Analítica
Anàlisi, informes i visualització
data-catchall
Chipagosfinest
Data: data engineering, analytics, ETL, QA, testing. Triggers: data pipeline, etl, data warehouse, analytics, dashboard, metrics, kpi, testing, test automation, qa, quality assurance, ci/cd testing, data science.
product-analytics
SkeneTechnologies
When the user wants to set up product analytics -- including event taxonomy, tracking plans, funnel analysis, or tool selection (Mixpanel, Amplitude, PostHog). Also use when the user says "event tracking," "analytics setup," "tracking plan," "analytics implementation," or "user identification." For PLG metrics, see plg-metrics. For experimentation, see growth-experimentation.
plg-metrics
SkeneTechnologies
When the user wants to define PLG metrics, build a growth dashboard, or set KPI targets -- including activation rate, free-to-paid conversion, NRR, or North Star metric. Also use when the user says "PLG dashboard," "growth KPIs," "metric definitions," or "PLG benchmarks." For activation-specific metrics, see activation-metrics. For analytics setup, see product-analytics.
engagement-loops
SkeneTechnologies
When the user wants to design engagement loops that drive repeated product usage -- including notification strategy, habit formation, or re-engagement triggers. Also use when the user says "DAU/MAU," "habit loop," "trigger action reward," "engagement framework," or "how to bring users back." For retention analysis, see retention-analysis. For feature adoption, see feature-adoption.
scanpy
tondevrel
Scalable toolkit for analyzing single-cell gene expression data. Built on top of Anndata, focusing on clustering, trajectory inference, and visualization.
dask
tondevrel
A flexible library for parallel computing in Python. It scales Python libraries like NumPy, pandas, and scikit-learn to multi-core systems or distributed clusters. Features lazy evaluation and task scheduling for data that exceeds RAM capacity. Use for out-of-core computing, parallel processing, distributed computing, large-scale data analysis, dask.array, dask.dataframe, dask.delayed, dask.bag, task scheduling, lazy evaluation, and scaling beyond memory limits.
plotly
tondevrel
A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.
networkx
tondevrel
Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Supports various graph types (Directed, Undirected, Multigraphs) and features a vast library of standard graph algorithms. Use for network analysis, graph theory, social network analysis, biological networks, infrastructure networks, path finding, centrality measures, community detection, graph algorithms, shortest paths, PageRank, connectivity analysis, and routing optimization.
qiskit
tondevrel
Comprehensive guide for Qiskit - IBM's quantum computing framework. Use for quantum circuit design, quantum algorithms (VQE, QAOA, Grover, Shor), quantum simulation, noise modeling, quantum machine learning, and quantum chemistry calculations. Essential for quantum computing research and applications.
powerbi-report
RuiRomano
Guide to develop Power BI Reports in PBIR format. Use this skill for any development operation against a Power BI Report PBIR file format including (1) Creating new reports on top of semantic models, (2) Editing visuals, pages, and bookmarks, (3) Aligning and laying out visuals, (4) Rebinding reports to different semantic models, (5) Deploying reports to Fabric workspaces, (6) Exporting reports from workspaces. Do NOT use for semantic model development or TMDL (use powerbi-semantic-model), or workspace/pipeline administration (use fabric-cli).
billing-integration
vanman2024
Clerk Billing and Stripe subscription management setup. Use when implementing subscriptions, configuring pricing plans, setting up billing, adding payment flows, managing entitlements, or when user mentions Clerk Billing, Stripe integration, subscription management, pricing tables, payment processing, or monetization.
observability-patterns
vanman2024
Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave). Use when implementing monitoring, debugging agent behavior, analyzing agent performance, setting up tracing, or when user mentions observability, logging, tracing, BigQuery analytics, AgentOps, Phoenix, Arize, or Weave.
markout-output-formats
richlander
Use when you need output other than default Markdown — plain text / Unicode, ANSI terminal (Spectre), pretty aligned tables, or TSV/JSONL exports — or when one model must serve several formats from a single render path (a CLI --format switch). Also covers semantic inline code that renders as Markdown code spans but decodes to plain text in TSV/JSONL. Pick the format with a formatter + MarkoutWriterOptions; never hand-build TSV/JSONL. Don't decompile the assembly or web-search the API — the multi-format idioms are all here.
acsets-algebraic-databases
plurigrid
"ACSets (Attributed C-Sets): Algebraic databases with Specter-style bidirectional"
intent-report
ArcBlock
Generate human-readable report from Intent files. Converts technical Intent specs into readable documents for stakeholders, team members, or documentation. Supports multiple output formats.
analytics-tracking
VladimirBrejcha
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
html-visual
2ykwang
"Generate an interactive single-file HTML visualization (mockup, wireframe, ERD, flowchart, chart, slides, architecture diagram, dashboard, timeline, mindmap, kanban, table)."
html-visual
2ykwang
"Generate an interactive single-file HTML visualization (mockup, wireframe, ERD, flowchart, chart, slides, architecture diagram, dashboard, timeline, mindmap, kanban, table)."
debug
nth5693
Systematic debugging with structured reproduction and root cause analysis.
improve-codebase-architecture
TurboSnails
扫描代码库中的深化机会，生成可视化 HTML 报告，然后围绕你选中的候选项继续追问。
dashboard-builder
SeuPut0705
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.
analytics-measurement
dmend3z
This skill helps you define, measure, and analyze your marketing performance. Use it when you need to set goals, track conversions, and make data-driven decisions to improve your marketing ROI.
marketing-technology-martech
dmend3z
This skill transforms Claude into a Marketing Technology (MarTech) specialist. Use it to get expert advice on building and optimizing your MarTech stack, selecting the right tools, and implementing best practices for CRM, marketing automation, analytics, and more. Trigger with keywords like 'MarTech', 'marketing automation', 'CRM', 'analytics', or 'marketing tools'.
customer-experience-cx
dmend3z
This skill helps you improve your digital customer experience (CX) by applying best practices. Use it when you want to analyze and enhance customer journeys, personalize interactions, and build customer loyalty. Trigger keywords: customer experience, CX, customer journey, personalization.