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Found 2,089 Skills
Calculate engagement rates for creator posts and benchmark them against platform and tier averages. This skill should be used when calculating an influencer's engagement rate, benchmarking creator engagement against industry averages, evaluating whether a creator's engagement is above or below average for their tier, comparing engagement rates across platforms, checking if engagement rates suggest fake followers, auditing a creator's engagement quality before a partnership, analyzing engagement by content type (reels, stories, feed posts, TikTok videos), or assessing engagement trends across a creator's recent posts. For estimating fair market rates based on engagement, see creator-rate-estimator. For full creator vetting beyond engagement, see creator-vetting-scorecard. For scoring niche fit, see niche-fit-scorer.
Petrophysical analysis and formation evaluation from well logs. Calculate porosity, water saturation, permeability, and lithology. Use when Claude needs to: (1) Calculate shale volume from gamma ray, (2) Compute porosity from density/neutron/sonic logs, (3) Estimate water saturation using Archie or Simandoux, (4) Calculate permeability from porosity and saturation, (5) Perform pay zone identification, (6) Conduct multi-mineral analysis, (7) Generate petrophysical summation plots.
L3 Worker. Goal-based open-source replacement auditor: discovers custom modules (>100 LOC), analyzes PURPOSE via code reading, searches OSS alternatives via MCP Research (WebSearch, Context7, Ref), evaluates quality (stars, maintenance, license, CVE, API compatibility), generates migration plan.
Perform a full AWS Well-Architected Framework review of a workload, evaluating all six pillars and producing a prioritized findings report with actionable recommendations.
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.
Laserfocus platform help — Salesforce overlay with Stacks, table views, bulk editing, precache technology, and task management. Use when reps find native Salesforce UI too complex for daily pipeline work, Salesforce data entry is slow and reps skip updates, evaluating Laserfocus vs Scratchpad vs Weflow vs Dooly for Salesforce overlay, need a lightweight Salesforce alternative without replacing the CRM, or Laserfocus Stacks or Field Groups not working as expected. Do NOT use for general CRM selection (use /sales-crm-selection) or conversation intelligence / call recording (use /sales-note-taker).
Calculate present value, future value, NPV, IRR, loan payments, and amortization schedules across all compounding conventions. Use when the user asks about discounting cash flows, valuing an annuity or perpetuity, comparing investments with different timing, building a mortgage amortization table, or evaluating whether a project is worth pursuing. Also trigger when users mention 'what is it worth today', 'how much will I have in 20 years', 'monthly payment on a loan', 'discount rate', 'Gordon growth model', 'effective annual rate', 'continuous compounding', or ask how to compare a lump sum versus a stream of payments.
Analyzes events through legal lens using statutory interpretation, case law analysis, legal reasoning, constitutional principles, and multiple legal frameworks (common law, civil law, international law). Provides insights on legal rights, obligations, liabilities, remedies, and compliance requirements. Use when: Legal disputes, contracts, regulations, compliance, rights analysis, liability assessment. Evaluates: Legal obligations, rights, liabilities, remedies, precedent, statutory authority, constitutionality.
Identify risky assumptions for a new product idea across 8 risk categories including Go-to-Market, Strategy, and Team. Use when evaluating startup risks, assessing a new product concept, or mapping assumptions for a new venture.
Evaluates, configures, and migrates workloads to AWS Lambda Managed Instances (LMI). Runs Lambda functions on EC2 instances in the user's account while AWS manages provisioning, patching, scaling, routing, and load balancing. Triggers when queries mention Lambda Managed Instances, LMI, capacity providers, multi-concurrent execution environments, EC2-backed Lambda, persistent Lambda instances, PerExecutionEnvironmentMaxConcurrency, CapacityProviderConfig, cold start elimination via dedicated instances, migrating standard Lambda to managed instances, or cost comparison between standard Lambda and LMI with Savings Plans or Reserved Instances.
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
Risk-return optimisation for investment portfolios via Longbridge — builds risk-adjusted return-optimal portfolios based on fund size, risk preference (conservative / balanced / aggressive), and investment horizon. Asset allocation across equities / bonds / cash / commodities / alternatives. Evaluates current portfolio efficiency versus the efficient frontier. Triggers: "风险收益优化", "组合效率", "有效前沿", "风险偏好配置", "最优组合", "风险调整收益", "大类资产配置", "投资组合优化", "風險收益優化", "組合效率", "有效前沿", "風險偏好配置", "最優組合", "risk-return optimization", "portfolio efficiency", "efficient frontier", "risk preference", "optimal portfolio", "risk-adjusted return", "asset class allocation", "portfolio optimisation", "mean variance".