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Agent skill

Accelerate

by sharpdeveye in sharpdeveye/maestro

A skill your agent uses when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

MITAuto-check passedAI & LLM Engineering

Install Accelerate

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

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

GitHub CLI
$ gh skill install sharpdeveye/maestro accelerate --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/accelerate .claude/skills/accelerate && 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
accelerate
GitHub stars
592
Token cost
~745 tokens
SKILL.md length
310 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

  • Works in 5 steps: What changed: Specific modification → Before: Latency/cost/tokens before → After: Latency/cost/tokens after → …
  • The workflow is too slow
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Both and needs latency

What it does

Accelerate is an agent skill from sharpdeveye/maestro. Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. 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 workflow is too slow
  • Both and needs latency
  • Token usage optimization

Example prompts

  • “/accelerate”

Workflow steps

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

  1. What changed: Specific modification
  2. Before: Latency/cost/tokens before
  3. After: Latency/cost/tokens after
  4. Quality impact: Any quality change (verify with golden tests)
  5. Trade-off: What was sacrificed for the improvement

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

Accelerate loads about 745 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 310 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~745

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). 310 words, ~745 tokens.

Download SKILL.mdSave it as .claude/skills/accelerate/SKILL.md (or your agent's skills folder).
name
accelerate
description
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
argument-hint
[target metric]
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 context-management reference in the agent-workflow skill for window optimization and budget strategies.

Make the workflow faster and cheaper without sacrificing quality. Measure before and after.

Performance Audit

Measure current performance:

text
Current metrics:
  Latency (p50): ___ms
  Latency (p95): ___ms
  Cost per request: $___
  Token usage (avg): ___ input / ___ output
  Error rate: ___%
Acceleration Strategies

Reduce Token Usage

  • Shorten system prompts (remove redundant instructions)
  • Compress few-shot examples to minimum viable length
  • Use structured output schemas instead of verbose text
  • Summarize context instead of passing raw documents
  • Reduce output length requirements

Model Cascading

  • Route simple tasks to cheaper/faster models
  • Escalate only complex tasks to capable models
  • Use classification to determine complexity

Caching

  • Cache responses for identical or near-identical inputs
  • Cache tool results with appropriate TTL
  • Cache embeddings for frequently-queried documents
  • Use semantic caching for similar (not identical) queries

Parallelization

  • Run independent tool calls in parallel
  • Run independent agent steps in parallel
  • Use streaming to start processing before full response

Context Optimization

  • Retrieve less, retrieve better (improve retrieval precision)
  • Use context compression techniques
  • Implement sliding window for long conversations
Acceleration Report

For each optimization:

  1. What changed: Specific modification
  2. Before: Latency/cost/tokens before
  3. After: Latency/cost/tokens after
  4. Quality impact: Any quality change (verify with golden tests)
  5. Trade-off: What was sacrificed for the improvement
Acceleration Checklist
  • Baseline metrics recorded before any changes
  • Each optimization measured with before/after comparison
  • Quality impact verified (golden tests still pass)
  • Trade-offs documented for each change
  • Cost/latency improvements quantified

After optimization, run /evaluate to verify quality didn't degrade, or /iterate to set up continuous monitoring.

NEVER:

  • Optimize without measuring first (you need a baseline)
  • Sacrifice quality for speed without explicit user approval
  • Cache outputs that depend on real-time data
  • Skip the quality check after optimization
  • Optimize prematurely (make it correct first, then make it fast)

© 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/accelerate of sharpdeveye/maestro.

Open the folder on GitHubat commit 00f9115

Compare with similar skills

Accelerate 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.

Accelerate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Accelerate this skillsharpdeveye/maestro592—~745Automated safety check: PassMIT
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k13 repos~656Automated safety check: PassApache-2.0

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  • Extract Pattern

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  • Fortify

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Categories

Questions about Accelerate

What does Accelerate do?

A skill your agent uses when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization. Accelerate is an agent skill from sharpdeveye/maestro. Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

When should I use Accelerate?

Accelerate fits situations like: the workflow is too slow; both and needs latency; token usage optimization.

How do I install Accelerate in Claude Code?

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

How do I install Accelerate in Codex?

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

Can I use Accelerate 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 accelerate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/accelerate, .gemini/skills/accelerate, .github/skills/accelerate and .opencode/skills/accelerate in your project.

What does Accelerate need to run?

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

Does Accelerate 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 Accelerate 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 Accelerate use?

Accelerate 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 Accelerate use?

About 745 tokens (SKILL.md is roughly 3k 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 Accelerate?

Skills that share tags, products or a category with Accelerate: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Accelerate?

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.