xctf-data
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.
What this skill does
# XC/TF Data (TFRRS — NCAA Cross Country & Track and Field)
Before writing queries, consult `references/api-reference.md` for parameters, URL conventions, and return shapes.
## Setup
Before first use, check if the CLI is available:
```bash
which sports-skills || pip install sports-skills
```
If `pip install` fails, install from GitHub:
```bash
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.
## Quick Start
CLI (preferred):
```bash
sports-skills xctf get_athlete_profile --athlete_id=9230145 --school=BYU --name=Jane_Hedengren
sports-skills xctf get_news --limit=5
```
Python SDK:
```python
from sports_skills import xctf
profile = xctf.get_athlete_profile(
athlete_id="9230145",
school="BYU",
name="Jane_Hedengren",
)
```
## CRITICAL: Before Any Query
All three parameters are required and must match the athlete's TFRRS URL exactly:
```
https://www.tfrrs.org/athletes/{athlete_id}/{school}/{name}.html
```
- `athlete_id` — numeric ID (e.g. `9230145`)
- `school` — school slug with underscores, not spaces (e.g. `BYU`)
- `name` — athlete name slug (e.g. `Jane_Hedengren`)
Do NOT guess slugs. Find them by navigating to the athlete on tfrrs.org and copying the URL.
## Commands
| 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.
## Examples
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
## Commands that DO NOT exist — never call these
- ~~`get_team_rankings`~~ — does not exist. Use `get_athlete_profile` for individual data.
- ~~`search_athletes`~~ — does not exist. The correct command is `search_athlete` (no trailing 's').
- ~~`fetch_news`~~ — does not exist. The correct command is `get_news`.
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. For `get_athlete_profile`: confirm `athlete_id`, `school`, and `name` match the TFRRS URL exactly (case-sensitive)
2. For `search_athlete`: verify the team slug is correct by checking the team's TFRRS page URL
3. For `get_meet_results`: verify the `meet_id` and `slug` match the meet's TFRRS URL exactly
4. For `get_team_roster`: verify the school slug is correct
5. For `get_news`: if the feed fails, inform the user that The Stride Report may be temporarily unavailable
6. Report failure with a clean message only after exhausting alternatives
## Troubleshooting
**`sports-skills` command not found**
Run `pip install sports-skills` or install from GitHub (see Setup above).
**HTTP 404 on athlete profile**
The `school` or `name` slug does not match the TFRRS URL exactly. Slugs are case-sensitive and use underscores. Copy directly from tfrrs.org.
**`prs` returns empty dict**
The athlete's profile page may be very new or structured differently. Check the URL directly on tfrrs.org.
**`search_athlete` returns empty matches**
The athlete is likely graduated or transferred. See Example 3 above for how to handle this.
**`get_meet_results` returns no events**
The `meet_id` or `slug` may be incorrect. Copy both directly from the meet's TFRRS URL.
**`get_news` fails or returns no articles**
The Stride Report RSS feed may be temporarily unavailable. Try again later.
**Connection errors or timeouts**
TFRRS may be temporarily unavailable. Requests are throttled to 1 per second automatically — wait a moment and retry.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.