metadata
Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biographical data across 100+ leagues. No API key required, zero config. Use when: user asks for a team logo, crest, badge, banner, jersey, kit, player photo or headshot, stadium info, club description, or wants to search for teams or players by name across sports. Good for enriching responses from other skills with images and visual identifiers. Don't use when: user asks for scores, standings, fixtures, stats, or odds — use the sport-specific skill instead: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1), volleyball-data (Dutch volleyball), xctf-data (NCAA XC/TF). Don't use for prediction markets — use polymarket or kalshi.
What this skill does
# Sports Metadata Wraps the free [TheSportsDB](https://www.thesportsdb.com) API for team logos, player photos, and stadium info. No API key, no signup. ## Quick Start ```bash sports-skills metadata get_team_logo --team_name="Arsenal" sports-skills metadata get_team_info --team_name="Real Madrid" sports-skills metadata get_player_photo --player_name="Messi" sports-skills metadata search_teams --query="Manchester" sports-skills metadata search_players --query="LeBron" ``` Python SDK: ```python from sports_skills import metadata metadata.get_team_logo(team_name="Arsenal") metadata.get_team_info(team_name="Real Madrid") metadata.get_player_photo(player_name="Messi") metadata.search_teams(query="Manchester") metadata.search_players(query="LeBron") ``` ## CRITICAL: Before Any Query CRITICAL: Before calling any metadata command, verify: - Team names use the **full official name** — especially for NBA (e.g., `"Los Angeles Lakers"`, **not** `"Lakers"`). - For `get_team_logo`, the `sport` parameter defaults to `"Soccer"`. Pass `sport="Basketball"`, `"American Football"`, `"Baseball"`, `"Ice Hockey"`, `"Motorsport"`, or `"Cricket"` when the team is not a soccer team — otherwise the lookup falls back to "first result regardless of sport," which may return the wrong team. - Player searches use just the player name (e.g., `"Messi"`, `"LeBron James"`, `"Tiger Woods"`). ## Coverage **Teams (logos, banners, stadium info):** - Soccer: 100+ leagues worldwide (Premier League, La Liga, Bundesliga, Serie A, MLS, and many more) - NFL (American Football) - NBA (Basketball) — requires full team names - MLB (Baseball) - NHL (Ice Hockey) - F1 (Motorsport) - Cricket (IPL, international) **Players (photos, bios):** - All team sports above - Tennis (ATP/WTA players) - Golf (PGA/LPGA players) **Not covered:** MMA/UFC, Rugby, Esports, Boxing. ## Commands | Command | Required | Optional | Description | |---|---|---|---| | `get_team_logo` | team_name | sport | Team logo / badge URL | | `get_team_info` | team_name | | Full team info: stadium, description, social links, banner | | `get_player_photo` | player_name | | Player photo URL | | `search_teams` | query | | Fuzzy search for teams across sports | | `search_players` | query | | Fuzzy search for players across sports | ## Workflows ### Enrich a Standings Response 1. Call the sport-specific skill (e.g., `football get_season_standings`) for the standings table. 2. For each team in the standings, call `get_team_logo --team_name=<name>` to attach a badge URL. 3. Render the standings with logos alongside team names. ### Build a Team Profile Page 1. Call `get_team_info --team_name="<name>"` for stadium, description, founding year, social links. 2. The same response includes `badge` and `banner` URLs — no second call needed. ### Resolve an Ambiguous Team Name 1. Call `search_teams --query="<partial-name>"` to disambiguate. 2. Use the exact `name` field from the result for follow-up `get_team_info` calls. ## Examples Example 1: Get a Premier League team logo User says: "What does the Arsenal logo look like?" Actions: 1. Call `get_team_logo(team_name="Arsenal")` — `sport` defaults to "Soccer", which is correct here. Result: Logo URL, sport, league, and country. Example 2: NBA team — full name required User says: "Get the Lakers logo" Actions: 1. Call `get_team_logo(team_name="Los Angeles Lakers", sport="Basketball")` — both the full name AND the sport filter are needed. Result: Lakers badge from the NBA branch of TheSportsDB. Example 3: Player photo User says: "Show me a photo of Messi" Actions: 1. Call `get_player_photo(player_name="Messi")`. Result: Player photo URL, sport, team, and nationality. Example 4: Disambiguate "Manchester" User says: "Find me Manchester teams" Actions: 1. Call `search_teams(query="Manchester")`. Result: List of teams matching "Manchester" — Manchester United, Manchester City, etc. — each with sport, league, and country. ## Commands that DO NOT exist — never call these - ~~`get_stadium_info`~~ — does not exist. Stadium info is included in `get_team_info`. - ~~`get_league_logo`~~ — does not exist. Use `get_team_logo` for team badges only. - ~~`get_player_stats`~~ — does not exist on this skill. TheSportsDB metadata does not include stats; use the sport-specific skill (e.g., `football get_player_profile`, `nba get_player_stats`). - ~~`search_leagues`~~ — does not exist. If a command is not listed in the Commands table above, it does not exist. ## Troubleshooting Error: `get_team_logo` returns the wrong team Cause: A short or ambiguous team name (e.g., "Lakers", "Arsenal") matched a different sport first Solution: Pass an explicit `sport` parameter and use the team's full official name Error: `get_player_photo` returns null / empty Cause: Player not in TheSportsDB, or the name spelling differs (e.g., "Cristiano Ronaldo" vs "Ronaldo") Solution: Use `search_players --query=<partial>` first to find the canonical spelling, then retry Error: Logo URL works but the image is low resolution Cause: TheSportsDB returns the badge as-is from contributors Solution: This is an upstream limitation. Most badges are 200×200 or larger; very small icons indicate a low-quality submission. No workaround.
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.