings by conference and division | | `get_teams` | All 32 NFL teams | | `get_team_roster` | Full roster for a team | | `get_team_schedule` | Schedule for a specific team | | `get_game_summary` | Detailed box score and scoring plays | | `get_leaders` | NFL statistical leaders | | `get_news` | NFL news articles | | `get_play_by_play` | Full play-by-play for a game | | `get_win_probability` | Win probability chart data | | `get_schedule` | Season schedule by week | | `get_injuries` | Injury reports across all teams | | `get_transactions` | Recent transactions | | `get_futures` | Futures/odds markets | | `get_depth_chart` | Depth chart for a team | | `get_team_stats` | Team statistical profile | | `get_player_stats` | Player statistical profile | | `get_nflverse_schedule` | nflverse-backed schedules/results table (carries `espn_event_id`) | | `get_nflverse_weekly_rosters` | nflverse-backed weekly rosters | | `get_nflverse_player_stats` | nflverse-backed player stats — season totals by default | | `get_nflverse_team_stats` | nflverse-backed team stats — season totals by default | | `get_nflverse_play_by_play` | nflverse-backed play-by-play rows |

See `references/api-reference.md` for full parameter lists and return shapes.

Using ESPN and nflverse Together

The two backends use different identifier systems. `get_nflverse_schedule` is the bridge: each event carries `espn_event_id`, which is exactly the ESPN event ID.

To combine nflverse analytics (EPA, win probability, betting lines) with ESPN detail (box scores, drives) for the same game: 1. Call `get_nflverse_schedule(season=..., week=...)`. 2. Read `espn_event_id` off the event you want. 3. Pass it as `event_id` to `get_game_summary`, `get_play_by_play`, or `get_win_probability`.

Two things that do not line up automatically:

  • **Team abbreviations.** ESPN uses `LAR` and `WSH`; nflverse uses `LA` and `WAS`.

The `get_nflverse_*` functions accept either and translate. Going the other way (nflverse → ESPN), resolve via `get_teams`.

  • **Player IDs.** ESPN athlete IDs and nflverse GSIS IDs (`00-0033873`) are

unrelated, and no crosswalk is available. Match on name plus team instead.

Field to watch on schedule rows: `total` is the combined points actually scored, while `total_line` is the betting over/under. Use `total_line` for market work.

Examples

Example 1: Today's scores User says: "What are today's NFL scores?" Actions: 1. Call `get_scoreboard()` Result: All live and recent NFL games with scores and status

Example 2: Conference standings User says: "Show me the AFC standings" Actions: 1. Derive season year from `currentDate` 2. Call `get_standings(season=<derived_year>)` 3. Filter results for AFC conference Result: AFC standings table with W-L-T, PCT, PF, PA per team

Example 3: Team roster User says: "Who's on the Chiefs roster?" Actions: 1. Call `get_team_roster(team_id="12")

Read more
Ships withsports-skills

Open-source agent skills for live sports data and prediction markets. Built for the Agent Skills spec. Works with sportsclaw, OpenClaw, Claude Code, Cursor, Copilot, Gemini CLI, Hermes Agent, and every major AI agent. Zero API keys. Zero signup.

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Repo: machina-sports/sports-skills

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