dev-ralph-loop
Per-task ralph loop pattern for implementation and debugging. One loop per task, not one loop per feature.
claude-code-reference
Reference guide for Claude Code extensions. CONSULT BEFORE implementing skills, creating hooks, slash commands, or MCP servers. Use when building Claude Code extensions, understanding extension differences, or troubleshooting extension issues. Covers skills vs commands vs hooks vs MCP disambiguation.
openspec-implementation
Implements approved specification proposals by working through tasks sequentially with testing and validation. Use when implementing changes, applying proposals, executing spec tasks, or building from approved plans. Triggers include "openspec implement", "implement", "apply change", "execute spec", "work through tasks", "build feature", "start implementation".
implement
Autonomously implement tasks from specs, plans, or issues using subagents with TDD and code review
domain-review-before-implementation
BEFORE dispatching any implementation agent or starting to code - if you're about to write "Task(subagent_type=..., prompt=...)" for implementation, or about to implement a plan yourself, STOP and review first. The prompt you're about to send IS a brief - review it for design flaws before the agent implements garbage.
making-plans
Use when design is complete and you need detailed implementation tasks - breaks epics into coarse-grained Beans issues with TDD guidance, exact file paths, and verification steps
rails-project-manager
Project management skill that analyzes tasks, breaks them down into stages, coordinates other skills, and ensures proper workflow. Use when planning features, managing complex multi-step implementations, or need help organizing development tasks. Routes work to specialized skills (testing, security, components, etc.).
spec-driven-development
Systematic three-phase approach to feature development using Requirements, Design, and Tasks phases. Transforms vague feature ideas into well-defined, implementable solutions that reduce ambiguity, improve quality, and enable effective AI collaboration.
