Finance
Personal finance, budgeting, financial tools
arxiv-search
by DeevsDeevs
"Search arXiv preprint repository for research papers in physics, mathematics, computer science, quantitative biology, finance, and statistics. Use when finding academic papers, preprints, ML research, scientific publications. Triggers: arxiv, preprint, research paper, academic paper, scientific literature."
polars-expertise
by DeevsDeevs
This skill should be used when the user asks about Polars DataFrame library (Apache Arrow) for Python or Rust. Triggers: "polars expressions", "lazy vs eager", "scan_parquet streaming", "convert pandas to polars", "pyspark to polars", "kdb to polars", "group_by_dynamic", "rolling_mean", "polars window functions", "asof join", "polars GPU", "polars parquet", "LazyFrame". Time series: OHLCV resampling, rolling windows, financial data patterns. Performance: native expressions over map_elements, early projection, categorical types, streaming.
business
by aviflombaum
SaaS unit economics and growth strategy. Use for LTV, CAC, MRR/ARR analysis, payback period, churn analysis, Rule of 40, and SaaS financial modeling. Triggers on "unit economics", "ltv", "cac", "mrr", "arr", "churn", "saas metrics".
demand-forecasting
by kishorkukreja
When the user wants to forecast demand, build forecasting models, or improve forecast accuracy. Also use when the user mentions "demand planning," "sales forecasting," "time series," "forecast accuracy," "demand sensing," "statistical forecasting," or "predictive analytics." For capacity planning based on forecasts, see capacity-planning. For S&OP integration, see sales-operations-planning.
capacity-planning
by kishorkukreja
When the user wants to plan production or distribution capacity, analyze capacity requirements, optimize resource utilization, or balance capacity with demand. Also use when the user mentions "capacity analysis," "resource planning," "bottleneck analysis," "capacity expansion," "load balancing," "throughput planning," "utilization optimization," or "capacity modeling." For production scheduling, see master-production-scheduling. For long-term network capacity, see network-design.
social-media
by mfwarren
Production-ready entrepreneurship skills for Claude Code — marketing, sales, operations, finance, and leadership. 24 skills built by a founder, for founders.
paid-ads
by mfwarren
Production-ready entrepreneurship skills for Claude Code — marketing, sales, operations, finance, and leadership. 24 skills built by a founder, for founders.
ddd
by jackjin1997
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azure-cost-calculator
by ahmadabdalla
Helps estimate and calculate Azure resource costs. Use this skill when users ask about Azure pricing, cost estimation, resource sizing costs, comparing pricing tiers, budgeting for Azure deployments, or understanding Azure billing. Triggers include questions like "how much will this cost in Azure", "estimate Azure costs", "compare Azure pricing", "budget for Azure resources".
Businessstrategy
by robdtaylor
MBA-trained business strategist with full commercial awareness. USE WHEN user says 'business plan', 'financial analysis', 'P&L', 'cash flow', 'valuation', 'market analysis', 'competitive analysis', 'SWOT', 'business model', 'unit economics', 'fundraising', 'pitch deck', or needs strategic business guidance.
Automotiveproductplanning
by robdtaylor
Strategic 5-10 year product planning for low-volume sportscar and specialist vehicle manufacturers. Covers new production vehicles, restomods/continuation cars, bespoke commissions, and motorsport programmes. Board-ready financial analysis with NPV/IRR. Integrates with HoshinKanri, SupplyChain, and AutomotiveManufacturing skills. USE WHEN creating product roadmaps, model lifecycle planning, platform strategy, powertrain transitions, competitive positioning, or OEM partnership evaluation.
planning-base
by OzeroHAX
Apply shared planning baseline (format, verifiability, assumptions) before creating any concrete change plan
cost-metering
by ScientiaCapital
"Track and manage API costs across sessions. Budget alerts, model routing for cost optimization, spend reports. Use when: cost check, budget status, how much spent, optimize costs, cost tracking."
brainstorm
by Aedelon
Multi-agent brainstorming and strategic thinking on any complex topic. Explores the subject deeply, then spawns specialized sub-agents in parallel for diverse expert perspectives. MUST BE USED PROACTIVELY when user faces any decision, architectural choice, design question, strategic dilemma, or open-ended problem that benefits from multiple viewpoints. Triggers: "brainstorm", "explore ideas", "what are the options", "how should I approach", "pros and cons", "compare approaches", "what do you think about", "best way to", "should I use X or Y", "what's the best approach", "help me decide", "trade-offs", "alternatives", "strategy for", "how would you", "what's your take", "opinions on", "which one", "recommend", "suggest", "ideas for", "possibilities", "ways to", "what direction", "where to start", "what's better".
mckinsey-research
by Abdullah4AI
Run a full McKinsey-level market research and strategy analysis using 12 specialized prompts. USE WHEN: - market research, competitive analysis, business strategy, TAM analysis - customer personas, pricing strategy, go-to-market plan, financial modeling - risk assessment, SWOT analysis, market entry strategy, comprehensive business analysis - بحث سوق, تحليل استراتيجي, تحليل منافسين, دراسة جدوى, خطة عمل - "حلل لي السوق" for business entry or investment decisions DON'T USE WHEN: - User wants a quick opinion on a business idea → just answer directly - Product recommendations or shopping → use personal-shopper - Content strategy for social media → use viral-equation - Simple web search for company info → use web_search directly - Comparing products to buy → use personal-shopper - Analyzing a single competitor briefly → just answer directly EDGE CASES: - "حلل لي السوق" with a specific product to buy → personal-shopper (not this skill) - "حلل لي السوق" for business entry → this skill - "وش أفضل منتج" → personal-shopper - "وش حجم سوق X" → this skill - "قارن لي بين منتجين" → personal-shopper - "قارن لي بين شركتين" as competitors → this skill - "دراسة جدوى مشروع" → this skill - "أبغى أفتح مشروع" → this skill (full analysis) - "أبغى أشتري لابتوب" → personal-shopper (purchase, not business) INPUTS: Business description, industry, target customer, geography, financials (optional) TOOLS: sessions_spawn (sub-agents), web_search, web_fetch OUTPUT: Complete strategy report saved to artifacts/research/{date}-{slug}.html SUCCESS: User gets 12 consulting-grade analyses synthesized into one actionable report
pseo-scale
by lisbeth718
Architect programmatic SEO systems for 10K-100K+ pages with database-backed data layers, data sufficiency gating, incremental validation, crawl budget management, content enrichment pipelines, and edge delivery. Use when scaling beyond 10K pages, when builds are OOMing, when Google is not indexing all pages, or when the current in-memory architecture has hit its limits.
free-tool-strategy
by 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.
gradients
by unitarylab
Master routing guide for all quantum gradient and geometric tensor methods in this folder. Read this file first, then follow the leaf skill for the chosen method.
cartan
by unitarylab
"Simulate the time evolution of a quantum system using Cartan decomposition."
streamlit-pivot
by streamlit
"Build Streamlit apps with st_pivot_table — a BI-focused pivot table component supporting multi-dimensional pivoting, subtotals, conditional formatting, Excel/CSV/TSV export, drill-down, drag-and-drop, date hierarchies with period-over-period comparisons, synthetic measures (including formula measures), Top N / Bottom N and value-predicate analytical filters (0.5.0+), show-values-as analytical display modes (running total, rank, % of parent, index), values axis placement (values_axis rows/columns, 0.5.0+), multi-field chained sorting (0.5.0+), custom member grouping — combine multiple dimension values into a named group for cleaner rollups (member_groups, 0.6.0+), server-side pre-aggregation for large datasets, and aggregation result memoization for significant latency reduction on display-only reruns (number_format, style, show_values_as — groupby is skipped on repeat renders in threshold_hybrid mode). Use when: user wants a pivot table in Streamlit, mentions streamlit_pivot / st_pivot_table, needs interactive data summarization, Top N filter, value filter, running total, rank, income statement layout, values on rows, financial report, wants to group dimension members (e.g. combine regions, bundle categories), or wants to deploy to Streamlit Community Cloud or Streamlit in Snowflake (SiS) on SPCS (installed from PyPI via PYPI_ACCESS_INTEGRATION). Triggers: pivot table, streamlit_pivot, st_pivot_table, pivot, crosstab, data summarization, top N, top n filter, value filter, running total, rank, values on rows, income statement, financial layout, member group, group members, combine regions, bundle categories, custom grouping, SiS, SiS on SPCS, Snowflake streamlit, PYPI_ACCESS_INTEGRATION, Streamlit Community Cloud, aggregation cache, memoization, display-only rerun, near-zero latency."
assembling-context
by axiomantic
"Prepare tiered context packages for subagents and manage token budgets. Triggered by 'prepare context for', 'assemble context', 'token budget', or invoked by implementing-features Phase 3.5/4.2."
fractal-thinking
by axiomantic
Adaptive recursive thought engine for deep exploration. Invoked by other skills (brainstorming, fact-checking, debugging, deep-research) when they need to deeply explore uncertainty, systematically decompose complex questions, or gain certainty about multi-faceted problems. Triggers: "think deeply about", "explore this recursively", "I need certainty about", "decompose this question", "what am I missing". Also invoked programmatically with a seed, intensity, and checkpoint mode. NOT for: simple questions with known answers, linear task execution, or file-by-file code review.
analyzing-financial-statements
by ronnycoding
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
creating-financial-models
by ronnycoding
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions