Packs
7 packs@dotnet
Dotnet Experimental
Dotnet Experimental skills from dotnet/skills.
3 skills · pack
curated
Prioritize Assumptions and Experiment
Install this pack to prioritize assumptions and design targeted experiments.
3 skills · pack
curated
Experimentation Pipeline
From hypothesis to impact reporting, this pack enables rigorous experimentation and evidence-based decisions.
4 skills · pack
@phuryn
Product Discovery
Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, and customer interview synthesis.
13 skills · pack
curated
Validate Product Idea
Validate a product idea by clarifying intent, identifying risky assumptions, and designing experiments to test them.
4 skills · pack
curated
Validate New Product Idea
Stress-test assumptions, design experiments, and validate a new product idea using lean startup methods.
3 skills · pack
@alirezarezvani
Product Team
13 product skills with 17 Python tools: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, code-to-prd, research summarizer, apple-hig-expert.
10 skills · pack
Results for “experiment”
16 skills
nexu-io experiment-readout
Transforms A/B test and product experiment data into actionable readouts with hypothesis, metrics, interpretation, and decision.
· bundle
github arize-experiment
Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance using the ax CLI.
36.2k · bundle
coreyhaines31 ab-testing
Plan, design, and analyze A/B tests and growth experiments, from hypothesis to statistically sound results.
36.3k · bundle
antigravity ab-testing
Plan, design, and implement A/B tests and experiments with statistical rigor, or build a growth experimentation program.
42.4k · bundle
cloudthinker-ai managing-eppo
Manage feature flags, experiments, and metrics in Eppo via its REST API, including flag configuration, experiment design, statistical analysis, and metric pipelines.
7
neuralblitz analytical
Applies quantitative and qualitative analysis techniques, interprets experimental data, validates procedures, and selects appropriate methods with uncertainty quantification.
1
More results
openai jupyter-notebook
Create, scaffold, and edit Jupyter notebooks for experiments, exploratory analysis, or tutorials using bundled templates and a helper script.
23.3k · bundle
github phoenix-evals
Build and run evaluators for AI/LLM applications using Phoenix, covering error analysis, custom evaluators, experiments, and production monitoring.
36.2k · bundle
agricidaniel ads-test
Design and evaluate paid-ad experiments with hypotheses, randomization, sample-size calculations, guardrails, and decision rules for A/B and split tests.
alirezarezvani ab-test-setup
Design statistically valid A/B tests with hypothesis frameworks, sample size calculations, and analysis checklists.
20.4k · bundle
galyarderlabs ab-test-setup
Guides setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
20 · bundle
owl-listener a-b-test-design
Design rigorous A/B tests with clear hypotheses, controlled variants, appropriate metrics, and sample size calculations.
1.7k
github arize-dataset
Manage Arize datasets and examples using the ax CLI: create, list, get, export, and append datasets for evaluation and experimentation.
36.2k · bundle
akillness data-analysis
Guide through a structured data analysis workflow: define the question, validate data quality, select the appropriate analytical method, and produce decision-ready findings with caveats.
42 · bundle
k-dense-ai deeptools
Process and analyze high-throughput sequencing data with deepTools for quality control, normalization, comparison, and publication-quality visualizations of ChIP-seq, RNA-seq, and ATAC-seq experiments.
30.2k · bundle
tradermonty trade-hypothesis-ideator
Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets, with ranked hypothesis cards, experiment designs, kill criteria, and optional strategy.yaml export.
2.3k · bundle