otterline_skill

This skill fetches fresh Otterline NBA and NHL free samples, summarizing elite and strong picks to help you decide bets quickly.

Python

2.6k

GitHub Stars

4

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill otterline

_meta.json330 B
claw.json536 B
README.md3.4 KB
SKILL.md5.2 KB

Overview

This skill provides free daily sports betting predictions and moneyline picks for NBA and NHL using Otterline’s AI consensus model. Picks are confidence-tiered (Elite → Strong) and delivered as a free sample with no API key required. It includes links to upgrade for full slates and always includes a betting disclaimer.

How this skill works

The skill fetches live free-sample endpoints for NBA and NHL picks and returns JSON that lists dated picks, tiers, and model metadata. It maps internal tier codes to user-facing labels (e.g., elite → 🔥 Elite) and formats league-specific fields like consensus, combo win rate (NBA), score and win probability (NHL). No authentication is needed and the skill always appends the upgrade message and source credit.

When to use it

When you want a quick, no-auth sample of AI-driven moneyline picks for NBA or NHL.
To check daily high-confidence winners (Elite/Verified/Strong) before placing a casual bet.
When you need a dated lookup (supports ?date=YYYY-MM-DD) for tomorrow or past sample picks.
To preview the type of model output available before subscribing to full premium picks.
When you want formatted, user-ready pick summaries with clear confidence tiers.

Best practices

Always fetch fresh data each time you request picks; do not cache stale samples for long periods.
Treat results as entertainment only — include the built-in disclaimer and avoid financial advice language.
When showing NBA picks, display consensus (X/3) and combo win rate only when provided and >0.
For NHL, show score and moneyPuckWinProb but never expose internal model objects.
If the API reports no_games, present the provided no_games_message and offer an alternate date or league.

Example use cases

Show today’s Otterline NBA and NHL free sample picks with tier groupings and notices.
Fetch only elite-tier picks across both leagues to surface the highest-confidence samples.
Retrieve picks for a specific date (e.g., tomorrow) using the date query parameter.
Display formatted pick output that includes consensus counts, combo win rates, and upgrade link to premium.
Use the free sample to compare against your own model or tracking sheet before upgrading.

FAQ

No. The free sample endpoints require no authentication or API key.

Are these the full daily pick slates?

No. These endpoints return free samples. Full daily slates and analysis are available via the upgrade link.

How are tiers labeled for users?

Internal tiers map to clear labels (e.g., elite → 🔥 Elite, verified → ✅ Verified, strong → 💪 Strong, lean → 📊 Lean, pass → ⛔ Pass).

What if there are no games on the date I request?

The response includes a no_games flag and message; present that message and offer to check another date or the other league.