Curated collection of AI development skills for Claude Code and compatible agents
Comprehensive n8n workflow automation skills including expressions, node configuration, code nodes, and MCP integration
Implement JavaScript logic in n8n Code nodes with $input, $json, $node, and $helpers APIs. Includes HTTP requests, Luxon DateTime operations, error debugging, and mode selection (Run Once vs Run for Each). Engage for custom data transformations or complex business logic.
Develop Python logic within n8n Code nodes using _input, _json, and _node accessors. Covers standard library usage, execution constraints, and when Python is preferable over JavaScript. Activate for Python-specific transformations or data processing in workflows.
Navigate the n8n-mcp server's 40+ tools for node discovery, configuration validation, template access, and workflow management. Covers tool selection strategy, parameter formatting, and integration patterns. Consult when building workflows programmatically via MCP.
Configure n8n nodes with operation-specific guidance and property dependencies. Explains required versus optional fields, progressive disclosure with get_node_essentials, and established patterns for common node types. Invoke when setting up nodes or debugging missing parameters.
Diagnose and resolve n8n workflow validation failures including warnings, false positives, and structural issues. Explains validation profiles, iterative fix cycles, and error categorization. Engage when validation blocks workflow execution or produces confusing results.
Battle-tested architectural blueprints derived from production n8n deployments. Covers webhook handlers, REST API integrations, database pipelines, AI agent orchestration, and scheduled automation. Reference when designing new workflows or selecting the right pattern for your use case.
Claude development skills: Agent SDK reference, skill creation, slash command creation, and Opus prompting techniques
Author high-quality Claude Code skills with proper frontmatter, trigger-optimized descriptions, progressive disclosure structure, and MCP tool integration. Includes file organization patterns, testing approaches, and performance tuning. Consult when building new skills, debugging activation issues, or refactoring existing skill content.
Tune prompts specifically for Claude Opus 4.5's literal instruction-following behavior. Covers system prompt optimization, migration from earlier Claude versions, debugging unexpected outputs, and agentic workflow patterns. Apply when crafting Opus prompts, adapting 3.x/4.0 prompts, or designing autonomous agent instructions.
Author custom Claude Code slash commands as reusable Markdown prompt templates. Covers frontmatter configuration, argument handling, variable substitution, and workflow automation patterns. Invoke when designing new commands, debugging command syntax, or converting repetitive prompts into reusable shortcuts.
Python development skills covering CLI engineering, data pipelines, and terminal UI development with Textual
Construct rich terminal interfaces using Textual for multi-pane dashboards with CSS styling and Python Prompt Toolkit for interactive line editing with completions. Covers widget composition, key bindings, TUI testing strategies, and WSL2 layout quirks. Engage when building IDE-style interfaces, REPL shells, or dashboard applications.
Engineer production-grade Python CLI tools with UV for package management, Ruff for linting, Pyright for strict typing, Typer for commands, and Rich for polished output. Addresses fail-fast patterns, pydantic-settings configuration, modular code organization, and professional UX conventions. Apply when creating admin utilities, data processors, or developer tooling.
Implement data pipelines with SQLAlchemy 2.0 patterns (TypeDecorator, hybrid properties, events) and warehouse architectures (Kimball star schemas, medallion layers, SCD handling). Covers ETL/ELT design, dim_/fact_/stg_ conventions, and orchestration with dbt, Airflow, or Dagster. Reference for API-to-database flows or dimensional modeling with Python and PostgreSQL.
Quality assurance agents for test planning, automated validation, quality gate enforcement, and coverage analysis
Documentation suite implementing the Diataxis framework with dedicated agents for tutorials, how-to guides, explanations, and reference materials
User experience agents for interface optimization, accessibility validation, and WCAG compliance verification
Design and documentation toolkit with agents for creating system architectures, C4 diagrams, ADRs, and conducting quality analysis
Requirements gathering agents for product discovery, technical specifications, stakeholder interviews, and build-vs-buy analysis
No verified skills in this plugin.
Security assessment agents for vulnerability scanning, compliance validation, code auditing, and remediation guidance
No verified skills in this plugin.
Test-driven development agents enforcing red-green-refactor methodology with comprehensive test generation and quality validation
No verified skills in this plugin.
Systematic debugging agents with structured problem-solving workflows and collaborative escalation mechanisms
No verified skills in this plugin.
Specialized agents for agile methodology support including sprint facilitation, backlog management, requirements analysis, and delivery coordination
No verified skills in this plugin.
Tools for examining legacy codebases, assessing technical debt, evaluating technology options, and documenting undocumented systems
No verified skills in this plugin.
Release management agents for orchestrating deployments, ensuring compliance, and implementing progressive rollout strategies
No verified skills in this plugin.
Structured development methodology agents supporting the Explore-Plan-Code-Commit cycle from initial discovery through final delivery
No verified skills in this plugin.
Performance engineering toolkit with agents for profiling, bottleneck identification, optimization planning, and monitoring setup
No verified skills in this plugin.