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.
What this skill does
## 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
Related in enhancement
enrich
IncludedUse when the agent needs access to information beyond its training data — knowledge sources, RAG pipelines, or grounding data.
guard
IncludedUse when deploying to production, handling sensitive data, or the workflow needs safety constraints, input validation, and security boundaries.
iterate
IncludedUse when the workflow needs to self-correct, improve over time, or establish feedback loops and evaluation cycles.
temper
IncludedUse when the workflow feels over-engineered, has premature optimizations, unnecessary abstraction layers, or complexity beyond actual requirements.
turbocharge
IncludedUse when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.
accelerate
IncludedUse when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.