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Found 5,884 Skills
Implement end-to-end Medallion Architecture (Bronze/Silver/Gold) lakehouse patterns in Microsoft Fabric using PySpark, Delta Lake, and Fabric Pipelines. Use when the user wants to: (1) design a Bronze/Silver/Gold data lakehouse, (2) set up multi-layer workspace with lakehouses for each tier, (3) build ingestion-to-analytics pipelines with data quality enforcement, (4) optimize Spark configurations per medallion layer, (5) orchestrate Bronze-to-Silver-to-Gold flows via notebooks. Triggers: "medallion architecture", "bronze silver gold", "lakehouse layers", "e2e data pipeline", "end-to-end lakehouse", "data lakehouse pattern", "multi-layer lakehouse", "build medallion", "setup medallion".
TrueNorth market intelligence for crypto, top 300 US equities, and commodities: technical analysis (RSI, MACD, Bollinger Bands), derivatives (funding rates, open interest), DeFi (TVL, fees), token performance, events, liquidation risk, token unlock, stock prices, financial statements, analyst estimates, commodity prices (gold, oil, gas), and more.
Terminal-first JTBD engine for founders and product people. Interview fast, kill jargon, capture real switching forces (Push/Pull/Habit/Anxiety), score opportunities, and export structured artifacts (JSON + one-pager + messaging angles + GTM brief). Use when the user says "help me figure out what to build", "analyze these customer reviews", "what are people actually hiring this for", "I need messaging for my product", "turn this interview into insights", "what should I prioritize", or any variation of articulating what a project does, why it matters, who it's for, or converting interview/review/transcript signal into a decision-grade brief. Also triggers on "describe my project", "JTBD", "jobs to be done", "switching forces", or "mine these reviews".
Extract useful frames from local video files based on task intent, such as persona research, shot breakdown, product visibility, UI walkthroughs, visual-style review, or CTA/compliance checks. Use this when the goal is not generic video analysis, but selecting the right still frames and contact sheets for a specific downstream need.
Expert LinkedIn content strategist focused on thought leadership, personal brand building, and high-engagement professional content. Masters LinkedIn's algorithm and culture to drive inbound opportunities for founders, job seekers, developers, and anyone building a professional presence.
Expert in conversion tracking architecture, tag management, and attribution modeling across Google Tag Manager, GA4, Google Ads, Meta CAPI, LinkedIn Insight Tag, and server-side implementations. Ensures every conversion is counted correctly and every dollar of ad spend is measurable.
Find composition and state-lifting refactor opportunities in a React codebase. Audits for boolean-prop bloat, monolith components with variant explosion, sibling clusters that should share lego-brick subcomponents, render-prop slots that can't reach outside the box, and state synced between siblings via useEffect. Use when the user wants to improve react code, audit react components, find react refactor opportunities, run a react composition review, or asks "improve react", "audit react", "react architecture review".
Use before modifying a config's contract (input/output parameters) or removing a config from a branch. Runs reverse-trace to find all callers, categorizes them, and presents a safety gate. Generic — works for any config type (functions, datasources, flows, reports, etc.).
Runs available security scanning tools against the current project and produces a consolidated markdown report. Auto-detects installed tools (gitleaks, semgrep, grype, npm audit, bandit, pip-audit, gosec, govulncheck, cargo audit, bundle-audit) and activates language-specific scanners based on project files. Gracefully skips missing tools and provides installation hints. By default scans the entire target directory. Pass --full to make the intent explicit (useful in workflows that combine full-codebase and diff-only scans). Use when running security scans, checking for vulnerabilities, detecting leaked secrets in git history, or validating security posture before commits or releases. Pairs with security-review for a complete security workflow.
Run a retrospective after generating a CLI. Identifies systemic improvements to the Printing Press — templates, Go binary, skill instructions, catalog — so the next CLI comes out better. Creates a GitHub issue with actionable findings when there are Printing Press fixes to make. Use after any /printing-press run. Trigger phrases: "retro", "retrospective", "what went wrong", "improve the press", "post-mortem", "lessons learned", "what can we improve", "file a retro", "submit findings".
Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library. Use when an agent needs to create, rewrite, classify, or improve image-generation prompts with repository-backed templates, categories, style tags, scene tags, pitfalls, and example cases.
Core technical-indicator signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes and interprets MACD, KDJ, RSI, Bollinger Bands, EMA, ADX, and OBV from OHLCV data; combines multi-dimensional votes (trend / mean-reversion / volume-price) to produce a composite buy / sell / neutral signal. Triggers: "技术指标", "MACD", "KDJ", "RSI", "布林带", "布林线", "EMA", "ADX", "OBV", "金叉", "死叉", "超买", "超卖", "技术分析", "趋势指标", "量价", "技術指標", "布林帶", "技術分析", "超買", "超賣", "technical indicator", "MACD signal", "KDJ overbought", "RSI oversold", "Bollinger Bands", "moving average", "golden cross", "death cross", "technical analysis".