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compound-eng-refine-prompt复合工程优化提示

Agent Skill

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

总安装

9,769

周安装

403

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下载量

3,192
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:compound-eng-refine-prompt(复合工程优化提示)
来源仓库:https://github.com/iliaal/compound-eng-refine-prompt
安装命令:
openclaw skills install compound-eng-refine-prompt
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install compound-eng-refine-prompt

简介

compound-eng-refine-prompt 将模糊提示转化为结构化 AI 指令,提升任务精准度。

  • 适用于 OpenClaw 中完善系统提示、优化 Agent 行为约束或使用工作流模板时使用。
  • 支持拆分操作步骤、定义输出格式与设置失败回退机制。
  • 安装需保留真实业务约束,避免将示例当作硬规则套用。
  • 涉及自动执行或外部调用时应显式声明权限边界与确认步骤,防止误操作。

SKILL.md

name
ia-refine-prompt
class
meta
description
>-

Refining Prompts

Process

  1. Assess -- Identify what the prompt is missing:
ElementCheck
TaskIs the core action explicit and unambiguous?
ConstraintsAre length, format, tone, and scope defined?
Output formatDoes it specify the expected structure?
ContextDoes the model have enough background to act? Check: audience, input format, success criteria, scope boundaries, technical constraints
ExamplesWould a demonstration clarify the expected output?
Edge casesAre failure modes and boundary conditions addressed?
  1. Rewrite -- Transform into specification language: precise, imperative, no filler. Treat the prompt as a spec, not conversation.
  1. Validate -- Check the rewrite against the assessment table. Every gap identified in step 1 must be addressed.

Rules

  • Length: 0.75x–1.5x the original. Conciseness is a feature -- add only what's missing, cut what's vague.
  • Never invent -- only use information present in the original prompt or conversation context. If critical info is missing, ask instead of assuming.
  • Instruction hierarchy -- order sections by priority: task → constraints → examples → input data → output format. Place the most important instruction first.
  • Progressive complexity -- start with the simplest prompt that could work. Add few-shot examples, chain-of-thought, or role framing only when the task demands it, not by default.
  • Specific verbs -- replace vague actions ("analyze", "process", "handle") with measurable ones ("list the top 3", "classify as A/B/C", "return JSON with keys X, Y").
  • One output format -- specify exactly one format (JSON schema, markdown template, numbered list). Ambiguous format expectations cause inconsistent results.
  • No meta-commentary -- output only the refined prompt as markdown. No preamble ("Here's an improved version..."), no explanation of changes unless explicitly requested.

Persistence

After refining, offer to save the result to .ai/PROMPT.md -- do not write without user confirmation. If approved, append with a heading and date:

## [Prompt Name] -- YYYY-MM-DD

[refined prompt content]

Anti-Patterns

ProblemFix
Vague verbs ("look into", "deal with")Replace with concrete actions ("list", "compare", "extract")
Missing output specAdd explicit format section with example structure
Examples contradict instructionsAlign examples to match every stated rule
Over-engineered from the startStrip to simplest working version, then add complexity only where output quality requires it
Prompt exceeds context with examplesLimit to 2–3 diverse examples; use one simple, one edge case

Constraints

  • Stop refining if the original intent is unclear -- clarify first
  • Do not refine prompts for harmful or illegal tasks

Verify

  • Rewrite addresses every gap identified in the assessment
  • Length ratio within 0.75x-1.5x of original (unless structural change justified)
  • No invented constraints or assumptions not in the original

适合场景

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需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.57%
按下载量换算2,859

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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