/amplify
Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.
$ npx -y skills add sharpdeveye/maestro --skill amplify --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/amplify
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.
SKILL.md
amplify.SKILL.mdname: amplify
description: "Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models."
argument-hint: "[target area]"
category: enhancement
version: 2.0.0
user-invocable: true
MANDATORY PREPARATION
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the **Context Gathering Protocol**. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first. Consult the tool-orchestration reference in the agent-workflow skill for adding tools effectively.
---
Take a working workflow and make it more capable. Amplification adds new abilities without breaking existing functionality.
Amplification Strategies
**Better Prompts**
- Add few-shot examples for edge cases the model currently mishandles
- Add chain-of-thought for tasks where reasoning quality matters
- Add negative instructions for common mistakes
- Upgrade output schema with more structured fields
**Better Tools**
- Add tools for capabilities the model currently lacks
- Improve existing tool descriptions for better selection accuracy
- Add confirmation steps for high-stakes operations
- Add tools for verification/validation of outputs
**Better Context**
- Add RAG for domain-specific knowledge
- Add real-time data sources for current information
- Add user profile/history for personalization
- Add project documentation as reference context
**Better Models**
- Upgrade to a more capable model for critical steps
- Use model cascading (cheap model for simple, capable model for complex)
- Add vision capabilities if processing images/documents
- Add code execution capabilities if generating code
Amplification Process
1. **Identify the gap**: What can't the workflow do that it should? 2. **Choose the strategy**: Which amplification approach addresses the gap? 3. **Implement incrementally**: Add one capability at a time 4. **Verify**: Run the evaluation suite to confirm improvement without regression
Impact Assessment
| Strategy | Cost Impact | Latency Impact | Quality Impact | |----------|-----------|---------------|----------------| | Better prompts | None | None | Medium-High | | Better tools | Low | Low-Medium | High | | Better context (RAG) | Medium | Medium | High | | Better models | High | Medium-High | High |
Amplification Checklist
- [ ] Gap identified with concrete evidence (not assumption)
- [ ] Single strategy selected (don't amplify everything at once)
- [ ] Baseline quality score recorded before change
- [ ] Change implemented and tested
- [ ] Quality score improved without regression
- [ ] Cost/latency impact documented
Recommended Next Step
After amplification, run `/evaluate` to verify the new capability works, or `/iterate` to set up quality monitoring for the enhanced workflow.
**NEVER**:
- Amplify without a specific gap to address (amplification without purpose is bloat)
- Add capabilities without testing them
- Upgrade models without recalculating cost
- Add tools without updating tool descriptions
Read more
name: amplify description: "Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models." argument-hint: "[target area]" category: enhancement version: 2.0.0 user-invocable: true
MANDATORY PREPARATION
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the **Context Gathering Protocol**. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first. Consult the tool-orchestration reference in the agent-workflow skill for adding tools effectively.
---
Take a working workflow and make it more capable. Amplification adds new abilities without breaking existing functionality.
Amplification Strategies
**Better Prompts**
- Add few-shot examples for edge cases the model currently mishandles
- Add chain-of-thought for tasks where reasoning quality matters
- Add negative instructions for common mistakes
- Upgrade output schema with more structured fields
**Better Tools**
- Add tools for capabilities the model currently lacks
- Improve existing tool descriptions for better selection accuracy
- Add confirmation steps for high-stakes operations
- Add tools for verification/validation of outputs
**Better Context**
- Add RAG for domain-specific knowledge
- Add real-time data sources for current information
- Add user profile/history for personalization
- Add project documentation as reference context
**Better Models**
- Upgrade to a more capable model for critical steps
- Use model cascading (cheap model for simple, capable model for complex)
- Add vision capabilities if processing images/documents
- Add code execution capabilities if generating code
Amplification Process
1. **Identify the gap**: What can't the workflow do that it should? 2. **Choose the strategy**: Which amplification approach addresses the gap? 3. **Implement incrementally**: Add one capability at a time 4. **Verify**: Run the evaluation suite to confirm improvement without regression
Impact Assessment
| Strategy | Cost Impact | Latency Impact | Quality Impact | |----------|-----------|---------------|----------------| | Better prompts | None | None | Medium-High | | Better tools | Low | Low-Medium | High | | Better context (RAG) | Medium | Medium | High | | Better models | High | Medium-High | High |
Amplification Checklist
- [ ] Gap identified with concrete evidence (not assumption)
- [ ] Single strategy selected (don't amplify everything at once)
- [ ] Baseline quality score recorded before change
- [ ] Change implemented and tested
- [ ] Quality score improved without regression
- [ ] Cost/latency impact documented
Recommended Next Step
After amplification, run `/evaluate` to verify the new capability works, or `/iterate` to set up quality monitoring for the enhanced workflow.
**NEVER**:
- Amplify without a specific gap to address (amplification without purpose is bloat)
- Add capabilities without testing them
- Upgrade models without recalculating cost
- Add tools without updating tool descriptions
Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and 6 more.
Repo: sharpdeveye/maestro
Other skills on maestro.
- /accelerate
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
Open skill - /adapt-workflow
Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.
Open skill - /agent-workflow
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.
Open skill - /calibrate
Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
Open skill - /capture
Capture a session summary — what was done, what decisions were made, and what to do next.
Open skill - /chain
Use when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow.
Open skill

