betting
Betting analysis — odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage…
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use
$ npx -y skills add machina-sports/sports-skills --skill xctf-data --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/xctf-dataContext preview
The summary Claude sees to decide when to auto-load this skill.
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use
name: xctf-data description: | NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cricket-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi. license: MIT compatibility: Requires Python 3.10+ and internet access to tfrrs.org and thestridereport.com. No API keys required. metadata: author: machina-sports version: "0.1.0"
Before writing queries, consult `references/api-reference.md` for parameters, URL conventions, and return shapes.
Before first use, check if the CLI is available:
which sports-skills || pip install sports-skills
If `pip install` fails, install from GitHub:
pip install git+https://github.com/machina-sports/sports-skills.git
Requires Python 3.10+. No API keys required. All data comes from TFRRS public pages and The Stride Report RSS feed.
CLI (preferred):
sports-skills xctf get_athlete_profile --athlete_id=9230145 --school=BYU --name=Jane_Hedengren sports-skills xctf get_news --limit=5
Python SDK:
from sports_skills import xctf
profile = xctf.get_athlete_profile(
athlete_id="9230145",
school="BYU",
name="Jane_Hedengren",
)All three parameters are required and must match the athlete's TFRRS URL exactly:
https://www.tfrrs.org/athletes/{athlete_id}/{school}/{name}.htmlDo NOT guess slugs. Find them by navigating to the athlete on tfrrs.org and copying the URL.
| Command | Description | |---|---| | `search_athlete` | Search the current team roster by name; returns `athlete_id`, `school`, and `name` slugs for use with `get_athlete_profile`. Searches both genders automatically. Current athletes only — graduated athletes require a direct TFRRS URL | | `get_athlete_profile` | Athlete name, school, eligibility, all PRs, and full season-by-season meet results | | `get_team_roster` | Full XC and/or TF roster for a team | | `get_meet_results` | All event results and team scores from a TFRRS meet | | `get_news` | Recent XC/TF articles from The Stride Report (thestridereport.com) |
See `references/api-reference.md` for full parameter details and return shapes.
Example 1: Look up a current athlete's PRs User says: "What are Jane Hedengren's PRs?" Actions: 1. Call `search_athlete(name="Jane Hedengren", school="UT_college_f_BYU")` Result: `data.matches` contains entries with `athlete_id`, `school`, `name` slugs 2. Call `get_athlete_profile(athlete_id="9230145", school="BYU", name="Jane_Hedengren")` Result: `data.prs` contains all personal records by event (e.g. `{"1500": "4:10.24", "5000": "14:44.79", "6K (XC)": "18:29.6", ...}`)
Example 2: Get a runner's cross country season User says: "Show me Jane Hedengren's 2025 XC season results" Actions: 1. Call `search_athlete(name="Jane Hedengren", school="UT_college_f_BYU")` 2. Call `get_athlete_profile` with the matched athlete params 3. Filter `data.meets` for entries whose `date` falls in the fall of 2025 (Sep–Nov 2025) Result: List of meets with dates, events, marks, and places
Example 3: Graduated or transferred athlete User says: "What are Katelyn Vuong's PRs from UC Davis?" Actions: 1. Call `search_athlete(name="Katelyn Vuong", school="CA_college_f_UC_Davis")` Result: `data.matches` is empty — athlete has graduated 2. Tell the user: "Katelyn Vuong is not on UC Davis's current roster. Please find her profile URL on tfrrs.org (e.g. search 'Katelyn Vuong UC Davis tfrrs') and share it." 3. User provides: `https://www.tfrrs.org/athletes/7899206/UC_Davis/Katelyn_Vuong.html` 4. Extract params from the URL and call `get_athlete_profile(athlete_id="7899206", school="UC_Davis", name="Katelyn_Vuong")` Note: TFRRS creates separate profiles for XC and TF. If both exist, fetch both IDs for complete PRs.
Example 4: Get a team's current roster User says: "Show me the UC Davis women's XC roster" Actions: 1. Call `get_team_roster(school="CA_college_f_UC_Davis", sport="xc")` Result: List of athletes with name, year, and profile slugs
Example 5: Get results from a meet User says: "Show me the results from the Stanford Invitational" Actions: 1. Find the meet on tfrrs.org and copy the meet_id and slug from the URL (e.g. tfrrs.org/results/95890/Stanford_Invitational) 2. Call `get_meet_results(meet_id="95890", slug="Stanford_Invitational")` Result: All event results and team scores from the meet
Example 6: Get the latest XC/TF news User says: "What's the latest college track news?" Actions: 1. Call `get_news(limit=10)` Result: Recent articles from The Stride Report with title, date, summary, and link
If a command is not listed in the Commands table above, it does not exist.
When a command fails, **do not surface raw errors to the user**. Instead: 1. For `get_athlete_profile`: confirm `athlete_id
Open-source agent skills for live sports data and prediction markets. Built for the Agent Skills spec. Works with sportsclaw, OpenClaw, Claude Code, Cursor, Copilot, Gemini CLI, Hermes Agent, and every major AI agent. Zero API keys. Zero signup.
Betting analysis — odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage…
College Basketball (CBB) data via ESPN public endpoints and the NCAA's official endpoints —…
College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints —…
Cricket data via ESPN public endpoints and Cricsheet open data — live-ish series scoreboards,…
Esports data — Dota 2 (OpenDota) and League of Legends esports (Leaguepedia). Pro matches,…
Formula 1 data — race schedules, results, lap timing, driver and team info. Powered by the…