Find the best CLAUDE.md, AGENTS.md and Claude skills

AnthropicSkill

scvi-tools

anthropics/knowledge-work-plugins/bio-research/skills/scvi-tools/SKILL.md

Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.

AnthropicSkill

single-cell-rna-qc

anthropics/knowledge-work-plugins/bio-research/skills/single-cell-rna-qc/SKILL.md

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.

AnthropicSkill

start

anthropics/knowledge-work-plugins/bio-research/skills/start/SKILL.md

Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

Often used withsetup-engine·create-stories·team-audio

AnthropicSkill

cowork-plugin-customizer

anthropics/knowledge-work-plugins/cowork-plugin-management/skills/cowork-plugin-customizer/SKILL.md

Customize a Claude Code plugin for a specific organization's tools and workflows. Use when: customize plugin, set up plugin, configure plugin, tailor plugin, adjust plugin settings, customize plugin connectors, customize plugin skill, tweak plugin, modify plugin configuration.

AnthropicSkill

create-cowork-plugin

anthropics/knowledge-work-plugins/cowork-plugin-management/skills/create-cowork-plugin/SKILL.md

Guide users through creating a new plugin from scratch in a cowork session. Use when users want to create a plugin, build a plugin, make a new plugin, develop a plugin, scaffold a plugin, start a plugin from scratch, or design a plugin. This skill requires Cowork mode with access to the outputs directory for delivering the final .plugin file.

AnthropicSkill

customer-escalation

anthropics/knowledge-work-plugins/customer-support/skills/customer-escalation/SKILL.md

Package an escalation for engineering, product, or leadership with full context. Use when a bug needs engineering attention beyond normal support, multiple customers report the same issue, a customer is threatening to churn, or an issue has sat unresolved past its SLA.

AnthropicSkill

customer-research

anthropics/knowledge-work-plugins/customer-support/skills/customer-research/SKILL.md

Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.

Often used withpopups·marketing-council·community-marketing

AnthropicSkill

draft-response

anthropics/knowledge-work-plugins/customer-support/skills/draft-response/SKILL.md

Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.

AnthropicSkill

kb-article

anthropics/knowledge-work-plugins/customer-support/skills/kb-article/SKILL.md

Draft a knowledge base article from a resolved issue or common question. Use when a ticket resolution is worth documenting for self-service, the same question keeps coming up, a workaround needs to be published, or a known issue should be communicated to customers.

AnthropicSkill

ticket-triage

anthropics/knowledge-work-plugins/customer-support/skills/ticket-triage/SKILL.md

Triage and prioritize a support ticket or customer issue. Use when a new ticket comes in and needs categorization, assigning P1-P4 priority, deciding which team should handle it, or checking whether it's a duplicate or known issue before routing.

AnthropicSkill

analyze

anthropics/knowledge-work-plugins/data/skills/analyze/SKILL.md

Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.

AnthropicSkill

build-dashboard

anthropics/knowledge-work-plugins/data/skills/build-dashboard/SKILL.md

Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.

AnthropicSkill

create-viz

anthropics/knowledge-work-plugins/data/skills/create-viz/SKILL.md

Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.

AnthropicSkill

data-context-extractor

anthropics/knowledge-work-plugins/data/skills/data-context-extractor/SKILL.md

Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts.

AnthropicSkill

data-visualization

anthropics/knowledge-work-plugins/data/skills/data-visualization/SKILL.md

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

AnthropicSkill

explore-data

anthropics/knowledge-work-plugins/data/skills/explore-data/SKILL.md

Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.

AnthropicSkill

sql-queries

anthropics/knowledge-work-plugins/data/skills/sql-queries/SKILL.md

Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.

Often used withbrainstorm-experiments-new·pestle-analysis·positioning-ideas

AnthropicSkill

statistical-analysis

anthropics/knowledge-work-plugins/data/skills/statistical-analysis/SKILL.md

Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.

AnthropicSkill

validate-data

anthropics/knowledge-work-plugins/data/skills/validate-data/SKILL.md

QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.

AnthropicSkill

write-query

anthropics/knowledge-work-plugins/data/skills/write-query/SKILL.md

Write optimized SQL for your dialect with best practices. Use when translating a natural-language data need into SQL, building a multi-CTE query with joins and aggregations, optimizing a query against a large partitioned table, or getting dialect-specific syntax for Snowflake, BigQuery, Postgres, etc.