turbocharge

name	turbocharge
description	Use when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.
argument-hint	[target]
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.

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Start your response with:

──────────── ⚡ TURBOCHARGE ─────────────
》》》 Entering turbocharge mode...

Push a workflow past conventional limits. This isn't about adding features — it's about making existing capabilities operate at a level users didn't think was possible.

EXTRA IMPORTANT: Context determines what "extraordinary" means. Understand the project's scale before deciding what to turbocharge.

Propose Before Building

1. Think through 2-3 different directions with trade-offs
2. Present these options to the user and wait for their selection before writing code
3. Only proceed with the confirmed direction

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For high-throughput workflows

• Parallel fan-out: Split input, process N simultaneously, merge results
• Streaming pipelines: Start processing step N+1 while step N runs
• Progressive quality: Fast pass on everything, detailed pass on flagged items
• Smart batching: Group similar items, outliers get individual treatment

For latency-critical workflows

• Speculative execution: Start likely next step before current finishes
• Cached warm paths: Pre-compute responses for common patterns
• Model cascading: Try fastest model first, escalate only when needed

For reliability-critical workflows

• Automatic failover: Detect failures, switch to alternatives automatically
• State checkpointing: Save state, resume from any point after crash
• Chaos testing: Intentionally break dependencies to verify recovery

For adaptive workflows

• Complexity routing: Route simple inputs to fast paths, complex to thorough
• Dynamic model selection: Choose model based on task requirements
• Feedback-driven optimization: Track what works best, adapt routing

Progressive enhancement is non-negotiable

Every turbocharge technique must degrade gracefully. The workflow without the enhancement must still work.

Verification

• Performance test: Is it measurably faster/cheaper/more reliable?
• Degradation test: Disable enhancement — does it still work?
• Cost test: Does improvement justify complexity?
• Maintenance test: Can someone else maintain this in 6 months?

Recommended Next Step

After turbocharging, run /evaluate to verify the enhancement works and degrades gracefully.

NEVER:

• Turbocharge before the workflow is correct (make it right, then make it fast)
• Add complexity without measuring the improvement
• Build self-healing without testing the healing
• Layer multiple turbocharge techniques at once