moltcare-open（换毛护理开放）

MoltCare-Open Skill

🦞 OpenClaw Skill - v3.2.0 | Auto-published via GitHub Actions

Install and configure the MoltCare Agent Framework for OpenClaw.

What is MoltCare?

MoltCare is a four-layer configuration framework that transforms OpenClaw Agent from passive execution to proactive problem-solving:

┌─────────────────────────────────────────┐
│  SOUL.md        ← Agent 灵魂（原则、人格） │
├─────────────────────────────────────────┤
│  AGENTS.md      ← 操作手册（流程、工具）   │
├─────────────────────────────────────────┤
│  USER.md        ← 用户画像（偏好、约束）   │
├─────────────────────────────────────────┤
│  MEMORY.md      ← 长期记忆（核心信息）     │
└─────────────────────────────────────────┘

Core Features

1. Three-Layer Trigger Architecture (AGENTS.md v3.2)

Layer 1 - Exact Triggers:

• 多专家讨论: → Multi-expert mode [🧠]
• 这很重要 → High priority memory [⭐]
• 记住这个 → Learning debt [💾]
• 我偏好 → User preference [👤]

Layer 2 - Semantic Triggers:

• "关键是..." / "核心在于..." → Key info [⭐]
• "别忘了..." / "要记住..." → Learning debt [💾]
• "我喜欢..." / "我讨厌..." → Preference [👤]
• "还不行" / "太慢了" → PUA activation [🔥]

Layer 3 - Agent Evaluation: After task completion, self-evaluate 7 questions and auto-record if ≥2 criteria met.

2. PUA Problem-Solving Framework

Three Iron Laws:

1. Exhaust all options - Never say "cannot solve" until all tried
2. Act first, ask later - Use tools before asking user
3. Take ownership - End-to-end delivery

Pressure Escalation (L1-L4):

• L1: "Try again" / "Another approach"
• L2: "Why still not working" / 2 failures
• L3: "You can't do it" / 3+ failures + 7-item checklist
• L4: "Cannot solve" / 5+ failures →拼命模式

3. Multi-Expert Decision System

Automatically activate for:

• Architecture design
• Security/risk assessment
• Complex trade-offs

Experts: 🔍 Researcher → 🧠 Architect → 💻 Engineer → 👑 Captain

4. Task Layering & Cost Optimization

Intelligent task execution with minimal token consumption:

Principle: Push computation to scripts; reserve AI for judgment.

Benefits:

• 90%+ reduction in token consumption for routine tasks
• Faster response times (no model latency)
• Predictable operational costs
• Scalable automation

5. Daily Token Optimization Audit

Automated daily review of tasks and workflows to identify optimization opportunities:

What it checks:

Daily Checklist:

□ Review yesterday's token usage patterns
□ Identify tasks with >3 similar executions
□ Check for threshold-based decisions using AI
□ Look for data formatting/processing done by AI
□ Find opportunities for incremental updates

Optimization Report Template:

## [Date] Token Optimization Report

### Findings
| Task | Current | Suggested | Savings |
|------|---------|-----------|---------|
| [Name] | AI every call | Script + cache | ~X% |

### Action Items
- [ ] [Task]: Convert to L0/L1/L2
- [ ] [Task]: Add caching layer
- [ ] [Task]: Implement incremental updates

Auto-trigger: Daily at configured time or manual via "检查token优化"

Installation

Step 1: Copy Templates (⚠️ Important: Copy to ROOT, not subfolders)

OpenClaw automatically loads these files from workspace root at session start:

CORE (required):

~/.openclaw/workspace/
├── AGENTS.md      ← Operation manual (auto-loaded)
├── SOUL.md        ← Agent principles (auto-loaded)
├── USER.md        ← User profile (auto-loaded)
└── MEMORY.md      ← Long-term memory (auto-loaded)

OPTIONAL (loaded if exists):

~/.openclaw/workspace/
├── IDENTITY.md    ← Agent identity (auto-loaded)
├── TOOLS.md       ← Environment tools (auto-loaded)
└── HEARTBEAT.md   ← Health check system (auto-loaded)

MEMORY templates (read on-demand):

~/.openclaw/workspace/memory/
├── learning-debt.md      (read via `read` tool)
├── constraints.md        (read via `read` tool)
├── preferences.md        (read via `read` tool)
└── token-audit-template.md  (read via `read` tool)

❌ WRONG - Do NOT do this:

# Wrong - creates subfolders
mkdir -p ~/.openclaw/workspace/core
mkdir -p ~/.openclaw/workspace/assets
cp assets/* ~/.openclaw/workspace/core/  # ❌ WRONG

✅ CORRECT (or use install.sh):

# Core templates → ROOT (auto-loaded by OpenClaw)
cp assets/AGENTS.md ~/.openclaw/workspace/
cp assets/SOUL.md ~/.openclaw/workspace/
cp assets/USER.md ~/.openclaw/workspace/
cp assets/MEMORY.md ~/.openclaw/workspace/

# Optional templates → ROOT (auto-loaded if exists)
cp assets/IDENTITY.md ~/.openclaw/workspace/
cp assets/TOOLS.md ~/.openclaw/workspace/
cp assets/HEARTBEAT.md ~/.openclaw/workspace/

# Memory templates → memory/ (read on-demand)
mkdir -p ~/.openclaw/workspace/memory
cp assets/learning-debt.md ~/.openclaw/workspace/memory/
cp assets/constraints.md ~/.openclaw/workspace/memory/
cp assets/preferences.md ~/.openclaw/workspace/memory/
cp assets/token-audit-template.md ~/.openclaw/workspace/memory/

# Note: BEST_PRACTICES.md stays in skill/assets/ (reference only, not auto-loaded)

Step 2: Configure User Profile

Edit ~/.openclaw/workspace/USER.md and fill in:

• Your name/role
• Communication preferences
• Technical level
• Constraints and boundaries

Step 3: Initialize Memory System

Create today's memory file:

mkdir -p ~/.openclaw/workspace/memory
echo "# $(date +%Y-%m-%d) Memory Flush" > ~/.openclaw/workspace/memory/$(date +%Y-%m-%d).md

Step 4: Configure Weekly Token Audit (Auto-configured)

Token optimization audit is automatically configured during installation:

Default Schedule: Every Monday at 03:00 (cron)

0 3 * * 1 cd ~/.openclaw/workspace && echo '检查token优化' >> ~/.openclaw/workspace/.audit-trigger

Trigger methods:

1. Automatic - Runs every Monday 03:00 via cron
2. Manual - Say "检查token优化" anytime
3. Custom period - Say "检查本周token优化" or "检查本月token优化"

To change schedule, edit crontab:

crontab -e
# Change: 0 3 * * 1 (Monday 03:00)
# To daily: 0 3 * * * (daily 03:00)
# To disable: Comment out or remove the line

File Reference

CORE Configuration (Auto-loaded by OpenClaw)

Must be in ~/.openclaw/workspace/ root.

OPTIONAL Configuration (Auto-loaded if exists)

Placed in ~/.openclaw/workspace/ root. Loaded only if file exists.

MEMORY Templates (Read on-demand)

Placed in ~/.openclaw/workspace/memory/. Read via read tool when needed.

Reference Documentation (Not auto-loaded)

Stay in skill/assets/. Read manually when needed.

Quick Start

After installation, test the framework:

1. Test Layer 1 trigger:

   用户: "这很重要，我偏好简洁的回答"
   Agent: [⭐] 已记录核心偏好: 简洁回答

1. Test Layer 2 trigger:

   用户: "关键是配置要正确，别忘了备份"
   Agent: [⭐] 记录关键信息: 配置要正确
          [💾] 添加到学习债务: 别忘了备份

1. Test Multi-Expert mode:

   用户: "多专家讨论: 如何设计一个高并发系统"
   Agent: [🧠 多专家模式]
          🔍 研究员: ...
          🧠 架构师: ...
          💻 工程师: ...
          👑 队长: ...

Updating

To update the framework while preserving your configurations:

1. Backup your USER.md and MEMORY.md
2. Reinstall the skill
3. Merge your custom configurations back

Resources

All templates are in assets/ directory:

• Core templates: SOUL.md, AGENTS.md, USER.md, MEMORY.md, HEARTBEAT.md
• Memory templates: learning-debt.md, constraints.md, preferences.md

Version

v3.2 - Task Layering & Cost Optimization