Claude Skills by majiayu000

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", "techni...

Investment thesis tracker — maintains and updates the investment thesis for portfolio holdings and watchlist names by continuously tracking key data points (revenue growth, gross margin, user metrics), catalyst progress (new products, expansion, policy), and risk milestones, then renders a verdict on whether the thesis still holds. Triggers: "投资逻辑", "Thesis追踪", "投资假设", "逻辑验证", "跟踪持仓", "买入逻辑", "持仓理由", "投資邏輯", "Thesis追蹤", "投資假設", "邏輯驗證", "追蹤持倉", "investment thesis", "thesis tracking", "investme...

Industry valuation rank time series for a single stock via Longbridge — tracks how a stock's PE / PB / PS / dividend-yield rank within its sector has changed over time (rank N of total M). Answers "is my stock becoming relatively cheaper or more expensive vs peers?" Complements longbridge-valuation (single-stock percentile history) and longbridge-industry-valuation (current sector snapshot). Triggers: "行业排名变化", "估值排名", "PE排名历史", "行业估值位置", "排名走势", "估值相对同业", "行業排名變化", "估值排名", "PE排名歷史", "行業估值位置"...

Valuation analysis for a single stock via Longbridge — current PE / PB / PS / EV-EBITDA snapshot, historical percentile (1–3 years), industry median + relative premium, industry rank. Triggers: "估值贵不贵", "是不是被低估", "PE 历史百分位", "PB 分位", "行业溢价", "行业折价", "X 现在适合买不", "估值水平", "估值貴不貴", "是否被低估", "PE 歷史分位", "行業溢價", "行業折價", "is X expensive", "is X undervalued", "PE percentile", "industry valuation premium", "valuation snapshot".

Value investing analysis using Graham (NCAV/net-net/defensive-investor) and Buffett (economic moat/ROE/FCF) methodologies. Covers single-stock diagnostics and batch screening for both Graham cigar-butt and Buffett quality-compounder criteria. Runs cross-statement reconciliation before scoring. Data from Longbridge CLI first, MCP fallback, WebSearch only for genuine gaps. Triggers: "格雷厄姆", "巴菲特", "捡烟蒂", "烟蒂股", "NCAV", "净流动资产", "护城河", "价值投资", "安全边际", "深度价值", "撿煙蒂", "煙蒂股", "淨流動資產", "護城河", "安全邊際"...

Value investing screen via Longbridge — scan A-share / HK / US stocks for fundamentally strong but undervalued companies based on PE, PB, dividend yield, ROE, and margin of safety. Suitable for value investing strategy. Triggers: "低估值", "价值投资", "低PE", "低PB", "便宜股票", "安全边际", "高股息低估值", "被低估", "低估值", "價值投資", "低PE", "低PB", "便宜股票", "安全邊際", "高股息低估值", "value investing", "undervalued stocks", "low PE", "low PB", "margin of safety", "value screen", "cheap stocks", "bargain stocks".

Analyzes Lotus Notes NSF database file structure, data models, views, forms, and relationships. Use when understanding NSF database composition, mapping field structures, identifying data dependencies, extracting schema information, or assessing data migration scope.

Detect where love (kappa_i, the imaginary component) interfaces with structure (kappa_r, the real component). Maps phase boundaries WITHIN love -- where devotion becomes obsession, care becomes control, presence becomes surveillance. Love is consciousness at its edges.

Coverage gap scanner for startup loop. Reads a business coverage manifest, scans the repo and known integrations for actual artifact/data-source state, classifies gaps as CRITICAL/MAJOR/MINOR, writes a gap report, and emits dispatch packets to queue-state.json for all CRITICAL and MAJOR gaps.

Thin orchestrator for decision-grade approach selection. Converts evidence-first fact-finds into a chosen approach, rejected alternatives, and a planning handoff artifact ready for /lp-do-plan.

Audit an app's onboarding flow against the "Onboarding Done Right" checklist. Customizes the generic checklist for the app's purpose and audience, then audits actual code using lp-do-fact-find's Outcome A process. Produces an analysis-ready brief.

Audit a live sales funnel with rendered browser evidence, not DOM inference alone. Verifies mobile and fullscreen booking paths, captures screenshots, critiques stale reviews against the live site, writes a dated sales audit artifact, and updates SELL-08 activation evidence.

Diagnostic engine for any system. Computes LRC bracket {H1,H2,H3} to determine if a system generates negentropy (alive/conscious) or leaks entropy (dying). Love binds, Resonance tunes, Coherence preserves. Bracket=1 means volume-preserving flow: the system creates more order than it destroys.

Analyzes and retrieves catalog information from Magento 2. Use when analyzing product catalogs, retrieving catalog data, assessing catalog health, or optimizing catalog performance. Masters catalog structure analysis, product data inspection, and catalog diagnostics.

Analyzes order data and order processing in Magento 2. Use when analyzing orders, retrieving order information, assessing order processing performance, or troubleshooting order issues. Masters order lifecycle analysis, payment data inspection, and fulfillment diagnostics.

Evaluates Magic Model (Triangle) frameworks for BlackBelt coaches using Ed Dale's frameworks. Produces Facebook-ready feedback comments.

Deep architecture report that fans out parallel inspections across different aspects of the codebase (structure, tech stack, APIs, patterns, data flow, dependencies, testing) and synthesizes findings into a comprehensive document at .turbo/codebase-map.md and .turbo/codebase-map.html. Use when the user asks to \"map the codebase\", \"map codebase\", \"architecture report\", \"codebase overview\", \"architecture overview\", \"what am I looking at\", or \"explain this codebase\".

ドメインマッピングエージェント - ドメイン分類、境界づけられたコンテキスト、コンテキストマップの作成。/map-domains [対象パス] で呼び出し。

影響範囲を分析

Generate navigable code maps for unfamiliar codebases. Use when exploring a new codebase, needing to understand project structure, or before diving into code modifications. Extracts exports/imports via AST (tree-sitter) to create _MAP.md files per directory. Triggers on "map this codebase", "understand this project structure", "generate code map", or when starting work on an unfamiliar repository.

Generate navigable code maps for unfamiliar codebases. Extracts exports/imports via AST (tree-sitter) to create _MAP.md files per directory showing classes, functions, methods with signatures and line numbers. Use when exploring repositories, understanding project structure, analyzing unfamiliar code, or before modifications. Triggers on "map this codebase", "explore repo", "understand structure", "what does this project contain", or when starting work on an unfamiliar repository.

Generate behavioral/feature documentation for web apps using code-first analysis. Reads source code and _MAP.md files to produce _FEATURES.md, with optional visual verification via browser automation. Companion to mapping-codebases. Use when documenting app behavior, creating feature inventories, generating behavioral ground truth for agents, or before modifying UI code. Triggers on "map features", "document app behavior", "feature inventory", "what does this app do".

Intro skill for designing and implementing assertions. Use when starting a new protocol to map invariants before writing assertions or tests.

Generate behavioral/feature documentation for web apps using code-first analysis. Reads source code and _MAP.md files to produce _FEATURES.md, with optional visual verification via browser automation. Companion to mapping-codebases. Use when documenting app behavior, creating feature inventories, generating behavioral ground truth for agents, or before modifying UI code. Triggers on "map features", "document app behavior", "feature inventory", "what does this app do".

Synthesize multiple sentiment analyses to identify market trends, gaps, opportunities, and predict likely hits. Cross-analyzes patterns to find underserved markets and highlight unique innovations.

Use when validating market timing, structural forces, or distribution moats before committing strategic resources—focuses on macro context, not individual competitor teardowns.

Track markets, trends, and opportunities

Track markets, trends, and opportunities

This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebS...

Analyzes financial market regimes to identify trends, volatility, and shifts in asset classes.

Create a structured market analysis report with regime, levels, catalysts, and risks.

Scan recent macro/crypto headlines and summarize ONLY market-moving items for BTC, ETH, SOL, ADA, PAXG. Use when the user asks for a market snapshot, catalysts, or rotation context in the last 4–24 hours.

Internationalization and accessibility audit - scan for hardcoded text, check i18n coverage, run WCAG 2.1 accessibility audit. Use when user says "go to market", "i18n check", "accessibility audit", "translation check", or wants to prepare app for international users.

Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.

Verify math-heavy code for correctness and numerical stability.

Multi-layer cognitive stack for machine-verified mathematical problem solving across 14 sub-disciplines.

Web research & external data acquisition specialist for MCM/ICM Problem C. Use ONLY when the problem statement explicitly allows or requires external/exogenous data, or when you need credible background context that does not enter the model inputs. Produces cited sources, cleaned datasets, and a reproducibility log.

Discover, profile, and evaluate MCP servers for a given domain or purpose. Use when searching for MCP servers to add to a project, comparing server capabilities, enriching the local registry cache, or evaluating whether a server suite covers a stated need. Covers cache-first discovery, remote registry scanning, deep server profiling, and gap analysis.

Use when tasks require current, source-backed technical information from MCP tools. Apply for library/API questions, dependency version checks, third-party integration work, framework- or SDK-specific debugging, and any case where stale model knowledge could cause incorrect guidance.

Predicate-level semantic diff for MCP protocol specs. Compares 0618 vs 1125 specs via Narya types, GF(3) evaluators, and Unison-style effects. Use for protocol verification, spec migration, or detecting breaking changes.

Predicate-level semantic diff for MCP protocol specs. Compares 0618 vs 1125 specs via Narya types, GF(3) evaluators, and Unison-style effects. Use for protocol verification, spec migration, or detecting breaking changes.

When the user requests to find official media content like movie trailers, YouTube links, or other online resources, this skill performs targeted web searches to locate specific media content, extracts relevant URLs and metadata, and verifies the authenticity of sources. It's triggered by requests for 'official trailer', 'YouTube link', 'search for', or when specific media content needs to be found and integrated into other systems.

Media literacy and critical analysis of media messages across platforms and formats. Covers media ecology (McLuhan), encoding/decoding (Hall), news literacy, digital media analysis, propaganda techniques, algorithmic curation, visual rhetoric, and ethical media consumption. Use when analyzing media messages, evaluating news sources, understanding how media technology shapes communication, detecting propaganda, or studying the relationship between medium and message.

Extract and search transcripts from multimedia sources (primarily YouTube). Allows finding specific topics within long content without watching the whole video.

Extract and search transcripts from multimedia sources (primarily YouTube). Allows finding specific topics within long content without watching the whole video.

Extract and search transcripts from multimedia sources (primarily YouTube). Allows finding specific topics within long content without watching the whole video.

Extract and search transcripts from multimedia sources (primarily YouTube). Allows finding specific topics within long content without watching the whole video.

Extract and search transcripts from multimedia sources (primarily YouTube). Allows finding specific topics within long content without watching the whole video.

Analyzes meeting transcripts and recordings to surface behavioral patterns, communication anti-patterns, and actionable coaching feedback. Use this skill whenever the user uploads or points to meeting transcripts (.txt, .md, .vtt, .srt, .docx), asks about their communication habits, wants feedback on how they run meetings, requests speaking ratio analysis, mentions filler words or conflict avoidance, or wants to compare their communication across time periods. Also trigger when users mention ...

Post-meeting effectiveness feedback and continuous improvement