Discover and use skill skills to extend Claude's capabilities
869 Skill Skills Available
Mermaid diagrams following C4 Model and SpecWeave conventions - system architecture, sequence, ER, deployment diagrams. Use for architecture visualization.
Run regression analyses in Stata with publication-ready output tables.
Reasoning and planning framework. Defines task analysis, risk assessment, hypothesis forming. Applied automatically for complex requests.
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".
Use when validating ideas, sizing markets, building pitch decks, preparing for investors, modeling financials, planning launches, or creating board reports. Auto-activates on fundraising, pitch, investor, TAM/SAM/SOM, unit economics, runway, or board deck tasks.
Security report aggregation. USE WHEN annual reports, security reports, threat reports.
Guide for creating and working with marimo notebooks, the reactive Python notebook that stores as pure .py files. This skill should be used when creating, editing, running, or deploying marimo notebooks.
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
TAM/SAM/SOM calculation, competitor analysis, and market trends identification. Use when analyzing markets, validating business ideas, or entering new markets.
Formats markdown tables with fixed-width columns for consistent alignment. Use when creating tables, reformatting existing tables, or ensuring table readability. Triggers on terms like "format table", "align table", "fix table", "table columns", "markdown table".
Jobs to Be Done analysis to understand what customers really want. Use for product discovery, competitive analysis, or understanding why customers hire/fire solutions.
SWOT strategic analysis examining Strengths, Weaknesses, Opportunities, and Threats. Use for strategic planning, competitive analysis, career decisions, or evaluating opportunities.
Expert knowledge synthesizer specializing in extracting insights from multi-agent interactions, identifying patterns, and building collective intelligence. Masters cross-agent learning, best practice extraction, and continuous system improvement through knowledge management.
Create or improve AI productivity tips and guides for the Abacus dashboard. Use when writing new tips, editing existing tips, or reviewing tip content for quality. Ensures tips follow the established format with scenarios, prompts, and proper structure.
生成可读性报告。当用户请求为项目源代码生成可读性报告时，使用此功能。输出名为 readability-report.html 的单页 HTML 文件作为可读性报告，该报告集成了 Node.js 脚本和 HTML 模板。
ExecPlan expert - Helps create and maintain execution plans following PLANS.md guidelines. Automatically activates for complex features or significant refactors.
Guide for BlazeMeter Usage & Billing, including credit types and charging. Use when working with usage and billing for (1) Understanding BlazeMeter credit types (VU, VUH, Tests), (2) Calculating credit consumption for different test types, or any other usage and billing tasks.
Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis
Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detection
Visualization blueprint for revenue KPIs, guardrails, and action callouts.
Use to visualize churn, expansion, and health metrics across cohorts.
Use to craft concise revenue updates for executives and boards.
Best-practice kit for BI dashboard layout, storytelling, and adoption.
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
Assemble 2-3 complementary experts to collaboratively analyze anything. Experts work together to explore topics from multiple expert angles.
Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.
Monitor injury news across leagues. Fantasy impact analysis, backup player analysis, return timeline estimates.
