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2개 GitHub 저장소에서 수집된 7개 skills를 저장소 단위로 보여줍니다.
수집된 skill 수가 많은 주요 저장소와 이 제작자 카탈로그 내 비중, 직업 분포를 보여줍니다.
Systematically investigate a bug or unexpected behaviour to identify the root cause
Improve the structure of existing code without changing its external behaviour
Use a notes file in your workspace as working memory during a task
Perform a structured, constructive code review of the provided changes
Summarize arXiv paper intelligence digests for ML, AI, foundation/foundation models, LLMs, post-training, agentic workflows, evals, harness engineering, loop engineering, recursive self-improvement, and self-improving systems. Use when asked to run or interpret the loopcraft arXiv workflow, prepare a daily paper digest, or identify the most interesting recent arXiv submissions.
Triage and summarize everything aimed at the operator on Slack — @mentions, DMs, group DMs, and a configured list of high-signal channels — into a single digest grouped by theme, led by a high-level topic overview. Observe-only: never send a message.
Summarize X/Twitter intelligence digests for ML, AI, frontier/foundation model practice, agents, evals, tool use, harness engineering, loop engineering, and loopcraft. Use when asked to run or interpret the loopcraft X intelligence workflow, prepare a daily Codex automation report from X posts, highlight frontier-lab posts, discover follow candidates, or extract direct links from X posts and linked external articles/blogs/papers.