Loading...
Loading...
Found 1,000 Skills
Universal AI video generation supporting OpenAI Sora, Google Veo 2/3, Runway Gen-3/Gen-4, Pika 2.2, Luma Dream Machine (Ray 2), FAL (Kling / Wan / Veo / Sora wrappers), Ark Seedance 1.5 Pro/Lite, Bailian Wanx (i2v), MiniMax Hailuo-02, and Vidu Q3. Use this skill whenever the user asks to generate, create, make, or synthesize a video from a text prompt or from a first-frame image. Covers text-to-video and image-to-video, with optional last-frame control on providers that support it. Typical phrases include "generate a video of ...", "make a 5-second clip of ...", "animate this image", "生成一段视频", "做个短片", or any mention of video-generation model families like Sora, Veo, Runway Gen, Kling, Wan, Seedance, Hailuo, Pika, Dream Machine, Vidu. Always use this skill even if the user does not name a specific model — pick a provider from their EXTEND.md defaults or available API keys. Do NOT use this skill when the user explicitly mentions 即梦 / Dreamina / Jimeng — those go to happy-dreamina instead.
Universal AI voice / text-to-speech skill supporting OpenAI TTS (gpt-4o-mini-tts, tts-1), ElevenLabs multilingual TTS with voice cloning, Bailian Qwen TTS (qwen-tts / qwen3-tts-vd with voice-design custom voices, long-text chunking built in), MiniMax speech-02-hd, SiliconFlow CosyVoice / SenseVoice, and PlayHT 2.0. Use this skill whenever the user asks to read text aloud, synthesize speech, generate narration, create voice-over, dub a script, or turn any text into audio (mp3 / wav / ogg / flac). Typical phrases include "read this aloud", "generate voice for ...", "create a narration of ...", "tts this", "把这段念出来", "做个配音", "合成语音", or mentions of voices / TTS model names like Alloy, Ash, Cherry, Rachel, CosyVoice, PlayHT. Always use this skill even if the user does not specify a provider — pick one from EXTEND.md defaults or available env keys.
Universal AI image generation supporting OpenAI DALL·E / gpt-image, Google Gemini Image / Imagen, Replicate (Flux / SDXL / any model), Stability AI, FAL, Ark (Seedream 4.5), Bailian (qwen-image / wanx), and SiliconFlow. Use this skill whenever the user asks to generate, create, draw, illustrate, render, or synthesize images from text prompts or reference images. Typical phrases include "draw a ...", "generate an image of ...", "画一张 ...", "给我来张图", "make a poster of ...", "create an illustration ...", or any mention of image-generation model families like DALL·E, gpt-image, Flux, SDXL, Seedream, Imagen, Gemini image, Kolors, or Wanx. Always use this skill even if the user does not name a specific model — pick a provider based on their EXTEND.md defaults or available API keys in the environment. Do NOT use this skill when the user explicitly mentions 即梦 / Dreamina / Jimeng — those go to happy-dreamina instead.
One reservation CLI for OpenTable and Tock — search both networks at once, watch for cancellations, book, and... Trigger phrases: `book a table`, `find me a reservation`, `watch for a cancellation`, `tasting menu availability`, `earliest reservation across these restaurants`, `use table-reservation-goat`, `run table-reservation-goat`.
ルート直下の `skills-lock.json` の `computedHash` を upstream リポジトリの最新状態と照合して更新する。`source` が `Fandhe-AI/` で始まらないエントリは clone せず skip (安全弁)。submodule 配下の `skills-lock.json` は触らない。contribute-skill のマージ後や upstream 同期後、「ハッシュ更新」「skills-lock 同期」などで使用。
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi.
Manages shadcn-vue components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn-vue, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn-vue init", "create an app with --preset", or "switch to --preset".
Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.
Use for any task requiring a real browser: viewing web pages, accessing login-gated sites, operating web UIs, scraping social media (Xiaohongshu/Weibo/Twitter/X, etc.), reading JS-rendered or dynamic pages, bypassing bot detection, form filling, e2e checks, and general web automation. Prefer this over WebFetch whenever the page needs JS execution, authenticated session, interaction, or stealth. Invoke via terminal CLI (`bridgic-browser ...`) or Python SDK (`from bridgic.browser.session import Browser`, `from bridgic.browser.tools import BrowserToolSetBuilder`). Also covers accessibility snapshot refs, CLI-SDK mapping/migration, and generating SDK code from CLI action steps.
Static basic information for all Longbridge-tradable securities — stocks, ETFs, options, warrants: company name, listing date, exchange, industry classification, total shares, circulating shares, market cap, IPO price, website, address. Futures / bonds / funds have limited coverage. Triggers: "基础信息", "股票信息", "上市日期", "总股本", "流通股", "IPO价格", "标的信息", "品种信息", "基礎信息", "股票資料", "上市日期", "總股本", "流通股", "IPO價格", "基本資料", "basic info", "stock info", "listing date", "shares outstanding", "IPO price", "symbol info", "static data", "security info", "exchange listing", "total shares".
Company tear sheet / one-pager via Longbridge Securities — generates a high-density 1–2 page company snapshot: business overview, key financials (revenue / net income / EPS / ROE), valuation multiples (PE / PB / EV-EBITDA), price performance, major shareholders, and recent catalysts. Triggers: "公司单页", "公司快照", "公司简报", "公司画像", "一页纸分析", "公司概要", "股票简报", "公司單頁", "公司快照", "公司簡報", "公司畫像", "一頁紙分析", "company tearsheet", "company profile", "company snapshot", "one-pager", "company brief", "stock summary", "company factsheet".
Institutional research and analyst ratings — buy/hold/sell distribution, consensus price target, EPS/revenue forecasts, and rating change history. ESG and credit ratings are not available via Longbridge. Triggers: "研报评级", "机构评级", "买入评级", "目标价", "机构观点", "分析师推荐", "券商评级", "机构研究", "研報評級", "機構評級", "買入評級", "目標價", "機構觀點", "分析師推薦", "券商評級", "analyst rating", "institution rating", "buy rating", "price target", "broker recommendation", "analyst opinion", "research rating", "sell-side rating", "consensus target", "EPS forecast", "analyst consensus".