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skill-developer
Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.
treatment-plans
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
geniml
A Python package for applying machine learning to genomic interval data from BED files. It provides tools for learning embeddings of genomic regions (Region2Vec), single cells (scEmbed), and metadata (BEDspace), building consensus peaks, and enabling similarity search. It integrates with common bioinformatics workflows like scanpy for scATAC-seq analysis.
latchbio-integration
Provides guidance for building and deploying bioinformatics workflows on the Latch platform. Covers workflow creation with Python decorators, cloud data management using LatchFile/LatchDir, resource configuration for tasks, and integration of existing Nextflow/Snakemake pipelines. Includes practical examples for RNA-seq analysis and GPU-accelerated workflows.
sequential-thinking
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
nanobanana-skill
This skill provides image generation and editing capabilities using Google's Gemini API through a Python wrapper. It supports multiple aspect ratios, resolution options, and two Gemini models. The documentation clearly explains setup requirements, usage patterns, and includes practical examples for different scenarios.
error-handling
A comprehensive error handling framework for AI assistants that prioritizes user experience by auto-fixing common errors silently and translating technical issues into actionable guidance.
session-recovery
A well-designed skill for maintaining AI assistant context across sessions and IDEs, enabling seamless project continuation with comprehensive memory management and smart summarization.
rails-upgrade-assistant
This skill automates Rails application upgrades from versions 7.0 to 8.1.1. It generates a detection script to find breaking changes in your codebase, then creates detailed upgrade reports based on actual findings. The process saves significant manual effort by providing file:line references and step-by-step migration guides.
cpp-pro
Comprehensive C++ expert skill with extensive coverage of modern C++20/23 features, performance optimization techniques, and systems programming patterns. Well-structured workflow with clear development phases and integration capabilities.
openhue
This skill provides Claude access to the OpenHue CLI for controlling Philips Hue lights and scenes. It enables basic light operations (on/off, brightness, color), scene activation, and status queries through simple command patterns. The skill wraps an existing CLI tool rather than creating new functionality.
tcga-bulk-data-preprocessing-with-omicverse
This skill guides users through preprocessing TCGA bulk RNA-seq data using the omicverse Python package. It provides step-by-step instructions for loading sample sheets, expression archives, and clinical data, then performing survival analysis and exporting annotated AnnData files for downstream analysis.
prompt-engineer
A structured Python script that automates prompt optimization through a 6-step workflow. It starts with triage to determine scope (single prompt, ecosystem, greenfield, or problem), then executes specific optimization steps. The skill enforces immediate execution without analysis paralysis.
spring-ai-mcp-server-patterns
Comprehensive implementation guide for building MCP servers with Spring AI, offering enterprise-grade patterns, clear examples, and production-ready configurations for Java developers.
unit-test-caching
Provides unit testing patterns for Spring caching annotations (@Cacheable, @CacheEvict, @CachePut) without requiring full Spring context or external cache infrastructure. Shows how to verify cache hits/misses, invalidation, conditional caching, and key generation using in-memory CacheManager and Mockito.
dev-feedback-loop
A system that tracks development cycle effectiveness by calculating assertiveness scores, analyzing prompt quality, aggregating metrics, performing root cause analysis on failures, and generating improvement reports. Enforces mandatory TodoWrite tracking and provides detailed pattern analysis across development gates.
ops-platform-onboarding
A highly structured and comprehensive workflow for onboarding services to an internal developer platform, covering infrastructure, observability, security, and documentation with clear templates.
ops-incident-response
Provides a structured, phase-based workflow for handling production incidents from detection to post-mortem. Includes severity classification, role assignments, communication templates, and checklists. Integrates with an incident-responder agent for complex cases and offers anti-rationalization guidance.
using-pmm-team
Provides structured workflows for product marketing tasks with 7 specialized skills and 6 agent roles. Guides users through market analysis, positioning, messaging, GTM planning, and launch coordination with clear triggers and blocker criteria. Integrates with other Ring team plugins for complete product development lifecycle.
compound-learnings
Analyzes session learnings to identify recurring patterns across 3+ sessions, then proposes converting them into rules, skills, or hooks. Requires explicit user approval before creating any artifacts. Helps teams systematically capture and institutionalize successful practices from daily work.
voice-blend
A sophisticated voice blending tool that enables weighted combination of multiple writing style profiles with clear algorithms for tone, vocabulary, and structure interpolation.
analyzing-aorc-precipitation
This skill provides tools for retrieving AORC historical precipitation data and generating Atlas 14 design storms for HEC-RAS/HMS models. It handles spatial averaging over watersheds, temporal aggregation, DSS export, and SCS temporal distributions. The documentation clearly directs users to authoritative sources with complete workflows.
extracting-hecras-results
A well-structured documentation skill that effectively guides users to comprehensive HEC-RAS result extraction resources, providing clear navigation to authoritative sources and practical workflows.
electron-pro
Provides a structured workflow for building secure Electron desktop apps across Windows, macOS, and Linux. Focuses on security best practices, native OS integration, performance targets, and distribution. Includes specific checklists for architecture, implementation, and packaging with defined communication protocols.