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incident-triage
This skill automates the initial triage and coordination steps for production incidents. It classifies severity based on predefined criteria, assembles response teams, creates communication channels, and documents timelines. It provides clear escalation paths and structured outputs for different incident levels.
competitive-intel
This tool automates competitive intelligence gathering from websites, social media, and ad platforms. It identifies competitor moves, analyzes positioning shifts, and generates tactical recommendations like battle cards and gap analyses using structured templates and configurable alerts.
dbt-performance
Provides concrete guidance for optimizing dbt models on Snowflake, covering materialization choices, clustering keys, warehouse sizing, and SQL patterns. Includes specific code examples for common performance bottlenecks and troubleshooting steps.
kegg-database
This skill provides direct REST API access to the KEGG database for bioinformatics workflows. It wraps KEGG's HTTP endpoints into Python functions for pathway analysis, gene mapping, compound lookup, and ID conversion. The documentation clearly explains academic licensing requirements and includes practical examples for common operations like retrieving pathway details and converting gene identifiers.
Code Coverage with gcov
Add gcov code coverage instrumentation to C/C++ projects
prometheus-skill
This skill provides a structured 7-step process for diagnosing service issues using Prometheus metrics. It queries CPU, memory, load, and JVM heap metrics, then analyzes the results to identify potential problems. The instructions include specific PromQL queries and example outputs with interpretations.
data-export-pdf
This skill provides Python code templates for generating PDF reports using the reportlab library. It includes examples for adding text, tables, and embedded images, with specific applications for single-cell RNA-seq analysis reports. The documentation shows complete working examples with error handling tips.
snowflake-platform
Build on Snowflake's AI Data Cloud with snow CLI, Cortex AI (COMPLETE, SUMMARIZE, AI_FILTER), Native Apps, and Snowpark. Covers JWT auth, account identifiers, Marketplace publishing. Prevents 11 documented errors. Use when: Snowflake apps, Cortex AI SQL, Native App publishing. Troubleshoot: JWT auth failures, account locator confusion, memory leaks, AI throttling.
review
A code review skill that analyzes changes for quality, security, performance, and accessibility issues. It uses a quality gate system to prioritize review areas, integrates with LSP for impact analysis, and supports parallel execution of review tasks. Works with git diffs or specific files.
code-search-selector
A well-designed skill that enforces optimal tool selection for code search tasks, preventing inefficient grep usage when semantic search is available through claudemem.
specification-validation
A tool that validates software specifications and implementations against a '3 Cs' framework (Completeness, Consistency, Correctness). It checks spec documents, compares code to design, scans files for ambiguity, and validates developer understanding. It integrates with other MCP skills and can check for constitutional rule compliance.
moai-platform-neon
Provides specialized guidance for Neon serverless PostgreSQL, covering auto-scaling, database branching, PITR, and connection pooling. Includes concrete code examples for Vercel Edge Functions, Next.js App Router, and Drizzle ORM integration. Offers a complete branch manager class and migration workflows.
docs-ai-prd
This skill provides templates and guidance for creating product requirements and project context documentation optimized for AI coding assistants. It helps teams write PRDs, specs, and CLAUDE.md files that coding tools can execute effectively, reducing ambiguity in implementation work.
code-review
This skill provides a structured checklist for reviewing code across security, correctness, performance, and maintainability. It includes specific examples of vulnerabilities in Python and JavaScript, along with command-line tools for automated scanning. The output format organizes findings into critical issues, improvements, and positive notes.
labarchive-integration
This skill provides programmatic access to LabArchives electronic lab notebooks via REST API. It enables automation of notebook backups, entry creation, attachment management, and integration with research tools like Jupyter and REDCap. Includes Python scripts for common operations and detailed authentication guides.
torchdrug
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
omero-integration
This skill provides a Python-based interface to OMERO, a microscopy data management platform. It enables programmatic access to images, datasets, and metadata, supports ROI creation/analysis, batch processing, and integrates analysis results back into OMERO. It's essentially a wrapper and guide for the official omero-py library.
opentargets-database
Provides GraphQL API access to Open Targets Platform for querying target-disease associations, drug target data, tractability scores, and genetic evidence. Enables systematic therapeutic target identification with detailed evidence retrieval and known drug information.
deeptools
This skill provides a comprehensive interface to deepTools for NGS data analysis. It covers BAM to bigWig conversion, quality control metrics, sample correlation, and visualization workflows for ChIP-seq, RNA-seq, and ATAC-seq data. The documentation includes practical examples and genome size references.
property-based-testing
Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests.
fuzzing-obstacles
Techniques for patching code to overcome fuzzing obstacles. Use when checksums, global state, or other barriers block fuzzer progress.
triaging-module-requests
Automates GitHub issue triage for MultiQC module requests by calculating priority scores based on tool popularity, community engagement, and technical feasibility. Integrates with GitHub workflows to label issues, post analysis comments, and update project boards. Handles multiple operation modes including single analysis, batch processing, and dry runs.
doc-sync
Synchronizes docs across a repository. Use when user asks to sync docs.
codebase-analysis
This skill automates initial codebase exploration by running a Python script that analyzes repository structure, patterns, and context. It's designed as a foundation for deeper technical analysis rather than a standalone tool. The trigger is clear: activate when users need orientation in unfamiliar codebases.