Amplifier
/install amplifier-openclaw
Amplifier — Multi-Agent Delegation
Amplifier is a multi-agent AI framework. Delegate tasks that benefit from specialist agents, structured workflows, or parallel investigation.
When to Delegate
High confidence → delegate immediately:
- "Research X and compare approaches"
- "Build a Python tool that does X"
- "Review this code for security and design"
- User says "amplifier", "deep dive", "thorough", "comprehensive"
- Task has clear subtasks benefiting from parallel agents
Medium confidence → offer the choice:
- "I can do a quick analysis, or delegate to Amplifier for a thorough multi-agent review."
Low confidence → handle yourself:
- Simple Q&A, quick code edits, casual conversation, anything needing immediate response
Usage
Basic Delegation
exec command:"amplifier-openclaw run 'Research the top 3 Python web frameworks' --bundle foundation" background:true timeout:600
With Model Selection
Pass --model to override the default model:
exec command:"amplifier-openclaw run --model your-preferred-model 'Deep code review' --bundle foundation" background:true timeout:600
Tip: Pass --model matching the model from your OpenClaw Runtime line so Amplifier uses the same one.
Bundles
amplifier-openclaw bundles list
| Bundle | Best For |
|---|---|
foundation |
General: research, analysis, planning (default) |
superpowers |
Multi-agent brainstorm, deep investigation |
coder |
Code generation, refactoring, debugging |
Session Persistence
# Start a named session
exec command:"amplifier-openclaw run --session-name my-project 'Start building the auth module' --bundle foundation" background:true
# Resume later
exec command:"amplifier-openclaw run --resume --session-name my-project 'Now add unit tests'" background:true
Modes
Amplifier supports slash-command modes in prompts. Modes do not carry over between runs — include the mode at the start of each prompt:
# Brainstorm mode (uses all agents)
exec command:"amplifier-openclaw run --bundle superpowers '/brainstorm How should we architect the new API?'" background:true
# Research mode
exec command:"amplifier-openclaw run --bundle foundation '/research Latest advances in RAG'" background:true
JSON Output
{
"response": "The analysis found...",
"usage": {
"input_tokens": 28566,
"output_tokens": 1800,
"estimated_cost": 0.12,
"tool_invocations": 3
},
"status": "completed"
}
Cost Tracking
exec command:"amplifier-openclaw cost --period week"
Report costs only when asked or when notable (>$1).
Interpreting Results
response: Present to the user (the main output)error: Report in plain language, don't dump raw JSONusage.estimated_cost: May be0.0— don't alarm about zerostatus: "completed", "cancelled", or error state
During Active Delegation
- "stop"/"cancel" → kill the background process
- Unrelated questions → answer yourself, don't interrupt Amplifier
- Follow-up → tell user you'll pass it along when current task finishes
Install
If not already installed:
uv tool install "amplifier-app-openclaw @ git+https://github.com/microsoft/[email protected]"
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install amplifier-openclaw - 安装完成后,直接呼叫该 Skill 的名称或使用
/amplifier-openclaw触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Amplifier 是什么?
Delegate complex tasks to Amplifier's multi-agent framework. Use when: (1) research/comparison needing multiple perspectives, (2) multi-file code projects, (... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 434 次。
如何安装 Amplifier?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install amplifier-openclaw」即可一键安装,无需额外配置。
Amplifier 是免费的吗?
是的,Amplifier 完全免费(开源免费),可自由下载、安装和使用。
Amplifier 支持哪些平台?
Amplifier 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Amplifier?
由 Brian Krabach(@bkrabach)开发并维护,当前版本 v1.1.1。