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openclaw-starter-kit
openclaw-starter-kit에는 stukennedy에서 수집한 skills 2개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
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.
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.