Marketplace
SkillHub Club catalog feed.
Public marketplace mirror sourced from skillhub.club. This source view keeps the new outcome-first browsing model while filtering server-side to a single upstream feed.
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.
maintenance
Automatically cleans and organizes project files like Plans.md and session logs based on configurable thresholds. Uses LLM evaluation to suggest cleanups and moves old tasks to archives. Helps prevent file bloat in development workflows.
ai-rag-pipeline
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
building-with-envoy-gateway
This skill provides detailed guidance for implementing Envoy Gateway in Kubernetes, covering Gateway API, traffic policies, rate limiting, TLS, and AI-specific routing with Envoy AI Gateway. It includes concrete YAML examples, decision tables, and architecture diagrams for production deployments.
typescript-review
Review TypeScript and JavaScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing TypeScript/JavaScript code.
analyzing-financial-statements
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
pyopenms
PyOpenMS provides Python bindings to OpenMS for mass spectrometry data analysis. It handles LC-MS/MS proteomics and metabolomics workflows including file I/O for formats like mzML and mzXML, signal processing, feature detection, peptide identification, and quantitative analysis. The documentation includes clear examples for common tasks.
gtm-planning
This skill generates structured go-to-market plans with clear phases for strategy, channel selection, tactics, timeline, and budget. It enforces prerequisites like positioning completion and includes blocker criteria to prevent premature planning. The output is a detailed markdown document ready for stakeholder review.
creating-cursor-rules-skill
Provides detailed guidance for creating effective Cursor IDE rule files. Covers rule anatomy, organization strategies, and best practices with concrete examples. Helps teams document project-specific conventions for AI assistants to follow.
project-awareness
A comprehensive project context awareness skill that provides detailed project state detection, AIWG framework integration, and actionable recommendations for development teams.
skill-enhancer
This skill automatically improves SKILL.md files by extracting examples from reference documentation, adding quick references and FAQs. It provides multiple enhancement modes including local Claude Code, API-based, and manual templates with backup and validation workflows.
devflow-file-standards
Defines file naming, directory structure, and YAML frontmatter conventions for a multi-agent development workflow. It standardizes IDs, paths, and status tracking across 13 agents, ensuring consistency without duplicating agent-specific content rules. The skill acts as a central reference for format standards.