/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,
$ npx -y skills add machina-sports/sports-skills --skill nfl-data --agent claude-codeHow 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
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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.mdname: 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
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")
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