hex-performance-tuning
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".
Best use case
hex-performance-tuning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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".
Teams using hex-performance-tuning should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/hex-performance-tuning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How hex-performance-tuning Compares
| Feature / Agent | hex-performance-tuning | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Hex Performance Tuning
## Latency Benchmarks
| Operation | Typical Duration |
|-----------|-----------------|
| ListProjects | 200-500ms |
| RunProject (trigger) | 500ms-2s |
| Project execution | 10s-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
}
}
```
## Resources
- [Hex API](https://learn.hex.tech/docs/api/api-overview)Related Skills
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