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refine-prompt细化提示

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

509

周安装

21

GitHub Stars

7

下载量

166
CodexClaudeCursorGemini CLI

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

unknown

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:refine-prompt(细化提示)
来源仓库:https://github.com/iliaal/ai-skills
仓库路径:skills/refine-prompt
安装命令:
npx skills add https://github.com/iliaal/ai-skills --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/iliaal/ai-skills --skill refine-prompt

简介

refine-prompt 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。

  • 适用于提示词工程、工作流设计和 Agent 行为规范制定,尤其适合复杂任务拆解与标准化输出。
  • 通过输入原始提示词或任务描述,输出结构化的改进建议和模块化模板,支持格式校验与逻辑检查。
  • 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。
  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。

SKILL.md

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.
  2. 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

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

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

Codex

34.69%
按下载量换算58

Claude

31.35%
按下载量换算52

Cursor

19.4%
按下载量换算32

Gemini CLI

10.09%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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