Claude-Code-Workflow/.claude/commands/memory/load-skill-memory.md

name, description, argument-hint, allowed-tools

name	description	argument-hint	allowed-tools
load-skill-memory	Manually activate specified SKILL package and load documentation based on task intent	<skill_name> "task intent description"	Bash(*), Read(*), Skill(*)

Memory Load SKILL Command (/memory:load-skill-memory)

1. Overview

The memory:load-skill-memory command manually activates a specified SKILL package and intelligently loads documentation based on user's task intent. The system automatically determines which documentation files to read based on the intent description.

Core Philosophy:

• Manual Activation: User explicitly specifies which SKILL to activate
• Intent-Driven Loading: System analyzes task intent to determine documentation scope
• Intelligent Selection: Automatically chooses appropriate documentation level and modules
• Direct Context Loading: Loads selected documentation into conversation memory

When to Use:

• Manually activate a known SKILL package for a specific task
• Load SKILL context when system hasn't auto-triggered it
• Force reload SKILL documentation with specific intent focus

Note: Normal SKILL activation happens automatically via description triggers. Use this command only when manual activation is needed.

2. Parameters

• <skill_name> (Required): Name of SKILL package to activate

  • Example: hydro_generator_module, Claude_dms3
  • Must match directory name under .claude/skills/

• "task intent description" (Required): Description of what you want to do

  • Analysis tasks: "分析builder pattern实现", "理解参数系统架构"
  • Modification tasks: "修改workflow逻辑", "增强thermal template功能"
  • Learning tasks: "学习接口设计模式", "了解测试框架使用"

3. Execution Flow

Step 1: Activate SKILL and Analyze Intent

Activate SKILL Package:

Skill(command: "${skill_name}")

What Happens After Activation:

1. If SKILL exists in memory: System reads .claude/skills/${skill_name}/SKILL.md
2. If SKILL not found in memory: Error - SKILL package doesn't exist
3. SKILL description triggers are loaded into memory
4. Progressive loading mechanism becomes available
5. Documentation structure is now accessible

Intent Analysis: Based on task intent description, system determines:

• Action type: analyzing, modifying, learning
• Scope: specific module, architecture overview, complete system
• Depth: quick reference, detailed API, full documentation

Step 2: Intelligent Documentation Loading

Loading Strategy:

The system automatically selects documentation based on intent keywords:

1. Quick Understanding ("了解", "快速理解", "什么是"):

   • Load: Level 0 (README.md only, ~2K tokens)
   • Use case: Quick overview of capabilities

2. Specific Module Analysis ("分析XXX模块", "理解XXX实现"):

   • Load: Module-specific README.md + API.md (~5K tokens)
   • Use case: Deep dive into specific component

3. Architecture Review ("架构", "设计模式", "整体结构"):

   • Load: README.md + ARCHITECTURE.md (~10K tokens)
   • Use case: System design understanding

4. Implementation/Modification ("修改", "增强", "实现"):

   • Load: Relevant module docs + EXAMPLES.md (~15K tokens)
   • Use case: Code modification with examples

5. Comprehensive Learning ("学习", "完整了解", "深入理解"):

   • Load: Level 3 (All documentation, ~40K tokens)
   • Use case: Complete system mastery

Documentation Loaded into Memory: After loading, the selected documentation content is available in conversation memory for subsequent operations.

4. Usage Example

User Command:

/memory:load-skill-memory my_project "修改认证模块增加OAuth支持"

Execution:

// Step 1: Activate SKILL
Skill(command: "my_project")

// Intent Analysis
Keywords: ["修改", "认证模块", "增加", "OAuth"]
Action: modifying (implementation)
Scope: auth module + examples

// Step 2: Load documentation based on intent
Read(.workflow/docs/my_project/auth/README.md)
Read(.workflow/docs/my_project/auth/API.md)
Read(.workflow/docs/my_project/EXAMPLES.md)

5. Intent Keyword Mapping

Quick Reference:

• Triggers: "了解", "快速", "什么是", "简介"
• Loads: README.md only (~2K)

Module-Specific:

• Triggers: "XXX模块", "XXX组件", "分析XXX"
• Loads: Module README + API (~5K)

Architecture:

• Triggers: "架构", "设计", "整体结构", "系统设计"
• Loads: README + ARCHITECTURE (~10K)

Implementation:

• Triggers: "修改", "增强", "实现", "开发", "集成"
• Loads: Relevant module + EXAMPLES (~15K)

Comprehensive:

• Triggers: "完整", "深入", "全面", "学习整个"
• Loads: All documentation (~40K)