5 件 ・ 関連度順
概要と使いどころ
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
日本語の概要は準備中です。原文の説明を表示しています。
Unify metrics, logs, and traces for cohesive debugging. Implement exemplars for log-to-trace linking, build unified dashboards using RED/USE methods, and enable rapid root cause analysis across observability signals. Use when investigating complex incidents spanning multiple systems, reducing mean time to resolution, implementing distributed tracing, or moving from siloed tools to a unified observability platform.
日本語の概要は準備中です。原文の説明を表示しています。
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
日本語の概要は準備中です。原文の説明を表示しています。
Refreshes README structure favoring concision (an index, not a manual). Use when the README needs a structural update after significant project changes.
日本語の概要は準備中です。原文の説明を表示しています。
Knowledge base from MIL-STD-40051-2C (15 Dec 2015), Preparation of Digital Technical Information for Page-Based Technical Manuals. Use for TM/TDP structure, work packages, front/back matter, style/format, warnings/HAZMAT, change packages, content selection matrices, and plate exemplars. Primary Training & Documentation pack (cluster 25) with Ops & Maintenance procedure use—page-based (-2C) only, not IETM 40051-1.
日本語の概要は準備中です。原文の説明を表示しています。