Finances
Finances personals, pressupostos i eines financeres
annual-report-red-flag-auditor
noahnan-max
Use when analyzing a listed company's annual report for financial-report red flags, financial quality scoring, fraud/earnings-management risk, asset quality, profit quality, cash-flow quality, parent/consolidated report differences, related-party risks, or when producing a standardized 财报排雷 report.
go-to-market-planner
luisschmitzheadline
Comprehensive 90-day GTM strategy builder. Designs customer acquisition channels, budget allocation, growth targets, and tactical execution roadmap. Produces detailed launch plan with weekly milestones and success metrics.
financial-statements
luisschmitzheadline
Generate income statements, balance sheets, and cash flow statements with GAAP presentation and period-over-period comparison. Use when preparing financial statements, running flux analysis, or creating P&L reports with variance commentary.
finance-and-runway
luisschmitzheadline
Runway and finance snapshot: burn, runway (months), cash, optional unit economics. Use when preparing runway review or finance snapshot for board/investors.
weather
JinFanZheng
Weather/current-conditions verification workflow. Use when user asks for weather, temperature, forecast, rain/snow/wind, typhoon alerts, air quality, or other time-sensitive local conditions. Requires location + source links + local update/publish time; NEVER fabricate.
data-analysis
JinFanZheng
Data analysis and statistical computation. Use when user needs "数据分析/统计/计算指标/数据洞察". Supports general analysis, financial data (stocks, returns), business data (sales, users), and scientific research. Uses pandas/numpy/scikit-learn for processing. Automatically activates data-base for data acquisition.
growth-modeling
SkeneTechnologies
When the user wants to build quantitative growth models -- including loop-based models, sensitivity analysis, revenue forecasting, or unit economics. Also use when the user says "growth forecast," "revenue model," "CAC LTV," "growth projections," or "financial model." For growth loops, see growth-loops. For PLG metrics, see plg-metrics.
claude-domain-skills
miles990
非技術領域專業知識集合，包含商業、金融、創意、專業服務、生活、方法論等 18 個領域
open-cmo
About-Intelligence
Real-world growth & GTM know-how from 16 tech-company experts. Covers: paid ads (Google/Meta/LinkedIn), out-of-home & ABM, channel selection, PLG→Enterprise, SEO/GEO, programmatic SEO, launches & Product Hunt, pricing & monetization for AI products, ad creative strategy, organic and viral growth, and growth engineering with agents. Distilled from primary sources: interviews, transcripts, bylined articles. Contributors include Rex Gelb (Cursor), Jared Liu (YouMind), Ben Lang (Notion/Cursor), Lena Waters (Notion), Karri Saarinen (Linear), Morgane Palomares (ex-Vercel), Elena Verna (Lovable), Holly Chen (ExponentialX), Phil Carter (Elemental Growth), Austin Lau (Anthropic), Matt Swulinski (Wispr Flow), Meltem Kuran Berkowitz (Deel), Yuriy Timen (Grammarly), Grant Lee (Gamma), Chris Pedregal (Granola), and Frank (AI product, 5M users). Plus company teardowns: PSEO canonical patterns (Zapier, Canva, G2, Wise, Nomad List, Tripadvisor, Glassdoor), a Canva deep-dive (JTBD page design and the AI citation paradox), OpenRouter's data-flywheel PSEO, and a debunk of the widely-miscited Jasper traffic story.
engagement-loops
SkeneTechnologies
When the user wants to design engagement loops that drive repeated product usage -- including notification strategy, habit formation, or re-engagement triggers. Also use when the user says "DAU/MAU," "habit loop," "trigger action reward," "engagement framework," or "how to bring users back." For retention analysis, see retention-analysis. For feature adoption, see feature-adoption.
mle-workflow
SeuPut0705
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
economist-analyst
rysweet
Analyzes events through economic lens using supply/demand, incentive structures, market dynamics, and multiple schools of economic thought (Classical, Keynesian, Austrian, Behavioral). Provides insights on market impacts, resource allocation, policy implications, and distributional effects. Use when: Economic events, policy changes, market shifts, financial crises, regulatory decisions. Evaluates: Incentives, efficiency, opportunity costs, market failures, systemic risks.
plotly
tondevrel
A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.
business-decomposition-order-quality
spikeHongg
Break down an A-share company's business model into segments, customers, products, regions, projects, and order pipeline quality. Use this skill when testing whether reported growth is supported by real delivery, healthy customers, and cash collection. All outputs must include accessible source links.
risk-warning-catalysts
spikeHongg
Build a source-backed monitoring system for risk signals and catalysts in an A-share company. Use this skill when turning static research into an update process covering orders, financing, governance, policy, operations, and sentiment. All outputs must include accessible source links.
financial-health
spikeHongg
Evaluate the financial health of an A-share company through earnings quality, cash conversion, working capital, leverage, and balance-sheet risk. Use this skill when revenue and profit trends diverge from cash flow, when debt and capex matter, or when impairment and receivable quality are major concerns. All outputs must include accessible source links.
china-stock-research-orchestrator
spikeHongg
Orchestrate a full China stock research workflow by first identifying the company's analysis patterns, then selecting and sequencing the right core research skills, optional overlays, and final output structure. Use this skill when starting a new stock deep-dive or when a user wants one unified, source-backed research framework instead of isolated module outputs.
valuation-investment-strategy
spikeHongg
Convert a source-backed A-share research view into valuation scenarios and an investment plan. Use this skill after strategy, business, financial, industry, and risk work is complete. Choose methods that fit the business model and explain assumptions with accessible source links.
extended-thinking
vanman2024
Deep reasoning with Claude's extended thinking feature for complex multi-step problems. Use when implementing think-aloud reasoning, complex analysis, or debugging difficult issues.
trump-truthsocial-catalyst
yan-labs
Decision-support lens for reading Donald Trump's Truth Social posts, @realDonaldTrump X posts, public statements, and disclosed personal holdings as short-term US-stock catalysts — which names or sectors are likely to pop, and how reliably. Use this skill whenever the user asks what a Trump post / statement means for a stock, mentions "特朗普", "Trump post", "Truth Social", "@realDonaldTrump", "POTUS", a Trump endorsement/attack of a company, a tariff / crypto / energy / AI-infra / defense policy signal from Trump, or wants to know which stocks Trump owns or might pump next. Also trigger when evaluating a buy/sell around a Trump headline or building a Trump-catalyst watchlist. Live-fetches the latest public posts first (no local archive). Decision-support only — never auto-trades and never places or cancels orders.
intent-interview
ArcBlock
Transform vague ideas into implementation-ready specifications through structured interviewing. Use when user describes a new feature/product idea, has a problem to solve, or needs to document requirements. Two-phase process: Phase A produces decisions.md, Phase B composes INTENT.md under budget constraints.
free-tool-strategy
VladimirBrejcha
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," or "free resource." This skill bridges engineering and marketing — useful for founders and technical marketers.
marketing-psychology
VladimirBrejcha
"When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application."
data-throughput-accelerator
SeuPut0705
Diagnose and accelerate large data movement — ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization — by isolating the true bottleneck, benchmarking variants, and codifying the fastest path with a hard accounting block proving rows and timestamps cohere. Use when a pipeline or backfill is too slow and must get faster without losing data correctness.