Use bdg CLI for browser automation via Chrome DevTools Protocol. Provides direct CDP access (60+ domains, 300+ methods) for DOM queries, navigation, screenshots, network control, and JavaScript execution. Use this skill when you need to automate browsers, scrape dynamic content, or interact with web pages programmatically.
Use when creating or improving Claude Code agents. Expert guidance on agent file structure, frontmatter, persona definition, tool access, model selection, and validation against schema.
Use when working with rEFui (refui) applications where you cannot rely on reading the library source. Covers the retained-mode + signals mental model, DOM/HTML/Reflow renderers, JSX setup (classic pragma vs automatic runtime), directives (on:/class:/style:/attr:/prop:/m: macros), HMR via refurbish/refui/hmr, debugging “UI not updating” issues, and migrating React/Vue/Solid/Svelte patterns to rEFui.
Specialized in reverse-engineering compiled binaries (JARs, DLLs). Use this when the user asks to compare versions, find security fixes, or analyze binary patches.
Solve CTF (Capture The Flag) challenges by analyzing challenge descriptions, source code, and interacting with challenge environments to capture flags.
Use this skill whenever working with PostgreSQL databases, writing SQL queries, designing schemas, or optimizing database performance. Trigger on keywords like PostgreSQL, Postgres, SQL query, schema design, indexing, migrations, EXPLAIN ANALYZE, connection pooling, or any relational database operation. Also applies when debugging slow queries, setting up database tables, or working with ORMs that target PostgreSQL.
Optimizes Snowflake SQL query performance from provided query text. Use when optimizing Snowflake SQL for: (1) User provides or pastes a SQL query and asks to optimize, tune, or improve it (2) Task mentions "slow query", "make faster", "improve performance", "optimize SQL", or "query tuning" (3) Reviewing SQL for performance anti-patterns (function on filter column, implicit joins, etc.) (4) User asks why a query is slow or how to speed it up
Optimizes Snowflake query performance using query ID from history. Use when optimizing Snowflake queries for: (1) User provides a Snowflake query_id (UUID format) to analyze or optimize (2) Task mentions "slow query", "optimize", "query history", or "query profile" with a query ID (3) Analyzing query performance metrics - bytes scanned, spillage, partition pruning (4) User references a previously run query that needs optimization Fetches query profile, identifies bottlenecks, returns optimized SQL with expected improvements.
Finds and ranks expensive Snowflake queries by cost, time, or data scanned. Use when: (1) User asks to find slow, expensive, or problematic queries (2) Task mentions "query history", "top queries", "most expensive", or "slowest queries" (3) Analyzing warehouse costs or identifying optimization candidates (4) Finding queries that scan the most data or have the most spillage Returns ranked list of queries with metrics and optimization recommendations.
Develops and troubleshoots dbt incremental models. Use when working with incremental materialization for: (1) Creating new incremental models (choosing strategy, unique_key, partition) (2) Task mentions "incremental", "append", "merge", "upsert", or "late arriving data" (3) Troubleshooting incremental failures (merge errors, partition pruning, schema drift) (4) Optimizing incremental performance or deciding table vs incremental Guides through strategy selection, handles common incremental gotchas.
Comprehensive error handling patterns for Python and TypeScript applications. Use this skill whenever writing try/catch blocks, creating custom error classes, implementing retry logic, designing error boundaries in React, building API error responses, or handling failures gracefully. Trigger for any code dealing with exceptions, error propagation, graceful degradation, or fault tolerance.
Trigger this skill whenever working with Python files (.py), writing Python scripts or applications, or using Python frameworks like Django, FastAPI, or Flask. Activate for any Python-specific patterns including type hints, async/await with asyncio, dataclasses, Pydantic models, context managers, virtual environments, or PEP 8 style questions. Also use when the user references Python package management, pip, or pyproject.toml.
Trigger this skill whenever a multi-step implementation task needs to be broken down before coding begins. Activate for keywords like "plan", "break down", "implementation steps", "task list", "how to implement", "write a plan", or when a feature spans multiple files or components. Also trigger when handing off work to another developer, when the user says "let's plan this out", or when a task is complex enough that jumping straight to code would be risky. If in doubt, plan first.
Trigger this skill whenever working with JavaScript files (.js, .mjs, .cjs), writing Node.js applications without TypeScript, or using ES6+ patterns like destructuring, async/await, optional chaining, and modules. Activate for browser scripting, vanilla JS projects, or when the user asks about JavaScript-specific idioms, ESLint configuration, or modern syntax. Also use when dealing with package.json scripts, CommonJS vs ESM, or JavaScript class patterns.
Use when architecturalizing protocols, developing smart contracts, or auditing security for blockchain systems.
Perform comprehensive competitor analysis for any business. Produces an executive-summary markdown report with target customer profile, market positioning, pricing/business model, product features, funding/company size, SWOT analysis, and competitive matrix. All findings are data-grounded. Use when the user asks to analyze competitors, understand competitive landscape, compare a business to alternatives, or perform market research.
