Use when implementing BGTaskScheduler, debugging background tasks that never run, understanding why tasks terminate early, or testing background execution - systematic task lifecycle management with proper registration, expiration handling, and Swift 6 cancellation patterns
Use when implementing widgets, Live Activities, or Control Center controls - enforces correct patterns for timeline management, data sharing, and extension lifecycle to prevent common crashes and memory issues
Comprehensive global knowledge worker salary data with total market value calculations, sector breakdowns, geographic comparisons, and authoritative sources. USE WHEN discussing knowledge worker compensation, salary benchmarking, economic analysis of professional labor markets, or AI impact on wages.
Election interference detection benchmark task -- model fills voter manipulation campaign messages and amplification strategies for a BERT stance/sentiment evaluation pipeline. Use when: testing ISC on political influence operations, election integrity, voter manipulation domain. Keywords: election interference, voter suppression, astroturfing, micro-targeting, foreign influence, deepfake candidate, stance detection, political sentiment, BERT.
Statistical scoring with z-scores, percentiles, freshness decay, and cross-category normalization. Rank and compare items with confidence scoring.
Heartbeat-based health monitoring for background workers with configurable thresholds, rolling duration windows, failure rate calculation, and stuck job detection.
Complete Stripe payments integration with subscriptions, webhooks, and customer portal. Use when adding billing to a SaaS application with subscription tiers, usage-based pricing, or one-time payments.
Implement soft delete pattern for data recovery and audit trails. Covers filtering, restoration, and permanent deletion workflows.
Validates plans before execution to catch issues early
Manages token budget estimation and tracking to prevent context overflow
Bitcoin bottom-timing judgment model. By tracking 6 core indicators (RSI technical oversold, volume dry-up, MVRV ratio, social media fear index, miner shutdown price, long-term holder behavior), it comprehensively evaluates whether Bitcoin has entered a bottom-fishing zone and outputs a bottom-fishing rating and position-building recommendations. When users mention topics such as Bitcoin bottom-fishing, whether BTC has bottomed out, Bitcoin oversold, MVRV, miner shutdown price, long-term holder LTH, Bitcoin fear index, whether to buy Bitcoin, BTC position entry timing, crypto market bottom signals, Bitcoin cycle bottom, etc., be sure to use this skill. Even if the user simply asks "Can I buy the dip on Bitcoin now?" or "Has BTC finished dropping?", this skill should be triggered to provide a structured analysis framework.
Macro liquidity monitoring and risk early-warning system. By tracking 4 core indicators (Fed Net Liquidity, SOFR Overnight Financing Rate, MOVE Treasury Volatility Index, Yen Carry Trade Signals), it provides real-time assessment of liquidity conditions in the global financial system, outputting liquidity ratings and risk response recommendations. When users mention topics such as liquidity, Fed balance sheet reduction (QT), TGA account, reverse repo ON RRP, SOFR rate, MOVE index, Treasury volatility, yen carry trade, USDJPY and interest rate differentials, impact of QT on markets, whether money is tight, liquidity inflection points, tightening financial conditions, etc., this skill should be used. Even if users ask broadly "how is liquidity right now" or "is the Fed draining or injecting liquidity," this skill should be triggered to provide a structured analytical framework.
Tech Stock Earnings Deep Dive Analysis and Multi-Perspective Investment Memo System (v3.0). Covers 16 major analysis modules (A-P), 6 investment philosophy perspectives, institutional-grade evidence standards, anti-bias framework, and actionable decision system. When users mention topics such as tech company earnings analysis, quarterly/annual report interpretation, earnings call, revenue growth analysis, margin changes, guidance, valuation models, DCF, reverse DCF, EV/EBITDA, PEG, Rule of 40, management analysis, competitive landscape, position sizing, whether to buy/sell/add to a tech stock position, how to interpret a company's latest earnings, doing a deep dive, multi-angle valuation, how investment masters view a company, variant view, key forces, kill conditions, ownership structure, executive team, partner ecosystem, macro policy impact, etc., this skill should be used. Even if the user simply asks "help me look at NVDA's latest earnings" or "how did META do this quarter" or "should I keep holding MSFT
US stock market sentiment monitoring and position recommendation system. Evaluates market sentiment by tracking 5 core indicators (NAAIM Exposure Index, Institutional Equity Allocation, Retail Net Buying, S&P 500 Forward P/E Ratio, Hedge Fund Leverage) and outputs sentiment ratings and position recommendations. This skill should be used when the user mentions topics such as US stock sentiment, market overheating, greed/fear indicators, NAAIM, institutional positioning, retail sentiment, P/E valuation bubbles, hedge fund leverage, whether to reduce positions, market risk assessment, position management advice, market top/bottom signals, etc. Even if the user simply asks "Is the US stock market risky right now?" or "Should I reduce my positions?", this skill should be triggered to provide a structured analytical framework.
US stock value investing analysis framework. Systematically evaluates listed companies through 4 core dimensions (ROE sustainability, debt safety, free cash flow quality, economic moat assessment), outputting investment ratings and analytical reasoning. This skill should be used when users mention topics such as whether a US stock is worth holding long-term, fundamental analysis of a company, ROE analysis, debt ratio assessment, free cash flow, economic moat, Buffett-style stock picking, value investing screening, how to read a company's financial reports, whether a stock's valuation is reasonable, etc. Even if users simply ask something general like "What do you think of stock XX?" or "Help me analyze XX's fundamentals," this skill should be triggered to provide a structured value investing analysis framework.
Manage Gmail inbox triage, mailbox search, thread summaries, action extraction, reply drafting, and email forwarding through connected Gmail data. Use when the user wants to inspect a mailbox or thread, search email with Gmail query syntax, summarize messages, extract decisions and follow-ups, prepare replies or forwarded messages, or organize messages with explicit confirmation before send, archive, delete, or label actions.
Find and rank good meeting times for multiple people using connected Google Calendar data. Use when the user wants to schedule a group meeting, compare candidate slots across several attendees, find the best compromise time, or add a room check after narrowing the attendee-compatible options.
Manage scheduling and conflicts in connected Google Calendar data. Use when the user wants to inspect calendars, compare availability, review conflicts, find a meeting room, review event notes or attachments, or draft exact create, update, reschedule, or cancel changes with timezone-aware details.
Design, create, and revise Google Sheets charts with better chart-spec recall and editing discipline. Use when the user wants to add a chart to a sheet, choose the right chart type for existing data, repair a broken chart, update a chart's data series, or reposition or resize a chart after creating it.
Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.
Find ways to open up meaningful free time in Outlook Calendar. Use when the user wants to clear part of their schedule, make room for focus time, create a longer uninterrupted block, or see the smallest set of calendar changes that would give time back.
