openclaw-starter-kit

Build software projects using structured spec-driven development with the Ralph Wiggum pattern. Use when asked to build, implement, or code a project, feature, or application. Covers discovery (requirements gathering), spec generation, AGENTS.md context generation, and autonomous implementation with fresh-context iterations. Supports any language/framework.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Multi-threaded conversation memory organized by topic instead of by date. Enables seamless context switching, compaction resilience, and sub-agent tracking — all file-based, no code changes to OpenClaw. Use when you want your agent to maintain separate conversation threads per project/topic, survive context compaction without losing the thread, track sub-agent spawns with model/task/duration, and output a structured conversation-map.json for visualization clients.