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otrebu AI Skills

GitHub ↗

浏览 otrebu 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

28

收录技能的仓库 Stars 合计

84

仓库 Forks

0

平均每个技能的仓库 Stars

3

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

28 个技能

全部技能

GitHub

prompting

otrebu

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

GitHub

ralph-calibrate

otrebu

Run Ralph calibration checks to analyze intention drift, technical quality, and self-improvement opportunities. Use when user asks to "ralph calibrate", "check drift", "analyze sessions", or needs to verify wor...

GitHub

ralph-status

otrebu

Display Ralph build status and progress. Use when user asks for "ralph status", "build status", "queue status", or wants to see subtask progress and iteration statistics.

GitHub

code-review

otrebu

Orchestrate parallel code review using specialized reviewer agents. Spawns 11 reviewers in parallel, synthesizes findings, and presents for triage. Use when user wants comprehensive multi-agent code review.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。