AI Skills

Automate WhatsApp mass messaging, group marketing, and TikTok/Instagram follower extraction for targeted outreach campaigns

Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.

When the user wants to optimize videos for Google Search, video sitemap, VideoObject schema, or video SEO on websites. Also use when the user mentions "video SEO," "video sitemap," "VideoObject," "video thumbnail," "video indexing," "video preview," "key moments," "Clip schema," or "embedded video optimization." For page template, use article-page-generator.

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.

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Use when building with CopilotKit — setup, development, integrations, debugging, upgrading, or contributing. Routes to the appropriate specialized skill based on the task.

This skill should be used when the user asks to "provide liquidity", "create LP position", "add liquidity to pool", "become a liquidity provider", "create v3 position", "create v4 position", "concentrated liquidity", "set price range", or mentions providing liquidity, LP positions, or liquidity pools on Uniswap. Generates deep links to create positions in the Uniswap interface.

Configure HUD display options (layout, presets, display elements)

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Expert technical writing guidelines for creating clear, in-depth developer tutorials and documentation with practical, implementable knowledge

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AI co-worker agent with its own computer, persistent memory, self-evolution, MCP server, and Slack/email identity built on Claude Agent SDK

Complete guide for setting up and handling Dodo Payments webhooks for real-time payment event notifications.

Quality review and audit for Claude Code skills. Analyzes skill structure, description quality, workflow design, token efficiency, and anti-patterns against best practices. Use when user wants to review a skill, audit a skill, check skill quality, evaluate a skill, critique a skill, lint a skill, or validate a skill. Triggers: 'review skill', 'audit skill', 'skill quality', 'check my skill', 'evaluate skill', 'skill lint', 'validate skill', 'skill review', 'is this skill good', 'improve this skill'.

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

Systematic Fishbone analysis exploring problem causes across six categories

Agent memory management — cloud backup, restore, and local vector search of .md memory files

Expert in building products that wrap AI APIs (OpenAI, Anthropic,

Dune CLI for querying blockchain and on-chain data via DuneSQL, searching decoded contract tables, managing saved queries, managing visualizations, managing dashboards, and monitoring credit usage on Dune. Use when user asks about blockchain data, on-chain analytics, token transfers, DEX trades, smart contract events, wallet balances, Ethereum/EVM chain queries, DuneSQL, visualizations, charts, dashboards, or says \"query Dune\", \"search Dune datasets\", \"run a Dune query\", \"create a dashboard\", or \"manage dashboard\".

When the user wants to add or optimize tab or accordion components for content organization. Also use when the user mentions "tab component," "accordion," "expandable content," "collapsible sections," "tabbed content," "FAQ accordion," "how-to tabs," "horizontal tabs," "vertical accordion," "content in tabs," "hidden content SEO," "details summary," or "disclosure widget." For FAQ content, use faq-page-generator. For HowTo step sections (schema, placement), use howto-section-generator.

React component testing with React Testing Library, Vitest/Jest, MSW for network mocking, accessibility assertions with axe, and the decision boundary between component tests and Playwright/Cypress end-to-end runs. Use when writing or fixing tests for React components, hooks, or pages.

Generate comprehensive product requirements documents. Use when starting a new feature or product initiative and need structured documentation.

Facilitate a read-only standup across git worktrees, branches, or PRs to compare changes and produce one consolidation plan.

Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.

Review files for compliance with Web Interface Guidelines.

Creates jaw-dropping, production-ready frontend interfaces AND delivers perfectly matched real photos (Unsplash/Pexels direct links) OR flawless custom image-generation prompts for hero images, backgrounds, and illustrations. Zero AI slop, zero fake URLs.

Automated social media mass messaging and group marketing system for WhatsApp, Instagram, and TikTok customer acquisition

Create a new built-in evlog enricher to add derived context to wide events. Use when adding a new enricher (e.g., for deployment metadata, tenant context, feature flags, etc.) to the evlog package. Covers source code, tests, and all documentation.

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

Creates PRDs using persistent file-based planning. Use when user explicitly says "PRD", "product requirements document", or "产品需求文档". Combines PRD methodology with planning-with-files to avoid context switching.