Agent skill

Turbocharge

by sharpdeveye in sharpdeveye/maestro

A skill your agent uses when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.

MITAuto-check passed

Install Turbocharge

skills CLI
$ npx skills add sharpdeveye/maestro --skill turbocharge -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sharpdeveye/maestro turbocharge --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/turbocharge .claude/skills/turbocharge && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
turbocharge
GitHub stars
592
Token cost
~781 tokens
SKILL.md length
337 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.

  • Works in 3 steps: Think through 2-3 different directions… → Present these options to the user and… → Only proceed with the confirmed direction
  • The user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Streaming pipelines

What it does

Turbocharge is an agent skill from sharpdeveye/maestro. Use when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 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… The licence is MIT.

When your agent uses it

  • The user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration
  • Streaming pipelines
  • Adaptive routing

Example prompts

  • “/turbocharge”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 00f9115. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Turbocharge loads about 781 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 337 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~781

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sharpdeveye/maestro at commit 00f9115, republished under its MIT licence (© sharpdeveye). 337 words, ~781 tokens.

Download SKILL.mdSave it as .claude/skills/turbocharge/SKILL.md (or your agent's skills folder).
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?

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

© sharpdeveye, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in source/skills/turbocharge of sharpdeveye/maestro.

Open the folder on GitHubat commit 00f9115

Compare with similar skills

Turbocharge next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Turbocharge compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Turbocharge this skillsharpdeveye/maestro592—~781Automated safety check: PassMIT
Ecc Conventionsaffaan-m/ECC275k—~2.8kAutomated safety check: PassMIT
Git Pushingsickn33/agentic-awesome-skills47k1 repos~927Automated safety check: PassMIT
Git Pushingdavila7/claude-code-templates32k7 repos~272Automated safety check: PassMIT
Openclaw CI Limitsopenclaw/openclaw392k—~13kAutomated safety check: PassMIT
Naming Conventionsthedaviddias/Front-End-Checklist74k—~481Automated safety check: PassMIT

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Questions about Turbocharge

What does Turbocharge do?

A skill your agent uses when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing. Turbocharge is an agent skill from sharpdeveye/maestro. Use when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.

When should I use Turbocharge?

Turbocharge fits situations like: the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration; streaming pipelines; adaptive routing.

How do I install Turbocharge in Claude Code?

Run `npx skills add sharpdeveye/maestro --skill turbocharge -a claude-code`. Or copy the skill folder (source/skills/turbocharge in sharpdeveye/maestro) into .claude/skills/turbocharge in your project. Claude Code loads it when a task matches its description.

How do I install Turbocharge in Codex?

Run `npx skills add sharpdeveye/maestro --skill turbocharge -a codex`. Or copy the skill folder (source/skills/turbocharge in sharpdeveye/maestro) into .agents/skills/turbocharge in your project. Codex loads it when a task matches its description.

Can I use Turbocharge in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sharpdeveye/maestro --skill turbocharge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/turbocharge, .gemini/skills/turbocharge, .github/skills/turbocharge and .opencode/skills/turbocharge in your project.

What does Turbocharge need to run?

SKILL.md names no scripts, command-line tools or credentials: Turbocharge is instructions for the agent only.

Does Turbocharge access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Turbocharge safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Turbocharge use?

Turbocharge is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Turbocharge use?

About 781 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Turbocharge?

Skills that share tags, products or a category with Turbocharge: Ecc Conventions (affaan-m/ECC, 275k stars), Git Pushing (sickn33/agentic-awesome-skills, 47k stars), Git Pushing (davila7/claude-code-templates, 32k stars) and Openclaw CI Limits (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Turbocharge?

sharpdeveye (a GitHub user) maintains it in sharpdeveye/maestro, which has 592 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on April 29, 2026.

Source: sharpdeveye/maestro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.