ReddRadar
Topic: claude-skills
11,948 skills in this topic.
-
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
Microck/ordinary-claude-skills 152
-
run-tests
Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions. Automatically discovers affected test suites, selects the minimal set of venvs needed for validation, and handles test execution with Docker services as needed.
Microck/ordinary-claude-skills 152
-
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Microck/ordinary-claude-skills 152
-
AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Microck/ordinary-claude-skills 152
-
pyhealth
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Microck/ordinary-claude-skills 152
-
skill-navigator
The 100th skill! Your intelligent guide to all 99 other skills. Recommends the perfect skill for any task, creates skill combinations, and helps you discover capabilities you didn't know you had.
Microck/ordinary-claude-skills 152
-
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
a5c-ai/babysitter 514
-
langgraph-checkpoint
LangGraph checkpoint and persistence configuration for stateful workflow management
a5c-ai/babysitter 514
-
langfuse-integration
LangFuse LLM observability integration for tracing, analytics, and cost tracking
a5c-ai/babysitter 514
-
langchain-tools
LangChain tool creation and integration utilities for agent systems
a5c-ai/babysitter 514
-
langchain-retriever
LangChain retriever implementation with various retrieval strategies for RAG applications
a5c-ai/babysitter 514
-
langchain-react-agent
LangChain ReAct agent implementation with tool binding for reasoning and action loops
a5c-ai/babysitter 514
-
langchain-memory
LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
a5c-ai/babysitter 514
-
langchain-chains
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
a5c-ai/babysitter 514
-
huggingface-classifier
Hugging Face transformer model fine-tuning and inference for intent classification
a5c-ai/babysitter 514
-
haystack-pipeline
Haystack NLP pipeline configuration for document processing and QA
a5c-ai/babysitter 514
-
guardrails-ai-setup
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
a5c-ai/babysitter 514
-
few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance
a5c-ai/babysitter 514
-
entity-memory-extraction
Entity and fact extraction for user profiling and personalization
a5c-ai/babysitter 514
-
crewai-setup
CrewAI multi-agent orchestration setup for collaborative AI systems
a5c-ai/babysitter 514
-
content-moderation-api
Content moderation API integration using OpenAI Moderation, Perspective API, and others
a5c-ai/babysitter 514
-
constitutional-ai-prompts
Constitutional AI and safety guardrail prompts for aligned LLM behavior
a5c-ai/babysitter 514
-
chroma-integration
Chroma local vector database setup and operations for development and production
a5c-ai/babysitter 514
-
chain-of-thought-prompts
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
a5c-ai/babysitter 514