원클릭으로
TemplateBench
TemplateBench에는 atebites-hub에서 수집한 skills 3개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Manage task memories using TCREI framework for tracking progress, decisions, and lessons. Use when planning tasks, starting work, conducting searches, receiving user feedback, or completing todos. Triggers on task lifecycle events.
Use sequential thinking to reason through code implementations before writing. Invoke after planning but before editing code. References core documents in /docs/agents/ for project alignment. Triggers on "implement feature", "refactor", "architectural decision", or complex code changes.
You are operating as a Recursive Language Model (RLM). Bootstrap this skill at the start of every chat to activate a persistent Python REPL session. Use it throughout the session to explore, slice, and reason over the codebase programmatically — the way the RLM paper intended. Variables and computed state survive across every execute_code call, giving you a stateful workspace that compounds understanding across the entire conversation. Always prefer this over re-reading files or re-explaining context you have already loaded.