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Football Data

pormachina-sports·machina-sports· v1.0.0 · atualizado em 2026-04-10
81
Score

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football-datasports-apisoccer-dataespn-apiunderstat-apitransfermarkt-apidata-retrieval
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Documento do Skill

SKILL.mdfootball-data/workflow
1. Determine the user's intent (e.g., get standings, schedule, team info).
2. Identify the relevant league, season, and team from the user's query.
3. If the season is not specified, use `get_current_season` to determine the current season ID.
4. Select the appropriate API function based on the user's intent (e.g., `get_season_standings`, `get_daily_schedule`).
5. Call the API function with the correct parameters (season ID, team ID, etc.).
6. Parse the API response and extract the relevant information.
7. Format the information into a user-friendly response.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Football Data
football-data
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.ACT
5.REFLECT
Triggers9
get football scoresfind soccer standingsretrieve match schedulesget team statisticssearch for a football teamfind player informationget premier league injury newsget current season informationget match lineups

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download football-data
$ synaptic skills detail football-data
$ synaptic skills live football-data

Links

GitHub Repository