43 skills
Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting.
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Add Vercel Analytics, Vercel Speed Insights, and Google Tag Manager to the storefront.
Aggregate and display system metrics with anomaly detection for a time period
Detect and classify telemetry anomalies on Cognitum Seed devices. Use when investigating a device that's reporting odd metrics, before approving a firmware canary advancement, or when triaging fleet-wide health alerts.
Analyze your email patterns over a time period — volume trends, top senders, response time estimates, busiest days, and unread backlog statistics.
Generate comprehensive GitHub Feature Area Status reports for the Windows App SDK repository. Use when asked to create triage reports, identify high-priority issues, analyze feature area health, find issues needing attention, or generate status dashboards. Triggers on requests involving issue triage, area status, priority analysis, bug tracking reports, or engineering team focus areas.
Reactor charts and data visualization — choosing a chart type (line, bar, area, donut, `TreeChart`, `ForceGraph`), the chart DSL, `LabelView` / `XTickLabelView` / `YTickLabelView` for icon-plus-text and rich labels, and the visualization-best-practices rules. Use when adding charts or designing visualizations.
Declarative OpenTelemetry-aligned telemetry vocabulary and instrumentation conventions for traces, metrics, logs, and PII handling
Authoring conventions for exploratory data analysis notebooks and analytical dashboards, covering section sequence, visualization selection, scale thresholds, caching and state, and dashboard validation budgets. Use when composing or reviewing an EDA notebook, an analytical dashboard, or a dashboard test pass.
Provides role charters (mission, ownership, core principles, quality bar) for a multi-agent coding team. Each charter defines the role's mission, ownership scope, core principle (boundary constraints), and quality bar. Most roles also include communication rules. Consumed by the coordinator during task decomposition to assign work to the correct role. Triggers: "look up role charter", "what does the architect own", "check role boundaries", "find team roles", "which role handles X", "list agent charters", "role responsibilities". NOT for: task decomposition (use breaking-down-tasks), implementa
Generate the OCE shift status dashboard. Triggers on: 'generate shift dashboard', 'show dashboard', 'shift status', 'status dashboard', 'what's going on', or any request for a NON-SPECIFIC overview of current OCE status (incidents, pipelines, errors).
Use when: the user asks to make or render charts with flint-chart, visualize tabular data, generate a ChartAssemblyInput, validate/render through MCP, or add Flint to a JS/TS project. Author the semantic spec, transform data before Flint when needed, install/import Flint only when executable code is needed, and reserve backend-specific style tweaks for after compiling from Flint.
Use when: the user asks to make or render charts with flint-chart, visualize tabular data, generate a ChartAssemblyInput, validate/render through MCP, or add Flint to a JS/TS project. Author the semantic spec, transform data before Flint when needed, install/import Flint only when executable code is needed, and reserve backend-specific style tweaks for after compiling from Flint.
Use when user wants to incorporate charts, graphs, data grid, or other visual representations of data into their project. Use VegaVisual and DataGrid components to create these visuals, utilizing the shared DataTable input, formatting, theme, and interactivity. Covers the VisualContainer chrome every visual gets by default, the onInteraction selection/click events host apps consume, named multi-table data input for layered overlays and reference lines, and Vega-Lite native selections.
Build a lively, quantitative Work IQ Signalboard as a self-contained HTML dashboard of the signed-in user's last 28 days of Calendar, Mail, and Teams chat activity. Use whenever the user asks "show me my Work IQ signals", "build my Work IQ Signalboard", "make a Work IQ dashboard", or wants a visual of recent Microsoft 365 work patterns. Use Work IQ before responding, tolerate unavailable sources without guessing, and return the rendered HTML file.
Use this skill whenever the user asks to run a Monte Carlo simulation, model risk or uncertainty with random sampling, estimate P5/P50/P95 outcomes, or produce a probability distribution for project timelines, portfolio returns, downtime, costs, or similar uncertain variables. Trigger on phrases like 'run a Monte Carlo', 'simulate outcomes', 'probability chart for best and worst case', or when they give min/most-likely/max (or mean/std) and want thousands of iterations. Do NOT trigger for deterministic forecasts with no uncertainty, or for generic charts unrelated to simulation.
Use this skill whenever the user asks to visualize a project schedule, timeline, Gantt chart, or phase/task breakdown over time. It gives the agent a prebuilt, parameterized gantt() function so Gantt charts are produced instantly and consistently — with colour-coded groups, completion overlays, a today reference line, and auto-scaled date axes — instead of hand-writing matplotlib each time.
Use this skill whenever the user asks to visualize, chart, plot, or graph data (bar, line, scatter, histogram, pie) from a CSV, table, or DataFrame. It gives the agent prebuilt, parameterized matplotlib functions so charts are produced faster and more reliably — with consistent styling and sane defaults — instead of hand-writing matplotlib each time.
