OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog).

MITAuto-check passedDevOps & Cloud

Install Observability

skills CLI
$ npx skills add TheBeardedBearSAS/claude-craft --skill observability -a claude-code

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

GitHub CLI
$ gh skill install TheBeardedBearSAS/claude-craft observability --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/TheBeardedBearSAS/claude-craft.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/observability .claude/skills/observability && 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
observability
GitHub stars
107
Token cost
~547 tokens
SKILL.md length
118 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog).

  • Implementing monitoring
  • SKILL.md covers Piliers de l'Observabilité, OpenTelemetry (OTel) Stack, Golden Signals (Google SRE) and Structured Logging (JSON), plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Debugging production issues

What it does

Observability is an agent skill from TheBeardedBearSAS/claude-craft. OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog). Use when implementing monitoring, tracing, or debugging production issues.

Its SKILL.md is about 550 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 and Monitoring and alerting. It works with OpenTelemetry, Datadog, Prometheus and Grafana. The repository describes itself as: Supercharge Claude Code with Expert Knowledge A comprehensive framework for AI-assisted development. Install standardized rules, agents, and commands for your projects across… The licence is MIT.

When your agent uses it

  • Implementing monitoring
  • Debugging production issues

Example prompts

  • “/observability”

Requirements

  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 99c1ee3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

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

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

  • Network

    No URLs in SKILL.md.

    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.

Context cost

Observability loads about 547 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 118 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~547

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 TheBeardedBearSAS/claude-craft at commit 99c1ee3, republished under its MIT licence (© TheBeardedBearSAS). 118 words, ~547 tokens.

Download SKILL.mdSave it as .claude/skills/observability/SKILL.md (or your agent's skills folder).
name
observability
description
OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog). Use when implementing monitoring, tracing, or debugging production issues.
context
fork files: ["**/otel*", "**/prometheus*", "**/grafana*", "**/jaeger*", "**/tempo*", "**/loki*"]

Observability — OpenTelemetry & Distributed Tracing

Instrumentation moderne avec OpenTelemetry pour métriques, traces et logs structurés.

Piliers de l'Observabilité

PilierTechnologiesMétriques clés
MetricsPrometheus, Grafana, DatadogRED (Rate, Errors, Duration), USE (Utilization, Saturation, Errors)
TracesOpenTelemetry, Jaeger, TempoP95 latency, span duration, error rate
LogsLoki, ElasticSearch, DatadogStructured JSON, correlation IDs

OpenTelemetry (OTel) Stack

javascript
// Node.js — Auto-instrumentation
const { NodeSDK } = require('@opentelemetry/sdk-node');
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');

const sdk = new NodeSDK({
  traceExporter: new OTLPTraceExporter(),
  instrumentations: [getNodeAutoInstrumentations()],
});

sdk.start();

Golden Signals (Google SRE)

SignalDescriptionSeuil typique
LatencyP50, P95, P99 response timeP95 < 200ms
TrafficRequests per secondBaseline + alerting
ErrorsError rate (5xx, exceptions)< 0.1%
SaturationCPU, Memory, Disk< 80% sustained

Structured Logging (JSON)

json
{
  "timestamp": "2026-04-17T10:30:00Z",
  "level": "error",
  "message": "Payment processing failed",
  "trace_id": "4bf92f3577b34da6a3ce929d0e0e4736",
  "span_id": "00f067aa0ba902b7",
  "service.name": "payment-api",
  "error.type": "PaymentGatewayTimeout"
}

SLI / SLO / SLA

ConceptExemple
SLI (Indicator)99.5% requests < 200ms
SLO (Objective)99.9% uptime mensuel
SLA (Agreement)99.95% uptime + pénalités

Pour instrumentation détaillée par stack : invoquer @observability-engineer

© TheBeardedBearSAS, 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 .claude/skills/observability of TheBeardedBearSAS/claude-craft.

Open the folder on GitHubat commit 99c1ee3

Compare with similar skills

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.

Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Observability this skillTheBeardedBearSAS/claude-craft107—~547Automated safety check: PassMIT
Frontmcp Observabilityagentfront/frontmcp146—~4.6kAutomated safety check: PassApache-2.0
Monitoring Observabilityahmedasmar/devops-claude-skills203—~3.9kAutomated safety check: PassNone
Tsh Implementing ObservabilityTheSoftwareHouse/copilot-collections284—~2kAutomated safety check: PassMIT
Archestra Dev Observabilityarchestra-ai/archestra4.4k—~1.2kAutomated safety check: PassCustom licence
Observability Architecturemajiayu000/litellm-rs117—~1.3kAutomated safety check: PassMIT

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  • Frontmcp Observability

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    146 GitHub stars~4.6k tokensUpdated yesterday
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  • Monitoring Observability

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    Monitoring and observability strategy, implementation, and troubleshooting.

    203 GitHub stars~3.9k tokensUpdated 5 mo ago
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  • Tsh Implementing Observability

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    Observability patterns for logging, monitoring, alerting, and distributed tracing.

    284 GitHub stars~2k tokensUpdated 3 days ago
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  • Archestra Dev Observability

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    A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.

    4.4k GitHub stars~1.2k tokensUpdated today
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  • Observability Architecture

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  • Monitoring Expert

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Categories

Questions about Observability

What does Observability do?

OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog). Observability is an agent skill from TheBeardedBearSAS/claude-craft. OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog).

When should I use Observability?

Observability fits situations like: implementing monitoring; debugging production issues.

How do I install Observability in Claude Code?

Run `npx skills add TheBeardedBearSAS/claude-craft --skill observability -a claude-code`. Or copy the skill folder (.claude/skills/observability in TheBeardedBearSAS/claude-craft) into .claude/skills/observability in your project. Claude Code loads it when a task matches its description.

How do I install Observability in Codex?

Run `npx skills add TheBeardedBearSAS/claude-craft --skill observability -a codex`. Or copy the skill folder (.claude/skills/observability in TheBeardedBearSAS/claude-craft) into .agents/skills/observability in your project. Codex loads it when a task matches its description.

Can I use Observability 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 TheBeardedBearSAS/claude-craft --skill 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/observability, .gemini/skills/observability, .github/skills/observability and .opencode/skills/observability in your project.

What does Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Observability is instructions for the agent only. Our summary lists: Node.js.

Does Observability access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Observability 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 Observability use?

Observability is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Observability use?

About 547 tokens (SKILL.md is roughly 2.2k 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 Observability?

Skills that share tags, products or a category with Observability: Frontmcp Observability (agentfront/frontmcp, 146 stars), Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars), Tsh Implementing Observability (TheSoftwareHouse/copilot-collections, 284 stars) and Archestra Dev Observability (archestra-ai/archestra, 4.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Observability?

TheBeardedBearSAS (a GitHub organization) maintains it in TheBeardedBearSAS/claude-craft, which has 107 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 14, 2026.

Source: TheBeardedBearSAS/claude-craft on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.