Happy Infra Metrics and Grafana
slopus/happy
Queries live Prometheus metrics and manages Grafana dashboards as code for Happy's infrastructure, using the grafanactl CLI and the Grafana datasource proxy API.
Set up Customer.io monitoring and observability. An agent skill from jeremylongshore/tons-of-skills-marketplace.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-observability --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-observability .claude/skills/customerio-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-observability into .claude/skills/customerio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-observability", 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-observabilityType 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-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-observability --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-observability .agents/skills/customerio-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-observability into .agents/skills/customerio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-observability", 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-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-observability --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-observability .cursor/skills/customerio-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-observability into .cursor/skills/customerio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-observability", 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-observability--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-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace customerio-observability --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-observability .gemini/skills/customerio-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-observability into .gemini/skills/customerio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-observability", 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-observabilityInstalls 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-observability -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-observability .github/skills/customerio-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-observability into .github/skills/customerio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-observability", 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-observability -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-observability --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-observability .opencode/skills/customerio-observability && 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-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/customerio-observability into .opencode/skills/customerio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customerio-observability", 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-observabilitySet up Customer.io monitoring and observability. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Customerio Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up Customer.io monitoring and observability. Use when implementing metrics, structured logging, alerting, or Grafana dashboards for Customer.io integrations. Trigger: "customer.io monitoring", "customer.io metrics", "customer.io dashboard", "customer.io alerts", "customer.io observability".
Its SKILL.md is about 2.8k 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 DevOps & Cloud, covering Observability and Monitoring and alerting. It works with Grafana and Prometheus. 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.
7 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, json and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
prometheus.iografana.comgetpino.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From 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 Observability loads about 2.8k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 290 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). 290 words, ~2,812 tokens.
.claude/skills/customerio-observability/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Emit an aggregate counter for accepted events and failures by environment and endpoint, never by email address, customer ID, message body, API key, or full payload. Trigger a staging alert with a harmless test event, verify the on-call route, then restore the normal state and record the alert receipt.
Implement comprehensive observability for Customer.io integrations: Prometheus metrics (latency, error rates, delivery funnel), structured JSON logging with PII redaction, OpenTelemetry tracing, and Grafana dashboard definitions.
| Metric | Type | Description | Alert Threshold |
|---|---|---|---|
cio_api_duration_ms | Histogram | API call latency | p99 > 5000ms |
cio_api_requests_total | Counter | Total API requests by operation | N/A (rate) |
cio_api_errors_total | Counter | API errors by status code | > 1% error rate |
cio_email_sent_total | Counter | Transactional + campaign emails | N/A |
cio_email_bounced_total | Counter | Bounce count | > 5% of sends |
cio_email_complained_total | Counter | Spam complaints | > 0.1% of sends |
cio_webhook_received_total | Counter | Webhook events by metric type | N/A |
cio_queue_depth | Gauge | Pending items in event queue | > 10K |
// lib/customerio-metrics.ts
import { Counter, Histogram, Gauge, Registry } from "prom-client";
const registry = new Registry();
export const cioMetrics = {
apiDuration: new Histogram({
name: "cio_api_duration_ms",
help: "Customer.io API call duration in milliseconds",
labelNames: ["operation", "status"] as const,
buckets: [10, 25, 50, 100, 250, 500, 1000, 2500, 5000],
registers: [registry],
}),
apiRequests: new Counter({
name: "cio_api_requests_total",
help: "Total Customer.io API requests",
labelNames: ["operation"] as const,
registers: [registry],
}),
apiErrors: new Counter({
name: "cio_api_errors_total",
help: "Customer.io API errors",
labelNames: ["operation", "status_code"] as const,
registers: [registry],
}),
emailSent: new Counter({
name: "cio_email_sent_total",
help: "Emails sent via Customer.io",
labelNames: ["type"] as const, // "transactional" or "campaign"
registers: [registry],
}),
emailBounced: new Counter({
name: "cio_email_bounced_total",
help: "Email bounces from Customer.io webhooks",
registers: [registry],
}),
emailComplained: new Counter({
name: "cio_email_complained_total",
help: "Spam complaints from Customer.io webhooks",
registers: [registry],
}),
webhookReceived: new Counter({
name: "cio_webhook_received_total",
help: "Webhook events received",
labelNames: ["metric"] as const,
registers: [registry],
}),
queueDepth: new Gauge({
name: "cio_queue_depth",
help: "Pending items in Customer.io event queue",
labelNames: ["queue"] as const,
registers: [registry],
}),
};
export { registry };// lib/customerio-instrumented.ts
import { TrackClient, APIClient, SendEmailRequest, RegionUS } from "customerio-node";
import { cioMetrics } from "./customerio-metrics";
export class InstrumentedCioClient {
private track: TrackClient;
private app: APIClient;
constructor(siteId: string, trackKey: string, appKey: string) {
this.track = new TrackClient(siteId, trackKey, { region: RegionUS });
this.app = new APIClient(appKey, { region: RegionUS });
}
async identify(userId: string, attrs: Record<string, any>): Promise<void> {
const timer = cioMetrics.apiDuration.startTimer({ operation: "identify" });
cioMetrics.apiRequests.inc({ operation: "identify" });
try {
await this.track.identify(userId, attrs);
timer({ status: "success" });
} catch (err: any) {
const code = String(err.statusCode ?? "unknown");
timer({ status: "error" });
cioMetrics.apiErrors.inc({ operation: "identify", status_code: code });
throw err;
}
}
async trackEvent(
userId: string,
name: string,
data?: Record<string, any>
): Promise<void> {
const timer = cioMetrics.apiDuration.startTimer({ operation: "track" });
cioMetrics.apiRequests.inc({ operation: "track" });
try {
await this.track.track(userId, { name, data });
timer({ status: "success" });
} catch (err: any) {
timer({ status: "error" });
cioMetrics.apiErrors.inc({
operation: "track",
status_code: String(err.statusCode ?? "unknown"),
});
throw err;
}
}
async sendEmail(request: SendEmailRequest): Promise<any> {
const timer = cioMetrics.apiDuration.startTimer({ operation: "send_email" });
cioMetrics.apiRequests.inc({ operation: "send_email" });
try {
const result = await this.app.sendEmail(request);
timer({ status: "success" });
cioMetrics.emailSent.inc({ type: "transactional" });
return result;
} catch (err: any) {
timer({ status: "error" });
cioMetrics.apiErrors.inc({
operation: "send_email",
status_code: String(err.statusCode ?? "unknown"),
});
throw err;
}
}
}// lib/customerio-logger.ts
import pino from "pino";
const logger = pino({
name: "customerio",
level: process.env.CUSTOMERIO_LOG_LEVEL ?? "info",
redact: {
paths: [
"*.email",
"*.phone",
"*.ip_address",
"*.password",
"attrs.email",
"attrs.phone",
],
censor: "[REDACTED]",
},
});
export function logCioOperation(
operation: string,
data: {
userId?: string;
event?: string;
latencyMs?: number;
statusCode?: number;
error?: string;
attrs?: Record<string, any>;
}
): void {
if (data.error) {
logger.error({ operation, ...data }, `CIO ${operation} failed`);
} else {
logger.info({ operation, ...data }, `CIO ${operation} completed`);
}
}
// Usage:
// logCioOperation("identify", {
// userId: "user-123",
// latencyMs: 85,
// attrs: { email: "user@example.com", plan: "pro" }
// });
// Output: {"level":"info","operation":"identify","userId":"user-123",
// "latencyMs":85,"attrs":{"email":"[REDACTED]","plan":"pro"},
// "msg":"CIO identify completed"}// Integrate with webhook handler (see customerio-webhooks-events skill)
function recordWebhookMetrics(event: { metric: string }): void {
cioMetrics.webhookReceived.inc({ metric: event.metric });
switch (event.metric) {
case "bounced":
cioMetrics.emailBounced.inc();
break;
case "spammed":
cioMetrics.emailComplained.inc();
break;
case "sent":
cioMetrics.emailSent.inc({ type: "campaign" });
break;
}
}// routes/metrics.ts
import { Router } from "express";
import { registry } from "../lib/customerio-metrics";
const router = Router();
router.get("/metrics", async (_req, res) => {
res.set("Content-Type", registry.contentType);
res.end(await registry.metrics());
});
export default router;{
"title": "Customer.io Integration",
"panels": [
{
"title": "API Latency (p50/p95/p99)",
"type": "timeseries",
"targets": [
{ "expr": "histogram_quantile(0.50, rate(cio_api_duration_ms_bucket[5m]))" },
{ "expr": "histogram_quantile(0.95, rate(cio_api_duration_ms_bucket[5m]))" },
{ "expr": "histogram_quantile(0.99, rate(cio_api_duration_ms_bucket[5m]))" }
]
},
{
"title": "Request Rate by Operation",
"type": "timeseries",
"targets": [
{ "expr": "rate(cio_api_requests_total[5m])" }
]
},
{
"title": "Error Rate %",
"type": "stat",
"targets": [
{ "expr": "rate(cio_api_errors_total[5m]) / rate(cio_api_requests_total[5m]) * 100" }
]
},
{
"title": "Email Delivery Funnel",
"type": "bargauge",
"targets": [
{ "expr": "cio_email_sent_total" },
{ "expr": "cio_email_bounced_total" },
{ "expr": "cio_email_complained_total" }
]
}
]
}# prometheus/customerio-alerts.yml
groups:
- name: customerio
rules:
- alert: CioHighErrorRate
expr: rate(cio_api_errors_total[5m]) / rate(cio_api_requests_total[5m]) > 0.05
for: 5m
labels: { severity: critical }
annotations:
summary: "Customer.io API error rate > 5%"
- alert: CioHighLatency
expr: histogram_quantile(0.99, rate(cio_api_duration_ms_bucket[5m])) > 5000
for: 5m
labels: { severity: warning }
annotations:
summary: "Customer.io p99 latency > 5 seconds"
- alert: CioHighBounceRate
expr: rate(cio_email_bounced_total[1h]) / rate(cio_email_sent_total[1h]) > 0.05
for: 15m
labels: { severity: warning }
annotations:
summary: "Email bounce rate > 5%"
- alert: CioSpamComplaints
expr: rate(cio_email_complained_total[1h]) / rate(cio_email_sent_total[1h]) > 0.001
for: 5m
labels: { severity: critical }
annotations:
summary: "Spam complaint rate > 0.1% — sender reputation at risk"| Issue | Solution |
|---|---|
| High cardinality metrics | Don't use userId as a label — use operation + status only |
| Log volume too high | Set CUSTOMERIO_LOG_LEVEL=warn in production |
| Missing metrics | Check metric registration and scrape config |
| PII in logs | Verify pino redact paths cover all sensitive fields |
After observability setup, proceed to customerio-advanced-troubleshooting for debugging.
© 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-observability of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Customerio Observability 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 Observability this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Happy Infra Metrics and Grafanaslopus/happy | 24k | — | ~2k | Automated safety check: Notes | MIT | |
| Archestra Dev Observabilityarchestra-ai/archestra | 4.4k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Frontmcp Observabilityagentfront/frontmcp | 146 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Monitoring Observabilityahmedasmar/devops-claude-skills | 203 | — | ~3.9k | Automated safety check: Pass | None | |
| Monitoring ExpertJeffallan/claude-skills | 12k | — | ~1.6k | Automated safety check: Pass | MIT |
slopus/happy
Queries live Prometheus metrics and manages Grafana dashboards as code for Happy's infrastructure, using the grafanactl CLI and the Grafana datasource proxy API.
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
agentfront/frontmcp
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
ahmedasmar/devops-claude-skills
Monitoring and observability strategy, implementation, and troubleshooting.
Jeffallan/claude-skills
Sets up application monitoring: structured logs, Prometheus metrics, OpenTelemetry tracing, Grafana dashboards, alert rules and load tests with k6 or Artillery.
grafana/skills
Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo /…
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
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
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Set up Customer.io monitoring and observability. An agent skill from jeremylongshore/tons-of-skills-marketplace. Customerio Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace.io monitoring and observability.
Customerio Observability fits situations like: implementing metrics; structured logging; grafana dashboards for Customer.io integrations.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-observability -a claude-code`. Or copy the skill folder (skills/.curated/customerio-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/customerio-observability in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill customerio-observability -a codex`. Or copy the skill folder (skills/.curated/customerio-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/customerio-observability 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-observability -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-observability, .gemini/skills/customerio-observability, .github/skills/customerio-observability and .opencode/skills/customerio-observability in your project.
SKILL.md names no scripts, command-line tools or credentials: Customerio Observability is instructions for the agent only. 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 3 domains. As links in the text: prometheus.io, grafana.com and getpino.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 Observability is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k 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 3.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Customerio Observability: Happy Infra Metrics and Grafana (slopus/happy, 24k stars), Archestra Dev Observability (archestra-ai/archestra, 4.4k stars), Frontmcp Observability (agentfront/frontmcp, 146 stars) and Monitoring Observability (ahmedasmar/devops-claude-skills, 203 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.