Find the best CLAUDE.md, AGENTS.md and Claude skills

sshtomarSkill

marimo-math-viz

sshtomar/claude-skills/marimo-math-viz/SKILL.md

Create interactive mathematical visualization notebooks using marimo. Use when the user asks to "create a math notebook", "build an interactive visualization", "make an explorable explanation", "visualize a math concept interactively", "create a marimo math app", or wants to build gallery-style interactive math explorations with widgets, plots, and LaTeX.

sshtomarSkill

marimo-notebook

sshtomar/claude-skills/marimo-notebook/SKILL.md

Marimo notebook programming patterns and reactive execution best practices. Use when writing or editing Marimo notebooks, or when user encounters Marimo-specific errors like variable redefinition, reactivity issues, or scoping problems.

sshtomarSkill

mlflow-onboarding

sshtomar/claude-skills/mlflow-onboarding/SKILL.md

Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the user asks to get started with MLflow, set up tracking, add observability, or integrate MLflow into their project. Triggers on "get started with MLflow", "set up MLflow", "onboard to MLflow", "add MLflow to my project", "how do I use MLflow".

sshtomarSkill

model-serving

sshtomar/claude-skills/model-serving/SKILL.md

Deploy and query Databricks Model Serving endpoints. Use when (1) deploying MLflow models or AI agents to endpoints, (2) creating ChatAgent/ResponsesAgent agents, (3) integrating UC Functions or Vector Search tools, (4) querying deployed endpoints, (5) checking endpoint status. Covers classical ML models, custom pyfunc, and GenAI agents.

sshtomarSkill

querying-mlflow-metrics

sshtomar/claude-skills/querying-mlflow-metrics/SKILL.md

Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.

sshtomarSkill

rct-core-design

sshtomar/claude-skills/rct-core-design/SKILL.md

Design randomized controlled trials for causal inference. Use when user mentions: randomized evaluation, RCT, field experiment, randomized experiment, treatment assignment, causal impact, experimental design, control group, intervention evaluation.

sshtomarSkill

rct-data-analysis

sshtomar/claude-skills/rct-data-analysis/SKILL.md

Analyze data from randomized controlled trials. Use when user mentions: treatment effects, ITT analysis, LATE, TOT, compliance analysis, attrition, balance checks, heterogeneous effects, RCT results, experimental analysis.

sshtomarSkill

rct-ethics-registration

sshtomar/claude-skills/rct-ethics-registration/SKILL.md

Handle ethical requirements, IRB approval, trial registration, and pre-analysis plans for RCTs. Use when user mentions: research ethics, IRB, informed consent, trial registration, pre-analysis plan, PAP, data security, vulnerable populations, research transparency.

sshtomarSkill

rct-power-calculations

sshtomar/claude-skills/rct-power-calculations/SKILL.md

Calculate statistical power and sample sizes for RCTs. Use when user mentions: power analysis, sample size calculation, minimum detectable effect, MDE, statistical power, effect size, clustering effects, design effect, ICC, intra-cluster correlation.

sshtomarSkill

rct-randomization

sshtomar/claude-skills/rct-randomization/SKILL.md

Implement randomization methods for RCTs. Use when user mentions: random assignment, treatment allocation, stratification, blocking, permutation randomization, cluster randomization, randomization balance, misfit handling, re-randomization.

sshtomarSkill

regression-diagnostics

sshtomar/claude-skills/regression-diagnostics/SKILL.md

Comprehensive regression model diagnostics and assumption checking. Use when validating regression models, checking assumptions (linearity, homoskedasticity, normality, independence), detecting outliers/influence, testing multicollinearity, or when user mentions residuals, heteroskedasticity, VIF, Cook's distance, or diagnostic plots.

sshtomarReads credentialsSkill

retrieving-langfuse-traces

sshtomar/claude-skills/retrieving-langfuse-traces/SKILL.md

Retrieves Langfuse traces using a Python CLI wrapper. Use when the user asks to get a trace by ID, find traces, filter traces by tags/user/session/time, query observations or scores, or debug traced executions. Triggers on "get langfuse trace", "search traces", "find traces", "filter traces by", "langfuse traces", "recent traces", "query langfuse", "show me traces".

sshtomarSkill

retrieving-mlflow-traces

sshtomar/claude-skills/retrieving-mlflow-traces/SKILL.md

Retrieves MLflow traces using CLI or Python API. Use when the user asks to get a trace by ID, find traces, filter traces by status/tags/metadata/execution time, query traces, or debug failed traces. Triggers on "get trace", "search traces", "find failed traces", "filter traces by", "traces slower than", "query MLflow traces".

sshtomarSkill

searching-mlflow-docs

sshtomar/claude-skills/searching-mlflow-docs/SKILL.md

Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs for Y", "MLflow API for Z".

sshtomarSkill

spark-declarative-pipelines

sshtomar/claude-skills/spark-declarative-pipelines/SKILL.md

Creates, configures, and updates Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP) using serverless compute. Handles streaming tables, materialized views, CDC, SCD Type 2, and Auto Loader ingestion patterns. Use when building data pipelines, working with Delta Live Tables, ingesting streaming data, implementing change data capture, or when the user mentions SDP, LDP, DLT, Lakeflow pipelines, streaming tables, or bronze/silver/gold medallion architectures.

sshtomarSkill

svg-animations

sshtomar/claude-skills/svg-animations/SKILL.md

Create interactive SVG animations using CSS transitions, SMIL, and path techniques. Use when user asks to animate SVGs, create icon animations, morph shapes, draw paths, or build micro-interactions with SVG elements.

sshtomarSkill

synthetic-data-generation

sshtomar/claude-skills/synthetic-data-generation/SKILL.md

Generate realistic synthetic data using Faker and Spark, with non-linear distributions, integrity constraints, and save to Databricks. Use when creating test data, demo datasets, or synthetic tables.

sshtomarSkill

taste-driven-dev

sshtomar/claude-skills/taste-driven-dev/SKILL.md

Curriculum and pre-task framing for sharpening engineering judgment in the AI era — customer taste, system design taste, and granular management of the coding engine. Use when reflecting on how to get better as an engineer, before starting non-trivial coding work, when picking quarterly habits to adopt, or when discussing AI-assisted dev workflow.

sshtomarSkill

design-taste-frontend

sshtomar/claude-skills/taste-skill/SKILL.md

Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.

Often used withstitch-design-taste·embedded-captions·emil-design-eng

sshtomarSkill

today

sshtomar/claude-skills/today/SKILL.md

Generate daily todo view from tasks system. Use when user types 'today' or wants to see their daily schedule and tasks.