Agent skill

Profile App Cpu

by activepieces in activepieces/activepieces

Find what is burning CPU in a live app container without restarting it: separate the JS thread from GC and libuv, open the V8 inspector in place with SIGUSR1, take a CPU profile over CDP, and…

Custom licenceAuto-check passedProductivity & Automation

Install Profile App Cpu

skills CLI
$ npx skills add activepieces/activepieces --skill profile-app-cpu -a claude-code

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

GitHub CLI
$ gh skill install activepieces/activepieces profile-app-cpu --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/activepieces/activepieces.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/profile-app-cpu .claude/skills/profile-app-cpu && 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
profile-app-cpu
GitHub stars
25k
Token cost
~1.9k tokens
SKILL.md length
732 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

Find what is burning CPU in a live app container without restarting it: separate the JS thread from GC and libuv, open the V8 inspector in place with SIGUSR1, take a CPU profile over CDP, and…

  • Works in 5 steps: Rule out the database before you profile → Find which thread is hot → Open the inspector in place → …
  • Containers sit at their CPU cap
  • SKILL.md covers 1. Rule out the database…, 2. Find which thread is hot, 3. Open the inspector in place and 4. Take the profile, plus 2 more sections
  • Calls docker

What it does

Profile App Cpu is an agent skill from activepieces/activepieces. Find what is burning CPU in a live app container without restarting it: separate the JS thread from GC and libuv, open the V8 inspector in place with SIGUSR1, take a CPU profile over CDP, and aggregate it back to the function that owns the time. Use when containers sit at their CPU cap, healthchecks time out with nothing crashed, or a self-hoster reports the app 'unhealthy' but the process is alive.

Its SKILL.md is about 1.9k 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 Productivity & Automation, covering MCP servers and Workflow automation. It works with Model Context Protocol. The repository describes itself as: AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents.

When your agent uses it

  • Containers sit at their CPU cap
  • Healthchecks time out with nothing crashed
  • A self-hoster reports the app unhealthy but the process is alive

Example prompts

  • “unhealthy”
  • “/profile-app-cpu”

Requirements

  • Docker

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Rule out the database before you profile
  2. Find which thread is hot
  3. Open the inspector in place
  4. Take the profile
  5. Aggregate by function, not by stack node

What it can do on your machine

Read from SKILL.md and the folder at commit 8656fb8. 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

    Shell commands in SKILL.md call:

    • docker

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

  • Network

    No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.

    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

Profile App Cpu loads about 1.9k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 732 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 732 words (~1,881 tokens).

“The sibling of profile-worker-memory. That one answers what is holding memory; this one answers what is burning CPU, and it does it on a running production container without a restart — a restart destroys the very state you are trying…”

— opening of SKILL.md by activepieces, Custom licence
name
profile-app-cpu

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/profile-app-cpu of activepieces/activepieces.

Open the folder on GitHubat commit 8656fb8

Compare with similar skills

Profile App Cpu 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.

Profile App Cpu compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Profile App Cpu this skillactivepieces/activepieces25k—~1.9kAutomated safety check: PassCustom licence
Zapier Statuszapier/zapier-mcp428—~1.8kAutomated safety check: PassMIT
n8n Multi-Instance Targetingczlonkowski/n8n-skills6.4k—~3.2kAutomated safety check: PassMIT
Agents Onboardingfazer-ai/agents118—~4.4kAutomated safety check: PassApache-2.0
N8n MCP Tools Expertdavila7/claude-code-templates32k8 repos~3.2kAutomated safety check: PassMIT
n8n MCP Tools Expertczlonkowski/n8n-skills6.4k—~7.6kAutomated safety check: PassMIT

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Questions about Profile App Cpu

What does Profile App Cpu do?

Find what is burning CPU in a live app container without restarting it: separate the JS thread from GC and libuv, open the V8 inspector in place with SIGUSR1, take a CPU profile over CDP, and…. Profile App Cpu is an agent skill from activepieces/activepieces. Find what is burning CPU in a live app container without restarting it: separate the JS thread from GC and libuv, open the V8 inspector in place with SIGUSR1, take a CPU profile over CDP, and aggregate it back to the function that owns the time.

When should I use Profile App Cpu?

Profile App Cpu fits situations like: containers sit at their CPU cap; healthchecks time out with nothing crashed; A self-hoster reports the app unhealthy but the process is alive.

How do I install Profile App Cpu in Claude Code?

Run `npx skills add activepieces/activepieces --skill profile-app-cpu -a claude-code`. Or copy the skill folder (.agents/skills/profile-app-cpu in activepieces/activepieces) into .claude/skills/profile-app-cpu in your project. Claude Code loads it when a task matches its description.

How do I install Profile App Cpu in Codex?

Run `npx skills add activepieces/activepieces --skill profile-app-cpu -a codex`. Or copy the skill folder (.agents/skills/profile-app-cpu in activepieces/activepieces) into .agents/skills/profile-app-cpu in your project. Codex loads it when a task matches its description.

Can I use Profile App Cpu 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 activepieces/activepieces --skill profile-app-cpu -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/profile-app-cpu, .gemini/skills/profile-app-cpu, .github/skills/profile-app-cpu and .opencode/skills/profile-app-cpu in your project.

What does Profile App Cpu need to run?

Going by SKILL.md and its folder, Profile App Cpu needs the command-line tools its instructions call (docker). Our summary lists: Docker.

Does Profile App Cpu access the network?

SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Profile App Cpu 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 Profile App Cpu use?

Profile App Cpu has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Profile App Cpu use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 Profile App Cpu?

Skills that share tags, products or a category with Profile App Cpu: Zapier Status (zapier/zapier-mcp, 428 stars), n8n Multi-Instance Targeting (czlonkowski/n8n-skills, 6.4k stars), Agents Onboarding (fazer-ai/agents, 118 stars) and N8n MCP Tools Expert (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Profile App Cpu?

activepieces (a GitHub organization) maintains it in activepieces/activepieces, which has 24,941 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 8, 2026.

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