MCPInstall

worldcup

FIFA World Cup 2026 — match schedules, live scores, results, and the prediction game (place/cancel bets with points, betting stats, leaderboard). Use whenever the user mentions the World Cup: today's / upcoming / live / finished matches, a specific match, placing or cancelling a prediction, staking points, their betting balance or win rate, or the predictor leaderboard.

Installs
1.4K
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/starchild-ai-agent/official-skills --skill worldcup
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads worldcup automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

⚽ World Cup 2026 Skill

FIFA World Cup 2026 data + the points-based prediction game. Script skill — call the functions in core.skill_tools.worldcup from bash and read the JSON. Auth is automatic (container JWT); no API key needed.

How to call

python3 -c "from core.skill_tools import worldcup; import json; print(json.dumps(worldcup.get_today_matches()))"

Every function returns a dict like {"success": true, "data": ...} (or {"success": false, "error": ...} on failure).

When to use

  • Matches — today / upcoming / live / finished, or one specific match.
  • Predictions — place, cancel, or review prediction history.
  • Stats — point balance, betting limits, win rate, total staked.
  • Leaderboard — top predictors by points or accuracy.

Functions (from core.skill_tools import worldcup)

FunctionReturns
get_today_matches()today's matches + your prediction status
get_upcoming_matches(limit=10)next scheduled matches
get_live_matches()matches in progress now
get_finished_matches(limit=20)recent results
get_match_detail(match_id)one match in full
place_bet(match_id, predict_type, prediction, stake)places a prediction
cancel_prediction(prediction_id)cancels an unsettled prediction, refunds stake
get_betting_status()point balance, pending stakes, min/max stake
get_my_predictions(match_id=None, settled_only=False)your prediction history
get_prediction_detail(prediction_id)one prediction in full
get_my_stats()your win rate, total staked, etc.
get_leaderboard(limit=50, sort_by="points")top predictors (sort_by: points|accuracy)

Placing a bet — predict_type and prediction

prediction is a dict whose shape depends on predict_type. Fill ONLY the keys for that type:

predict_typepredictionmeaning
win_draw_loss{"choice": "home"|"draw"|"away"}match result
exact_score{"home": N, "away": N}exact final score
total_goals{"range": "0-1"|"2-3"|"4+"}total goals bucket
first_goal{"team": "TEAM_CODE"}which team scores first (e.g. BRA)

stake = points to wager: multiple of 10, min 10, max 10000.

Recommended place_bet flow

  1. get_betting_status() — confirm enough available points.
  2. get_match_detail(match_id) or get_today_matches() — confirm the match is open and get team codes (needed for first_goal).
  3. place_bet(match_id, predict_type, prediction, stake).
  4. Read back the returned prediction ID to the user.

Example:

python3 -c "from core.skill_tools import worldcup; import json; print(json.dumps(worldcup.place_bet(42, 'win_draw_loss', {'choice':'home'}, 100)))"

Notes

  • Points are the prediction-game currency, not real money — present as a game, never as financial advice.
  • cancel_prediction only works while a prediction is unsettled; it refunds the stake.
  • Match times are UTC; convert to the user's timezone when relevant.

FAQ

What does the worldcup skill do?

FIFA World Cup 2026 — match schedules, live scores, results, and the prediction game (place/cancel bets with points, betting stats, leaderboard). Use whenever the user mentions the World Cup: today's / upcoming / live / finished matches, a specific match, placing or cancelling a prediction, staking points, their betting balance or win rate, or the predictor leaderboard.

How do I install worldcup?

Run npx skills add https://github.com/starchild-ai-agent/official-skills --skill worldcup in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/worldcup/ (personal) or .claude/skills/worldcup/ (project).

Which AI agents can use worldcup?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is worldcup safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains worldcup?

It is published by starchild-ai-agent in starchild-ai-agent/official-skills. It has 1,427 recorded installs.

More from starchild-ai-agent/official-skills

View all →

coinglass

starchild-ai-agent/official-skills

Crypto derivatives data: funding rates, open interest, liquidations, long/short ratios. Use when researching perp markets or comparing ETF flows (e.g. BTC funding, ETH OI). NOTE: platform API key is Startup tier — liquidation heatmap, coins-markets detail, liquidation order book and Hyperliquid positions require higher plans (see Plan Tiers).

Business & Finance11.5K installs

wallet

starchild-ai-agent/official-skills

Multi-chain wallet: EVM and Solana balances, transfers, signing, and policy. Use when checking balances, sending tokens, signing typed data, or proposing a wallet policy (e.g. send 10 USDC on Base, sign EIP-712, Solana balance).

AI & Agents8.9K installs

hyperliquid

starchild-ai-agent/official-skills

Trade perp futures, spot, and RWA on Hyperliquid DEX with up to asset max leverage. Use when placing perp or spot orders, setting TP/SL, or moving funds on Hyperliquid (e.g. long BTC 5x, sell ETH, deposit USDC, set stop).

AI & Agents8.7K installs

coingecko

starchild-ai-agent/official-skills

Crypto spot prices, OHLC charts, market discovery, and global stats. Use when looking up coin prices, market caps, trending coins, sector rankings, or comparing tokens (e.g. BTC price, ETH chart, top gainers).

AI & Agents7.9K installs

twitter

starchild-ai-agent/official-skills

Twitter/X data: fetch tweets, search, user profiles, followers, replies, trends. Use for any x.com or twitter.com URL or lookup (e.g. summarize this tweet, recent posts by @vitalikbuterin, search $SOL minfaves:50).

Marketing & SEO7.9K installs

skill-creator

starchild-ai-agent/official-skills

Scaffold new skills with valid frontmatter, directory layout, and a starter SKILL.md. Use when building a new reusable workflow or wrapping a new API (e.g. create a kalshi skill, scaffold an API helper, start a charting skill).

AI & Agents7.8K installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs