wolf-workflows
Workflow templates for orchestrating multi-agent development processes (feature, security, bugfix)
Discover databases architecture patterns skills, compare source repositories and read the instructions for each workflow.
Workflow templates for orchestrating multi-agent development processes (feature, security, bugfix)
Design complete technology stack and system architecture from project requirements - generates TECH-STACK.md with frontend/backend/database/DevOps choices plus rationale, and ARCHITECTURE.md with components, da...
AI-powered task graph generator for complex software development goals. Creates optimal dependency graphs showing what to build, in what order, with parallelization opportunities. Use when user mentions plannin...
Provide analysis and recommendations for error handling patterns, Sentry integration, and error monitoring strategies - ANALYSIS-ONLY skill that provides guidance without modifying code
Automates Bubble Tea TUI design by analyzing requirements, mapping to appropriate components from the Charmbracelet ecosystem, generating component architecture, and creating implementation workflows. Use when...
Structured multi-step reasoning for complex problems using MCP. Use this skill when facing architectural decisions, performance bottlenecks, complex debugging, system design challenges, or any problem requiring...
Deployment procedures, health checks, and rollback strategies. Use this skill when deploying applications, performing health checks, managing releases, or handling deployment failures. Provides systematic deplo...
Reviews code architecture for hexagonal patterns, checks dependency directions, and suggests improvements for ports and adapters separation. Activates when users work with services, repositories, or architectur...
Provides guidance on reducing Lambda cold start times through binary optimization, lazy initialization, and deployment strategies. Activates when users discuss cold starts or deployment configuration.
Guides users in creating rich domain models with behavior, value objects, and domain logic. Activates when users define domain entities, business rules, or validation logic.
Comprehensive library of testing patterns, best practices, and templates for unit, integration, and end-to-end tests across frameworks
Wolf's 10 core principles for agent behavior and system design
Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, and lakehouse patterns. Activates when users discuss data lake architecture, partitioning,...
Structured approach to handling production incidents, from detection through resolution and post-mortem analysis
Four-level instruction cascading system (Global → Domain → Project → Role) with priority-based conflict resolution
Guides users on modern async patterns including native async fn in traits, async closures, and avoiding async-trait when possible. Activates when users work with async code.
Guides users on choosing between async and sync patterns for Lambda functions, including when to use tokio, rayon, and spawn_blocking. Activates when users write Lambda handlers with mixed workloads.
Multi-agent parallel investigation for complex VCV Rack problems
Suggest LCMP compaction when explicitly requested - provides guidance on promoting durable information to decisions.md, insights.md, and gotchas.md without auto-compaction
Modern coding patterns for clean, maintainable code - use before implementing complex logic; includes orchestration, pure functions, function decomposition, vertical slice, composition, DI, SOLID, anti-patterns...
Master Entity Framework Core migrations with code-first approach, migration strategies, data seeding, rollback procedures, and production deployment patterns. Use when managing database schema changes in .NET a...
Split features into atomic 2–4h tasks with independent tests and minimal dependencies
Helps design port traits and adapter implementations for external dependencies. Activates when users need to abstract away databases, APIs, or other external systems.
Science-backed techniques for maintaining deep focus, managing distractions, and maximizing productive coding sessions
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.