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Agent skill

Hex Performance Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Optimize Hex API performance with caching, batching, and connection pooling.

MITAuto-check passedDatabases

Install Hex Performance Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill hex-performance-tuning -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace hex-performance-tuning --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/hex-performance-tuning .claude/skills/hex-performance-tuning && 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
hex-performance-tuning
GitHub stars
2.8k
Token cost
~779 tokens
SKILL.md length
151 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize Hex API performance with caching, batching, and connection pooling.

  • Experiencing slow API responses
  • SKILL.md covers Latency Benchmarks, Instructions, Overview and Prerequisites, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Implementing caching strategies

What it does

Hex Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Hex API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Hex integrations. Trigger with phrases like "hex performance", "optimize hex", "hex latency", "hex caching", "hex slow", "hex batch".

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Databases, covering Caching and Database administration. 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. The licence is MIT.

When your agent uses it

  • Experiencing slow API responses
  • Implementing caching strategies
  • Optimizing request throughput for Hex integrations
  • With phrases like hex performance

Example prompts

  • “hex performance”
  • “optimize hex”
  • “hex latency”
  • “/hex-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

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

  • Network

    Links to these hosts (documentation or services it may open):

    • learn.hex.tech

    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.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Hex Performance Tuning loads about 779 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 151 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~779

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 151 words, ~779 tokens.

Download SKILL.mdSave it as .claude/skills/hex-performance-tuning/SKILL.md (or your agent's skills folder).
name
hex-performance-tuning
description
Optimize Hex API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Hex integrations. Trigger with phrases like "hex performance", "optimize hex", "hex latency", "hex caching", "hex slow", "hex batch".
allowed-tools
Read, Write, Edit
compatibility
Designed for Claude Code
version
1.6.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, hex, data, analytics

Hex Performance Tuning

Latency Benchmarks

OperationTypical Duration
ListProjects200-500ms
RunProject (trigger)500ms-2s
Project execution10s-30min (depends on queries)
GetRunStatus (poll)100-300ms

Instructions

Cache Project Lists
typescript
import { LRUCache } from 'lru-cache';
const projectCache = new LRUCache<string, any>({ max: 50, ttl: 300000 }); // 5 min

async function getCachedProjects(client: HexClient) {
  const cached = projectCache.get('projects');
  if (cached) return cached;
  const projects = await client.listProjects();
  projectCache.set('projects', projects);
  return projects;
}
Parallel Independent Runs
typescript
// Run independent projects in parallel (respecting rate limits)
async function parallelRuns(client: HexClient, configs: Array<{ id: string; params: any }>) {
  return Promise.allSettled(
    configs.map(c => runWithRetry(client, c.id, c.params))
  );
}
Optimize Poll Interval
typescript
// Adaptive polling: start fast, slow down
async function adaptivePoll(client: HexClient, projectId: string, runId: string) {
  let interval = 2000; // Start at 2s
  while (true) {
    const status = await client.getRunStatus(projectId, runId);
    if (['COMPLETED', 'ERRORED', 'KILLED'].includes(status.status)) return status;
    await new Promise(r => setTimeout(r, interval));
    interval = Math.min(interval * 1.5, 30000); // Max 30s
  }
}

Overview

Tune run latency and throughput using safe sandbox projects and aggregate metrics. A gain is invalid if it expands data scope, compromises output correctness, exceeds quota, or makes rollback impossible.

Prerequisites

  • Baseline latency/run metrics, safe fixture revision, approved error budget, and a rollback revision for cache, concurrency, parameters, and retry policy.

Output

Return a tuning receipt with baseline/canary percentile bands, cache/concurrency/parameter revisions, quota/error outcomes, aggregate assertion, owner approval, and rollback reference. Use aggregates only.

Error Handling

Roll back for quota saturation, increased errors, changed output assertion, access drift, or duplicate runs. Do not raise concurrency or cache duration to hide a failing dependency.

Examples

env=sandbox; p95=420ms->310ms; concurrency=2; cache=r4; quota=within-budget; assertions=pass; rollback=perf-r3 documents a safe canary.

Resources

© jeremylongshore, 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 skills/.curated/hex-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Hex Performance Tuning 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.

Hex Performance Tuning compared with similar skills
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Categories

Questions about Hex Performance Tuning

What does Hex Performance Tuning do?

Optimize Hex API performance with caching, batching, and connection pooling. Hex Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Hex API performance with caching, batching, and connection pooling.

When should I use Hex Performance Tuning?

Hex Performance Tuning fits situations like: experiencing slow API responses; implementing caching strategies; optimizing request throughput for Hex integrations; with phrases like hex performance.

How do I install Hex Performance Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill hex-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/hex-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/hex-performance-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Hex Performance Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill hex-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/hex-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/hex-performance-tuning in your project. Codex loads it when a task matches its description.

Can I use Hex Performance Tuning 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 jeremylongshore/tons-of-skills-marketplace --skill hex-performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hex-performance-tuning, .gemini/skills/hex-performance-tuning, .github/skills/hex-performance-tuning and .opencode/skills/hex-performance-tuning in your project.

What does Hex Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Hex Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Hex Performance Tuning access the network?

SKILL.md names 1 domain. As links in the text: learn.hex.tech. This is read from the text; nothing was executed.

Is Hex Performance Tuning 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 Hex Performance Tuning use?

Hex Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hex Performance Tuning use?

About 779 tokens (SKILL.md is roughly 3.1k 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 Hex Performance Tuning?

Skills that share tags, products or a category with Hex Performance Tuning: Redis Connections (redis/agent-skills, 166 stars), Golang Samber Hot (samber/cc-skills-golang, 3.4k stars), Frappe Core Database (Impertio-Studio/Frappe_Claude_Skill_Package, 189 stars) and Golang Samber Hot (context-labs/whip, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hex Performance Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

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