jeremylongshore/plugins-nixtla

nixtla-skills-bootstrap

Generate and configure Nixtla Skills using the CLI for forecasting workflows. Use when installing or updating skills. Trigger with 'install nixtla skills' or 'update nixtla'.

Quellsprache: Englisch

nixtla-model-benchmarker

Generate benchmarking pipelines to compare forecasting models and summarize accuracy/speed trade-offs. Use when evaluating TimeGPT vs StatsForecast/MLForecast/NeuralForecast on a dataset. Trigger with "benchmark models", "compare TimeGPT vs StatsForecast", or…

Quellsprache: Englisch

nixtla-research-assistant

Research and summarize Nixtla ecosystem updates and time-series forecasting content from the web and GitHub. Use when gathering release notes, recent changes, or best-practice references. Trigger with "Nixtla updates", "what's new with TimeGPT", or "find…

Quellsprache: Englisch

timegpt-pipeline-builder

Generate production-ready TimeGPT forecasting pipeline code from requirements. Use when scaffolding a pipeline with validation, logging, visualization, and repeatable runs. Trigger with "create TimeGPT pipeline", "build TimeGPT integration", or "generate…

Quellsprache: Englisch

nixtla-baseline-review

Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other benchmark datasets). Use when the user asks about baseline performance, model comparisons, or metric interpretation for Nixtla time-series experiments. Trigger with "baseline review",…

Quellsprache: Englisch

changelog-orchestrator

Orchestrate 6-phase changelog generation workflow with AI synthesis, multi-source data fetching (GitHub/Slack/Git), quality validation, and automated PR creation. Use when automating release notes, weekly changelogs, or documentation updates. Trigger with…

Quellsprache: Englisch

nixtla-explain-analyst

Analyze and explain TimeGPT forecast results in plain English. Generates executive summaries with driver analysis. Use when stakeholders need forecast explanations, board presentations, or compliance documentation. Trigger with "explain forecast", "why is the…

Quellsprache: Englisch

nixtla-timegpt-finetune-lab

Fine-tunes TimeGPT on custom datasets to improve forecasting accuracy. Use when TimeGPT's zero-shot performance is insufficient or domain-specific accuracy is needed. Trigger with "finetune TimeGPT", "train TimeGPT", "adapt TimeGPT".

Quellsprache: Englisch

nixtla-plugin-scaffolder

Generate production-ready plugin structures from PRD documents with enterprise-compliant files. Use when scaffolding new plugins, converting PRDs to plugin skeletons, or initializing plugin projects. Trigger with 'scaffold plugin', 'create plugin from PRD',…

Quellsprache: Englisch

org-universal-validator

Validate skills and plugins with deterministic evidence bundles and strict schema gates. Use when auditing changes or enforcing compliance. Trigger with 'run validation' or 'audit validators'.

Quellsprache: Englisch

org-verification-pipeline

Produces verified datasets, verified evaluation results, and a deployable contract bundle for a workflow. Use when you need provable correctness at data and evaluation boundaries. Trigger with 'verify workflow', 'validate contract', or 'run verification…

Quellsprache: Englisch

nixtla-benchmark-reporter

Generate comprehensive markdown benchmark reports from forecast accuracy metrics with model comparisons, statistical analysis, and regression detection. Use when analyzing baseline performance, comparing forecast models, or validating model quality. Trigger…

Quellsprache: Englisch

nixtla-demo-generator

Generate production-ready Jupyter notebooks showcasing Nixtla forecasting workflows for statsforecast, mlforecast, and TimeGPT. Use when creating demos, building examples, or showcasing forecasting capabilities. Trigger with 'generate demo notebook', 'create…

Quellsprache: Englisch

nixtla-mcp-server-builder

Generate production-ready MCP server implementations from PRD tool specifications with schema validation, error handling, and testing infrastructure. Use when building MCP servers for Nixtla plugins, implementing tool handlers, or scaffolding server…

Quellsprache: Englisch

nixtla-prd-to-code

Transform PRD documents into actionable implementation tasks with TodoWrite integration. Use when planning development work, converting requirements to tasks, or creating implementation roadmaps. Trigger with 'PRD to tasks', 'plan implementation from PRD', or…

Quellsprache: Englisch

nixtla-test-generator

Generate comprehensive pytest test suites from PRD functional requirements with fixtures, parameterization, and coverage tracking. Use when creating tests for new plugins, validating PRD requirements, or scaffolding test infrastructure. Trigger with 'generate…

Quellsprache: Englisch

nixtla-universal-validator

Validate Nixtla skills and plugins with deterministic evidence bundles and strict schema gates. Use when auditing changes or enforcing compliance. Trigger with 'run validation' or 'audit validators'.

Quellsprache: Englisch

nixtla-arbitrage-detector

Detect arbitrage opportunities between Polymarket and Kalshi using forecast analysis. Use when finding price discrepancies across platforms. Trigger with 'find arbitrage' or 'compare market prices'.

Quellsprache: Englisch

nixtla-contract-schema-mapper

Transform prediction market data to Nixtla format (unique_id, ds, y). Use when preparing datasets for forecasting. Trigger with 'convert to Nixtla format' or 'schema mapping'.

Quellsprache: Englisch

nixtla-event-impact-modeler

Analyze causal impact of events on time series forecasts using TimeGPT. Use when quantifying promotion or disaster effects. Trigger with 'event impact analysis' or 'causal analysis'.

Quellsprache: Englisch

nixtla-exogenous-integrator

Incorporates external variables (holidays, weather, events) into TimeGPT forecasts to improve accuracy. Use when forecasts require external data, holidays impact sales, or weather affects demand. Trigger with 'include holidays', 'add weather data', 'integrate…

Quellsprache: Englisch

nixtla-experiment-architect

Generate production-ready forecasting experiments with StatsForecast and TimeGPT. Use when setting up model benchmarking or cross-validation. Trigger with 'scaffold experiment' or 'compare models'.

Quellsprache: Englisch

nixtla-forecast-validator

Validate forecast quality by comparing MASE and sMAPE against benchmarks. Use when detecting model degradation. Trigger with 'validate forecast' or 'check forecast quality'.

Quellsprache: Englisch

nixtla-polymarket-analyst

Analyze and forecast Polymarket contracts using TimeGPT with confidence intervals. Use when predicting contract prices. Trigger with 'Polymarket analysis' or 'forecast prediction market'.

Quellsprache: Englisch

nixtla-prod-pipeline-generator

Transform forecasting experiments into Airflow/Prefect pipelines with monitoring. Use when deploying forecasts to production. Trigger with 'generate pipeline' or 'create Airflow DAG'.

Quellsprache: Englisch

nixtla-schema-mapper

Transform data sources to Nixtla schema (unique_id, ds, y) with column inference. Use when preparing data for forecasting. Trigger with 'map to Nixtla schema' or 'transform data'.

Quellsprache: Englisch

nixtla-skills-index

Analyze and categorize installed Nixtla Skills for forecasting guidance. Use when seeing available skills or selecting the right one. Trigger with 'list nixtla skills' or 'what skills'.

Quellsprache: Englisch

nixtla-timegpt-lab

Generate time series forecasts using TimeGPT, StatsForecast, and MLForecast. Use when forecasting, demand planning, or model comparison is needed. Trigger with 'forecast time series' or 'run Nixtla forecast'.

Quellsprache: Englisch

nixtla-timegpt2-migrator

Analyze and transform code for TimeGPT-1 to TimeGPT-2 migration. Use when upgrading TimeGPT version. Trigger with 'migrate to TimeGPT-2' or 'upgrade TimeGPT'.

Quellsprache: Englisch

nixtla-uncertainty-quantifier

Analyze forecast uncertainty using conformal prediction. Use when risk assessment or scenario planning is required. Trigger with 'quantify uncertainty' or 'prediction intervals'.

Quellsprache: Englisch

nixtla-release-validation

Multi-phase release validation workflow for nixtla. Analyzes git changes, predicts test impact, assesses risk, runs pytest verification, provides go/no-go recommendation. Trigger: "validate release", "run release validation", "check release readiness"

Quellsprache: Englisch

skills-expert

Provide expert guidance on skills architecture, YAML frontmatter, tool permissions, and debugging. Use when creating, troubleshooting, or validating skills. Trigger with "skill not loading", "frontmatter", or "allowed-tools".

Quellsprache: Englisch

nixtla-cross-validator

Performs rigorous time series cross-validation using expanding and sliding windows. Use when needing to evaluate the performance of time series models on unseen data. Trigger with "cross validate time series", "evaluate forecasting model", "time series…

Quellsprache: Englisch

nixtla-exogenous-integrator

Incorporates external variables (holidays, weather, events) into TimeGPT forecasts to improve accuracy. Use when forecasts require external data, holidays impact sales, or weather affects demand. Trigger with "include holidays", "add weather data", "integrate…

Quellsprache: Englisch

nixtla-batch-forecaster

Forecasts multiple time series in parallel batches using TimeGPT API. Optimizes throughput with rate limiting and supports portfolio aggregation. Use when processing 10-100+ contracts or needing efficient multi-series forecasting. Trigger with "batch…

Quellsprache: Englisch

nixtla-liquidity-forecaster

Forecasts orderbook depth and spreads to optimize trade execution timing. Use when needing to estimate market liquidity for large orders. Trigger with "forecast liquidity", "predict orderbook", "estimate depth".

Quellsprache: Englisch

nixtla-prod-pipeline-generator

Transforms forecasting experiments into production-ready inference pipelines with Airflow, Prefect, or cron orchestration. Generates ETL tasks, monitoring, error handling, and deployment configs. Activates when user needs to deploy forecasts to production,…

Quellsprache: Englisch

nixtla-timegpt-finetune-lab

Enables TimeGPT model fine-tuning on custom datasets with Nixtla SDK. Guides dataset preparation, job submission, status monitoring, model comparison, and accuracy benchmarking. Activates when user needs TimeGPT fine-tuning, custom model training,…

Quellsprache: Englisch

nixtla-timegpt2-migrator

Assists users in migrating their codebase and data pipelines from TimeGPT-1 to TimeGPT-2. Use when upgrading to the latest version of TimeGPT, ensuring compatibility, and optimizing performance. Trigger with "migrate to TimeGPT-2", "upgrade TimeGPT", "TimeGPT…

Quellsprache: Englisch

nixtla-uncertainty-quantifier

Quantifies prediction uncertainty using conformal prediction. Use when risk assessment, scenario planning, or decision-making under uncertainty is required. Trigger with "quantify uncertainty", "generate prediction intervals", "confidence bands".

Quellsprache: Englisch