Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Otterline Sports Predictions Professional | NBA & NHL AI Picks
Free Sports Betting Predictions and Picks for NBA and NHL: high win rate daily moneyline winners from Otterline's AI consensus model. Confidence-tiered (Elite -> Strong). No API key needed.
skill openclawclawhub Free
Free Sports Betting Predictions and Picks for NBA and NHL: high win rate daily moneyline winners from Otterline's AI consensus model. Confidence-tiered (Elite -> Strong). No API key needed.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, claw.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.7
Provenance
- Publisher
- ChrisLyonsHFX
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Otterline Sports Predictions Professional | NBA & NHL AI Picks
Free daily sample Sports Betting Predictions and Picks for NBA and NHL (moneyline winners) from Otterline. No authentication required. Keywords: Sports Betting, Predictions, Picks, NBA, NHL. For entertainment only; bet responsibly. Website: https://otterline.club Full Picks: https://otterline.club/premium
Endpoints (Free Samples)
NBA: https://gvwawacjgghesljfzbph.supabase.co/functions/v1/free-nba-picks NHL: https://gvwawacjgghesljfzbph.supabase.co/functions/v1/free-nhl-picks Both endpoints accept an optional ?date=YYYY-MM-DD query parameter. If omitted, they return today's sample picks. No authentication is required.
Fetch Examples
Use fetch (or curl) to call the endpoints: # Today's free NBA sample picks curl -s "https://gvwawacjgghesljfzbph.supabase.co/functions/v1/free-nba-picks" # Free NHL sample picks for a specific date (YYYY-MM-DD) curl -s "https://gvwawacjgghesljfzbph.supabase.co/functions/v1/free-nhl-picks?date=2026-02-05"
Response Schema (Live)
Both endpoints return JSON. Top-level fields (both leagues): type (string; expected "FREE SAMPLE") notice (string; e.g. "Showing 3 of 7 total picks today.") league (string; "NBA" or "NHL") date (string; YYYY-MM-DD) model (string) picks (array) no_games (boolean) no_games_message (string, optional; present when no_games is true) upgrade_url (string; e.g. https://otterline.club/premium) upgrade_message (string) full_picks_url (string) generated_at (string; ISO timestamp)
Pick Objects
NBA pick fields: matchup (string) pick (string; picked team) tier (string; elite|verified|strong|pass) consensus_count (number; typically 1-3) combo_win_rate (number, percent; may be 0) start_time (string or null) NHL pick fields: matchup (string) pick (string; picked team) tier (string; elite|verified|strong|lean) score (number; may be a float) moneyPuckWinProb (number, percent) models (object; INTERNAL: never show to the user)
Tier Display Mapping
Map API tier strings to user-facing labels: API TierDisplayelite🔥 Eliteverified✅ Verifiedstrong💪 Stronglean📊 Lean (NHL only)pass⛔ Pass (NBA only; not a bet)
How to Present Picks to the User
When the user asks for picks, follow these rules: Always fetch fresh data. Call the endpoint each time (do not guess picks). If no_games is true: Show no_games_message (or a simple "No games today.") Offer to check another date (?date=YYYY-MM-DD) and/or the other league. Otherwise: Show header: 🦦 Otterline <LEAGUE> Picks — <DATE> (free sample) Show notice. Group and sort tiers in this order: elite, verified, strong, lean, pass. Render only tiers that have at least one pick. NBA formatting: Show consensus_count as consensus: X/3 when present. Show combo_win_rate as combo win rate: NN% only when combo_win_rate > 0. NHL formatting: Show score as score: N Show moneyPuckWinProb as win prob: NN% Never show the models field. Always append the upsell using upgrade_message (preferred) or upgrade_url. Always credit Otterline: Picks from Otterline (otterline.club). Always include a disclaimer: For entertainment only; bet responsibly.
Example Output
🦦 Otterline NBA Picks — 2026-02-12 (free sample) These are FREE sample picks. Showing 2 of 3 total picks today. 🔥 Elite (consensus: 3/3, combo win rate: 69%) Milwaukee Bucks @ Oklahoma City Thunder -> Oklahoma City Thunder 💪 Strong (consensus: 2/3, combo win rate: 67%) Portland Trail Blazers @ Utah Jazz -> Utah Jazz 🔒 Full analysis, tier breakdowns, and historical stats available with Otterline Premium → https://otterline.club/premium Picks from Otterline (otterline.club) For entertainment only; bet responsibly.
Common User Queries
"What are today's picks?" → Fetch both NBA and NHL, present both, note these are samples. "Any elite picks today?" → Fetch both, filter to elite tier. If none in sample, mention full picks may have more. "NBA picks for tomorrow" → Use ?date= with tomorrow's date. "What's the best bet today?" → Show the highest-tier pick(s) available in the free sample (never choose pass as "best"). "Just NHL" / "Just NBA" → Fetch only the requested league. "How do I get all the picks?" / "I want more picks" → Direct them to otterline.club/premium.
Notes
These endpoints return a free sample and may return fewer than 4 picks. If start_time is present and non-null, convert to the user's local timezone when displaying. Full daily pick slates are available at https://otterline.club/premium.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Config
- SKILL.md
- README.md
- claw.json