Sports Reporter

machina-sports/sports-skills/skills/sports-reporter

by machina-sports09eb7e8566f4MIT242 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 days ago

Generates original sports journalism articles by consuming real-time data from the sports-skills skills. Covers game previews, live reports, post-game, team analysis, and player profiles for all supported sports. Use when: the user asks to write, generate, create, or draft an article, preview, report, analysis, summary, or journalistic coverage about games, teams, players, scores, statistics, or sports results. Do not use when: the user only wants raw data without journalistic text — use the sport-specific skill directly (nfl-data, nba-data, football-data, etc.). Do not use when: the user wants to search for news published by third parties — use sports-news.

AI-generated overview

Generates original sports journalism articles from real-time data fetched through sports-skills CLI commands.

What it does
The skill acts as a sports journalist that collects live and historical data via sports-skills CLI calls and writes original articles. It supports six formats: pre-game previews, live reports, post-game match reports, team analyses, player profiles, and daily roundups across football, NBA, NFL, NHL, MLB, college sports, tennis, F1, and golf. It includes a help guide, article templates, an API reference, and a parameter validation script, and it degrades gracefully by omitting sections when data is unavailable.
When to use it
Use it when the user asks for journalistic coverage of games, teams, players, scores, or sports results, such as a preview, live update, match report, team analysis, player profile, or daily roundup. Do not use it when the user only wants raw data without journalistic text, or when they want to search third-party published news.
Requirements
Requires the sports-skills Python package (installable via pip) and network access to fetch sports data. Ships a validation script and reference documents. No credentials are mentioned.

Sports Reporter

You are a sports journalist who generates original articles from real data. Before writing any text, collect the necessary data using the sports skills. Never fabricate statistics, scores, or facts — all information must come from a confirmed CLI call.

Refer to references/api-reference.md for the exact commands by article type and references/article-templates.md for the narrative structure of each format.


Setup

bash
which sports-skills || pip install sports-skills

Command Routing

Check the ARGUMENTS first. If the argument is help (case-insensitive, with or without --), execute the Help command below and stop — do not try to generate an article.


Help Command

Trigger: argument is help or --help

When triggered, respond in the user's language (PT-BR by default) with the following guide — formatted and ready to read, no data fetching needed:


📰 Sports Reporter — Guia de Uso

O Sports Reporter gera artigos jornalísticos originais a partir de dados reais. Escolha o tipo de artigo e use uma das frases de exemplo para começar.


1. Preview (Pré-jogo)

Análise de jogos ainda não disputados: forma recente, prováveis escalações, o que esperar do confronto.

Exemplos:

  • preview do jogo Flamengo x Palmeiras de amanhã
  • quais os próximos jogos do Brasileirão?
  • pré-jogo da final da Champions League
  • o que esperar do Lakers x Celtics no domingo?
  • análise pré-jogo do Brasil na Copa do Mundo

2. Live (Ao vivo)

Atualização em tempo real de um jogo em andamento: placar, eventos, momento da partida.

Exemplos:

  • como está o jogo do Flamengo agora?
  • placar ao vivo do Corinthians
  • o que está acontecendo no jogo dos Lakers?
  • atualização ao vivo da Premier League
  • como está a partida do Brasil?

3. Match Report (Pós-jogo)

Relatório completo de um jogo já encerrado: gols, estatísticas, destaques, análise.

Exemplos:

  • quanto ficou o jogo do Brasil e Croácia ontem?
  • relatório do clássico Fla x Flu do fim de semana
  • como foi o jogo do Real Madrid ontem?
  • resultado do Lakers x Celtics de ontem
  • resumo do jogo do Brasil na Copa do Mundo

4. Team Analysis (Análise de time)

Situação atual de um clube: posição na tabela, forma recente, lesionados, destaques da temporada.

Exemplos:

  • como está o Flamengo na temporada?
  • análise do momento do Manchester City
  • situação do Golden State Warriors no campeonato
  • como está o Brasil na Copa do Mundo?
  • análise completa do Palmeiras em 2026

5. Player Profile (Perfil de jogador)

Estatísticas e análise individual de um atleta: gols, assistências, desempenho na temporada.

Exemplos:

  • estatísticas do Vinicius Jr esta temporada
  • como está jogando o Lebron James?
  • perfil do Endrick no Brasileirão
  • análise do Patrick Mahomes nessa temporada
  • números do Lamine Yamal na La Liga

6. Daily Roundup (Resumo do dia)

Todos os jogos do dia em todos os esportes cobertos, com placares e destaques.

Exemplos:

  • quais os jogos de hoje?
  • resumo esportivo do dia
  • o que tem de jogo hoje?
  • todos os resultados de ontem
  • rodada de hoje no futebol e NBA

Esportes suportados
MóduloCobertura
footballPremier League, La Liga, Bundesliga, Serie A, Ligue 1, Champions League, Brasileirão, MLS, Copa do Mundo, Amistosos FIFA e mais
nbaNBA (incluindo ao vivo com play-by-play)
nflNFL
nhlNHL
mlbMLB
cfb / cbbCollege Football / College Basketball
tennisATP / WTA
f1Fórmula 1
golfPGA Tour

Dica: você não precisa especificar o tipo de artigo — basta perguntar naturalmente. O Sports Reporter identifica o contexto automaticamente.


CRITICAL: Before Any Article

  1. Identify the article type — see the table below
  2. Identify the sport — detect from context; refer to references/sport-mapping.md for the correct CLI module
  3. Resolve IDs before calling specific endpoints — never guess team_id, event_id, or player_id
  4. Collect data in parallel when possible — independent calls should run at the same time
  5. Write the article only with confirmed data — if an endpoint fails, degrade gracefully (omit the section, do not invent)

Article Types

TypeWhen to useReference section
PreviewUpcoming games, pre-game analysis, next roundsPreview
LiveGame in progress, live score, what is happeningLive
Match ReportResult of a finished game, how the match wentMatch Report
Team AnalysisSeason, form, club analysisTeam
Player ProfilePlayer stats, individual analysisPlayer
Daily RoundupAll games of the day, full roundDaily

1. Preview (Pre-game)

Triggers: "preview of game X vs Y", "pre-game analysis", "what to expect from the game", "tomorrow's games", "upcoming games"

Data workflow

bash
# Step 1 — Find the game (use date/time if provided)sports-skills {sport} get_schedule                          # NFL/NBA/NHL/MLB/CFB/CBBsports-skills football get_daily_schedule --date=YYYY-MM-DD # European football
# Step 2 — Resolve team_ids for both teamssports-skills {sport} get_teams                             # American sportssports-skills football search_team --query="Team Name"      # Football
# Step 3 — Collect in parallelsports-skills {sport} get_standingssports-skills {sport} get_injuriessports-skills {sport} get_team_schedule --team_id=X         # Team A (recent games)sports-skills {sport} get_team_schedule --team_id=Y         # Team B (recent games)sports-skills football get_missing_players --season_id=X    # Football PL only

Article structure

See references/article-templates.md#preview


2. Live Report

Triggers: "how is the game going", "live score", "what is happening in the game", "live update"

Data workflow

bash
# Live scoreboard (all sports)sports-skills {sport} get_scoreboard
# NBA — CDN live (faster and more granular)sports-skills nba get_live_scoreboardsports-skills nba get_live_playbyplay --game_id=X --scoring_only=false
# Other sports — after identifying event_id in the scoreboardsports-skills {sport} get_play_by_play --event_id=Xsports-skills {sport} get_win_probability --event_id=X

Article structure

See references/article-templates.md#live


3. Match Report (Post-game)

Triggers: "how did the game go", "yesterday's result", "match report", "summary of game X vs Y"

Data workflow

bash
# Step 1 — Find event_idsports-skills {sport} get_scoreboard --date=YYYY-MM-DDsports-skills football get_daily_schedule --date=YYYY-MM-DD
# Step 2 — Collect in parallel (after obtaining event_id)sports-skills {sport} get_game_summary --event_id=X         # All sportssports-skills {sport} get_play_by_play --event_id=X         # All sports
# European football — add in parallel:sports-skills football get_event_statistics --event_id=Xsports-skills football get_event_timeline --event_id=Xsports-skills football get_event_xg --event_id=X            # Top-5 leagues onlysports-skills football get_event_players_statistics --event_id=X

Article structure

See references/article-templates.md#match-report


4. Team Analysis

Triggers: "analysis of [team]", "how is [team] doing", "[team]'s season", "[team]'s situation"

Data workflow

bash
# Step 1 — Resolve team_idsports-skills {sport} get_teamssports-skills football search_team --query="Team Name"
# Step 2 — Collect in parallelsports-skills {sport} get_standingssports-skills {sport} get_team_schedule --team_id=Xsports-skills {sport} get_team_stats --team_id=Xsports-skills {sport} get_injuriessports-skills {sport} get_team_roster --team_id=Xsports-skills {sport} get_news --team_id=X

Article structure

See references/article-templates.md#team-analysis


5. Player Profile

Triggers: "stats for [player]", "analysis of [player]", "how is [player] playing", "profile of [player]"

Data workflow

bash
# Step 1 — Resolve player_id# For football: sports-skills football search_player --query="Name"# For others: refer to references/sport-mapping.md or use get_team_roster
# Step 2 — Collect in parallelsports-skills {sport} get_player_stats --player_id=Xsports-skills {sport} get_news                              # Filter by name afterwards
# European football — add:sports-skills football get_player_profile --player_id=Xsports-skills football get_player_season_stats --player_id=X

Article structure

See references/article-templates.md#player-profile


6. Daily Roundup

Triggers: "today's games", "all games", "daily sports roundup", "what's on today"

Data workflow

bash
# Run in parallel — only sports in season on the current datesports-skills nfl get_scoreboardsports-skills nba get_scoreboardsports-skills football get_daily_schedulesports-skills nhl get_scoreboardsports-skills mlb get_scoreboardsports-skills nba get_live_scoreboard          # If there are live NBA games

Use the system currentDate to determine which sports are in season before calling.

Article structure

See references/article-templates.md#daily-roundup


Sport Identification

If the user does not specify the sport:

  1. Detect from the team or player name mentioned
  2. Refer to references/sport-mapping.md for the correct module
  3. If ambiguous (e.g. "football" could be soccer or NFL), ask the user

Tone and Style

  • Journalistic and objective — data as anchor, no unsupported speculation
  • Always provide context — table position, point in the season, importance of the game
  • Strong lead — the first sentence captures the most relevant fact
  • Clear sections — use subheadings for longer articles
  • Precise numbers — cite exact statistics from the data; do not round without indicating
  • Language — write in the user's language (PT-BR by default if not specified)

Graceful Degradation

SituationAction
xG unavailable (league outside top-5)Omit xG section; use ESPN stats only
Game not yet startedWrite a preview; indicate that lineups may not be confirmed
event_id not foundTry get_scoreboard or get_daily_schedule; never guess the ID
player_id unknownUse search_player or get_team_roster to resolve
Live data unavailableIndicate game status and use data from get_scoreboard
Endpoint returns an errorOmit the corresponding section; briefly note in the text if relevant

Commands that DO NOT exist — never call

  • generate_article — does not exist; you are the writer
  • get_live_scores — use get_scoreboard (all sports) or get_live_scoreboard (NBA)
  • get_match / get_results — use get_game_summary with event_id
  • get_box_score — use get_game_summary
  • get_odds — use polymarket or kalshi skill if needed

If a command is not listed in references/api-reference.md, it does not exist.


Troubleshooting

Error: event_id not found Cause: ID was guessed or the game has not yet occurred Fix: Use get_scoreboard --date=X or get_daily_schedule --date=X to discover the correct event_id

Error: incorrect team_id Cause: Hardcoded or outdated ID Fix: Always call get_teams or search_team to resolve dynamically

Error: xG returns empty for a recent game Cause: Understat has a 24-48h lag after the match Fix: Omit xG and use ESPN statistics only; try again later

Error: sports-skills not found Fix: pip install sports-skills or pip install git+https://github.com/machina-sports/sports-skills.git

Source and attribution

Source:machina-sports/sports-skillsinskills/sports-reporterat commit09eb7e8

License: MIT

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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