prompt-eval-builder
Domain knowledge for extracting eval assertions and generating test invocation prompts from command/agent specs. Used for building promptfoo evaluation configs.
浏览 rp1-run 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。
已收录技能
9收录技能的仓库 Stars 合计
83仓库 Forks
9平均每个技能的仓库 Stars
9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。
Domain knowledge for extracting eval assertions and generating test invocation prompts from command/agent specs. Used for building promptfoo evaluation configs.
Creates and updates Claude Code skills following best practices. Guides through requirements gathering, design, content generation, and validation. Handles both new skill creation and refactoring existing skill...
Extract comment locations from code files for analysis. Use when cleaning comments, auditing code documentation, or analyzing comment patterns. Supports Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, Ru...
Write maximally terse agent prompts from scratch. Use when creating new agent specs, command prompts, or instruction sets. Teaches structure-first composition with compression-by-default patterns.
Create, validate, and troubleshoot Mermaid.js diagrams. Use when generating flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, state diagrams, or any visualization. Handles diagram valida...
Isolated git worktree workflow for coding agents. Handles worktree creation, atomic commits, branch publishing, optional PR creation, and cleanup. Use when implementing code changes that need branch isolation....
Generate browser-viewable HTML previews from markdown, plain text, and Mermaid diagrams. Auto-validates diagrams, applies professional styling, and opens in default browser. Use when agents need to preview docu...
Provides reusable templates for generating comprehensive codebase knowledge bases including architecture diagrams, concept maps, and module documentation. Supports both single-project and monorepo structures. U...
A sample skill for testing - must be at least 20 characters
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。