Agent skill

Mcaf Observability

by managedcode in managedcode/Storage

Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics.

MITAuto-check passedDevOps & Cloud

Install Mcaf Observability

skills CLI
$ npx skills add managedcode/Storage --skill mcaf-observability -a claude-code

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

GitHub CLI
$ gh skill install managedcode/Storage mcaf-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/managedcode/Storage.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/mcaf-observability .claude/skills/mcaf-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
mcaf-observability
GitHub stars
138
Token cost
~976 tokens
SKILL.md length
467 words
Files
7 (incl. references)
Skills in repo
41
Repo updated
First seen
Licence
MIT

At a glance

Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics.

  • Works in 3 steps: Read the nearest AGENTS.md and confirm… → Run this skill's Workflow through the… → Return the Required Result Format with…
  • A change affects runtime visibility
  • SKILL.md covers Trigger On, Value, Do Not Use For and Inputs, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mcaf Observability is an agent skill from managedcode/Storage. Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics. Use when a change affects runtime visibility, failure diagnosis, SLOs, or alerting.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/alerting.md`, `references/best-practices.md` and `references/correlation-id.md`). Compatibility notes: Requires repository access; may update code, dashboards-as-code, alerting docs, or operational guidance.

It sits in DevOps & Cloud, covering Observability and Site reliability engineering. The repository describes itself as: Storage library provides a universal interface for accessing and manipulating data in different cloud blob storage providers. The licence is MIT.

When your agent uses it

  • A change affects runtime visibility
  • Failure diagnosis

Example prompts

  • “/mcaf-observability”

Requirements

  • Compatibility (from SKILL.md): Requires repository access; may update code, dashboards-as-code, alerting docs, or operational guidance.

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Read the nearest AGENTS.md and confirm scope and constraints.
  2. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.
  3. Return the Required Result Format with concrete artifacts and verification evidence.

What it can do on your machine

Read from SKILL.md and the folder at commit 5d32121. 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.

    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.

  • Compatibility

    Requires repository access; may update code, dashboards-as-code, alerting docs, or operational guidance.

    From compatibility in the SKILL.md frontmatter.

Context cost

Mcaf Observability loads about 976 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 467 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~976
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

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 managedcode/Storage at commit 5d32121, republished under its MIT licence (© managedcode). 467 words, ~976 tokens.

Download SKILL.mdSave it as .claude/skills/mcaf-observability/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
mcaf-observability
description
Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics. Use when a change affects runtime visibility, failure diagnosis, SLOs, or alerting.
compatibility
Requires repository access; may update code, dashboards-as-code, alerting docs, or operational guidance.

MCAF: Observability

Trigger On

  • a change affects runtime visibility or failure diagnosis
  • logs, metrics, traces, or alerts are missing or vague
  • the team cannot answer "how will we know this broke?"

Value

  • produce a concrete project delta: code, docs, config, tests, CI, or review artifact
  • reduce ambiguity through explicit planning, verification, and final validation skills
  • leave reusable project context so future tasks are faster and safer

Do Not Use For

  • feature behaviour work with no runtime visibility impact
  • generic monitoring talk with no concrete flow to instrument

Inputs

  • the critical user or system flow under change
  • current logs, metrics, traces, dashboards, and alerts
  • operator expectations for diagnosis and response

Quick Start

  1. Read the nearest AGENTS.md and confirm scope and constraints.
  2. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.
  3. Return the Required Result Format with concrete artifacts and verification evidence.

Workflow

  1. Identify the critical user or system flow that needs visibility.
  2. Define what must be observable:
    • success and failure
    • latency and throughput
    • correlation across boundaries
    • actionable alerting
  3. Treat observability as part of done, not an afterthought.
  4. Load only the references that match the affected runtime concern.

Deliver

  • observability requirements for the changed flow
  • updated logging, metrics, traces, or alerting guidance
  • clear operator and engineer visibility expectations

Validate

  • a failure can be detected and diagnosed from the chosen signals
  • alerts are actionable, not noise
  • cross-boundary correlation is possible where the flow needs it
  • the observability plan matches user impact and operator needs
Show full SKILL.md (216 more words)Show less

Ralph Loop

Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.

  1. Plan first (mandatory):
    • analyze current state
    • define target outcome, constraints, and risks
    • write a detailed execution plan
    • list final validation skills to run at the end, with order and reason
  2. Execute one planned step and produce a concrete delta.
  3. Review the result and capture findings with actionable next fixes.
  4. Apply fixes in small batches and rerun the relevant checks or review steps.
  5. Update the plan after each iteration.
  6. Repeat until outcomes are acceptable or only explicit exceptions remain.
  7. If a dependency is missing, bootstrap it or return status: not_applicable with explicit reason and fallback path.
Required Result Format
  • status: complete | clean | improved | configured | not_applicable | blocked
  • plan: concise plan and current iteration step
  • actions_taken: concrete changes made
  • validation_skills: final skills run, or skipped with reasons
  • verification: commands, checks, or review evidence summary
  • remaining: top unresolved items or none

For setup-only requests with no execution, return status: configured and exact next commands.

Load References

  • read references/observability.md first
  • open references/alerting.md, references/best-practices.md, references/correlation-id.md, references/log-vs-metric-vs-trace.md, or references/pitfalls.md only when needed

Example Requests

  • "Add observability requirements for this background worker."
  • "We have logs but still cannot debug failures. Fix the plan."
  • "Define alerts and traces for this API flow."

© managedcode, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in .codex/skills/mcaf-observability of managedcode/Storage.

  • SKILL.md
  • references/alerting.md
  • references/best-practices.md
  • references/correlation-id.md
  • references/log-vs-metric-vs-trace.md
  • references/observability.md
  • references/pitfalls.md

Open the folder on GitHubat commit 5d32121

Compare with similar skills

Mcaf 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.

Mcaf Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mcaf Observability this skillmanagedcode/Storage138—~976Automated safety check: PassMIT
Service Mesh Observabilitywshobson/agents40k8 repos~607Automated safety check: PassMIT
Observability2SSK/dot-files247—~676Automated safety check: PassMIT
Monitoring Observabilityahmedasmar/devops-claude-skills203—~3.9kAutomated safety check: PassNone
Prometheus Error Rate Investigatorprometheus/prometheus-mcp117—~592Automated safety check: PassApache-2.0
Error HandlerEliasOulkadi/shokunin114—~3.6kAutomated safety check: NotesMIT

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Categories

Questions about Mcaf Observability

What does Mcaf Observability do?

Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics. Mcaf Observability is an agent skill from managedcode/Storage. Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics.

When should I use Mcaf Observability?

Mcaf Observability fits situations like: A change affects runtime visibility; failure diagnosis.

How do I install Mcaf Observability in Claude Code?

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

How do I install Mcaf Observability in Codex?

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

Can I use Mcaf 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 managedcode/Storage --skill mcaf-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/mcaf-observability, .gemini/skills/mcaf-observability, .github/skills/mcaf-observability and .opencode/skills/mcaf-observability in your project.

What does Mcaf Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Mcaf Observability is instructions for the agent only. Compatibility (from SKILL.md): Requires repository access; may update code, dashboards-as-code, alerting docs, or operational guidance..

Does Mcaf 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 Mcaf 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 Mcaf Observability use?

Mcaf 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 Mcaf Observability use?

About 976 tokens (SKILL.md is roughly 3.9k 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 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Mcaf Observability?

Skills that share tags, products or a category with Mcaf Observability: Service Mesh Observability (wshobson/agents, 40k stars), Observability (2SSK/dot-files, 247 stars), Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars) and Prometheus Error Rate Investigator (prometheus/prometheus-mcp, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mcaf Observability?

managedcode (a GitHub organization) maintains it in managedcode/Storage, which has 138 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 7, 2026.

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