Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Integrates multi-provider AI image generation capabilities into Next.js applications using Replicate and fal.ai.
Automates the ingestion of external REST API data into a RAG-powered vector database for enhanced AI context.
Orchestrates specialized AI sub-agents to solve complex engineering problems through parallel task delegation.
Converts text into high-quality audio files using the ElevenLabs API with customizable voice parameters and presets.
Designs and implements sophisticated multi-agent workflows using modular orchestration patterns, hierarchical delegation, and deterministic tool coordination.
Integrates multi-provider AI video generation capabilities into Next.js applications using Replicate and fal.ai.
Drafts publication-ready sociology Results sections by integrating quantitative and qualitative evidence using structures from top-tier academic journals.
Integrates Google's Gemini API suite into Claude Code for multimodal analysis, image generation, and real-time search grounding.
Delegates high-context tasks and complex vision analysis from Claude to Gemini for optimized multi-model development workflows.
Generates high-performance text embeddings via the Google Gemini API for semantic search, RAG, and data classification tasks.
Provides a persistent cognitive architecture for AI agents to maintain long-term memory, context, and identity across multiple sessions.
Conducts systematic computational text analysis for sociology research using R or Python with a focus on validation and reproducibility.
Conducts rigorous, publication-ready statistical analysis in Stata for sociology and social science research.
Conducts publication-ready quantitative sociological research using phased R workflows and rigorous econometric methods.
Powers semantic search and contextual retrieval across local libraries of academic papers and markdown documents.
Orchestrates external AI models like Grok, Gemini, and GPT-5 within Claude Code using deterministic Bash commands and the claudish CLI.
Facilitates seamless interaction with the Gemini CLI to leverage Google Gemini models directly within the Claude Code environment.
Transcribes audio and video files using OpenAI Whisper with support for multiple formats, speaker diarization, and timing synchronization.
Optimizes and designs high-performance LLM prompts using advanced techniques like chain-of-thought and few-shot learning.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search infrastructure.
Optimizes machine learning ensembles by analyzing and enhancing model diversity across different algorithmic families and feature sets.
Automates financial budget-vs-actual variance analysis with professional reporting, automated commentary, and executive summaries.
Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.
Synthesizes machine learning experiment results into actionable insights and strategic project theories to guide future development.
Architects and validates specialized Claude sub-agents with precise role boundaries and tool permissions.
Facilitates human-in-the-loop judgment of AI trace outputs and promotes high-quality results back into evaluation datasets.
Automates the deployment of live AI model evaluations using pre-built Truesight templates for rapid performance scoring and testing.
Builds type-safe, modular LLM applications in Ruby using programmatic prompt signatures and automated optimization techniques.
Retrieves comprehensive scientific paper metadata, abstracts, and publication details directly from arXiv using specific paper IDs.
Standardizes the initialization and scoping of machine learning projects to ensure data-driven decisions and optimal model performance.
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