performance-triage-and-bottleneck-hunting

performance-triage-and-bottleneck-hunting is a skill for Claude Code, Codex from andrewsrigom/agent-skills. It costs 49 tokens per session (696 once invoked), scanned A, original, MIT.

A guide for finding the main cause of a slow page, interaction, route, or API request. It separates possible costs in the network, server, database, rendering, and JavaScript bundle.

In plain words
What is it for?
Use it to turn vague reports such as “the page feels slow” into a measurable bottleneck and route the work to the right performance guide.
Why use it?
It prevents developers from changing random parts of the system before knowing which layer is responsible for the delay.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to turn vague reports such as “the page feels slow” into a measurable bottleneck and route the work to the right performance guide.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andrewsrigom/agent-skills/performance-triage-and-bottleneck-hunting
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add andrewsrigom/agent-skills --skill performance-triage-and-bottleneck-hunting
Clone the repo
git clone --depth 1 https://github.com/andrewsrigom/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for performance-triage-and-bottleneck-hunting

README.md
[![agentmods](https://agentmods.dev/badge/skills/andrewsrigom/agent-skills/performance-triage-and-bottleneck-hunting/github.svg)](https://agentmods.dev/skills/andrewsrigom/agent-skills/performance-triage-and-bottleneck-hunting)
Your own site
<a href="https://agentmods.dev/skills/andrewsrigom/agent-skills/performance-triage-and-bottleneck-hunting"><img src="https://agentmods.dev/badge/skills/andrewsrigom/agent-skills/performance-triage-and-bottleneck-hunting/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for performance-triage-and-bottleneck-hunting

Your own site · 80×15
<a href="https://agentmods.dev/skills/andrewsrigom/agent-skills/performance-triage-and-bottleneck-hunting"><img src="https://agentmods.dev/badge/skills/andrewsrigom/agent-skills/performance-triage-and-bottleneck-hunting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 696 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00696
Opus 5 $0.00024 $0.00348
Sonnet 5 $0.00010 $0.00139
Haiku 4.5 $0.00005 $0.00070

Measured 12d ago against content hash 150e5e8f6aa8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

performance-triage-and-bottleneck-hunting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

performance/performance-triage-and-bottleneck-hunting/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Performance Triage And Bottleneck Hunting

Use this skill when the real problem is finding the bottleneck, not prematurely applying optimizations.

Scope

  • slow pages, routes, interactions, and API endpoints
  • unclear ownership between network, server, database, render, and bundle cost
  • deciding whether performance work belongs to Next.js, React, Node.js, or infrastructure
  • turning vague “this feels slow” reports into measurable bottlenecks

Routing cues

  • slow route, slow page load, high TTFB, bad interaction latency, render lag, hydration cost, p95 regression, or “where is the bottleneck” -> use this skill
  • once the dominant cost is clearly React rerenders or state blast radius -> use react-render-performance-and-state-boundaries
  • once the dominant cost is clearly Next.js route rendering, bundle, or client boundary cost -> use nextjs-performance-and-render-cost
  • once the dominant cost is clearly API latency or server throughput -> use nodejs-api-latency-and-throughput
  • once the bottleneck is already known and the task is measurement discipline -> use profiling-before-optimizing

Default path

  1. Restate the user-visible symptom in one sentence.
  2. Choose one primary metric that represents the pain:
    • route TTFB
    • interaction latency
    • slow API duration
    • render or hydration time
    • memory growth or CPU saturation
  3. Identify the likely owning layer before editing code:
    • network and third-party
    • server and database
    • React render tree
    • client bundle and hydration
  4. Measure one representative path end to end.
  5. Name the dominant bottleneck and only then route to the narrower optimization skill.

When to deviate

  • Use synthetic benchmarks only when the real user path is unavailable or too noisy.
  • Start with production telemetry when it already exists and the local reproduction is misleading.
  • Split into multiple bottlenecks only when one path truly has more than one dominant cost center.

Guardrails

Read the full file on GitHub · 83 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 83 lines · 49 tokens per session scan A 150e5e8f6aa8

Subscribe to this mod's changes

performance-triage-and-bottleneck-hunting is a skill published in the GitHub repository andrewsrigom/agent-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 696 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

diagnose

Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.

emdash-cms/emdash · 43 tokens

repro-admin

Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.

emdash-cms/emdash · 48 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

byted-util-volcengine-detect-retry

An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.

bytedance/agentkit-samples · 101 tokens