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diamond-prompts
Help user adapt prompt workflows to Diamond Prompt Runner using Tera prompts, variables, documents, models, and pipelines.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Help user adapt prompt workflows to Diamond Prompt Runner using Tera prompts, variables, documents, models, and pipelines.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | diamond-prompts |
| description | Help user adapt prompt workflows to Diamond Prompt Runner using Tera prompts, variables, documents, models, and pipelines. |
Use this skill to adapt a writing or prompt workflow into Diamond Prompt Runner project files.
Diamond projects are file-first:
.teradocuments/models/documents/ does not automatically become a Tera variable.doc(...) plus section extraction.project.json is the execution manifest, and payload keys must line up with the variable names the prompt actually reads.project.json for the runnable manifest, including projectId, variables, and promptBlocksproject.json exists and includes a UUID-shaped projectId, for example "projectId": "3ba62a39-f7fa-4d95-8fe9-3dfa614c2442".Open only the note you need:
references/core-patterns.md
Core engine rules, file roles, normalization guidance, rolling context, headers, canon-lock, and append-vs-rebuild tradeoffs.
references/sample-projects.md
Concrete patterns drawn from docs/sample-projects/sample-project-2, sample-project-3, and sample-project-4.
references/checklist.md
A short build/review checklist for turning a workflow into a Diamond project.
references/helpers/
Illustrative utility scripts and templates for normalization, headless testing, range runs, and cleanup planning. These are examples to adapt, not drop-in scripts to run unchanged on another machine.
When you help a user build a Diamond workflow, prefer delivering:
Do not tell the user that a raw structured document will be directly available as a prompt variable unless that structure is actually being loaded from variables or deliberately extracted from document text.