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Nhl Data

  • 531 installs
  • 201 repo stars
  • Updated August 5, 2026
  • machina-sports/sports-skills

nhl-data is an agent skill that ingests NHL schedules, shifts, shot events, and goalie stats for developers building hockey analytics sites, fantasy leagues, or automated highlight and recap generation pipelines.

About

nhl-data in machina-sports/sports-skills helps developers pull structured NHL game data into downstream analytics and content systems. The skill covers schedules, player shifts, shot events, and goalie statistics—the core event streams hockey analytics sites and fantasy league backends require. Developers reach for nhl-data when building recap generators, highlight automation, shot-chart visualizations, or fantasy scoring engines that need consistent NHL feed ingestion rather than manual CSV imports. Agents use it to structure integration conversations around which event types to capture and how pipelines should normalize shifts and shots for querying. Typical outputs include ingestion plans and normalized datasets ready for warehouse loads or real-time APIs. Part of the machina-sports sports-skills collection, nhl-data complements other league-specific skills when products expand beyond hockey but stays focused on NHL event schemas. Triggers include NHL data pipeline, hockey shot events, goalie stats ingestion, fantasy league feeds, and automated game recap generation.

  • Game schedules and live state updates
  • Shot, goal, and possession event feeds
  • Skater and goalie performance tables
  • Line combination and shift summaries
  • Content and model-ready parquet exports

Nhl Data by the numbers

  • 531 all-time installs (skills.sh)
  • +7 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #435 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/machina-sports/sports-skills --skill nhl-data

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Listed on Skillselion
Installs531
repo stars201
Last updatedAugust 5, 2026
Repositorymachina-sports/sports-skills

How do you ingest NHL shot and shift data?

Ingest NHL schedules, shifts, shot events, and goalie stats for hockey analytics sites, fantasy leagues, or automated highlight and recap generation pipelines.

Who is it for?

Developers building hockey analytics dashboards, fantasy league backends, or automated NHL highlight and recap generation systems.

Skip if: Non-hockey sports data projects or teams that only need finished visualizations without NHL feed ingestion design.

When should I use this skill?

User asks for NHL data ingestion, hockey shot events, shift stats, goalie metrics, fantasy feeds, or recap pipeline sources.

What you get

Ingested NHL schedules, shift logs, shot events, and goalie statistics ready for analytics, fantasy scoring, or recap pipelines.

  • NHL ingestion plan
  • Normalized event datasets

Files

SKILL.mdMarkdownGitHub ↗

NHL 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 with a Python version error, the package requires Python 3.10+. Find a compatible Python:

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.

Quick Start

Prefer the CLI — it avoids Python import path issues:

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

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: 2026-02-18 → 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 NHL season runs October–June. If the current month is October–December, the active season year matches the current year. If January–June, the active season started the previous calendar year (use that year as the season).
  • Example: Current date is February 2026 → active season started October 2025 → use season 2025.

Commands

CommandDescription
get_scoreboardLive/recent NHL scores
get_standingsStandings by conference and division
get_teamsAll NHL teams
get_team_rosterFull roster for a team
get_team_scheduleSchedule for a specific team
get_game_summaryDetailed box score and scoring plays
get_leadersNHL statistical leaders
get_newsNHL news articles
get_play_by_playFull play-by-play for a game
get_scheduleSchedule for a specific date or season
get_injuriesInjury reports across all teams
get_transactionsRecent transactions
get_futuresFutures/odds markets
get_team_statsTeam statistical profile
get_player_statsPlayer statistical profile

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

Examples

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

Example 2: Conference standings User says: "Show me the Eastern Conference standings" Actions: 1. Derive season year from currentDate 2. Call get_standings(season=<derived_year>) 3. Filter results for Eastern Conference Result: Eastern Conference standings with W-L-OTL, points, regulation wins

Example 3: Team roster User says: "Who's on the Maple Leafs roster?" Actions: 1. Call get_team_roster(team_id="21") Result: Full Maple Leafs roster with name, position, jersey number, shoots/catches

Example 4: Game box score User says: "Show me the full box score for last night's Bruins game" Actions: 1. Call get_scoreboard(date="<yesterday>") to find the event_id 2. Call get_game_summary(event_id=<id>) for full box score Result: Complete box score with per-player stats and scoring plays

Example 5: Stanley Cup odds User says: "What are the Stanley Cup odds?" Actions: 1. Call get_futures(limit=10) Result: Top Stanley Cup contenders with odds values

Example 6: Player statistics User says: "Show me Connor McDavid's stats" Actions: 1. Derive season year from currentDate 2. Call get_player_stats(player_id="3895074", season_year=<derived_year>) Result: Season stats by category with value, rank, and per-game averages

Commands that DO NOT exist — never call these

  • ~~get_odds~~ / ~~get_betting_odds~~ — not available. For prediction market odds, use the polymarket or kalshi skill.
  • ~~search_teams~~ — does not exist. Use get_teams instead.
  • ~~get_box_score~~ — does not exist. Use get_game_summary instead.
  • ~~get_player_ratings~~ — does not exist. Use get_player_stats instead.

If a command is not listed in the Commands table above, it does not exist.

Error Handling

When a command fails, do not surface raw errors to the user. Instead: 1. Catch silently and try alternatives 2. If team name given instead of ID, use get_teams to find the ID first 3. Only report failure with a clean message after exhausting alternatives

Troubleshooting

Error: sports-skills command not found Cause: Package not installed Solution: Run pip install sports-skills

Error: Team not found by ID Cause: Wrong or outdated ESPN team ID used Solution: Call get_teams to get the current list of all NHL teams with their IDs (expansion teams like the Seattle Kraken and Utah Mammoth have non-sequential IDs)

Error: No data returned for a future game Cause: ESPN only returns data for completed or in-progress games Solution: Use get_schedule to see upcoming game details; get_scoreboard only covers active/recent games

Error: Offseason — scoreboard returns 0 events Cause: No games scheduled during the offseason (July–September) Solution: Use get_standings or get_news instead; use get_schedule to find when the season resumes

Related skills

How it compares

Pick nhl-data for NHL-specific ingestion design; pick generic ETL skills when the sport and event schema are already defined outside hockey.

FAQ

What NHL data does nhl-data ingest?

nhl-data covers NHL schedules, player shifts, shot events, and goalie statistics—the event streams hockey analytics sites, fantasy backends, and automated recap pipelines typically require.

What projects benefit from nhl-data?

nhl-data fits developers building hockey analytics dashboards, fantasy league scoring engines, or automated highlight and recap generators that need structured NHL feed ingestion.

Data Science & MLanalyticspipelines

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