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Claude Skills by gabrielmoreira
github.com/gabrielmoreira4,237 skills39 installs5,276 views
- 02 Ai Ml LearningA progressive AI literacy tutor that meets learners at their current level and advances them through three layers of competency: **AI User** (prompt engineering and output evaluation), **AI-Enhanced Worker** (integrating AI tools into real workflows for coding, writing, and research), and **AI Builder** (understanding the ML foundations behind modern systems — neural networks, transformers, fine-tuning, RAG, and agents). The skill diagnoses which layer the learner occupies before teaching, uses Votes: 0GitHub stars: 17
- 02 Music ArtsMusic Education Description This skill teaches users how to learn and practice music effectively. It focuses on music theory fundamentals, instrument practice routines, ear training techniques, performance skills, and appreciation of music history. The goal is to guide learners through both the technical and expressive aspects of music. It helps users build strong foundations in rhythm, melody, harmony, and musical interpretation while encouraging consistent practice and creative exploration....Votes: 0GitHub stars: 17
- Skill CreatorGuide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends the agent's capabilities with specialized knowledge, workflows, or tool integrations.Votes: 0GitHub stars: 17
- Skill InstallerInstall the agent skills into $DEVO_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).Votes: 0GitHub stars: 17
- Deep ResearchUse when a question requires deep investigation using online information or web search, broad source-backed research, comparison of multiple perspectives, or synthesis beyond a quick lookup.Votes: 0GitHub stars: 17
- Generate Prompt RequestThis skill should be used to generate a "prompt request" one-pager that summarizes the current session for a pull request. It produces one consolidated User block folding together every ask and decision from the session, plus one Assistant block summarizing what was built. Use it when the user asks to "generate a prompt request", recap or summarize the session for a PR, or capture what was requested. Also use it automatically when opening a pull request or writing a PR description, so the PR ...Votes: 0GitHub stars: 17
- Browser Testing With ScreenshotsUse when testing web applications with visual verification - automates Chrome browser interactions, element selection, and screenshot capture for confirming UI functionalityVotes: 0GitHub stars: 17
- Creating Claude Agents SkillUse when creating or improving Claude Code agents. Expert guidance on agent file structure, frontmatter, persona definition, tool access, model selection, and validation against schema.Votes: 0GitHub stars: 17
- Creating Claude Hooks SkillUse when creating or publishing Claude Code hooks - covers executable format, event types, JSON I/O, exit codes, security requirements, and PRPM package structureVotes: 0GitHub stars: 17
- Creating Claude Rules SkillUse when creating or fixing .claude/rules/ files - provides correct paths frontmatter (not globs), glob patterns, and avoids Cursor-specific fields like alwaysApplyVotes: 0GitHub stars: 17
- Creating Skills SkillUse when creating new Claude Code skills or improving existing ones - ensures skills are discoverable, scannable, and effective through proper structure, CSO optimization, and real examplesVotes: 0GitHub stars: 17
- Debugging Websocket IssuesUse when seeing WebSocket errors like "Invalid frame header", "RSV1 must be clear", or "WS_ERR_UNEXPECTED_RSV_1" - covers multiple WebSocketServer conflicts, compression issues, and raw frame debugging techniquesVotes: 0GitHub stars: 17
- Github Oauth Nango IntegrationUse when implementing GitHub OAuth + GitHub App authentication with Nango - provides two-connection pattern for user login and repo access with webhook handlingVotes: 0GitHub stars: 17
- Prpm Json Best Practices SkillBest practices for structuring prpm.json package manifests with required fields, tags, organization, multi-package management, enhanced file format, eager/lazy activation, and conversion hintsVotes: 0GitHub stars: 17
- Chengfeng Check Updates剪辑环境的唯一管理者：就绪检查（skills 是否最新 → Runtime 是否配套）、Skills 更新激活、Runtime 安装与体检。用户说检查更新、安装剪辑环境、装播放器、检查剪辑环境、剪辑环境就绪了吗、配置转录凭证时使用；业务 Skill（剪口播/字幕/画面/导出）第 0 步也引用本 Skill 的就绪检查。不用于剪辑、字幕、画面、导出本身或项目数据迁移。Votes: 0GitHub stars: 17
- Chengfeng Cut剪辑中文口播原素材：逐词转录、词典修字出修字表、五轮扫描找口误与重复、汇总表与重复句子表、打开 Studio 让用户复核、复盘沉淀用户偏好与词典。只产出一份已复核的删词账本，不切媒体、不做字幕、不做分镜动画。用户说剪口播、处理口误、生成口播基础素材、继续剪口播，或确认卡回传 action=return_cut_review 时使用。不要用于执行物理剪切、导出剪后视频、单独安装、单独打开工作台或口播分镜成片。Votes: 0GitHub stars: 17
- Chengfeng Export把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。Votes: 0GitHub stars: 17
- Chengfeng Report Bug整理、脱敏并上报 chengfeng-videocut 的 GitHub Bug。用户说上报 Bug、反馈剪口播问题、提交 GitHub Issue、这个问题告诉开发者，或要求继续提交已预览的 Bug 草稿时使用。不要用于功能建议、普通排错、代码提交或未获用户确认的自动上报。Votes: 0GitHub stars: 17
- Chengfeng Subtitle给剪好的口播做字幕：直接用已有的逐词稿加账本算出剪后时间（不必导出、不必重新转录）、用词典和作者文稿改写听错的专名、按句子分屏、在 Studio 里逐屏复核。用户说做字幕、加字幕、改字幕、重新分屏、字幕不对时使用。不要用于删词剪辑、物理剪切、分镜动画或成片渲染。Votes: 0GitHub stars: 17
- Chengfeng Visual给剪好的口播配画面：在录屏上盖 HTML 层（圈重点标注 / 小黑整屏动画 / 推近），层绑字幕屏、由播放器逐帧驱动、直接在预览里看。用户说做分镜、配画面、加动画、圈重点、B-roll、做 storyboard 时使用。不要用于删词剪辑、字幕、物理剪切或成片渲染。Votes: 0GitHub stars: 17
- Ian Xiaohei Svg MotionCreate Ian Xiaohei-style HTML/SVG motion illustrations for Chinese articles, scripts, storyboard scenes, workflow explanations, concept metaphors, and short video visual aids. Use when the user asks for 小黑 SVG、漫画感 HTML、分层 SVG 动效、把小黑生图做成 HTML/SVG、可编辑矢量动效、口播流程动画、手绘漫画动效、正文配图动画, or wants a Xiaohei illustration style adapted into controllable HTML/SVG/GSAP output instead of raster image generation.Votes: 0GitHub stars: 17
- ThinkApply the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions. This is a reasoning review, not a deterministic vault health check or repair workflow.Votes: 0GitHub stars: 17
- Wiki RetrieveBuild and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta, remote egress requires explicit consent, and unavailable reranking falls back deterministically.Votes: 0GitHub stars: 17
- Skill Creator**WORKFLOW SKILL** — Create complete, well-structured Copilot skills from scratch. USE FOR: scaffolding new SKILL.md files, writing effective agent instructions, configuring frontmatter fields, setting up directory structure (references, FEEDBACK.md), optimizing description for discoverability, applying progressive disclosure. DO NOT USE FOR: managing/syncing existing skills (use skill-manager-guide), general coding, VS Code extension development.Votes: 0GitHub stars: 17
- Alphagbm AlertSet price, IV, or activity-based alerts with contextual notifications. Alert types include IV rank threshold crossing, price support/resistance breaks, unusual activity detection, earnings approaching, and VRP signal changes. Triggers: "alert me when AAPL IV rank above 80", "notify if NVDA drops below 850", "earnings alert for TSLA", "VRP alert", "set price alert", "alert when IV spikes", "notify on unusual activity", "my alerts", "delete alert"Votes: 0GitHub stars: 17
- Alphagbm Bps BacktestFull walk-forward Bull Put Spread backtest over ~8 years of daily history. Runs both the signal (FearScore ≥ 60 entry) version AND a no-signal control in the same request, so you can quantify whether the fear-entry rule actually delivers alpha for this ticker under your parameters. Returns equity curve, 4 KPIs (annualized return / win rate / max drawdown / Sharpe), trade ledger, and a plain-language takeaway. Triggers: "backtest BPS on QQQ", "bull put spread backtest", "does FearScore work on...Votes: 0GitHub stars: 17
- Alphagbm Buffett AnalysisWarren Buffett-lens scorecard for any ticker. Scores 4 dimensions 0-100 each (business / circle of competence, moat / durable advantage, management / capital allocation, valuation / fair price vs 10Y treasury) and returns a weighted overall HOLDABLE / WATCHABLE / AVOID verdict. This is NOT a generic fundamental screener — it's Buffett's specific framework mechanically applied: sector simplicity, gross margin + ROE + profit margin thresholds, FCF yield vs treasury, and dividend-continuity as m...Votes: 0GitHub stars: 17
- Alphagbm ChokepointSerenity-style "Chokepoint Theory" applied to AI supply chains. Identifies physically irreplaceable bottleneck suppliers — small-cap near-monopolies buried 4–7 layers deep — whose capacity constraints force violent repricing when demand outgrows supply. Uses a 5-factor scoring model (Concentration, Irreplaceability, Qualification Gate, Discovery Gap, Demand Tension) to screen and rank candidates. This is AlphaGBM's independent reading of Serenity (@aleabitoreddit)'s publicly shared methodolog...Votes: 0GitHub stars: 17
- Alphagbm Company ProfileBuild and maintain company research profiles on AlphaGBM — auto-generated from fundamentals, PE/PB Band history, financial red flags, and event radar. Each profile is one user+ticker record that the system refreshes on schedule. Use when: creating a watchlist of companies to track, pulling up a saved research file, refreshing a profile's market data, or checking PE/PB bands. Triggers on: "add AAPL to my knowledge base", "show my profile for NVDA", "refresh my TSLA profile", "list my tracked c...Votes: 0GitHub stars: 17
- Alphagbm CompareSide-by-side comparison of 2-5 stocks or options across GBM Five Pillars scores, options metrics, technicals, and valuations. Identifies the winner by category. Triggers: "compare AAPL vs MSFT", "NVDA or AMD", "which is cheaper TSLA or META options", "tech stock comparison", "side by side", "versus", "which is better", "compare options", "cheapest IV", "best value stock"Votes: 0GitHub stars: 17
- Alphagbm Duan AnalysisDuan-Yongping-style seller playbook for any ticker: Sell Put at your "willing buy" price, Covered Call for yield enhancement, and a Panic-Buy context read off current VIX. The response is three tightly-scoped analysis cards — not a generic options screener — derived from the specific framework that made Duan Yongping famous in Chinese retail investing (seller-only, rent-collection logic, never a buyer of options). Triggers: "Duan Yongping style AAPL", "sell put NVDA willing to buy at 120", "c...Votes: 0GitHub stars: 17
- Alphagbm Earnings CrushFull earnings-season IV analysis: historical crush, implied move forecast, IV Rank strategy tag, and a priced Iron Condor quote ready to trade. Triggers: "earnings crush AAPL", "NVDA IV before earnings", "implied move MSFT", "iron condor for META", "IV rank AAPL earnings", "earnings play TSLA", "should I short premium before AMZN earnings", "post-earnings IV drop", "straddle before earnings", "pre-earnings strategy"Votes: 0GitHub stars: 17
- Alphagbm Fear ScorePer-ticker panic index (0-100) that weights six real signals: VIX, IV Rank, RSI-14, options volume anomaly, Put/Call ratio, and consecutive-down days. Scores ≥ 60 trigger a Bull Put Spread entry signal. Based on the FearDesk methodology; tested at ~10.8% annualized ROC for BPS entries on signal vs ~3.5% unconditional. Triggers: "fear score QQQ", "is NVDA oversold", "panic index SPY", "BPS signal TSLA", "is it fear time", "BPS entry timing", "when to sell put", "is AAPL panic", "contrarian ent...Votes: 0GitHub stars: 17
- Alphagbm GreeksGreeks dashboard for any option contract or multi-leg position. Covers first-order Greeks (Delta, Gamma, Theta, Vega, Rho) and second-order Greeks (Charm, Vanna, Volga). Returns individual and position-level Greeks with scenario heatmaps. Use when: checking option sensitivities, managing position risk, understanding theta decay, analyzing gamma exposure, hedging a portfolio. Triggers on: "Greeks for AAPL 220 call", "position Greeks", "theta decay analysis", "gamma exposure NVDA", "delta of my...Votes: 0GitHub stars: 17
- Alphagbm Health CheckWeekly diagnostic report on a user's research knowledge base — flags stale profiles (not updated in weeks), thesis drift (AI detects original premise no longer holds), and orphan pages (profiles with no thesis, themes with missing profiles). Returns an overall 0-100 health score with specific action recommendations. Use when: auditing knowledge base state, triggering a fresh report, reviewing what needs attention. Triggers on: "health check my research", "what's stale", "any drift", "generate...Votes: 0GitHub stars: 17
- Alphagbm Hedge AdvisorScenario-driven hedge recommendations for an existing stock position. Takes ticker + cost basis + purpose, auto-classifies the holding situation (falling knife / bottom-fishing / gain-protection / normal) and returns concrete Long Put, Collar, or Tier-down recommendations with live strikes and premiums from the current option chain. Triggers: "hedge my AAPL", "protect my NVDA gains", "collar strategy MSFT", "long put for TSLA", "how to hedge falling knife COIN", "reduce risk BABA", "lock in g...Votes: 0GitHub stars: 17
- Alphagbm Investment ThesisRecord and track the "why I bought" and "when I sell" for each position. Each thesis is attached to a company profile: buy reasons in prose, sell conditions as structured triggers (price drop, PE spike, thesis breach). The system monitors conditions automatically and flips the thesis to "triggered" when one fires. Use when: writing buy logic, setting exit triggers, reviewing active theses, seeing which triggered. Triggers on: "write a thesis for NVDA", "why did I buy AAPL", "set a stop loss l...Votes: 0GitHub stars: 17
- Alphagbm Iv RankIV Rank and IV Percentile analysis showing where current implied volatility stands relative to its 252-day history. Returns IV rank (0-100), IV percentile (0-100), IV history data, and trading signals based on IV zone. Use when: deciding whether to buy or sell premium, checking if IV is high or low, timing volatility trades, screening for IV extremes. Triggers on: "IV rank AAPL", "is NVDA IV high", "IV percentile SPY", "historical IV TSLA", "is volatility cheap for META", "IV rank scan", "sho...Votes: 0GitHub stars: 17
- Alphagbm Macro ViewTrack the macro variables that actually move your portfolio — VIX, US10Y, DXY, gold, oil, etc. — with auto-computed impact on user's holdings. Each tracked indicator returns current value, change, and AI-generated impact analysis linked to the user's profiles. Use when: adding a macro indicator, pulling current macro dashboard, asking how VIX affects the portfolio. Triggers on: "track VIX", "current 10-year yield", "how's the dollar doing", "add gold to my macro watch", "remove US10Y", "宏观指标"...Votes: 0GitHub stars: 17
- Alphagbm Market SentimentMarket-wide sentiment dashboard with VIX, Put/Call ratio, Fear & Greed Index, market breadth, and sector rotation analysis. Classifies current regime as risk-on, risk-off, or neutral. Triggers: "market sentiment", "is the market fearful", "VIX analysis", "put call ratio", "market breadth", "fear and greed", "risk on or risk off", "advance decline", "new highs new lows", "sector rotation", "market regime"Votes: 0GitHub stars: 17
- Alphagbm Marks CycleHoward Marks-style market cycle position 0-100, with 0 = panic bottom (hard offense) and 100 = euphoric top (hard defense). Blends VIX (40%) + SPY IV Rank (25%) + Put/Call ratio (20%) + valuation percentile (15%) into a single number and maps to an offense-vs-defense posture. Authenticated signal, no analysis-credit deduction, 5-min cache — the goal is to make "where are we in the cycle" a one-call lookup. Triggers: "where is the market in the cycle", "Howard Marks style cycle read", "am I su...Votes: 0GitHub stars: 17
- Alphagbm Options ScoreScore and rank options contracts for any ticker using AlphaGBM's multi-factor scoring model (liquidity, IV attractiveness, Greeks balance, risk/reward). Returns scored option chains with the best contracts highlighted. Use when: evaluating which option to trade, finding the best strike/expiry, ranking options by quality. Triggers on: "score AAPL options", "best options for NVDA", "which TSLA call should I buy", "option chain for SPY", "rank META puts".Votes: 0GitHub stars: 17
- Alphagbm Options StrategyRecommends optimal multi-leg option strategies based on your market view (bullish, bearish, neutral, volatile). Supports 15+ strategy templates including spreads, condors, straddles, and income plays. Returns full P&L profile, breakevens, and probability of profit. Use when: choosing an options strategy, planning a trade around earnings, building a multi-leg position, comparing strategy alternatives. Triggers on: "options strategy for AAPL", "bullish strategy NVDA", "what's the best play on T...Votes: 0GitHub stars: 17
- Alphagbm Pnl SimulatorP&L simulation engine for any single-leg or multi-leg option position. Generates profit/loss diagrams at expiry, P&L over time, what-if scenarios (price, IV, time), breakeven analysis, and probability distributions. Use when: testing a trade idea, visualizing risk/reward, running what-if scenarios, checking breakeven points, stress-testing a position. Triggers on: "simulate PnL for AAPL bull call spread", "what if NVDA drops 10%", "P&L diagram", "test my iron condor", "breakeven analysis", "s...Votes: 0GitHub stars: 17
- Alphagbm PolymarketIntegrates prediction market data (Polymarket) with options analysis to surface mispricing signals between event probabilities and options-implied probabilities. Triggers: "polymarket signals", "prediction market vs options", "event probability", "rate cut odds", "election odds vs options", "polymarket arbitrage", "implied probability mismatch", "prediction market data", "event-driven options"Votes: 0GitHub stars: 17
- Alphagbm Stock AnalysisAI-powered stock analysis using AlphaGBM's fundamentals, valuation, market sentiment and risk analysis with real market data. Returns an evidence-backed analysis and risk score. Use when: analyzing any stock ticker, evaluating buy/sell decisions, comparing stock fundamentals, assessing risk levels. Triggers on: "analyze AAPL", "what do you think about NVDA", "should I buy TSLA", "stock analysis for META", "is SPY overvalued", "risk assessment for GOOGL".Votes: 0GitHub stars: 17
- Alphagbm Take ProfitQuantifies whether a stock is suitable for long-term holding or requires tiered profit-taking — using a novel "rollercoaster rate" metric (probability that an entry's paper profit reaches +50% then falls back >50% from peak before exit). Runs 15 exit strategies over ~10 years of daily history per ticker and returns medians for each. First query for a new ticker takes ~30s and gets cached globally; subsequent queries are instant. Triggers: "should I hold TQQQ long-term", "take-profit strategy ...Votes: 0GitHub stars: 17
- Alphagbm Tepper SignalQuantified version of David Tepper's 2009 (+132%) and 2020 (+82%) panic-buy playbook. Detects whether current conditions match Tepper's signal: VIX ≥ 35 AND FearScore ≥ 80 AND quality filter (large-cap, positive margin). Only fires during genuine market panics — the rest of the time it returns the "waiting" state, which is ~80% of all days per Tepper's own framework. The API reuses our existing FearScore module, so the signal is directly comparable to the multi-indicator panic index. Triggers...Votes: 0GitHub stars: 17
- Alphagbm Theme ResearchGroup related tickers into investment themes — AI infra, HK dividend, EV supply chain, biotech catalysts — with theme-level AI summary and news keyword monitoring. Each theme is a named bag of tickers plus keywords the system watches for you. Use when: creating a themed basket, pulling up a theme's aggregated view, adding/removing tickers, monitoring news around a topic. Triggers on: "create an AI infra theme", "show my themes", "add MSFT to AI theme", "what's happening in HK dividend", "主题研究...Votes: 0GitHub stars: 17
- Alphagbm Unusual ActivityDetects unusual options activity and smart money signals. Monitors volume/OI ratio spikes, large block trades, unusual strike/expiry combinations, and net premium flow. Triggers: "unusual options activity", "smart money AAPL", "large trades NVDA", "who's buying TSLA puts", "options flow", "block trades", "sweep orders", "unusual volume", "dark pool activity", "whale trades"Votes: 0GitHub stars: 17