Use when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add Doddy70/bengkelwiguna --skill turbocharge --agent claude-codeInstalls into .claude/skills of the current project.
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---
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.
---
Start your response with:
```text
──────────── ⚡ 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
---
### 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
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