Redis Connections
redis/agent-skills
Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket…
Agent skill
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Optimize Customer.io API performance for high throughput. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-performance-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-performance-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/customerio-performance-tuning .claude/skills/customerio-performance-tuning && rm -rf skills-srcUse ~/.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/
Install the "customerio-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-performance-tuning into .claude/skills/customerio-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-performance-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-performance-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-performance-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-performance-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/customerio-performance-tuning .agents/skills/customerio-performance-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "customerio-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-performance-tuning into .agents/skills/customerio-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-performance-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-performance-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-performance-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/customerio-performance-tuning .cursor/skills/customerio-performance-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "customerio-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-performance-tuning into .cursor/skills/customerio-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-performance-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/customerio-performance-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-performance-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-performance-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/customerio-performance-tuning .gemini/skills/customerio-performance-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "customerio-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-performance-tuning into .gemini/skills/customerio-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-performance-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-performance-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-performance-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/customerio-performance-tuning .github/skills/customerio-performance-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "customerio-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-performance-tuning into .github/skills/customerio-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-performance-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-performance-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-performance-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/customerio-performance-tuning .opencode/skills/customerio-performance-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "customerio-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-performance-tuning into .opencode/skills/customerio-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-performance-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
customerio-performance-tuningOptimize Customer.io API performance for high throughput. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Customerio Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Customer.io API performance for high throughput. Use when improving response times, implementing connection pooling, batching, caching, or regional routing. Trigger: "customer.io performance", "optimize customer.io", "customer.io latency", "customer.io connection pooling".
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/implementation-guide.md` and `references/implementation.md`). Compatibility notes: Designed for Claude Code
It sits in Databases, covering Database administration and Caching. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(npm:*)Bash(npx:*)GlobGrepFrom allowed-tools in the SKILL.md frontmatter.
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.
Links to these hosts (documentation or services it may open):
docs.customer.ioFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
CUSTOMERIO_TRACK_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Customerio Performance Tuning loads about 2.4k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 241 words of instructions outside code blocks.
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.
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.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 241 words, ~2,393 tokens.
.claude/skills/customerio-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Measure event throughput, response latency, error rate, and queue depth in a development workspace using synthetic payloads. Change one batch/concurrency parameter, compare against the baseline, and revert if errors, rate limits, or message ordering regress. Do not increase concurrency by replaying production recipient data.
Optimize Customer.io API performance for high-volume integrations: HTTP connection pooling, identify deduplication caching, event batching with flush control, fire-and-forget async tracking, and regional routing.
customerio-observability)| Operation | Baseline | Optimized | Technique |
|---|---|---|---|
| Single identify | ~200ms | ~80ms | Connection pooling |
| Single track | ~200ms | ~80ms | Connection pooling |
| 100 events batch | ~20s serial | ~500ms | Parallel batching |
| Duplicate identify | ~200ms | ~0ms | Dedup cache |
| Non-critical track | Blocking | Non-blocking | Fire-and-forget |
// lib/customerio-pooled.ts
import { TrackClient, RegionUS } from "customerio-node";
import https from "https";
// The customerio-node SDK creates new connections by default.
// Reuse connections with a keep-alive agent.
const agent = new https.Agent({
keepAlive: true,
maxSockets: 25, // Max concurrent connections
maxFreeSockets: 10, // Keep idle connections open
timeout: 30000, // 30s socket timeout
keepAliveMsecs: 15000, // TCP keep-alive probe interval
});
// Apply to the SDK by creating a singleton with the agent
// Note: customerio-node doesn't directly accept an agent,
// but we configure Node.js global agent for HTTPS
https.globalAgent = agent;
// Singleton client — one instance = one connection pool
const cio = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_TRACK_API_KEY!,
{ region: RegionUS }
);
export { cio };// lib/customerio-dedup.ts
// Skip duplicate identify() calls within a time window
class LRUCache<K, V> {
private map = new Map<K, V>();
constructor(private maxSize: number) {}
get(key: K): V | undefined {
const val = this.map.get(key);
if (val !== undefined) {
// Move to end (most recent)
this.map.delete(key);
this.map.set(key, val);
}
return val;
}
set(key: K, val: V): void {
this.map.delete(key);
this.map.set(key, val);
if (this.map.size > this.maxSize) {
const oldest = this.map.keys().next().value;
this.map.delete(oldest!);
}
}
}
import { createHash } from "crypto";
import { TrackClient, RegionUS } from "customerio-node";
const identifyCache = new LRUCache<string, number>(10_000);
const DEDUP_TTL_MS = 5 * 60 * 1000; // 5 minutes
const cio = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_TRACK_API_KEY!,
{ region: RegionUS }
);
export async function dedupIdentify(
userId: string,
attrs: Record<string, any>
): Promise<void> {
// Create a hash of userId + attributes
const hash = createHash("sha256")
.update(userId + JSON.stringify(attrs))
.digest("hex")
.substring(0, 16);
const cached = identifyCache.get(hash);
if (cached && Date.now() - cached < DEDUP_TTL_MS) {
return; // Skip — identical identify() call within TTL window
}
await cio.identify(userId, attrs);
identifyCache.set(hash, Date.now());
}// lib/customerio-batch.ts
import { TrackClient, RegionUS } from "customerio-node";
interface BatchItem {
type: "identify" | "track";
userId: string;
data: Record<string, any>;
}
export class CioBatchProcessor {
private buffer: BatchItem[] = [];
private timer: NodeJS.Timeout | null = null;
private client: TrackClient;
private processing = false;
constructor(
private readonly maxBatchSize = 100,
private readonly flushIntervalMs = 3000,
private readonly concurrency = 15
) {
this.client = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_TRACK_API_KEY!,
{ region: RegionUS }
);
this.startFlushTimer();
}
add(item: BatchItem): void {
this.buffer.push(item);
if (this.buffer.length >= this.maxBatchSize) {
this.flush();
}
}
async flush(): Promise<void> {
if (this.processing || this.buffer.length === 0) return;
this.processing = true;
const batch = this.buffer.splice(0, this.maxBatchSize);
const startMs = Date.now();
// Process in parallel chunks
for (let i = 0; i < batch.length; i += this.concurrency) {
const chunk = batch.slice(i, i + this.concurrency);
const results = await Promise.allSettled(
chunk.map((item) =>
item.type === "identify"
? this.client.identify(item.userId, item.data)
: this.client.track(item.userId, item.data)
)
);
const failed = results.filter((r) => r.status === "rejected").length;
if (failed > 0) {
console.warn(`CIO batch: ${failed}/${chunk.length} failed`);
}
}
const elapsed = Date.now() - startMs;
console.log(`CIO batch: ${batch.length} items in ${elapsed}ms`);
this.processing = false;
}
private startFlushTimer(): void {
this.timer = setInterval(() => this.flush(), this.flushIntervalMs);
}
async shutdown(): Promise<void> {
if (this.timer) clearInterval(this.timer);
await this.flush();
}
}// lib/customerio-async.ts
// For non-critical analytics events — don't block the request path
import { TrackClient, RegionUS } from "customerio-node";
const cio = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_TRACK_API_KEY!,
{ region: RegionUS }
);
export function fireAndForgetTrack(
userId: string,
eventName: string,
data?: Record<string, any>
): void {
// No await — returns immediately
cio
.track(userId, { name: eventName, data })
.catch((err) => console.error(`CIO async track failed: ${err.message}`));
}
// Usage in Express route — does NOT slow down response
router.get("/dashboard", async (req, res) => {
fireAndForgetTrack(req.user.id, "dashboard_viewed", {
timestamp: Math.floor(Date.now() / 1000),
});
const data = await loadDashboardData(req.user.id);
res.json(data); // Returns immediately without waiting for CIO
});// lib/customerio-region.ts
import { TrackClient, APIClient, RegionUS, RegionEU } from "customerio-node";
// Route to nearest Customer.io region based on configuration
// US accounts: track.customer.io / api.customer.io
// EU accounts: track-eu.customer.io / api-eu.customer.io
interface CioRegionalConfig {
us: { siteId: string; trackKey: string; appKey: string };
eu: { siteId: string; trackKey: string; appKey: string };
}
function getClientForUser(
config: CioRegionalConfig,
userRegion: "us" | "eu"
): { track: TrackClient; api: APIClient } {
const creds = config[userRegion];
const region = userRegion === "eu" ? RegionEU : RegionUS;
return {
track: new TrackClient(creds.siteId, creds.trackKey, { region }),
api: new APIClient(creds.appKey, { region }),
};
}// Wrap operations to measure latency
async function timedCioCall<T>(
operation: string,
fn: () => Promise<T>
): Promise<T> {
const start = Date.now();
try {
const result = await fn();
const elapsed = Date.now() - start;
console.log(`CIO ${operation}: ${elapsed}ms`);
return result;
} catch (err) {
const elapsed = Date.now() - start;
console.error(`CIO ${operation} FAILED: ${elapsed}ms`);
throw err;
}
}| Issue | Solution |
|---|---|
| High p99 latency | Enable connection pooling, check DNS resolution |
| Timeout errors | Increase timeout, reduce payload size |
| Memory growth | Cap LRU cache size, limit batch buffer |
| Dedup cache misses | Increase TTL if same identify calls are >5min apart |
After performance tuning, proceed to customerio-cost-tuning for cost optimization.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/.curated/customerio-performance-tuning of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Customerio 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Customerio Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Redis Connectionsredis/agent-skills | 166 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Frappe Core DatabaseImpertio-Studio/Frappe_Claude_Skill_Package | 189 | — | ~3.8k | Automated safety check: Pass | MIT | |
| AWS Cloudformation Elasticachegiuseppe-trisciuoglio/developer-kit | 357 | — | ~1.5k | Automated safety check: Notes | MIT | |
| Veloxdb Scalable Performanceveloxbase/veloxdb | 652 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Golang Samber Hotsamber/cc-skills-golang | 3.4k | — | ~2k | Automated safety check: Pass | MIT |
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jeremylongshore/tons-of-skills-marketplace
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jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
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jeremylongshore/tons-of-skills-marketplace
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jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Categories
Optimize Customer.io API performance for high throughput. An agent skill from jeremylongshore/tons-of-skills-marketplace. Customerio Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace.io API performance for high throughput.
Customerio Performance Tuning fits situations like: improving response times; implementing connection pooling; regional routing.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/customerio-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/customerio-performance-tuning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/customerio-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/customerio-performance-tuning in your project. Codex loads it when a task matches its description.
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 customerio-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/customerio-performance-tuning, .gemini/skills/customerio-performance-tuning, .github/skills/customerio-performance-tuning and .opencode/skills/customerio-performance-tuning in your project.
Going by SKILL.md and its folder, Customerio Performance Tuning needs credentials named CUSTOMERIO_TRACK_API_KEY. Our summary lists: Node.js; A credential in CUSTOMERIO_TRACK_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(npx:*), Glob, Grep. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 1 domain. As links in the text: docs.customer.io. This is read from the text; nothing was executed.
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.
Customerio 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.
About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Customerio Performance Tuning: Redis Connections (redis/agent-skills, 166 stars), Frappe Core Database (Impertio-Studio/Frappe_Claude_Skill_Package, 189 stars), AWS Cloudformation Elasticache (giuseppe-trisciuoglio/developer-kit, 357 stars) and Veloxdb Scalable Performance (veloxbase/veloxdb, 652 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.