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context-hierarchy-design上下文层次结构设计

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

291

周安装

12

GitHub Stars

61

下载量

95
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:context-hierarchy-design(上下文层次结构设计)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/context-hierarchy-design
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill context-hierarchy-design
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 context-hierarchy-design

简介

设计三层内存架构:CLAUDE.md 最小常驻 + 任务 priming + 文件按需加载。

  • 根据任务类型动态加载上下文,避免启动延迟和资源浪费。
  • 适用于多任务类型项目和团队协作场景。context-hierarchy-design 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需合理规划各层内容粒度,否则可能仍出现冗余加载。
  • 建议配合 /context-budget 使用,持续优化层级结构。

SKILL.md

Context Hierarchy Design Skill

Design a memory hierarchy that loads context progressively based on task needs.

Purpose

Not all context is needed all the time. A well-designed hierarchy ensures agents get exactly the context they need without bloat.

When to Use

  • Setting up a new project's context infrastructure
  • Refactoring bloated CLAUDE.md files
  • Creating task-specific context loading
  • Optimizing agent startup time
  • Scaling context for multiple task types

The Three-Tier Memory Strategy

Tier 1: CLAUDE.md (minimal, always loaded)
        |
        v
Tier 2: Priming Commands (task-specific, on-demand)
        |
        v
Tier 3: File Reads (just-in-time, as needed)

Design Process

Step 1: Audit Current State

Analyze existing context infrastructure:

  1. Measure CLAUDE.md size
  2. Count imports and their sizes
  3. Review command coverage
  4. Identify task types
Checklist:
- [ ] CLAUDE.md token count
- [ ] Import count and total
- [ ] Task types identified
- [ ] Command coverage mapped

Step 2: Categorize Context

For each piece of existing context, ask:

QuestionIf Yes ->
Needed for EVERY task?Tier 1 (CLAUDE.md)
Needed for task TYPE?Tier 2 (Priming)
Needed for specific work?Tier 3 (On-demand)

Step 3: Design Tier 1 (CLAUDE.md)

Minimal essentials only:

# Project Name

## Context
One-sentence project description.

## Tooling
- Language: X
- Runtime: Y
- Package Manager: Z

## Key Commands
- `cmd test` - Run tests
- `cmd build` - Build project

## Critical Rules
1. Most important rule
2. Second most important
3. Third most important (max 5)

Target size: less than 2KB.

Step 4: Design Tier 2 (Priming Commands)

Create commands for each task type:

Task TypeCommandContext Loaded
General/primeREADME, git status
Bug Fix/prime-bugRecent commits, test files
Feature/prime-featureArchitecture, API patterns
Review/prime-reviewStyle guide, PR diff
Docs/prime-docsExisting docs, API surface

Priming Command Template:

# Prime: [Task Type]

## Run
[Discovery commands for current state]

## Read
[Essential files for this task type]

## Report
[Summary prompt for understanding]

Step 5: Design Tier 3 (On-Demand)

Identify files loaded during work:

CategoryLoading Strategy
Source filesRead specific file when editing
Test filesRead when running tests
ConfigsRead when configuring
DependenciesRead when debugging deps

Principle: Never pre-load what can be loaded on-demand.

Output Format

Design document structure:

# Context Hierarchy Design: [Project]

## Tier 1: CLAUDE.md (Always Loaded)

**Target Size:** <2KB
**Content:**
- Project context (1 sentence)
- Tooling (language, runtime, PM)
- Key commands (3-5)
- Critical rules (3-5)

## Tier 2: Priming Commands (Task-Specific)

### /prime
**Purpose:** General codebase understanding
**Loads:** README, git status, project structure

### /prime-bug
**Purpose:** Bug fixing context
**Loads:** Recent commits, test patterns, error logs

### /prime-feature
**Purpose:** Feature development context
**Loads:** Architecture, API patterns, similar features

## Tier 3: On-Demand (Just-in-Time)

**Strategy:** Load during execution, not pre-emptively
- Source files: Read when editing
- Tests: Read when testing
- Configs: Read when configuring

## Migration Plan

1. [ ] Backup current CLAUDE.md
2. [ ] Create minimal CLAUDE.md
3. [ ] Create priming commands
4. [ ] Test with common task types
5. [ ] Iterate based on usage

Design Patterns

Pattern: Import Hierarchy

CLAUDE.md (always)
  -> imports/core.md (always, if large)
  -> imports/tooling.md (conditional)
  -> imports/workflows.md (conditional)

Pattern: Directory-Scoped Memory

/project
  CLAUDE.md (project-wide)
  /frontend
    CLAUDE.md (frontend-specific)
  /backend
    CLAUDE.md (backend-specific)

Pattern: Task-Type Priming

/prime -> Base context
/prime-{type} -> Type-specific context

Validation Criteria

After design, verify:

  • CLAUDE.md under 2KB
  • Every task type has priming command
  • No "just in case" loading
  • Progressive disclosure works
  • Common workflows smooth

Anti-Patterns to Avoid

Anti-PatternProblemSolution
Everything in CLAUDE.mdBloatMove to priming
No priming commandsStatic contextAdd task-type priming
Import everythingWasted tokensConditional imports
Directory CLAUDE.md bloatCompoundingKeep scoped minimal

Key Quote

"Use context priming over CLAUDE.md or similar auto-loading memory files. Engineering work constantly changes, but memory files only grow."

Cross-References

  • @context-priming-patterns.md - Priming command patterns
  • @rd-framework.md - Reduce unnecessary context
  • @context-layers.md - What loads into context
  • @minimum-context-principle.md - Include only what's necessary

Version History

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

Last Updated

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

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