Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问clear审计通过

prompt-level-selection提示级别选择

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

242

周安装

10

GitHub Stars

61

下载量

79
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

3

许可证

MIT

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:prompt-level-selection(提示级别选择)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/prompt-level-selection
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill prompt-level-selection
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill prompt-level-selection

简介

根据任务复杂度自动匹配提示词难度等级。

  • 平衡响应速度与准确性之间的取舍关系。
  • 适用于多模态或多步骤推理场景。prompt-level-selection 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需预设各等级对应的提示模板集合。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 实际效果受模型版本和上下文长度影响。

SKILL.md

Prompt Level Selection Skill

Guide selection of the appropriate prompt level for a task using the seven levels framework.

Purpose

Match task complexity to the right prompt level. Start simple, add complexity only when needed.

When to Use

  • Starting a new prompt
  • Upgrading existing prompt
  • Unsure which level fits
  • Teaching prompt engineering

The Seven Levels Quick Reference

LevelNameUse When
1High-LevelSimple repeatable task
2WorkflowSequential steps needed
3Control FlowConditionals or loops
4DelegationMultiple agents needed
5Higher-OrderProcessing other prompts
6Template MetaGenerating prompts
7Self-ImprovingKnowledge accumulation

Decision Tree

Is this a simple, repeatable task?
├── Yes -> Level 1 (High-Level Prompt)
└── No
    |
    Does it need sequential steps?
    ├── Yes -> Does it need conditionals/loops?
    |   ├── Yes -> Does it delegate to agents?
    | |   ├── Yes -> Level 4 (Delegation)
    | |   └── No -> Level 3 (Control Flow)
    |   └── No -> Level 2 (Workflow)
    └── No
        |
        Does it process other prompts?
        ├── Yes -> Level 5 (Higher-Order)
        └── No
            |
            Does it generate prompts?
            ├── Yes -> Level 6 (Template Meta)
            └── No
                |
                Does it need to learn over time?
                ├── Yes -> Level 7 (Self-Improving)
                └── No -> Reassess requirements

The 80/20 Rule

"Levels 3-4 cover 80% of practical use cases."
Level RangeCoverageComplexity
1-240%Low
3-480%Medium (Sweet Spot)
5-720%High

Don't over-engineer. Most tasks fit in Levels 3-4.

Selection Process

Step 1: Understand the Task

Ask:

  • What does this task accomplish?
  • How often will it be repeated?
  • What inputs does it need?
  • What outputs does it produce?

Step 2: Check Complexity Indicators

IndicatorPoints To
One-time or rareLevel 1
Sequential stepsLevel 2+
"If X then Y"Level 3+
"Run N agents"Level 4
"Process this spec file"Level 5
"Create prompts for..."Level 6
"Learn and improve"Level 7

Step 3: Start Low, Upgrade If Needed

  1. Start with lowest applicable level
  2. Build and test the prompt
  3. If insufficient, upgrade one level
  4. Repeat until task is satisfied

Level Selection Examples

Example 1: "Start the dev server"

Analysis: Simple, repeatable, no variables Level: 1 (High-Level Prompt)

Example 2: "Create an implementation plan"

Analysis: Sequential steps, needs input, produces output Level: 2 (Workflow Prompt)

Example 3: "Generate N images with validation"

Analysis: Loop required, conditional checking Level: 3 (Control Flow)

Example 4: "Research topic with 5 parallel agents"

Analysis: Multiple agents, aggregation needed Level: 4 (Delegation Prompt)

Example 5: "Build from this spec file"

Analysis: Accepts another prompt/spec as input Level: 5 (Higher-Order)

Example 6: "Create new slash commands"

Analysis: Generates prompts in specific format Level: 6 (Template Meta Prompt)

Example 7: "Hook expert that learns patterns"

Analysis: Accumulates expertise over time Level: 7 (Self-Improving Prompt)

Output Format

When recommending a level:

## Level Selection

**Task:** [description]

**Recommended Level:** [1-7] ([name])

**Rationale:**
- [reason 1]
- [reason 2]

**Key Sections Needed:**
- [section 1]
- [section 2]

**Alternative Consideration:**
Level [N] if [condition]

Red Flags

Red FlagIssueSolution
Jumping to Level 6-7Over-engineeringStart at Level 2-3
Level 1 for complex taskUnder-engineeringAdd Workflow section
Level 4 for single-agentUnnecessary delegationUse Level 2-3
No clear level fitVague requirementsClarify task scope

Key Quote

"Three times marks a pattern. Copy whatever you're doing and write it as a high level prompt, then move up the levels from there."

Cross-References

  • @seven-levels.md - Detailed level descriptions
  • @prompt-sections-reference.md - Sections for each level
  • @stakeholder-trifecta.md - Communication considerations

Version History

  • v1.0.0 (2025-12-26): Initial release

Last Updated

Date: 2025-12-26 Model: claude-opus-4-5-20251101

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

04

需要参考平台分布和安装热度时

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

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

Antigravity

25.15%
按下载量换算20

trae

21.21%
按下载量换算17

windsurf

19.32%
按下载量换算15

Claude Code

12.32%
按下载量换算10

Codex

7.73%
按下载量换算6

Gemini CLI

3.17%
按下载量换算3

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。

来源信息

继续浏览同类 Skills