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Slash Command

Detect Bottlenecks

Detect performance bottlenecks in application

Type
Slash Command
GitHub stars
2.8k
License
MIT
Repo last updated
Sep 27, 2026

What Detect Bottlenecks is

Detect Bottlenecks is a slash command published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.

Detect Bottlenecks gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.

How to install Detect Bottlenecks

Claude Code

  1. Download detect-bottlenecks.md from the repository.
  2. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
  3. Run it by typing / followed by its name.

Claude Cowork

  1. Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
  2. In Customize → Skills, click +, then upload the ZIP.
  3. Run it from any task with / and the skill name.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/performance/bottleneck-detector/commands/detect-bottlenecks.md, shared under the repository's MIT license. Read the full file on GitHub.

Identify and resolve performance bottlenecks across the application stack.

Detection Areas

  1. CPU Bottlenecks: Computation-heavy operations
  2. Memory Bottlenecks: Memory allocation/deallocation issues
  3. I/O Bottlenecks: Disk and network operations
  4. Database Bottlenecks: Query performance issues
  5. Lock Contention: Synchronization overhead
  6. Resource Exhaustion: Connection pools, file descriptors

Process

  1. Analyze application architecture and data flow
  2. Identify potential bottleneck locations
  3. Review code for common bottleneck patterns
  4. Evaluate resource utilization
  5. Generate prioritized remediation plan

Output

Provide comprehensive report with:

  • Identified bottlenecks with severity ratings
  • Root cause analysis for each bottleneck
  • Impact assessment on overall performance
  • Specific remediation strategies with code examples
  • Monitoring recommendations to prevent recurrence
  • Priority order for addressing issues

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Detect Bottlenecks?

Detect Bottlenecks is a slash command for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Detect performance bottlenecks in application

How do I install Detect Bottlenecks in Claude Code?

Download detect-bottlenecks.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name.

Can I use Detect Bottlenecks in Claude Cowork?

Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.

Is Detect Bottlenecks safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.