Agent skill

Performance Engineer

by aiskillstore in aiskillstore/marketplace

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance.

No licenceAuto-check passedDevOps & Cloud

Install Performance Engineer

skills CLI
$ npx skills add aiskillstore/marketplace --skill performance-engineer -a claude-code

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

GitHub CLI
$ gh skill install aiskillstore/marketplace performance-engineer --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/performance-engineer .claude/skills/performance-engineer && 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
performance-engineer
GitHub stars
430
Used in
6 other repos
Token cost
~2.8k tokens
SKILL.md length
1,131 words
Files
2
Skills in repo
1,085
Repo updated
First seen
Licence
None found

At a glance

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance.

  • Works in 4 steps: Confirm performance goals, user impact,… → Collect traces, profiles, and load tests… → Propose optimizations with expected… → …
  • Tasks that involve Observability
  • SKILL.md covers Use this skill when, Do not use this skill when, Instructions and Safety, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Performance Engineer is an agent skill from aiskillstore/marketplace. Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).

It sits in DevOps & Cloud, covering Observability, Load testing and Performance optimization. It works with OpenTelemetry. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • Tasks that involve Observability
  • Tasks that involve Load testing
  • Tasks that involve Performance optimization

Example prompts

  • “/performance-engineer”

Requirements

  • Python 3
  • Node.js
  • Docker

Workflow steps

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

  1. Confirm performance goals, user impact, and baseline metrics.
  2. Collect traces, profiles, and load tests to isolate bottlenecks.
  3. Propose optimizations with expected impact and tradeoffs.
  4. Verify results and add guardrails to prevent regressions.

What it can do on your machine

Read from SKILL.md and the folder at commit 4ac52da. 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

Performance Engineer loads about 2.8k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 1,131 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,131 words (~2,791 tokens).

“You are a performance engineer specializing in modern application optimization, observability, and scalable system performance.”

— opening of SKILL.md by aiskillstore
name
performance-engineer
metadata.model
inherit

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills/sickn33/performance-engineer of aiskillstore/marketplace.

  • SKILL.md
  • skill-report.json

Open the folder on GitHubat commit 4ac52da

Used in 6 other repositories

We found 21 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Performance Engineer 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.

Performance Engineer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Performance Engineer this skillaiskillstore/marketplace4306 repos~2.8kAutomated safety check: PassNone
Monitoring ExpertJeffallan/claude-skills12k—~1.6kAutomated safety check: PassMIT
Deploying Scalable Agentsmicrosoft/ai-agents-for-beginners77k—~1.5kAutomated safety check: PassMIT
Deploying Scalable Agentsmicrosoft/ai-agents-for-beginners77k—~1.6kAutomated safety check: PassMIT
Otel Telemetrygenollygarden/opentelemetry-agent-skills106—~2.2kAutomated safety check: PassApache-2.0
Dt Obs GenaiDynatrace/dynatrace-for-ai161—~4.5kAutomated safety check: PassApache-2.0

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Works with

Questions about Performance Engineer

What does Performance Engineer do?

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Performance Engineer is an agent skill from aiskillstore/marketplace. Expert performance engineer specializing in modern observability, application optimization, and scalable system performance.

When should I use Performance Engineer?

Performance Engineer fits situations like: tasks that involve Observability; tasks that involve Load testing; tasks that involve Performance optimization.

How do I install Performance Engineer in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill performance-engineer -a claude-code`. Or copy the skill folder (skills/sickn33/performance-engineer in aiskillstore/marketplace) into .claude/skills/performance-engineer in your project. Claude Code loads it when a task matches its description.

How do I install Performance Engineer in Codex?

Run `npx skills add aiskillstore/marketplace --skill performance-engineer -a codex`. Or copy the skill folder (skills/sickn33/performance-engineer in aiskillstore/marketplace) into .agents/skills/performance-engineer in your project. Codex loads it when a task matches its description.

Can I use Performance Engineer 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 aiskillstore/marketplace --skill performance-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performance-engineer, .gemini/skills/performance-engineer, .github/skills/performance-engineer and .opencode/skills/performance-engineer in your project.

What does Performance Engineer need to run?

SKILL.md names no scripts, command-line tools or credentials: Performance Engineer is instructions for the agent only. Our summary lists: Python 3; Node.js; Docker.

Does Performance Engineer 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 Performance Engineer 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 Performance Engineer use?

No licence was found for Performance Engineer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Performance Engineer use?

About 2.8k tokens (SKILL.md is roughly 11k 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 Performance Engineer?

Skills that share tags, products or a category with Performance Engineer: Monitoring Expert (Jeffallan/claude-skills, 12k stars), Deploying Scalable Agents (microsoft/ai-agents-for-beginners, 77k stars), Deploying Scalable Agents (microsoft/ai-agents-for-beginners, 77k stars) and Otel Telemetrygen (ollygarden/opentelemetry-agent-skills, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Performance Engineer?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.

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