一键导入
recommendation-format
How to deliver research findings as a decision-ready brief. Not a research paper — an actionable answer with trade-offs surfaced.
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。
菜单
How to deliver research findings as a decision-ready brief. Not a research paper — an actionable answer with trade-offs surfaced.
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
Complete reference for the factory CLI — all commands, arguments, options, and usage. Use when an agent needs to invoke factory commands, check correct syntax, or understand available options.
When and how to write a human-action-needed entry to memory/{agent}/needs.md. Agents write these entries when they hit blockers that only a human can resolve.
When you encounter a failure, correction, or new pattern, write a learning and optionally propose a skill.
How the factory workspace is organized and what each directory means.
What to examine during a reflection pass and how to write observations to memory/{agent}/needs.md.
When and how to write scenario holdouts for factory verification.
| name | recommendation-format |
| description | How to deliver research findings as a decision-ready brief. Not a research paper — an actionable answer with trade-offs surfaced. |
Every research output written to tasks/research-done/ must follow this structure:
## Question
{Restate the question you were asked to answer — one sentence}
## Options Considered
{List the options evaluated, even those you ruled out quickly}
## Recommendation
{One clear recommendation — not "it depends" without a resolution}
## Reasoning
{Why this option over the others — specific, not generic}
## Trade-offs
{What you lose by choosing this recommendation over the alternatives}
## Confidence
{High / Medium / Low — and why}
## Sources
{Key sources with dates or versions}
Trade-offs — The most important section for avoiding surprise. A recommendation without trade-offs is an incomplete recommendation.
Confidence — Honest calibration. Low confidence on a minor question is fine. Low confidence on a core architectural choice is a flag to request deeper research or human input.
Stay under 500 words. If you need more, the question is too broad — narrow it first.