Explore our collection of Agent Skills to enhance your AI workflow.
Processes and analyzes mass spectrometry data using Python-based spectral similarity and metadata harmonization.
Simplifies molecular cheminformatics workflows by providing a Pythonic interface for RDKit with sensible defaults and parallel processing.
Streamlines isolated feature development by creating and configuring Git worktrees with automated safety checks and environment setup.
Queries the Ensembl REST API to retrieve genomic annotations, sequences, variants, and comparative genomics data for over 250 species.
Automates bookkeeping by extracting data from invoices and receipts to rename, sort, and organize them into tax-ready filing systems.
Analyzes and visualizes high-throughput sequencing data for genomics research and quality control.
Automates versioning across multiple package files, changelogs, and documentation for seamless release management.
Generates sophisticated algorithmic art and interactive p5.js sketches based on unique computational philosophies and emergent behaviors.
Streamlines genomics data analysis and pipeline development on the DNAnexus cloud platform using the dxpy SDK and CLI tools.
Optimizes web fuzzing and security reconnaissance using FFUF for directory discovery and authenticated API testing.
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival Python library.
Enforces a rigorous verification workflow requiring empirical evidence before any task is marked as complete or successful.
Analyzes codebase history and decision records to understand architectural evolution and prevent repeating past failures.
Cleans AI-generated artifacts, simplifies documentation, and fixes unicode formatting to make code appear professionally hand-written.
Accesses the Human Metabolome Database to retrieve detailed chemical, clinical, and biological data for over 220,000 metabolites.
Reduces token consumption and improves LLM instruction quality through automated text compression and structural optimization.
Automates the synchronization and organization of project-specific rules, best practices, and anti-patterns within Claude Code.
Optimizes documentation and prompts for maximum LLM token efficiency and improved instruction following.
Conducts comprehensive code reviews against project standards, identifying duplicates and ensuring compliance with custom rules.
Generates structured, multi-phase execution plans with automated quorum reviews for complex software development tasks.
Orchestrates complex development tasks with infinite context management and automated sub-agent handoff.
Sets up the Brewcode development environment by installing essential prerequisites and semantic search capabilities.
Enables high-performance semantic search for local codebases using Ollama and vector embeddings.
Generates comprehensive technical specifications and architectural plans through automated codebase research and interactive user clarification.
Analyzes project architecture and tech stacks to initialize customized development templates and AI agent configurations.
Scans git-tracked files for leaked credentials and hardcoded secrets to ensure repository security.
Optimizes MCP tool architectures using the consolidation principle to maximize AI agent success rates and minimize cognitive load.
Standardizes the design and implementation of command-line interfaces using industry best practices and automated compliance audits.
Automates workflows and enforces safety policies by creating event-driven hooks for Claude Code operations.
Performs threat-aware code audits and vulnerability assessments using industry-standard frameworks like OWASP and STRIDE.
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