Anthropic Skills
2689 skills. Last updated 2026-03-17
Discover and use Anthropic Skills to extend Claude's capabilities with creative, technical, and enterprise workflows.
QC and sequencing statistics workflows using biometal primitives. Trigger when performing quality control, calculating sequencing statistics, generating QC reports, assessing data quality, or evaluating run metrics. All primitives exist - 100% coverage.
Aggregate meeting analytics and statistics. Use when analyzing meeting patterns, speaker time, or trends.
Generates detailed reports and analysis from coaching sessions. Use when analyzing coaching session files, tracking coachee progress, extracting insights from coaching notes, or creating structured reports for coaching development plans.
Compile comprehensive human-readable daily report with all analysis and recommendations
Define analysis steps and procedures. Use when user mentions static analysis, dynamic step, frequency analysis, heat transfer step, or asks about analysis type, time increments, or nlgeom.
Use this skill when users need help with business finances, tax planning, bookkeeping, profit/loss analysis, cash flow management, or multi-business financial tracking. Activates for "am I profitable," tax questions, accounting setup, or financial health checks.
Generate high-quality illustration/chart ideas for a URL, including placement + layout suggestions (HTML-like or Mermaid).
Automated data cleaning and preprocessing for MCM/ICM competitions. Use when loading raw CSV/Excel data that needs missing value handling, outlier detection, normalization, and quality reporting. Produces clean datasets and statistical summaries ready for modeling.
Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, exploring data, creating visualizations, or when users mention data analysis, statistics, charts, or datasets.
Product strategist for scoring and ranking feature ideas using RICE/ICE prioritization frameworks, connecting features to business KPIs (retention, growth, revenue), and identifying quick wins vs strategic bets. Use when evaluating product features, prioritizing roadmap items, analyzing feature requests, or making product investment decisions.
Calculate objective mastery rates, analyze performance distributions, identify achievement gaps, and generate learning analytics dashboards. Use when analyzing assessment data, measuring outcomes, or generating reports. Activates on "analyze results", "learning analytics", "performance data", or "outcome measurement".
Use this skill when users need to optimize lead generation channels, identify highest-ROI marketing activities, stop wasting time on low-performing channels, or systematize customer acquisition. Activates for lead gen strategy, marketing channel analysis, or "where should I focus" questions.
Create or update interactive charts for car registration and COE data visualization. Use when adding new chart types, fixing chart bugs, or implementing data visualizations.
Multidisciplinary analytical engine using Charlie Munger's latticework of mental models. Applies cross-disciplinary thinking (math, physics, biology, psychology, economics) to dissect life and business decisions. Use when user presents a decision problem, investment question, or complex analysis request requiring deep rational analysis.
Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance best practices. Use when: segment, analytics.js, customer data platform, cdp, tracking plan.
Professional LaTeX figure and table positioning. Handle float placement, subfigure/subtable layouts, side-by-side arrangements, and cross-column figures. Does NOT adjust sizes, widths, or scaling.
Generate draw.io editable diagrams (.drawio, .drawio.svg) from text, images, or Excel. Orchestrates 3-agent workflow (Analysis → Manifest → SVG generation) with quality gates. Use when creating architecture diagrams, flowcharts, sequence diagrams, or converting existing images to editable format. Supports Azure/AWS cloud icons.
Automatically analyze performance issues when user mentions slow pages, performance problems, or optimization needs. Performs focused performance checks on specific code, queries, or components. Invoke when user says "this is slow", "performance issue", "optimize", or asks about speed.
Analyzes CSV files, generates comprehensive summary statistics, identifies data patterns, and creates visualizations using Python and pandas. Automatically adapts analysis based on data type (sales, customer, financial, survey, operational).
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Analyzes Axiom query patterns to find unused data, then builds dashboards and monitors for cost optimization. Use when asked to reduce Axiom costs, find unused columns or field values, identify data waste, or track ingest spend.
Professional retrospective coach based on the GRAI model (Goal-Result-Analysis-Insight) to guide users through structured retrospectives. Transform experiences into lessons, and lessons into capabilities. Use when: (1) Systematic review needed after project/event completion, (2) Learning from failures, (3) Summarizing and replicating success experiences, (4) Creating improvement action plans.
Expert product discovery guidance for user research and problem validation. Use when conducting user interviews, validating problems, applying jobs-to-be-done framework, sizing opportunities, customer segmentation, competitive analysis, prototype testing, usability testing, designing surveys, or synthesizing research insights. Covers discovery sprints, continuous discovery, and research operations.
Comprehensive UX research assistant that analyzes user feedback from surveys, reviews, and interviews to identify trends, cluster themes, surface friction points, and generate actionable product roadmaps. Use when analyzing user feedback, conducting UX research, evaluating product performance, prioritizing features, or transforming qualitative/quantitative feedback into strategic insights.
Run analytical queries on 3Lens data to find performance hotspots, resource leaks, shader variants, and resource usage. Use when analyzing performance issues, finding memory leaks, or understanding resource consumption.
Create a GEO (LLM visibility) tracking report using Bright Data datasets (mandatory) and output an HTML report with actions.
Idiomatic pandas usage patterns and performance best practices. Use when writing or reviewing pandas code to ensure: (1) Modern API usage (loc/iloc, method chaining, pipe), (2) Performance optimization (vectorization, dtypes, avoiding apply), (3) Proper data reshaping (tidy data, melt/pivot), (4) Correct handling of Copy-on-Write, categoricals, time series, (5) Avoiding common gotchas and antipatterns.
Diagnose performance issues and investigate sudden changes in Ada AI agent metrics. Use when the user notices a drop in CSAT or AR, asks "why did X happen", wants to investigate a specific problem, or needs to understand root causes of performance changes.
Generate and work with Mermaid diagrams for documenting system architecture, user flows, processes, and technical concepts across all types of projects. Use this skill when creating visual representations of code structures, workflows, API interactions, system designs, or business processes in any technology stack or domain.
Load data from files (CSV, JSON, JSONL, Parquet) or stdin for analysis and visualization with ggterm. Use when reading datasets, importing data, opening files, or when the user mentions loading, reading, or opening data.
Customize plot aesthetics using natural language. Use when the user wants to change colors, fonts, titles, labels, themes, or any visual aspect of a plot before publication.
Export terminal plots to publication-quality formats (PNG, SVG, PDF, HTML). Use when the user wants to save, export, publish, or create a high-quality version of a plot.
Use when working with Laminar's SQL Query API (/v1/sql/query): design SELECT-only ClickHouse queries, use parameters, authenticate with project API keys, and interpret response data from spans, traces, events, tags, datasets, and evaluations.
Benchmarking skill for comparing multiple implementations. Creates comprehensive performance comparisons with proper methodology. Use when asked to benchmark or compare performance of different approaches.
Use RSPress built-in components and MDX features in documentation. Use when adding interactive elements like tabs, badges, steps, callouts, or code groups to documentation pages.
Use when editing docs/index.html, creating charts with Plot, adding SQL cells, loading data with FileAttachment, or building visualizations. Triggers on any editing of docs/index.html, Observable notebooks, or front-end visualization work.
