Plugins
12 plugins@nivkazdan
Data Analysis
Data Analysis from nivkazdan/skills-agents-catalog.
6 skills · plugin
@trailofbits
Static Analysis
Static analysis toolkit with CodeQL, Semgrep, and SARIF parsing for security vulnerability detection
3 skills · plugin
@phuryn
Market Research
Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.
7 skills · plugin
curated
Run Competitive Analysis
Run a competitive analysis by researching competitors, analyzing their strategies, and producing actionable insights.
6 skills · plugin
@dotnet
Dotnet Diag
Skills for .NET performance investigations, debugging, and incident analysis.
7 skills · plugin
curated
C/C++ Debugging
For C/C++ developers needing debugging tools, memory analysis, and GDB integration.
8 skills · plugin
curated
Threat Intelligence Analysis
For threat analysts correlating IOCs, building campaign graphs, and producing intelligence reports.
9 skills · plugin
curated
Run Agent Evaluation
Sets up evaluation framework, runs benchmarks, and produces comparative analysis of agent performance.
9 skills · plugin
curated
PR Review Pipeline
Install this pack to review a PR with structured analysis, security scanning, and quality enforcement.
11 skills · plugin
curated
Product Strategy Pipeline
From market analysis to north star metric, this pack builds a complete product strategy foundation.
4 skills · plugin
@owl-listener
UX Strategy
UX strategy skills: information architecture, content strategy, navigation patterns, user flows, task analysis, and competitive UX audits.
12 skills · plugin
curated
Sprint Planning Pack
For scrum masters and PMs planning sprints: plan sprint, run retro, and facilitate pre-mortem risk analysis.
9 skills · plugin
Results for “analysis”
27 skills
neuralblitz Cae
Performs finite element analysis, computational fluid dynamics, thermal analysis, modal analysis, and design optimization for validating designs against physical loads and predicting product behavior.
1
nvidia Tao Analyze Changenet Rca
Performs deep root cause analysis on NVIDIA TAO Visual ChangeNet classification experiments, using image-evidence-driven investigation to diagnose model failures and produce actionable reports.
2.2k · bundle
k-dense-ai Statsmodels
Fit statistical models (OLS, GLM, ARIMA, mixed models) with detailed diagnostics, residuals, and inference for econometrics and time series analysis.
30.2k · bundle
lingxling Gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
253 · bundle
nvidia Tao Analyze Gaps Vlm Bcq
Extract false-positive and false-negative gaps from VLM binary-classification-question predictions by comparing model responses against ground truth, producing a structured JSONL file and summary report for downstream root-cause analysis.
2.2k · bundle
samyakjhaveri Overnight Eval
Launches long-running evaluation batches in isolated tmux sessions with pre-flight verification, monitoring, and post-flight analysis for unattended runs.
0
More results
lingxling Shap
Explains machine learning model predictions using SHAP values, covering feature importance, visualizations, debugging, bias analysis, and production deployment.
253 · bundle
samyakjhaveri Eval Run
Launches a model evaluation batch with parameter collection, pre-flight checks, execution, and post-run analysis for interactive or foreground runs.
0
diegosouzapw Jax
Provides guidance on using JAX for machine learning and mathematical analysis, covering core concepts, transformations, ML specifics, control flow, and parallelism.
54 · bundle
phoroth Doc2math
Formalizes narrative technical documents into structured mathematical problem specifications with variables, constraints, objectives, and uncertainty, citing evidence and flagging missing information.
3
qhjqhj00 Shap
Explains machine learning model predictions using SHAP values, covering feature importance, visualization plots, model debugging, bias analysis, and production deployment.
3 · bundle
k-dense-ai Neuropixels Analysis
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface, covering loading, preprocessing, drift correction, spike sorting, quality metrics, and unit curation.
30.2k · bundle
lingxling Geniml
Trains machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.
253 · bundle
leandrobenjaminl Time Series Analysis
Analiza series temporales: tendencia, estacionalidad y pronóstico con Prophet, statsmodels y ML, incluyendo descomposición, tests de estacionariedad y evaluación contra baselines.
0 · bundle
k-dense-ai Scvi Tools
Provides deep generative models for single-cell omics analysis, including probabilistic batch correction, transfer learning, differential expression, and multi-modal integration.
30.2k · bundle
orchestra-research Sparse Autoencoder Training
Train and analyze Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features for mechanistic interpretability research.
10.4k · bundle
k-dense-ai Geniml
Train unsupervised machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.
30.2k · bundle
microsoft Azure AI Anomalydetector Java
Detect anomalies in time-series data using the Azure AI Anomaly Detector SDK for Java, with support for univariate and multivariate analysis, model training, and inference.
2.7k · bundle
mukul975 Detecting Data And Model Poisoning
Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.
24.6k · bundle
lingxling Pymoo
Solves single- and multi-objective optimization problems with NSGA-II/III, MOEA/D, and other evolutionary algorithms, including constraint handling, Pareto front analysis, and benchmark problems.
253 · bundle
qhjqhj00 Abc Eval
Benchmarks large language models on symbolic music understanding and instruction following using text-based ABC notation, covering syntax parsing, error detection, segment-level reasoning, and sequence-level musical analysis.
3
nvidia Tao Train Action Recognition
Train, evaluate, export, and run inference on TAO action-recognition models for classifying temporal actions in video clips using RGB, optical flow, or joint input.
2.2k · bundle
mukul975 Detecting Deepfake Audio In Vishing Attacks
Detects AI-generated deepfake audio used in voice phishing (vishing) attacks by extracting spectral features and classifying samples with machine learning models.
24.6k · bundle
qhjqhj00 Pymoo
Solve single- and multi-objective optimization problems with NSGA-II/III, MOEA/D, and other evolutionary algorithms, including Pareto front analysis, constraint handling, and benchmarking on standard test problems.
3 · bundle
google Agent Platform Eval Flywheel
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.
14.4k · bundle
mukul975 Detecting Anomalies In Industrial Control Systems
Deploys anomaly detection for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications.
24.6k · bundle
nvidia Tao Analyze Gaps Visual Changenet
Identifies the weakest samples per ground-truth label in NVIDIA TAO VCN Classify experiments by running a Docker container that performs threshold sweep, weakness scoring, and per-lighting expansion, then surfaces top-K weak samples for downstream augmentation or relabeling.
2.2k · bundle