Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Amplifier
Delegate complex tasks to Amplifier's multi-agent framework. Use when: (1) research/comparison needing multiple perspectives, (2) multi-file code projects, (...
skill openclawclawhub Free
Delegate complex tasks to Amplifier's multi-agent framework. Use when: (1) research/comparison needing multiple perspectives, (2) multi-file code projects, (...
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.1
Provenance
- Publisher
- bkrabach
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Amplifier โ 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 โ 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 โ offer the choice: "I can do a quick analysis, or delegate to Amplifier for a thorough multi-agent review." Low confidence โ handle yourself: Simple Q&A, quick code edits, casual conversation, anything needing immediate response
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 BundleBest ForfoundationGeneral: research, analysis, planning (default)superpowersMulti-agent brainstorm, deep investigationcoderCode 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 โ 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 JSON usage.estimated_cost: May be 0.0 โ don't alarm about zero status: "completed", "cancelled", or error state
During Active Delegation
"stop"/"cancel" โ kill the background process Unrelated questions โ answer yourself, don't interrupt Amplifier Follow-up โ 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/amplifier-app-openclaw@v1.0.5"
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md