borghei-claude-skills-1
claudeData analysis and business intelligence skill for dashboards, metrics, and strategic insights. Supports data-driven decision-making.
200 skills · 5 agents
Time series forecasting integrations with StatsForecast, MLForecast, and NeuralForecast for predictive analytics and data modeling.
Plugin intent-solutions-io-plugins-nixtla from marketplace cascade-data-analytics in joshuarweaver/cascade-data-analytics. Commands read from the repo's manifest — 1 month ago.
nixtla-baseline-reviewAnalyze real sMAPE and MASE results produced by the community Nixtla Baseline Lab, compare models, and surface fragile series without inventing benchmarks. Use when reviewing StatsForecast output; trigger with "baseline review", "interpret sMAPE/MASE", or "compare AutoETS and AutoTheta".
skills-expertAudit, debug, and improve Agent Skills without conflating the portable base format with repository-specific marketplace rules. Use when creating or repairing SKILL.md packages; trigger with "skill not loading", "frontmatter", "allowed-tools", or "validate this skill".
nixtla-anomaly-detectorDetects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Trigger with "detect anomalies", "find outliers", "anomaly detection".
nixtla-cross-validatorPerforms 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 backtesting".
nixtla-exogenous-integratorIncorporates 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 events".
nixtla-timegpt2-migratorAssists 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 compatibility".
nixtla-uncertainty-quantifierQuantifies 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".
nixtla-timegpt-finetune-labFine-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".
nixtla-arbitrage-detectorDetects arbitrage opportunities between Polymarket and Kalshi prediction markets. Use when a user wants to find price discrepancies for the same event on different platforms. Trigger with "find arbitrage", "detect market inefficiencies", "compare Polymarket and Kalshi prices".
nixtla-batch-forecasterForecasts 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 forecast", "portfolio forecast", "parallel foreca
nixtla-contract-schema-mapperTransforms prediction market data to Nixtla format (unique_id, ds, y). Maps arbitrary column names to required schema. Validates date and numeric types. Use when preparing prediction market datasets for Nixtla forecasting tools. Trigger with "convert to Nixtla format", "schema mapping", "transform d
nixtla-correlation-mapperAnalyzes multi-contract correlations and generates hedge recommendations. Use when managing a portfolio of correlated assets and needing to mitigate risk. Trigger with "analyze correlations", "suggest hedge", "portfolio risk assessment".
nixtla-event-impact-modelerQuantifies the impact of exogenous events on contract prices using TimeGPT and CausalImpact. Triggers on "event impact analysis", "model event effects", "quantify event impact", or "causal analysis".
nixtla-forecast-validatorValidates time series forecast quality metrics by comparing current performance against historical benchmarks. Detects degradation in MASE and sMAPE metrics. Activates when user mentions "validate forecast", "check forecast quality", or "assess forecast metrics".
nixtla-liquidity-forecasterForecasts 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".
nixtla-market-risk-analyzerAnalyzes market risk by calculating VaR, volatility, drawdown, and position sizing. Use when assessing investment risk, managing portfolios, or determining position sizes. Trigger with "analyze market risk", "calculate portfolio risk", "determine position size".
nixtla-model-selectorAutomatically selects the best forecasting model between StatsForecast and TimeGPT based on time series data characteristics. Use when unsure which model performs best. Trigger with "auto-select model", "choose best model", "model selection".
nixtla-polymarket-analystAnalyzes Polymarket prediction market contracts and forecasts price movements using TimeGPT. Activates when analyzing prediction markets, forecasting contract outcomes, or evaluating market sentiment. Triggers on: "Polymarket analysis", "predict contract odds", "forecast prediction market".
schema-optimization-orchestratorMulti-phase schema optimization workflow orchestrator. Creates session directories, spawns phase agents sequentially, validates outputs, aggregates results. Trigger: "run schema optimization", "optimize schema workflow", "execute schema phases
nixtla-release-validationMulti-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
nixtla-timegpt-lab-bootstrapGuides TimeGPT lab environment setup including Python dependencies, API key configuration, smoke testing, experiment workflows, and optional CI/CD integration. Inspects environment docs and scripts to provide step-by-step setup instructions, troubleshooting guidance, and onboarding for new developer
nixtla-experiment-architectScaffolds production-ready forecasting experiments with Nixtla libraries. Creates configuration files, experiment harnesses, multi-model comparisons, and cross-validation workflows for StatsForecast, MLForecast, and TimeGPT. Activates when user needs experiment setup, forecasting pipeline creation,
nixtla-prod-pipeline-generatorTransforms 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, schedule batch inference, operationalize mo
nixtla-schema-mapperAnalyzes data sources and generates Nixtla-compatible schema transformations. Infers column mappings, creates transformation modules for CSV/SQL/Parquet/dbt sources, generates schema contracts, and validates data quality. Activates when user needs data transformation, schema mapping, column inferenc
nixtla-skills-bootstrapInstalls and updates Nixtla Skills in current project using nixtla-skills CLI. Manages skill installation, updates existing skills, and guides through setup process. Activates when user needs to install Nixtla skills, update skills to latest version, or set up Nixtla environment.
nixtla-skills-indexLists all installed Nixtla Skills and provides guidance on which skill to use for specific tasks. Scans skills directory, reads frontmatter, outputs formatted index with categories and usage recommendations. Activates when user wants to see available skills, needs guidance on skill selection, or ask
nixtla-timegpt-labProvides expert Nixtla forecasting using TimeGPT, StatsForecast, and MLForecast. Generates time series forecasts, analyzes trends, compares models, performs cross-validation, and recommends best practices. Activates when user needs forecasting, time series analysis, sales prediction, demand planning
nixtla-usage-optimizerAudits Nixtla library usage and recommends cost-effective routing strategies. Scans TimeGPT, StatsForecast, and MLForecast patterns, identifies cost optimization opportunities, generates comprehensive usage reports, and suggests smart routing between models. Activates when user needs cost optimizati
nixtla-benchmark-reporterGenerate 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 with 'generate benchmark report', 'analyze
nixtla-demo-generatorGenerate 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 Jupyter demo', or 'build forecasting exam
nixtla-mcp-server-builderGenerate 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 infrastructure. Trigger with 'build MCP server', '
nixtla-plugin-scaffolderGenerate 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', or 'initialize plugin structure'.
nixtla-prd-to-codeTransform 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 'create task list'.
nixtla-test-generatorGenerate 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 tests from PRD', 'create test suite', or
nixtla-universal-validatorValidate 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'.
changelog-orchestratorOrchestrate 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 "generate changelog", "weekly changelog", or
nixtla-explain-analystAnalyze and explain TimeGPT forecast results in plain English. Generates
nixtla-model-benchmarkerGenerate 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 \"model selection\".
nixtla-research-assistantResearch 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 time-series papers\".
timegpt-pipeline-builderGenerate 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 forecast code\".
Auditing Access ControlThis skill enables Claude to audit access control implementations in various systems. It uses the access-control-auditor plugin to identify potential vulnerabilities and misconfigurations related to access control. Use this skill when the user asks to "audit access control", "check permissions", "as
fairdb-backup-managermarketplace-managerplugin-auditorplugin-creatorplugin-validatorversion-bumperai-ethics-validatorai-sdk-agentsanomaly-detection-systemautoml-pipeline-builderclassification-model-builderclustering-algorithm-runnercomputer-vision-processordata-preprocessing-pipelinedata-visualization-creatordataset-splitterdeep-learning-optimizerexperiment-tracking-setupfeature-engineering-toolkithyperparameter-tunerml-model-trainermodel-deployment-helpermodel-evaluation-suitemodel-explainability-toolmodel-versioning-trackerneural-network-buildernlp-text-analyzerrecommendation-engineregression-analysis-toolsentiment-analysis-tooltime-series-forecastertransfer-learning-adapterexcel-dcf-modelerexcel-lbo-modelerexcel-pivot-wizardexcel-variance-analyzerdata-seeder-generatordata-validation-enginedatabase-archival-systemdatabase-audit-loggerdatabase-backup-automatordatabase-cache-layerdatabase-connection-poolerdatabase-deadlock-detectordatabase-diff-tooldatabase-documentation-gendatabase-health-monitordatabase-index-advisordatabase-migration-managerdatabase-partition-managerdatabase-recovery-managerdatabase-replication-managerdatabase-schema-designerdatabase-security-scannerdatabase-sharding-managerdatabase-transaction-monitornosql-data-modelerorm-code-generatorquery-performance-analyzersql-query-optimizerstored-procedure-generatoransible-playbook-creatorauto-scaling-configuratorbackup-strategy-implementorci-cd-pipeline-buildercloud-cost-optimizercompliance-checkercontainer-registry-managercontainer-security-scannerdeployment-pipeline-orchestratordeployment-rollback-managerdisaster-recovery-plannerdocker-compose-generatorenvironment-config-managergit-commit-smartgitops-workflow-builderhelm-chart-generatorinfrastructure-as-code-generatorinfrastructure-drift-detectorkubernetes-deployment-creatorload-balancer-configuratorlog-aggregation-setupmonitoring-stack-deployernetwork-policy-managersecrets-manager-integratorservice-mesh-configuratorsugarterraform-module-builderai-ml-engineering-packdevops-automation-packsecurity-pro-packalerting-rule-creatorapm-dashboard-creatorapplication-profilerbottleneck-detectorcache-performance-optimizercapacity-planning-analyzercpu-usage-monitordistributed-tracing-setuperror-rate-monitorinfrastructure-metrics-collectorload-test-runnerlog-analysis-toolmemory-leak-detectormetrics-aggregatornetwork-latency-analyzerperformance-budget-validatorperformance-optimization-advisorperformance-regression-detectorreal-user-monitoringresource-usage-trackerresponse-time-trackersla-sli-trackersynthetic-monitoring-setupthroughput-analyzer000-jeremy-content-consistency-validator001-jeremy-taskwarrior-integrationyaml-mastervertex-media-masteragent-sdk-masteragent-context-loaderovernight-devaccess-control-auditorauthentication-validatorcompliance-report-generatorcors-policy-validatorcsrf-protection-validatordata-privacy-scannerdependency-checkerencryption-toolgdpr-compliance-scannerhipaa-compliance-checkerinput-validation-scannerowasp-compliance-checkerpci-dss-validatorpenetration-testersecret-scannersecurity-audit-reportersecurity-headers-analyzersecurity-incident-respondersecurity-misconfiguration-findersession-security-checkersoc2-audit-helpersql-injection-detectorssl-certificate-managervulnerability-scannerxss-vulnerability-scannerweb-to-github-issueaccessibility-test-scannerapi-fuzzerapi-test-automationbrowser-compatibility-testerchaos-engineering-toolkitcontract-test-validatordatabase-test-managere2e-test-frameworkintegration-test-runnerload-balancer-testermobile-app-testerData analysis and business intelligence skill for dashboards, metrics, and strategic insights. Supports data-driven decision-making.
200 skills · 5 agents
Tool for retrieving and analyzing biological or sequential data from ToolUniverse.
186 skills
Marketing skill for SEO insights, site performance analysis, and search optimization using Google Search Console data.
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Comprehensive spreadsheet manipulation with formula support, data analysis, and visualization. Handles XLSX, CSV, TSV for analysis, creation, and modification.
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Process and analyze mass spectrometry data (mzML, MGF, MSP formats) with spectral similarity metrics and metadata harmonization for metabolomics research.
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Stock data and financial metrics from Yahoo Finance API. Provides market quotes, historical data, and financial analysis.
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Install the "AAS Data Analytics & Business Intelligence" workflow plugin from Agentic Awesome Skills.
16 skills
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Prep calls, summarize and follow up, research accounts, review deals and pipeline, and write the forecast, using the CRM, email, calendar and chat tools your team already uses, or uploaded files. Updates records, drafts or sends email, posts to chat and books meetings when you ask.
36 skills · 23 MCP servers
Per-deal-and-packaging Commercial domain. v2.8.0 ships 8 skills: orchestrator + pricing-strategist (model picker + Van Westendorp WTP + packaging) + deal-desk (deal scorer + discount approval routing + redline) + partnerships-architect (5-tier classifier + joint GTM + revshare modeler) + channel-economics (cost-to-serve + ROI + mix optimizer) + commercial-policy (data-backed discount matrix + exception flow + linter) + rfp-responder (Shipley structured RFP/RFI/RFQ + win-theme + winrate predictor, context: fork) + commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Hard rules: pricing outputs model+range (never a single number), deal outputs route to named human approver (never auto-approve), forecast outputs surface conversion assumption, RFP never invents claims for GAP requirements. 21 stdlib Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic), finance (close+report).
8 skills · 9 commands · 1 agent
Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.
3 skills · 3 commands
Research, search, and analysis specialists - market research, competitive analysis, trend forecasting, and idea validation
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