Topic: llm
10,059 skills in this topic.
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scikit-survival
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
foryourhealth111-pixel/Vibe-Skills 1,415
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alphafold-database
Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
foryourhealth111-pixel/Vibe-Skills 1,415
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aios-master
AIOS Master Orchestrator & Framework Developer (Orion). Use when you need comprehensive expertise across all domains, framework component creation/modification, workflow orchest...
foryourhealth111-pixel/Vibe-Skills 1,415
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get-available-resources
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.
foryourhealth111-pixel/Vibe-Skills 1,415
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create-plan
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
foryourhealth111-pixel/Vibe-Skills 1,415
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pathml
Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.
foryourhealth111-pixel/Vibe-Skills 1,415
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scientific-data-preprocessing
⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.
foryourhealth111-pixel/Vibe-Skills 1,415
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speckit-tasks
Break down implementation plans into actionable task lists. Use after planning to create a structured task breakdown. Generates tasks.md with ordered, dependency-aware tasks.
foryourhealth111-pixel/Vibe-Skills 1,415
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figma-implement-design
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.
foryourhealth111-pixel/Vibe-Skills 1,415
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aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
foryourhealth111-pixel/Vibe-Skills 1,415
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benchling-integration
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
foryourhealth111-pixel/Vibe-Skills 1,415
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statsmodels
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
foryourhealth111-pixel/Vibe-Skills 1,415
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pufferlib
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
foryourhealth111-pixel/Vibe-Skills 1,415
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speckit-checklist
Generate custom quality checklists for validating requirements completeness and clarity. Use to create unit tests for English that ensure spec quality before implementation.
foryourhealth111-pixel/Vibe-Skills 1,415
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gene-database
Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.
foryourhealth111-pixel/Vibe-Skills 1,415
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cancel-ralph
Codex-compatible cancel command for Ralph loop state, preserving the original command name.
foryourhealth111-pixel/Vibe-Skills 1,415
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modal-labs
Modal Labs (modal.com) — run Python on serverless containers with GPUs, batch jobs, and autoscaling. Precision wrapper to avoid confusion with UI “modal dialogs”.
foryourhealth111-pixel/Vibe-Skills 1,415
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confusion-matrix-generator
Confusion Matrix Generator - Auto-activating skill for ML Training.
Triggers on: confusion matrix generator, confusion matrix generator
Part of the ML Training skill category.
foryourhealth111-pixel/Vibe-Skills 1,415
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build-error-resolver
Compatibility alias for build-specific error resolution. Use this when VCO routes to build-error-resolver but the upstream agent is unavailable in the current runtime.
foryourhealth111-pixel/Vibe-Skills 1,415
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bgpt-paper-search
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
foryourhealth111-pixel/Vibe-Skills 1,415
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speckit-taskstoissues
Convert tasks from tasks.md into GitHub issues. Use after task breakdown to track work items in GitHub project management.
foryourhealth111-pixel/Vibe-Skills 1,415
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similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
foryourhealth111-pixel/Vibe-Skills 1,415
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tdd-guide
Test-driven development wrapper for vibe coding flow. Enforces RED -> GREEN -> REFACTOR and >=80% coverage target.
foryourhealth111-pixel/Vibe-Skills 1,415
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denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
foryourhealth111-pixel/Vibe-Skills 1,415