shipp-sports
Real-time sports data skill for Claude Code, powered by Shipp.ai.
What This Skill Does
shipp-sports gives Claude access to live sports data across three major sport
categories: NBA (basketball), MLB (baseball), and Soccer (global
football). It combines Shipp.ai's real-time event feeds with curated external
data sources to deliver comprehensive sports intelligence.
Live data via Shipp.ai:
- Real-time scores for in-progress games
- Daily and upcoming game schedules
- Play-by-play event streams (cursor-based polling)
Enriched data via external sources:
- Player statistics and season averages
- Team rosters and depth charts
- League standings and tables
- Injury reports and roster moves
Supported Sports and Leagues
| Sport | Shipp Param | Leagues / Competitions |
|---|---|---|
| NBA | nba |
NBA regular season, playoffs, All-Star |
| MLB | mlb |
MLB regular season, spring training, postseason |
| Soccer | soccer |
Premier League, La Liga, Champions League, and more |
Setup
1. Get Your Shipp.ai API Key
- Go to platform.shipp.ai
- Create an account or sign in
- Navigate to Settings > API Keys
- Generate a new key
- Set the environment variable:
export SHIPP_API_KEY="your-api-key-here"
2. (Optional) Football-Data.org API Key
For soccer standings and team data enrichment:
- Register at football-data.org
- The free tier provides 10 requests/minute
- Set the environment variable:
export FOOTBALL_DATA_API_KEY="your-key-here"
3. Install Dependencies
pip install requests
No other dependencies are required. The skill uses only the Python standard
library plus requests.
Usage Examples
NBA
"What are tonight's NBA scores?"
"Show me live play-by-play for the Celtics game"
"What are LeBron's stats this season?"
"Who's injured on the Warriors?"
"Give me the current NBA standings race"
MLB
"When do pitchers and catchers report for spring training?"
"Show me today's MLB schedule"
"What's the Yankees' 40-man roster?"
"Who are the top prospects in spring training?"
"Give me injury updates for the Dodgers"
Soccer
"What are today's Premier League scores?"
"Show me the La Liga standings"
"When is the next Champions League match?"
"Give me live play-by-play for the Arsenal match"
"What's the current Premier League table?"
Data Available Per Sport
NBA (Mid-Season — February 2026)
| Data Point | Source | Availability |
|---|---|---|
| Live scores | Shipp.ai | Real-time (polling) |
| Game schedule | Shipp.ai | Daily / upcoming |
| Play-by-play | Shipp.ai | Live games |
| Player stats | balldontlie | Season / career |
| Injury reports | Public feeds | Updated daily |
MLB (Spring Training Starting — February 2026)
| Data Point | Source | Availability |
|---|---|---|
| Live scores | Shipp.ai | Real-time (polling) |
| Game schedule | Shipp.ai | Daily / upcoming |
| Play-by-play | Shipp.ai | Live games |
| Player stats | MLB Stats API | Season / career |
| Rosters | MLB Stats API | Current 40-man |
| Injury reports | Public feeds | Updated daily |
Soccer (Leagues in Progress — February 2026)
| Data Point | Source | Availability |
|---|---|---|
| Live scores | Shipp.ai | Real-time (polling) |
| Game schedule | Shipp.ai | Daily / upcoming |
| Play-by-play | Shipp.ai | Live matches |
| Standings | football-data.org | Updated per matchday |
| Team data | football-data.org | Current season |
Architecture
User Query
|
v
shipp_wrapper.py (unified entry point)
|
+---> sports_data.py (Shipp.ai: live scores, schedule, play-by-play)
|
+---> external_sources.py (balldontlie, MLB Stats API, football-data.org)
|
v
Merged Response with Source Attribution
The wrapper tries Shipp.ai first for live/schedule data, then enriches or falls back to external sources for stats, standings, and injury data.
API Reference
Shipp.ai Endpoints Used
| Method | Endpoint | Purpose |
|---|---|---|
| POST | /connections/create |
Create a sport connection |
| POST | /connections/{id} |
Poll for events |
| GET | /connections |
List active connections |
| GET | /sports/{sport}/schedule |
Get game schedule |
External Endpoints Used
| API | Base URL | Auth Required |
|---|---|---|
| balldontlie | https://api.balldontlie.io/v1 |
No |
| MLB Stats API | https://statsapi.mlb.com/api/v1 |
No |
| football-data.org | https://api.football-data.org/v4 |
Yes (free) |
Error Handling
The skill handles all standard error scenarios:
- 400 Bad Request: Invalid parameters — logs and returns helpful message
- 401 Unauthorized: Invalid API key — prompts for reconfiguration
- 402 Payment Required: Plan limit reached — notifies user
- 429 Rate Limited: Automatic exponential backoff with retry
- 5xx Server Error: Retry with backoff, fall back to external sources
Documentation
- Shipp.ai Docs: docs.shipp.ai
- Shipp.ai Platform: platform.shipp.ai
- API Reference: docs.shipp.ai/api
License
This skill is part of the Shipp.ai branded skill collection.
Release files for shipp-sports 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| shipp_sports-0.1.0.tar.gz | 45.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| shipp_sports-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 66.0 kB
Release files / shipp_sports-0.1.0.tar.gz
| Download URL | shipp_sports-0.1.0.tar.gz |
|---|---|
| Size | 45.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e92daf2a5c2c746ce17541215b187759921832dd9a58a58135d480dbc4c87635
|
|
BLAKE2b-256 checksum How to use checksums |
c21059591ffa424a9ae132da36d6154fe543e79a10f9ab6053ba361a05b591af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Release files / shipp_sports-0.1.0-py3-none-any.whl
| Download URL | shipp_sports-0.1.0-py3-none-any.whl |
|---|---|
| Size | 20.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
03c5b851a7e30618371a5492d2c1009a71de0a5a19996e2a9171fc393db4bfaa
|
|
BLAKE2b-256 checksum How to use checksums |
f4e143ec46ab89012e60d404bdc2574a4d06b8387e9d60355cbabf9072be67b3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|