Motel Debug
kitlangton/motel
Debug applications with motel, a local OpenTelemetry ingest and query server.
OpenTelemetry observability - tracing, metrics, logs, instrumentation, and context propagation patterns When user works with OpenTelemetry, adds tracing/metrics/logging, configures exporters, or…
$ npx skills add shepherdjerred/monorepo --skill otel-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shepherdjerred/monorepo otel-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/shepherdjerred/monorepo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/dotfiles/dot_agents/skills/otel-observability .claude/skills/otel-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 "otel-observability" agent skill from https://github.com/shepherdjerred/monorepo/tree/main/packages/dotfiles/dot_agents/skills/otel-observability into .claude/skills/otel-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "otel-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/shepherdjerred/monorepo/tree/main/packages/dotfiles/dot_agents/skills/otel-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 shepherdjerred/monorepo --skill otel-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shepherdjerred/monorepo otel-observability --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shepherdjerred/monorepo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/dotfiles/dot_agents/skills/otel-observability .agents/skills/otel-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 "otel-observability" agent skill from https://github.com/shepherdjerred/monorepo/tree/main/packages/dotfiles/dot_agents/skills/otel-observability into .agents/skills/otel-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "otel-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 shepherdjerred/monorepo --skill otel-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shepherdjerred/monorepo otel-observability --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shepherdjerred/monorepo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/dotfiles/dot_agents/skills/otel-observability .cursor/skills/otel-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 "otel-observability" agent skill from https://github.com/shepherdjerred/monorepo/tree/main/packages/dotfiles/dot_agents/skills/otel-observability into .cursor/skills/otel-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "otel-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/shepherdjerred/monorepo.git --path packages/dotfiles/dot_agents/skills/otel-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 shepherdjerred/monorepo --skill otel-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shepherdjerred/monorepo otel-observability --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shepherdjerred/monorepo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/dotfiles/dot_agents/skills/otel-observability .gemini/skills/otel-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 "otel-observability" agent skill from https://github.com/shepherdjerred/monorepo/tree/main/packages/dotfiles/dot_agents/skills/otel-observability into .gemini/skills/otel-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "otel-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 shepherdjerred/monorepo otel-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 shepherdjerred/monorepo --skill otel-observability -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shepherdjerred/monorepo.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/dotfiles/dot_agents/skills/otel-observability .github/skills/otel-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 "otel-observability" agent skill from https://github.com/shepherdjerred/monorepo/tree/main/packages/dotfiles/dot_agents/skills/otel-observability into .github/skills/otel-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "otel-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 shepherdjerred/monorepo --skill otel-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 shepherdjerred/monorepo otel-observability --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shepherdjerred/monorepo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/dotfiles/dot_agents/skills/otel-observability .opencode/skills/otel-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 "otel-observability" agent skill from https://github.com/shepherdjerred/monorepo/tree/main/packages/dotfiles/dot_agents/skills/otel-observability into .opencode/skills/otel-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "otel-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.
otel-observabilityOpenTelemetry observability - tracing, metrics, logs, instrumentation, and context propagation patterns When user works with OpenTelemetry, adds tracing/metrics/logging, configures exporters, or…
Otel Observability is an agent skill from shepherdjerred/monorepo. OpenTelemetry observability - tracing, metrics, logs, instrumentation, and context propagation patterns When user works with OpenTelemetry, adds tracing/metrics/logging, configures exporters, or mentions spans and observability
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Observability. It works with OpenTelemetry. The repository describes itself as: Monorepo for all of my projects. The licence is GPL-3.0.
10 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit da14ae9. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npmnodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Otel Observability loads about 4.2k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 338 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 shepherdjerred/monorepo at commit da14ae9, republished under its GPL-3.0 licence (© shepherdjerred). 338 words, ~4,227 tokens.
.claude/skills/otel-observability/SKILL.md (or your agent's skills folder).OpenTelemetry (OTel) provides three observability signals:
| Signal | Purpose | Use Case |
|---|---|---|
| Traces | Request flow across services | Debugging distributed systems |
| Metrics | Numerical measurements | Performance monitoring, alerting |
| Logs | Structured event records | Error tracking, audit trails |
| Baggage | Context propagation | Passing data across services |
# Core packages
npm install @opentelemetry/api
npm install @opentelemetry/sdk-node
npm install @opentelemetry/sdk-trace-node
npm install @opentelemetry/sdk-metrics
# Auto-instrumentation
npm install @opentelemetry/auto-instrumentations-node
# OTLP exporters
npm install @opentelemetry/exporter-trace-otlp-http
npm install @opentelemetry/exporter-metrics-otlp-http# Run with auto-instrumentation
OTEL_TRACES_EXPORTER="otlp" \
OTEL_METRICS_EXPORTER="otlp" \
OTEL_LOGS_EXPORTER="otlp" \
OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4318" \
OTEL_SERVICE_NAME="my-service" \
OTEL_RESOURCE_ATTRIBUTES="service.version=1.0.0,deployment.environment=production" \
NODE_OPTIONS="--require @opentelemetry/auto-instrumentations-node/register" \
node app.js| Variable | Description | Example |
|---|---|---|
OTEL_SERVICE_NAME | Service identifier | "user-service" |
OTEL_EXPORTER_OTLP_ENDPOINT | Collector endpoint | "http://localhost:4318" |
OTEL_TRACES_EXPORTER | Trace exporter | "otlp", "console" |
OTEL_METRICS_EXPORTER | Metrics exporter | "otlp", "prometheus" |
OTEL_LOGS_EXPORTER | Logs exporter | "otlp", "console" |
OTEL_TRACES_SAMPLER | Sampling strategy | "parentbased_always_on" |
OTEL_TRACES_SAMPLER_ARG | Sampler argument | "0.1" (10% sampling) |
// instrumentation.ts
import { NodeSDK } from "@opentelemetry/sdk-node";
import { getNodeAutoInstrumentations } from "@opentelemetry/auto-instrumentations-node";
import { OTLPTraceExporter } from "@opentelemetry/exporter-trace-otlp-http";
import { OTLPMetricExporter } from "@opentelemetry/exporter-metrics-otlp-http";
import { PeriodicExportingMetricReader } from "@opentelemetry/sdk-metrics";
const sdk = new NodeSDK({
serviceName: "my-service",
traceExporter: new OTLPTraceExporter({
url: "http://localhost:4318/v1/traces",
}),
metricReader: new PeriodicExportingMetricReader({
exporter: new OTLPMetricExporter({
url: "http://localhost:4318/v1/metrics",
}),
exportIntervalMillis: 60000,
}),
instrumentations: [getNodeAutoInstrumentations()],
});
sdk.start();
// Graceful shutdown
process.on("SIGTERM", () => {
sdk.shutdown().then(() => process.exit(0));
});// app.ts - instrumentation MUST be imported first
import "./instrumentation";
import express from "express";
// ... rest of appimport { trace } from "@opentelemetry/api";
const tracer = trace.getTracer("my-service", "1.0.0");// Automatic span management (recommended)
tracer.startActiveSpan("operation-name", (span) => {
try {
// Your code here
span.setAttribute("user.id", userId);
return result;
} catch (error) {
span.recordException(error as Error);
span.setStatus({ code: SpanStatusCode.ERROR });
throw error;
} finally {
span.end();
}
});
// Async operations
async function processOrder(orderId: string) {
return tracer.startActiveSpan("process-order", async (span) => {
try {
span.setAttribute("order.id", orderId);
const result = await orderService.process(orderId);
return result;
} finally {
span.end();
}
});
}import { SpanKind } from "@opentelemetry/api";
// CLIENT - outgoing request (HTTP client, DB call)
tracer.startActiveSpan(
"fetch-user",
{ kind: SpanKind.CLIENT },
async (span) => {
const user = await fetch("/api/users/1");
span.end();
},
);
// SERVER - incoming request (HTTP handler)
tracer.startActiveSpan("handle-request", { kind: SpanKind.SERVER }, (span) => {
// Handle incoming HTTP request
span.end();
});
// PRODUCER - message production
tracer.startActiveSpan("send-message", { kind: SpanKind.PRODUCER }, (span) => {
queue.send(message);
span.end();
});
// CONSUMER - message consumption
tracer.startActiveSpan(
"process-message",
{ kind: SpanKind.CONSUMER },
(span) => {
processMessage(message);
span.end();
},
);
// INTERNAL - internal operation (default)
tracer.startActiveSpan("calculate", { kind: SpanKind.INTERNAL }, (span) => {
const result = heavyCalculation();
span.end();
});import { SpanStatusCode } from "@opentelemetry/api";
tracer.startActiveSpan("http-request", (span) => {
// Set attributes
span.setAttribute("http.method", "GET");
span.setAttribute("http.url", "https://api.example.com/users");
span.setAttribute("http.status_code", 200);
// Set multiple attributes
span.setAttributes({
"user.id": "123",
"user.role": "admin",
"request.cached": false,
});
// Add events
span.addEvent("cache-miss", {
"cache.key": "user:123",
});
// Set status
span.setStatus({ code: SpanStatusCode.OK });
span.end();
});tracer.startActiveSpan("risky-operation", (span) => {
try {
riskyOperation();
} catch (error) {
// Record the exception
span.recordException(error as Error);
// Set error status
span.setStatus({
code: SpanStatusCode.ERROR,
message: (error as Error).message,
});
throw error;
} finally {
span.end();
}
});import { metrics } from "@opentelemetry/api";
const meter = metrics.getMeter("my-service", "1.0.0");// Create counter
const requestCounter = meter.createCounter("http.requests.total", {
description: "Total number of HTTP requests",
unit: "1",
});
// Increment
requestCounter.add(1, {
"http.method": "GET",
"http.route": "/api/users",
"http.status_code": 200,
});const activeConnections = meter.createUpDownCounter("connections.active", {
description: "Number of active connections",
unit: "1",
});
// Increment on connect
activeConnections.add(1);
// Decrement on disconnect
activeConnections.add(-1);const requestDuration = meter.createHistogram("http.request.duration", {
description: "HTTP request duration",
unit: "ms",
});
// Record value
const start = performance.now();
await handleRequest();
const duration = performance.now() - start;
requestDuration.record(duration, {
"http.method": "POST",
"http.route": "/api/orders",
});// For values that are measured periodically
const memoryUsage = meter.createObservableGauge("process.memory.heap", {
description: "Heap memory usage",
unit: "By",
});
memoryUsage.addCallback((result) => {
const usage = process.memoryUsage();
result.observe(usage.heapUsed, {
"memory.type": "heap",
});
});const cpuTime = meter.createObservableCounter("process.cpu.time", {
description: "CPU time used",
unit: "s",
});
cpuTime.addCallback((result) => {
const usage = process.cpuUsage();
result.observe(usage.user / 1e6, { "cpu.mode": "user" });
result.observe(usage.system / 1e6, { "cpu.mode": "system" });
});OpenTelemetry uses W3C Trace Context by default:
traceparent: 00-0af7651916cd43dd8448eb211c80319c-b7ad6b7169203331-01
│ │ │ │
│ │ │ └─ Flags (sampled)
│ │ └─ Parent Span ID
│ └─ Trace ID
└─ Versionimport { context, propagation, trace } from "@opentelemetry/api";
// Inject context into headers (outgoing request)
function makeRequest(url: string) {
const headers: Record<string, string> = {};
propagation.inject(context.active(), headers);
return fetch(url, { headers });
}
// Extract context from headers (incoming request)
function handleRequest(req: Request) {
const ctx = propagation.extract(context.active(), req.headers);
return context.with(ctx, () => {
return tracer.startActiveSpan("handle-request", (span) => {
// Process request
span.end();
});
});
}import { propagation, context } from "@opentelemetry/api";
// Set baggage
const baggage = propagation.createBaggage({
"user.id": { value: "123" },
"tenant.id": { value: "acme" },
});
const ctx = propagation.setBaggage(context.active(), baggage);
context.with(ctx, () => {
// Baggage is now available in this context
makeDownstreamRequest();
});
// Read baggage
const currentBaggage = propagation.getBaggage(context.active());
const userId = currentBaggage?.getEntry("user.id")?.value;import { NodeSDK } from "@opentelemetry/sdk-node";
import {
AlwaysOnSampler,
AlwaysOffSampler,
TraceIdRatioBasedSampler,
ParentBasedSampler,
} from "@opentelemetry/sdk-trace-node";
// Always sample (development)
const alwaysOn = new AlwaysOnSampler();
// Never sample (disable tracing)
const alwaysOff = new AlwaysOffSampler();
// Sample 10% of traces
const ratioSampler = new TraceIdRatioBasedSampler(0.1);
// Parent-based with ratio fallback (recommended for production)
const parentBasedSampler = new ParentBasedSampler({
root: new TraceIdRatioBasedSampler(0.1),
});
const sdk = new NodeSDK({
sampler: parentBasedSampler,
// ...
});# Always sample
OTEL_TRACES_SAMPLER=always_on
# Never sample
OTEL_TRACES_SAMPLER=always_off
# Ratio-based (10%)
OTEL_TRACES_SAMPLER=traceidratio
OTEL_TRACES_SAMPLER_ARG=0.1
# Parent-based with ratio root
OTEL_TRACES_SAMPLER=parentbased_traceidratio
OTEL_TRACES_SAMPLER_ARG=0.1import { ConsoleSpanExporter } from "@opentelemetry/sdk-trace-node";
import { ConsoleMetricExporter } from "@opentelemetry/sdk-metrics";
const sdk = new NodeSDK({
traceExporter: new ConsoleSpanExporter(),
metricReader: new PeriodicExportingMetricReader({
exporter: new ConsoleMetricExporter(),
}),
});import { OTLPTraceExporter } from "@opentelemetry/exporter-trace-otlp-http";
import { OTLPMetricExporter } from "@opentelemetry/exporter-metrics-otlp-http";
// HTTP/JSON
const traceExporter = new OTLPTraceExporter({
url: "http://collector:4318/v1/traces",
headers: { "x-api-key": process.env.API_KEY },
});
// gRPC (better performance)
import { OTLPTraceExporter as OTLPTraceExporterGrpc } from "@opentelemetry/exporter-trace-otlp-grpc";
const grpcExporter = new OTLPTraceExporterGrpc({
url: "grpc://collector:4317",
});import { JaegerExporter } from "@opentelemetry/exporter-jaeger";
const jaegerExporter = new JaegerExporter({
endpoint: "http://jaeger:14268/api/traces",
});import { PrometheusExporter } from "@opentelemetry/exporter-prometheus";
const promExporter = new PrometheusExporter({
port: 9464,
endpoint: "/metrics",
});// Express middleware
import {
trace,
context,
propagation,
SpanStatusCode,
} from "@opentelemetry/api";
const tracer = trace.getTracer("express-app");
app.use((req, res, next) => {
const ctx = propagation.extract(context.active(), req.headers);
context.with(ctx, () => {
tracer.startActiveSpan(
`${req.method} ${req.path}`,
{ kind: SpanKind.SERVER },
(span) => {
span.setAttributes({
"http.method": req.method,
"http.url": req.url,
"http.route": req.path,
});
res.on("finish", () => {
span.setAttribute("http.status_code", res.statusCode);
if (res.statusCode >= 400) {
span.setStatus({ code: SpanStatusCode.ERROR });
}
span.end();
});
next();
},
);
});
});async function tracedQuery<T>(
name: string,
query: () => Promise<T>,
): Promise<T> {
return tracer.startActiveSpan(
name,
{ kind: SpanKind.CLIENT },
async (span) => {
try {
span.setAttribute("db.system", "postgresql");
const result = await query();
return result;
} catch (error) {
span.recordException(error as Error);
span.setStatus({ code: SpanStatusCode.ERROR });
throw error;
} finally {
span.end();
}
},
);
}
// Usage
const users = await tracedQuery("SELECT users", () => prisma.user.findMany());async function processJob(job: Job) {
// Extract context from job metadata
const ctx = propagation.extract(context.active(), job.metadata);
return context.with(ctx, () => {
return tracer.startActiveSpan(
`job:${job.type}`,
{ kind: SpanKind.CONSUMER },
async (span) => {
span.setAttributes({
"job.id": job.id,
"job.type": job.type,
"job.attempts": job.attempts,
});
try {
await executeJob(job);
span.setStatus({ code: SpanStatusCode.OK });
} catch (error) {
span.recordException(error as Error);
span.setStatus({ code: SpanStatusCode.ERROR });
throw error;
} finally {
span.end();
}
},
);
});
}Use standard attribute names for consistency:
{
"http.method": "GET",
"http.url": "https://api.example.com/users",
"http.route": "/users/:id",
"http.status_code": 200,
"http.request_content_length": 1024,
"http.response_content_length": 2048,
}{
"db.system": "postgresql",
"db.name": "mydb",
"db.statement": "SELECT * FROM users WHERE id = $1",
"db.operation": "SELECT",
"db.sql.table": "users",
}{
"messaging.system": "rabbitmq",
"messaging.destination": "orders",
"messaging.operation": "publish",
"messaging.message_id": "abc123",
}span.recordException()ERROR status© shepherdjerred, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in packages/dotfiles/dot_agents/skills/otel-observability of shepherdjerred/monorepo.
Open the folder on GitHubat commit da14ae9
Otel 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 |
|---|---|---|---|---|---|---|
| Otel Observability this skillshepherdjerred/monorepo | 112 | — | ~4.2k | Automated safety check: Pass | GPL-3.0 | |
| Motel Debugkitlangton/motel | 298 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Tempsgotempsh/temps | 826 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Axiom Metrics Queryopenclaw/clawhub | 9.5k | — | ~2.6k | Automated safety check: Pass | MIT | |
| UModel Root Cause Analysisalibaba/UnifiedModel | 412 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Agent Kill Switchvivekchand/clawmetry | 425 | — | ~1.1k | Automated safety check: Pass | MIT |
kitlangton/motel
Debug applications with motel, a local OpenTelemetry ingest and query server.
gotempsh/temps
Manage, deploy, operate, and instrument applications with Temps.
openclaw/clawhub
Explores and queries OpenTelemetry metrics in Axiom MetricsDB, listing datasets, metrics and tags first and picking the right aggregation for each metric's type.
alibaba/UnifiedModel
Investigates a service incident to its root cause by querying a UModel object graph alongside metrics, logs, topology and recent deployments.
vivekchand/clawmetry
Give the human an off switch and a cost meter for the coding agents on this machine, using ClawMetry.
roy-tong/AgentMeasure
Check whether agent telemetry preserves measurement semantics.
shepherdjerred/monorepo
Bun runtime APIs and current operational patterns for files, processes, modules, networking, databases, tests, and deployment.
shepherdjerred/monorepo
Current Bun test runner guidance for discovery, isolation, parallelism, sharding, changed tests, mocks, timers, snapshots, coverage, DOM Testing Library, and integration teardown.
shepherdjerred/monorepo
Current Bun workspace guidance for isolated and hoisted linkers, catalogs, filters, scripts, dependency classes, lockfiles, lifecycle trust, caches, publishing, TypeScript package exports, and…
shepherdjerred/monorepo
This skill should be used when the user asks to "deep research", "research this topic", "investigate thoroughly", "do a deep dive on", "comprehensive research on", "find everything about", "survey…
shepherdjerred/monorepo
This skill should be used when the user asks to "create a Figma design", "design in Figma", "make a Figma mockup", "create an app icon", "design UI", "render JSX to Figma", "export from Figma"…
shepherdjerred/monorepo
Current Fish shell scripting, functions, abbreviations, completions, variables, events, configuration, plugins, testing, and safety guidance.
Works with
Categories
OpenTelemetry observability - tracing, metrics, logs, instrumentation, and context propagation patterns When user works with OpenTelemetry, adds tracing/metrics/logging, configures exporters, or…. Otel Observability is an agent skill from shepherdjerred/monorepo.
Otel Observability fits situations like: works with OpenTelemetry; adds tracing/metrics/logging; configures exporters; mentions spans and observability.
Run `npx skills add shepherdjerred/monorepo --skill otel-observability -a claude-code`. Or copy the skill folder (packages/dotfiles/dot_agents/skills/otel-observability in shepherdjerred/monorepo) into .claude/skills/otel-observability in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shepherdjerred/monorepo --skill otel-observability -a codex`. Or copy the skill folder (packages/dotfiles/dot_agents/skills/otel-observability in shepherdjerred/monorepo) into .agents/skills/otel-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 shepherdjerred/monorepo --skill otel-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/otel-observability, .gemini/skills/otel-observability, .github/skills/otel-observability and .opencode/skills/otel-observability in your project.
Going by SKILL.md and its folder, Otel Observability needs the command-line tools its instructions call (npm and node) and credentials named API_KEY. Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. 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.
Otel Observability is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Otel Observability: Motel Debug (kitlangton/motel, 298 stars), Temps (gotempsh/temps, 826 stars), Axiom Metrics Query (openclaw/clawhub, 9.5k stars) and UModel Root Cause Analysis (alibaba/UnifiedModel, 412 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
shepherdjerred (a GitHub user) maintains it in shepherdjerred/monorepo, which has 112 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on October 8, 2026.
Source: shepherdjerred/monorepo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.