implement-feature
Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
142 skills found
Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Master Rust async programming with Tokio, including tasks, channels, streams, error handling, and production-grade concurrency patterns.
Expert Swift Concurrency review, diagnostics, and remediation for Swift 6.2+ codebases, focusing on actor isolation, Sendable safety, and modern concurrency patterns.
Orchestrate Codex CLI for efficient parallel coding, task automation, and session-managed workflows to optimize token usage and development speed.
Architect multi-agent systems to overcome context limits, using patterns like supervisor, swarm, and hierarchical models to manage complex workflows.
Navi programming language expert. Use for writing Navi code, debugging, implementing concurrency, handling error states, and managing Navi's type system or module integrations.
Expert Swift code review for macOS/iOS. Detects memory leaks, threading bugs, concurrency issues, and accessibility gaps using parallel analysis agents.
Orchestrate complex workflows by coordinating multiple specialized AI agents for multi-perspective code analysis, feature implementation, and system-wide reviews.
Accelerate Go application startup with parallel compile-time dependency injection. Optimize slow services, replace google/wire, and manage async dependencies with kessoku.
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.
Orchestrate multi-agent swarms using agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Ideal for building distributed AI systems and scaling complex development workflows.