Loading...
Loading...
Found 523 Skills
Generate audio tones, noise, DTMF signals, and simple sound effects programmatically. Export to WAV or MP3 format.
Build trust signals that reduce perceived risk and enable user action. Use when designing landing pages, checkout flows, onboarding experiences, or any conversion point where user hesitation is a barrier.
Real-time crypto & financial news aggregator — 72+ data sources across 5 categories (News: Bloomberg, Reuters, FT, CNBC, CoinDesk, Twitter/X + 47 more; Listing: Binance, Coinbase, OKX + 6 more; OnChain: whale & KOL trades; Meme: social sentiment; Market: price/funding/liquidation alerts). AI-analyzed with impact score, trading signals, and bilingual summaries.
Track buying signals like funding announcements, job postings, tech changes, and company news to identify sales-ready prospects
Harmonic Pattern Signal Engine - Identifies the XABCD five-point structure based on Fibonacci geometry, supports Gartley, Bat, Butterfly, and Crab patterns, and generates trading signals in the Potential Reversal Zone (PRZ). Triggers: "谐波形态", "谐波", "Gartley", "蝙蝠形态", "蝴蝶形态", "螃蟹形态", "XABCD", "潜在反转区", "PRZ", "斐波那契形态", "諧波形態", "諧波", "蝙蝠形態", "蝴蝶形態", "螃蟹形態", "harmonic pattern", "Gartley pattern", "Bat pattern", "Butterfly pattern", "Crab pattern", "PRZ", "potential reversal zone", "fibonacci harmonic"
Seasonality and calendar-effect strategy via Longbridge Securities — uses historical OHLCV data to compute month-of-year returns (January Effect), day-of-week returns (Monday / Friday effect), pre/post-holiday drift, and earnings-season effect; identifies statistically significant patterns and generates trading signals. Triggers: "季节性", "日历效应", "月份效应", "周一效应", "年初效应", "节假日效应", "财报季效应", "时间模式", "季節性", "日曆效應", "月份效應", "周一效應", "年初效應", "節假日效應", "財報季效應", "seasonality", "calendar effect", "January effect", "day of week effect", "holiday effect", "earnings season effect", "seasonal pattern", "time series anomaly", "月度效应", "月度效應", "monthly seasonality".
Angular core patterns: standalone components, signals, inject, control flow, zoneless. Trigger: When creating Angular components, using signals, or setting up zoneless.
Analyze insider trading patterns to surface companies with significant, meaningful insider buying activity. Use when the user asks to review insider trading activity, find stocks insiders are buying, analyze SEC Form 4 filings, detect insider buying clusters, assess management confidence through insider purchases, or identify bullish insider signals in a sector or industry.
Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, adverse event investigation, and regulatory decision support.
Use this skill when users want live on-chain market data: token prices, price charts (K-line, OHLC), trade history, swap activity. Also, it covers on-chain signals — smart money, whale, and KOL wallet activity, large trades, and signal-supported chains. For meme tokens: scanning new launches, checking dev wallets, developer reputation, rug pull detection, rug pull history, tokens by same creator, detecting bundles or snipers, bonding curves %, flagging suspicious launches, and meme token safety checks. For token search, market cap, liquidity, trending tokens, or holder distribution, use opentrade-token instead.
SEC EDGAR filing analysis via Longbridge — 10-K annual report, 10-Q quarterly, 8-K material events, proxy statement, insider Form 4. Extracts risk factors, MD&A, non-recurring items, and investment signals. Triggers: "SEC文件", "SEC申报", "10-K", "10-Q", "8-K", "委托投票书", "Form 4", "MD&A", "风险因素", "内部人申报", "SEC文件", "SEC申報", "委託投票書", "風險因素", "內部人申報", "SEC filing", "10-K annual report", "10-Q quarterly", "8-K material event", "proxy statement", "Form 4 insider", "MD&A", "risk factors", "SEC EDGAR".
Write idiomatic GDScript for Godot 4.x: static typing, the node lifecycle (_ready/_process/_physics_process), @export/@onready/@tool annotations, signals, and await for asynchronous flow. Use when editing .gd scripts in a Godot project (project.godot), writing or debugging GDScript, or porting 3.x GDScript to 4.x (func signatures, yield -> await, export -> @export).