claude-code-skill
Control Claude Code via MCP protocol for autonomous development. Features persistent sessions, agent teams, precise execution planning, and advanced tool management for complex coding tasks.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
180 skills found
Control Claude Code via MCP protocol for autonomous development. Features persistent sessions, agent teams, precise execution planning, and advanced tool management for complex coding tasks.
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
Syntax and construction guide for HashQL J-Expr queries, supporting #literal, #struct, #list, and function call patterns for HashQL files.
Holistic, multi-dimensional code review skill providing prioritized, actionable feedback on correctness, security, performance, design, and accessibility.
An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.
Automated single-cell RNA-seq quality control pipeline following scverse best practices. Performs MAD-based outlier detection, cell filtering, and diagnostic visualization for .h5ad and .h5 datasets.
Reference for all MCP tools exposed by the CCOS server, enabling capability discovery, session management, and governed RTFS execution for autonomous agent workflows.
Interactive Python graphing library for 40+ chart types, scientific visualizations, statistical analysis, and web dashboards using Plotly Express and Graph Objects.
Conduct automated code reviews for local changes or remote GitHub Pull Requests. It analyzes code for correctness, maintainability, and standards using git and gh CLI integration.
Genomic file toolkit for NGS data processing. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences using Pysam with a Pythonic interface to htslib.
A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.
Implement robust backend error handling with custom classes, middleware, structured logging, and recovery patterns.