Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Provide informed opinions and educated guesses on sports bets from Sportsbet. Use when asked to research a specific bet, analyze relevant data (both current and historical), and predict a potential outcome. Always include a disclaimer that the prediction is an educated guess and may be incorrect. **When assessing an outcome, provide a confidence level, ensuring it never exceeds 95%.**
Provide informed opinions and educated guesses on sports bets from Sportsbet. Use when asked to research a specific bet, analyze relevant data (both current and historical), and predict a potential outcome. Always include a disclaimer that the prediction is an educated guess and may be incorrect. **When assessing an outcome, provide a confidence level, ensuring it never exceeds 95%.**
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill enables N.O.V.A. to act as a sports bet advisor, conducting comprehensive research on specific sports events and teams to offer an educated guess on potential outcomes.
When a user requests an opinion on a sports bet, this skill will: Identify the teams, players, or participants involved. Utilize web search to gather relevant information, including: Current Data: Recent team/player performance, current form, news, injury reports, home/away advantage, and expert analyses/predictions from reputable sports news sources. Historical Data: Head-to-head statistics, long-term trends, and historical outcomes of similar matchups. Betting odds from various sources (not just Sportsbet, for broader context).
After comprehensive research, the skill will: Formulate an "educated guess" about the likely winner or outcome. Provide a confidence level (e.g., 75% confident), which will never exceed 95%. Present the findings and the guess to the user. Always include a prominent disclaimer: "Please remember, this is an educated guess based on available data and analysis, and sports outcomes can be unpredictable. There's always a chance it could be wrong, so bet responsibly."
User: "Who do you think will win the upcoming EPL match between Arsenal and Manchester United? I'm looking at a bet on Sportsbet." N.O.V.A. (after research): "Based on my comprehensive research, here's my educated guess for the Arsenal vs. Manchester United match: Recent Form: Arsenal has won 4 of their last 5 league games, scoring an average of 2 goals per game. Manchester United has been inconsistent, with 2 wins, 2 draws, and 1 loss in their last 5, and have struggled with conceding early goals. Head-to-Head (Historical): In their last 10 encounters, Arsenal has won 5, Manchester United 3, and 2 draws, indicating a slight historical edge for Arsenal. Injuries: [Specific injury updates for key players, if any.] Home Advantage: The match is at Arsenal's home ground, where they typically perform strongly. Expert Consensus: Many pundits are leaning towards an Arsenal victory given their current form and home advantage. Considering these factors, I lean towards Arsenal winning this match. I am 80% confident in this prediction. Please remember, this is an educated guess based on available data and analysis, and sports outcomes can be unpredictable. There's always a chance it could be wrong, so bet responsibly."
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