Skill Memory / 技能记忆

Self-learning task-to-skill routing table with automatic recording and updating.

自学习型技能记忆表，支持自动记录和更新。

How It Works / 工作机制

1. Check Before Use / 使用前检查

When executing a task, check memory table first:

Task → Look up memory.json → Found? → Use preset params
                              ↓ Not found
                         Use default → Record to memory

2. Auto Record / 自动记录

When using a skill not in memory:

{
  "task_type": "新任务类型",
  "skill": "技能名称",
  "parameters": {...},
  "scenario": "使用场景描述",
  "created_at": "2026-03-27T13:00:00+08:00",
  "usage_count": 1
}

3. Auto Update / 自动更新

When same task type but different scenario/params:

{
  "task_type": "网页截图",
  "skill": "Playwright CDP",
  "parameters": {"resolution": "1920x1080"},  // 新参数
  "scenario": "高清截图",
  "updated_at": "2026-03-27T14:00:00+08:00",
  "usage_count": 5
}

Memory File Location / 记忆文件位置

Memory is stored in workspace:

~/.openclaw/workspace/skills/skill-memory/references/memory.json

Core Mapping Table / 核心映射表

Web Screenshot Details / 网页截图详细参数

Technical Solution: Playwright connects to existing Chrome (CDP port 9222)

Preset Parameters / 预设参数:

Wait Time / 等待时间: 20 seconds (page load)
Resolution / 分辨率: 1280×1024
Capture Scope / 截取范围: Webpage content only
Style / 风格要求: Clean, no scrollbars, no borders

Usage / 调用方式:

# Connect to existing Chrome / 连接已有Chrome
browser = await playwright.chromium.connect_over_cdp("http://localhost:9222")
page = browser.contexts[0].pages[0]
await page.wait_for_timeout(20000)  # Wait 20s / 等待20秒
await page.screenshot(path="output.png", full_page=False)

TTS Voice Presets / TTS音色预设

Update Script / 更新脚本

Use the update script to record or update skill memory:

python scripts/update_memory.py --task "任务类型" --skill "技能名称" --params '{"key":"value"}' --scenario "场景描述"

Script Options / 脚本参数

Usage Workflow / 使用流程

Step 1: Check Memory / 检查记忆

python scripts/update_memory.py --list

Step 2: Execute Task / 执行任务

• If task in memory → Use preset params
• If task NOT in memory → Use best skill → Record to memory

Step 3: Auto Update / 自动更新

• Same task, new scenario → Update memory entry
• Increment usage_count automatically

Example Scenarios / 示例场景

Scenario 1: New Task Type / 新任务类型

User: "帮我分析这个音频"
  ↓
Check memory: No "音频分析" entry
  ↓
Use best skill: doubao-api-toolkit (audio feature)
  ↓
Record to memory:
{
  "task_type": "分析音频",
  "skill": "doubao-api-toolkit",
  "parameters": {"mode": "audio"},
  "scenario": "音频内容分析",
  "usage_count": 1
}

Scenario 2: Updated Parameters / 参数更新

User: "截个高清网页图，要1920x1080"
  ↓
Check memory: Found "网页截图" but params differ
  ↓
Use new params: 1920x1080
  ↓
Update memory:
{
  "task_type": "网页截图",
  "parameters": {"resolution": "1920x1080", "high_res": true},
  "scenario": "高清截图",
  "updated_at": "...",
  "usage_count": 6  // incremented
}

Extension Rules / 扩展规则

• If task type not in table, use default skill selection
• User's explicit skill choice overrides table mapping
• Preset parameters can be overridden by user specification
• Always record new skill usage to memory
• Always update memory when scenario/params differ