Reporting

dashboard-builder helps you turn metrics into a practical operational dashboard for Grafana, SigNoz, or similar tools. Use the dashboard-builder skill when you need a clear dashboard-builder guide for health, bottlenecks, throughput, and action-focused panels instead of a vanity board.

retro is a project retrospective skill for engineering teams. It analyzes commit history, work patterns, and prior learnings to generate a structured weekly retro with continuity. Use retro for sprint reviews, what did we ship questions, and Project Management check-ins.

timeline-report turns claude-mem timeline data into a readable "Journey Into [Project]" report. Use it to analyze development history, major phases, pivots, and project trajectory. Best when claude-mem observations already exist and the worker is running on localhost:37777.

startup-metrics-framework helps founders, analysts, and operators calculate startup KPIs like CAC, LTV, burn multiple, runway, and growth metrics for SaaS, marketplace, consumer, and B2B startups.

The kpi-dashboard-design skill helps teams plan decision-focused KPI dashboards with metric selection, dashboard hierarchy, chart patterns, and governance guidance for executive, tactical, and operational views.

gws-admin-reports helps with Google Workspace Admin SDK Reports API tasks, including audit log lookups, usage reports, and watch channels. Use it for structured Reporting workflows with gws admin-reports resource and method commands, not broad API exploration.

metrics-dashboard helps you define and design a product metrics dashboard with the right KPIs, visualizations, and alert thresholds. Use it to plan what to measure, how to group metrics, and which signals should trigger action for product, growth, or analytics workflows.

Perform cohort-analysis on user retention, engagement decay, and feature adoption by cohort. This cohort-analysis skill is built for Data Analysis workflows that need validation, calculation, visualization, and clear insights from structured user behavior data.

huggingface-trackio helps track ML training runs with Trackio. Use this skill to log metrics from Python, add training alerts, and retrieve or analyze runs with the trackio CLI. It supports real-time dashboards, Hugging Face Space sync, and JSON output for automation, making huggingface-trackio useful for experiment tracking and data analysis.

Workspace Data Analyst is a lightweight skill for data analysis in your workspace. It analyzes CSV files, checks headers, summarizes totals, averages, and outliers, and provides concise next-step insights. The Workspace Data Analyst skill is ideal for quick file-aware reviews before deeper modeling.

interpreting-culture-index helps interpret Culture Index surveys, profile exports, and related hiring or coaching notes. Use this interpreting-culture-index skill for role fit, team dynamics, burnout risk, candidate debriefs, onboarding plans, and conflict mediation. It emphasizes arrow-relative reading, anti-pattern checks, and practical outputs for data analysis and decision support.

app-analytics helps you set up, interpret, and improve mobile app tracking with a practical measurement plan. Use it to choose the right tools, validate events, connect attribution to outcomes, and support Data Analysis for product, growth, subscriptions, or paid acquisition decisions.

vega is a chart-authoring skill for turning structured data into interactive, data-driven visualizations with Vega-Lite for most cases and Vega for advanced layouts. Use it for bar, line, scatter, heatmap, area, stacked, and multi-series charts when you have real data fields and need valid JSON specs.

crypto-market-rank is a Binance Web3 skill for ranking trending tokens, top searches, Alpha assets, tokenized stocks, social hype, smart money inflows, meme tokens, and trader PnL. Use it for fast, structured market-signal snapshots and crypto-market-rank for Data Analysis.

performance-reporter helps teams turn SEO and GEO metrics into executive-ready reports, KPI dashboards, and monthly summaries using built-in templates, KPI definitions, and audience-specific reporting formats.

scientific-visualization is a meta-skill for publication-ready figures. Use it for journal submission plots with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and Nature/Science/Cell-style formatting. It orchestrates matplotlib, seaborn, and plotly for scientific-visualization for Data Visualization work.

The exploratory-data-analysis skill turns scientific files into format-aware EDA reports. It detects file type, summarizes structure and quality, extracts key metadata, and suggests downstream analysis. Use it for exploratory-data-analysis for Data Analysis across chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and other scientific file formats.

The building-soc-metrics-and-kpi-tracking skill turns SOC activity data into KPIs like MTTD, MTTR, alert quality, analyst productivity, and detection coverage. It fits SOC leadership, security operations, and observability teams that need repeatable reporting, trend tracking, and executive-friendly metrics backed by Splunk-based workflows.

building-incident-response-dashboard helps teams build real-time incident response dashboards in Splunk, Elastic, or Grafana for active incident tracking, containment status, affected assets, IOC spread, and response timelines. Use this building-incident-response-dashboard skill when you need a focused dashboard for SOC analysts, incident commanders, and leadership.

The crash-analytics skill helps you triage, prioritize, and reduce app crashes using Crashlytics, App Store Connect, and Xcode Organizer. Use it to identify which crash to fix first, interpret crash-free sessions, and assess how crash rate affects retention, ratings, and App Store performance. Ideal for crash-analytics for Data Analysis and release triage.

The asc-metrics skill helps you analyze official App Store Connect performance data synced into Appeeky: downloads, revenue, IAP, subscriptions, trials, and country trends. Use it for first-party reporting, period comparisons, and app sales analysis when you need real account metrics instead of estimates.