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Implement Customer.io reliability patterns.\nUse when building fault-tolerant integrations,\nimplementing circuit breakers, or handling failures.\nTrigger with phrases like \

Apply Customer.io security best practices.\nUse when implementing secure integrations, handling PII,\nor setting up proper access controls.\nTrigger with phrases like \

Plan and execute Customer.io SDK upgrades.\nUse when upgrading SDK versions, migrating integrations,\nor updating to new API versions.\nTrigger with phrases like \

Add new capabilities or modify NanoClaw behavior. Use when user wants to add channels (Telegram, Slack, email input), change triggers, add integrations, modify the router, or make any other customizations. This is an interactive skill that asks questions to understand what the

Generate professional CVs/resumes from YAML using rendercv - multiple templates, PDF output

Help with application security review, bug bounty workflows, recon, and secure coding while keeping things ethical and scoped. Think critically, use real sources only, and reference OWASP.

Use when creating custom, interactive data visualizations with D3.js—building bar/line/scatter charts from scratch, creating network diagrams or geographic maps, binding changing data to visual elements, adding zoom/pan/brush interactions, animating chart transitions, or when

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or

Build deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML/SVG (and optional PNG) from local data files without external network dependencies. Use when tasks require charts, plots, axes/scales, legends, tooltips, or data-driven SVG output.

Edit dagger.gen.go output, Go templates (object.go.tmpl, defs.go.tmpl), invoke() dispatch,\nSDK interfaces (CodeGenerator, ClientGenerator), `dagger develop`, `dagger client install`.\nKeywords: codegen, SDK, bindings, templates, internal/dagger, dag.*, ModuleMainSrc

Write design proposals for Dagger features. Use when asked to draft, review, or iterate on Dagger design documents, RFCs, or proposals.

Build DAG-based AI pipelines connecting Gradio Spaces, HuggingFace models, and Python functions into visual workflows. Use when asked to create a workflow, build a pipeline, connect AI models, chain Gradio Spaces, create a daggr app, build multi-step AI applications, or

Create dagster pipeline creator operations. Auto-activating skill for Data Pipelines.\nTriggers on: dagster pipeline creator, dagster pipeline creator\nPart of the Data Pipelines skill category. Use when working with dagster pipeline creator functionality. Trigger with phrases

Create daily notes and manage morning, midday, and evening routines. Structure daily planning, task review, and end-of-day reflection. Use for daily productivity routines or when asked to create today's note.

Start your day with a prioritized sales briefing. Works standalone when you tell me your meetings and priorities, supercharged when you connect your calendar, CRM, and email. Trigger with \

Interactive daily standup/meeting update generator. Use when user says 'daily', 'standup', 'scrum update', 'status update', 'what did I do yesterday', 'prepare for meeting', 'morning update', or 'team sync'. Pulls activity from GitHub, Jira, and Claude Code session history.

Get daily motivation with personalized encouragement, goal reminders, and momentum tracking

End-of-day review to capture progress, insights, and plan tomorrow

Automated daily planning and reflection system with morning briefs, wind-down prompts, sleep nudges, and weekly reviews. Use when the user wants to set up a structured daily routine, morning briefings, evening reflection prompts, or weekly planning sessions. Triggers include

Overcome LLM knowledge cutoffs with real-time developer content. daily.dev aggregates articles from thousands of sources, validated by community engagement, with structured taxonomy for precise discovery.

Install, configure, and manage the Claude Code Damage Control security hooks system. Use when user mentions damage control, security hooks, protected paths, blocked commands, install security, or modify protection settings.

Course design consultant based on \

Add dark mode support to components using AI. Use when building theme toggles or retrofitting dark mode.

Audit SCSS and TSX files for dark mode issues — missing variable usage, hardcoded colors, icon gaps, selector misuse, and inline dark overrides outside the theme folder

Add dark mode support to components. Use when implementing dark theme.

DART build system knowledge - CMake, pixi, dependencies, troubleshooting

DART CI/CD troubleshooting - GitHub Actions, cache debugging, platform-specific failures

DART contribution workflow - branching, PRs, code review, dual-PR for bugfixes

DART model loading - URDF, SDF, MJCF, SKEL parsers and dart::io unified API

DART Python bindings (dartpy) - nanobind, wheel building, API patterns

DART testing patterns - unit tests, integration tests, CI validation

Create interactive analytics dashboards with React components from drizzle-cube/client. Use when building dashboards, configuring portlets, setting up grid layouts, or creating analytics UIs with drizzle-cube React components.

A skill that should be invoked whenever a user wants to build a Dashboard or simple app. This skill is Phase 2 of an e2e process that covers the actual build and testing. For Phase 1 (requirements, layout design, visualization selection), use the dashboard-design skill.

Create a new screen in the Multi-site Dashboard with automatic route registration

Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.

USE THIS SKILL FIRST when user wants to create and design a dashboard, ESPECIALLY Vizro dashboards. This skill enforces a 3-step workflow (requirements, layout, visualization) that must be followed before implementation. For implementation and testing, use the dashboard-build

Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.

High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.

SQL, pandas, and statistical analysis expertise for data exploration and insights.\nUse when: analyzing data, writing SQL queries, using pandas, performing statistical analysis,\nor when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.

Analyze datasets and extract insights. Use when user needs to understand data patterns, statistics, or trends.

Process data augmentation pipeline operations. Auto-activating skill for ML Training.\nTriggers on: data augmentation pipeline, data augmentation pipeline\nPart of the ML Training skill category. Use when working with data augmentation pipeline functionality. Trigger with

Process data catalog updater operations. Auto-activating skill for Data Pipelines.\nTriggers on: data catalog updater, data catalog updater\nPart of the Data Pipelines skill category. Use when working with data catalog updater functionality. Trigger with phrases like \

Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation

Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts.\nBOOTSTRAP MODE - Triggers: \

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.

ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.

Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers, or deciding which dimensions to analyze.