dsh-expert-mode

🧠 DSH Expert Mode

One agent preset that turns DSH into a "1 Coordinator + 11 Experts" multi-agent team

中文 · English

✨ What it does

Install this preset and DSH automatically becomes a "Chief Coordinator" mode:

No custom prompts to write. No multi-config to maintain. Just install and use.

🖼️ Demo

Select the "Expert Mode" preset in DSH workspace to use

5 expert subagents working in parallel, with real-time token usage and timing

🧩 11 Experts

🔧 Core Mechanisms

🚀 Quick Path

The Coordinator answers directly without delegating for:

• Single file read/write/edit
• Simple Q&A (no domain expertise needed)
• Casual chat / greetings
• User says "do it yourself" or "no delegation needed"
• Task completable with a single command

⚡ Fault Recovery

• Expert call timeout/failure → auto-retry once
• 2 consecutive failures → inform user, suggest alternative
• Expert output clearly off-topic → recall and re-guide

📋 Progressive Disclosure

The Coordinator holds a complete expert methodology index and injects on-demand — not dumping all expert personas into context at startup.

🎯 Anchored Non-degradation

Solves the "trajectory flip" problem caused by system prompt mutations:

🏗️ Five Anchor Constraints

The Coordinator self-checks five anchor points every turn:

🎯 Near-distance Guidance

During delegation, the Coordinator fills in the structured guidance template:

┌─ Near-distance Guidance ─┐
Identity: You are [expert role]
Task: {specific task description}
Input: {input data}
Output format: [extracted from methodology index]
Completion criteria: {clear delivery standard}
└──────────────────────────┘

Subagents start with clear "who I am, what to do, how to deliver."

🔗 Expert Communication Protocol

When cross-expert collaboration is needed:

[FROM:expert_data_analyst → TO:expert_frontend_dev]
Task: Design frontend data display based on analysis
Data: {Expert A's conclusion summary}

🔍 Cross Review

High-risk tasks (architecture selection, contract review, financial analysis) trigger multi-expert independent review. The Coordinator synthesizes conclusions.

💾 Experience Pool

After completing important tasks, experts extract lessons to .expert-mode/experts/{name}/lessons.md, automatically injected for similar future tasks.

🧠 Expert Persistence

Experts stay online after task completion. The Coordinator can wake them up for follow-up modifications with full context preserved.

📦 Installation

Method 1: dsh plugin add (recommended)

dsh plugin --profile web add github:Asher-2000/dsh-expert-mode

Method 2: git clone

mkdir -p ~/.dsh/.agent-presets
git clone https://github.com/Asher-2000/dsh-expert-mode.git ~/.dsh/.agent-presets/expert-mode

Want English? The repo includes an expert-mode-en/ preset:

cp -r ~/.dsh/.agent-presets/expert-mode/expert-mode-en ~/.dsh/.agent-presets/expert-mode-en

Method 3: Manual download

Download from Releases and place preset.yml + agent.cordis.yml into ~/.dsh/.agent-presets/expert-mode/.

🚀 Usage

After installation, select the Expert Mode preset when creating a new session in DSH Web GUI.

❓ FAQ

Q: Does Expert Mode consume extra model quota? A: Delegating to expert subagents triggers subagent model calls (DSH subagent mechanism), same as the official subagent feature. Simple tasks are handled directly by the Coordinator with no extra calls.

Q: Can I add my own experts? A: Yes. Copy any expert entry in agent.cordis.yml, modify the tool name and persona.

Q: How does it relate to the official standard preset? A: Built on top of the official standard preset combination, preserving the full toolset and only adding the expert delegation layer.

📁 File Structure

.
├── preset.yml              # Preset metadata (name + description)
├── agent.cordis.yml        # Coordinator persona + methodology index + expert tools
├── expert-mode-en/         # English preset
│   ├── preset.yml
│   └── agent.cordis.yml
├── .expert-mode/           # Expert experience pool
│   └── experts/            # Each expert's lessons.md
├── assets/                 # Screenshots
├── README.md               # English
├── README.zh.md            # 中文
└── LICENSE

📝 Changelog

🏆 Community

• 📢 Featured in Awesome DSH Plugin: https://github.com/awesome-dsh-plugin/awesome-dsh-plugin
• 🏷️ GitHub dsh-plugin topic: https://github.com/topics/dsh-plugin

🏷️ Tags

dsh deepseek-harness agent-preset expert-mode multi-agent subagent ai-agent dsh-plugin

📄 License

MIT License — see LICENSE.