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.
risk-manager
This skill provides structured frameworks for enterprise risk identification, quantification, and mitigation across financial, operational, and cybersecurity domains. It integrates multiple analytical tools including Python, R, and SQL for modeling, with checklists for compliance verification and risk reporting automation.
ai-rag
Provides concrete patterns for building RAG and search systems, covering chunking, hybrid retrieval, reranking, and evaluation. Includes decision trees, implementation checklists, and links to templates for production deployment. Focuses on separating retrieval quality from answer quality and treating staleness as a correctness issue.
Function Call Tracing
Instrument C/C++ with -finstrument-functions for execution tracing and Perfetto visualization
managing-git-workflow
This Skill provides standardized Git workflow guidance for HASH development teams. It enforces branch naming conventions linking to Linear tickets, defines PR creation templates, and offers detailed review procedures with specific CLI commands for gathering context.
slack-usage
This skill provides clear guidance for searching Slack messages and accessing channel history through MCP tools. It emphasizes using search over history for efficiency and includes practical API tips like rate limiting and message formatting. The documentation covers common workflows and token types.
bsl-model-builder
This skill helps build semantic data models using the Boring Semantic Layer (BSL). It defines dimensions and measures on Ibis tables, supports joins, and allows configuration via YAML. It's designed for creating reusable data models for analytics.
memory
Saves user-provided information to Claude OS knowledge bases for recall in future sessions. Uses trigger phrases like 'remember this' to store structured notes with titles, categories, and key points. Automatically categorizes content and confirms saves briefly.
sveltekit-remote-functions
Provides guidance for SvelteKit's experimental remote functions feature, explaining command(), query(), and form() patterns for server-side execution from client components. Includes practical examples, validation with Valibot/Zod, caching strategies, and comparison with traditional approaches.
svelte-deployment
This skill provides quick reference commands and configuration snippets for deploying SvelteKit applications. It covers adapters for static sites, Node.js, and Cloudflare, plus guidance on library authoring and PWA setup. It includes specific gotchas for Cloudflare deployment and version compatibility notes.
llm-models
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative
building-with-multi-cloud
This skill provides concrete guidance for deploying Kubernetes across six major cloud providers. It focuses on the key insight that only cluster provisioning differs between clouds, while application deployment remains identical. Includes cost comparisons, CLI commands, and decision frameworks for choosing providers based on budget and needs.
Database Implementation
Provides concrete guidance for database schema design and migrations using SQL, Flyway, and Exposed ORM. Includes validation commands, migration patterns, common blockers with solutions, and performance tips. Focuses on practical implementation with specific examples for table creation, foreign keys, and rollback strategies.
run-tests
This skill intelligently runs minimal test suites for code changes in the Datadog Python tracer project. It analyzes modified files, maps them to test suites via patterns, selects only necessary Python environments, and executes tests with Docker service management. It prevents running all tests unnecessarily, saving developer time during iteration.
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
pubmed-database
Provides direct REST API access to PubMed with detailed guidance on constructing Boolean/MeSH queries, using E-utilities API, and managing citations. Includes practical workflows for literature searches, systematic reviews, and programmatic data extraction with specific examples and troubleshooting advice.
ai-multimodal
Provides unified access to Google Gemini's multimodal API for processing audio, images, videos, and documents, plus image generation. Includes practical scripts for batch processing, media optimization, and document conversion. Clear guidance on model selection, token costs, and rate limits.
torch-geometric
Provides a comprehensive guide for using PyTorch Geometric for graph neural network tasks. Covers installation, data structures, model building, training workflows, and includes benchmark scripts for comparing GNN architectures on standard datasets.
Backend Models Standards
Define database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers. Use this skill when creating or modifying database model files, ORM classes, schema definitions, or data model relationships. Apply when working with model files (e.g., models.py, models/, ActiveRecord classes, Prisma schema, Sequelize models), defining table structures, setting up foreign keys and relationships, configuring cascade behaviors, implementing model validations, adding timestamps, or working with database constraints (NOT NULL, UNIQUE, foreign keys). Use for any task involving data integrity enforcement, relationship definitions, or model-level data validation.
hybrid-cloud-networking
Provides configuration guidance for connecting on-premises infrastructure to AWS, Azure, and GCP using VPN and dedicated connections. Includes Terraform examples, network patterns, routing setup, and security practices for hybrid cloud deployments.
compliance-architecture
Enterprise-grade compliance architecture for SOC 2, HIPAA, GDPR, PCI-DSS. Provides compliance checklists, security controls, audit guidance, and regulatory requirements for serverless and cloud architectures. Activates for compliance, HIPAA, SOC2, SOC 2, GDPR, PCI-DSS, PCI DSS, regulatory, healthcare data, payment card, data protection, audit, security standards, regulated industry, BAA, business associate agreement, DPIA, data protection impact assessment.
ios-simulator-skill
Provides 21 Python/bash scripts for iOS simulator automation, focusing on accessibility-based UI navigation instead of pixel coordinates. Includes screen mapping, gesture control, build testing, log monitoring, and accessibility audits. Outputs structured JSON for AI agents with minimal token usage.
literature-review
This skill provides structured workflows for conducting systematic literature reviews across multiple academic databases. It includes detailed search strategies, citation verification, and document generation with proper formatting. The documentation covers planning, execution, and quality control steps for biomedical and scientific domains.
typescript
This skill enforces TypeScript coding standards with specific rules for alphabetical ordering, BiomeJS tooling, dayjs usage, and type safety. It provides concrete examples for common patterns and clear triggers for when to apply the skill.
optimization-phase
Validates production readiness through performance benchmarking, accessibility audits, security reviews, and code quality checks. Use after implementation phase completes, before deployment, or when conducting quality gates for features. (project)