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pathml
PathML is a Python toolkit for computational pathology that handles 160+ slide formats, provides nucleus detection and tissue segmentation, builds spatial graphs for analysis, and supports training ML models like HoVer-Net. It includes specialized workflows for multiplex imaging data from CODEX and Vectra platforms.
esm
Provides access to ESM3 generative protein models and ESM C embedding models for protein sequence generation, structure prediction, inverse folding, and function annotation. Supports local model usage and cloud-based Forge API with clear examples for different workflows including chain-of-thought refinement and batch processing.
shap
Provides detailed guidance for using SHAP to explain machine learning model predictions. Covers explainer selection, visualization generation, and common workflows for debugging and analysis. Includes code examples for tree models, neural networks, and black-box approaches.
data-sourcing
Optimize provider selection, routing, and credit usage across 150+ enrichment sources for company/contact intelligence.
migrate-postgres-tables-to-hypertables
Provides step-by-step guidance for migrating PostgreSQL tables to TimescaleDB hypertables, covering configuration, validation, and troubleshooting. Includes SQL examples for partition selection, chunk sizing, constraint handling, and performance testing with clear success criteria.
workflow-management
This skill helps developers manage QStash-based workflows for data updates and social media posting. It provides concrete guidance on creating, debugging, and modifying workflows with specific code examples, directory structures, and troubleshooting steps for a particular API service architecture.
perplexity-search
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
moon-dev-trading-agents
Master Moon Dev's Ai Agents Github with 48+ specialized agents, multi-exchange support, LLM abstraction, and autonomous trading capabilities across crypto markets
preview-mode
This skill adds a preview step before applying AI-generated changes, showing users what will be created or modified. It provides live URLs when dev servers are running, ASCII art layouts otherwise, and handles different change types with appropriate confirmation flows.
create-skill
This skill provides a structured framework for creating new Claude skills within a personal AI infrastructure. It offers clear templates for simple and complex skills, defines naming conventions, and includes step-by-step guidance from initial concept to testing. The skill helps standardize skill development and ensures consistency across an AI assistant's capabilities.
swarm-orchestration
A sophisticated multi-agent orchestration skill with innovative topology patterns and comprehensive coordination features, though lacking concrete implementation details and security considerations.
ena-database
Provides programmatic access to the European Nucleotide Archive for retrieving DNA/RNA sequences, raw reads, and genome assemblies. Includes detailed API documentation, rate limiting guidance, and practical examples for genomics workflows. Covers multiple data formats and download methods.
model-usage
This skill extracts per-model cost data from CodexBar's local logs, providing summaries for Codex or Claude usage. It supports current model (most recent) or full breakdown modes with text or JSON output formats. The tool helps developers track LLM spending by model.
flow-nexus-neural
An ambitious tool for distributed neural network training with innovative features like divergent patterns and decentralized autonomous agents, but suffers from incomplete documentation and unclear security implementation.
orchestration-patterns
This skill provides a structured framework for managing long-running, multi-step AI agent tasks. It enforces evidence-based delivery with mandatory QAS review gates, clear escalation paths, and checkpoint patterns for state preservation. It's designed to prevent common agent workflow failures like skipping validation or losing context.
single-trajectory-analysis
This skill provides a detailed workflow for single-cell trajectory analysis using PAGA, Palantir, and VIA methods with RNA velocity integration. It offers specific parameter tuning guidance and troubleshooting tips for common issues in trajectory inference pipelines.
string-protein-interaction-analysis-with-omicverse
This skill enables Claude to query STRING database for protein-protein interactions, build network graphs with pyPPI, and generate styled visualizations for gene lists. It provides step-by-step instructions for species selection, metadata assignment, and troubleshooting common issues like API rate limits.
sql-pro
A specialized SQL development skill that provides expert guidance on query optimization, database design, and performance tuning across PostgreSQL, MySQL, SQL Server, and Oracle. It follows a structured workflow from schema analysis to implementation and verification, focusing on execution plans, indexing strategies, and maintaining data integrity.
ai-ml-timeseries
Provides operational workflows for time series forecasting with modern methods like LightGBM, Transformers, and Chronos. Includes decision trees for model selection, temporal validation patterns, and production deployment guidance. Focuses on preventing leakage and evaluating forecasts by horizon.
streamlit-development
This skill provides concrete patterns for building Streamlit apps that run both locally and on Snowflake. It covers session management, testing with pytest/Playwright, deployment commands, and Snowflake-specific limitations like unsupported UI components. Includes code examples for data separation, caching, and error handling.
dbt-testing
This skill teaches how to implement dbt testing strategies with database-level constraints using the dbt_constraints package. It provides specific YAML examples for primary keys, foreign keys, and unique constraints, plus guidance on test severity, failure storage, and layer-based testing approaches for bronze/silver/gold data models.
dbt-commands
dbt command-line operations, model selection syntax, Jinja patterns, troubleshooting, and debugging. Use this skill when running dbt commands, selecting specific models, debugging compilation errors, using Jinja macros, or troubleshooting dbt execution issues.
php-pro
Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.
memory
A memory management skill for Claude projects that handles SSOT file initialization, Plans.md merging with task preservation, and interactive workflow file migration. It maintains user data during updates, creates backups, and follows clear execution steps documented in referenced markdown files.