Discover and use skill skills to extend Claude's capabilities
869 Skill Skills Available
Range bar evaluation metrics for quant trading. TRIGGERS - range bar metrics, Sharpe ratio, WFO metrics, PSR DSR MinTRL.
Semantic analysis of asciinema recordings. TRIGGERS - analyze cast, keyword extraction, find patterns in recordings.
Multi-agent performance profiling for pipeline bottlenecks. TRIGGERS - performance profiling, bottleneck analysis, pipeline optimization.
LaTeX tables with tabularray package. TRIGGERS - LaTeX table, tabularray, fixed-width columns, table alignment.
Fetch project statistics from SpecStory Cloud. Run when user says "get project stats", "show SpecStory stats", "project statistics", "how many sessions", or "SpecStory metrics".
Analyze your SpecStory AI coding sessions in .specstory/history for yak shaving - when your initial goal got derailed into rabbit holes. Run when user says "analyze my yak shaving", "check for rabbit holes", "how distracted was I", or "yak shave score".
Standard output format for due diligence analysis reports. Use when producing your final analysis to ensure consistency across all specialist agents.
Pattern recognition across your product decisions. Analyzes saved strategy sessions to surface themes, recurring risks, and suggested next steps.
You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
Comprehensive Jupyter notebook operations - create, execute, and analyze notebooks with full cell manipulation
Use when establishing measurement programs, analyzing metrics with statistical process control, setting baselines, or implementing CMMI Level 4 quantitative management - prevents vanity metrics and measurement theater
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.
Create beautiful infographics based on given text content. Use when users request to create infographics.
Fix markdown table alignment and spacing issues. Use when formatting tables in markdown files, aligning columns, normalizing cell padding, or ensuring proper table structure. Triggers: markdown table, md table, table formatting, column alignment, pipe table, GFM table, table generator, align columns, table spacing, table layout, fix table, format table, table structure.
Create a lightweight summary of experiment results from a completed (fine-tuned and evaluated) experiment. Use after run-experiment to capture key metrics from the experiment in textual form.
Turn your bookkeeper's export into actionable runway insights. Process month-end financials, compare actuals to projections, and generate variance analysis.
Estimates infrastructure needs based on traffic forecasts, workload analysis, and performance requirements with sizing recommendations and cost trade-offs. Use for "capacity planning", "infrastructure sizing", "resource estimation", or "scalability planning".
Master color management and visual styling with Colorcet. Use this skill when selecting appropriate colormaps, creating accessible and colorblind-friendly visualizations, applying consistent themes, or customizing plot aesthetics with perceptually uniform color palettes.
Create comprehensive social media analytics reports with insights and recommendations
Expert guide for analyzing application logs including log searching, pattern detection, error tracking, and debugging. Use when investigating issues, tracking errors, or understanding application behavior.
Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.
Run systematic growth experiments to increase acquisition, activation, retention, and revenue. Use when optimizing conversion funnels, running A/B tests, improving metrics, or when users mention growth, experimentation, optimization, or scaling user acquisition.
Analyze text sentiment (positive/negative/neutral) with confidence scores, emotion detection, and visualization. Supports single text, CSV batch, and trend analysis.
Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.
Calculate ROI for marketing campaigns, investments, and business decisions. Includes break-even analysis, payback period, and comparative ROI.
Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.
Analyze survey responses with Likert scale analysis, cross-tabulations, sentiment scoring, and frequency distributions with visualizations.
Decompose time series into trend, seasonal, and residual components. Use for forecasting, pattern analysis, and seasonality detection.
Analyze personal or business expenses from CSV/Excel. Categorize spending, identify trends, compare periods, and get savings recommendations.
Use when asked to visualize sales territories, coverage areas, service regions, or geographic boundaries on interactive maps.
Comprehensive plotting and visualization in Python - matplotlib (static publication-quality plots), seaborn (statistical visualization), and plotly (interactive plots); includes plot types, customization, best practices, and library selection guidance
Analyze incident logs, extract error patterns, identify root causes, generate insights and metrics. Use when user mentions logs, incidents, errors, failures, debugging, troubleshooting, log analysis, or investigating production issues.
Perform gene set enrichment analysis using AI research providers. Analyzes lists of genes to identify biological themes, pathways, and functional associations.
