Explore our collection of Agent Skills to enhance your AI workflow.
Enforces non-negotiable security protocols and threat mitigation patterns to protect applications from vulnerabilities and credential leaks.
Guides structured technology research, documentation gathering, and systematic framework evaluation within the PACT methodology.
Diagnoses and resolves n8n workflow validation errors, warnings, and structure issues through iterative feedback loops and best-practice guidance.
Simplifies n8n workflow development by providing operation-aware guidance and managing complex property dependencies for node configuration.
Implements comprehensive testing frameworks and quality assurance patterns following the PACT methodology for robust software delivery.
Guides the creation of optimized Python logic within n8n Code nodes using specific data access patterns and return requirements.
Provides persistent, cross-session memory for AI coding agents to track project context, architectural decisions, and lessons learned.
Provides architectural design patterns, C4 diagram templates, and implementation guidelines for the PACT Architect phase.
Simplifies writing, debugging, and optimizing custom JavaScript within n8n Code nodes for seamless workflow automation.
Builds, validates, and manages complex n8n automation workflows using specialized MCP tools and template libraries.
Automates project documentation and maintains actionable task notes within the Flow development framework.
Organizes development plans by managing backlogs and archiving completed phases to maintain focus on active tasks.
Automates project planning and task decomposition using Domain-Driven Design and Agile principles.
Ensures project plan integrity and tracks progress within the Flow framework through automated audits and status summaries.
Guides architectural decision-making and documents system design within the Flow framework to maintain long-term project clarity.
Manages Pinecone Assistants to enable natural language Q&A and document retrieval with automated RAG workflows.
Initializes new development projects, migrates existing documentation, and modernizes project structures using the Flow iterative framework.
Provides a standardized blueprint for developing and documenting custom Claude Code skills within the flow framework.
Standardizes codebase aesthetics and quality by automating code formatting and linting using Prettier and ESLint.
Automates iterative development cycles through structured multi-PRD management and autonomous task execution.
Standardizes the Jira ticket lifecycle through strict template adherence, CLI automation patterns, and contextual research workflows.
Manages persistent project memory and cross-repository context for seamless Claude coding sessions.
Manages software implementation lifecycles through gated checkpoints and systematic verification workflows.
Enforces mandatory branching, commit, and pull request protocols through automated subagent commands to ensure version control consistency.
Facilitates structured brainstorming and architectural decision-making to design features before implementation.
Enforces rigorous completion gates and verification checks for tasks and phases within the Flow development framework.
Connects Claude Code to REST APIs by managing authentication, request headers, and response processing automatically.
Standardizes the development of high-quality SKILL.md files through structured templates, naming conventions, and best practices for enhancing Claude Code capabilities.
Provides technical decision criteria, anti-pattern detection, and standardized quality assurance workflows for frontend development.
Manages Railway deployment lifecycles, log monitoring, and service troubleshooting through the Railway CLI.
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