Otel Upgrade logo

Otel Upgrade

Organization
ollygarden
otel-upgrade

Assess OpenTelemetry package and Collector upgrades across ecosystems. Use when choosing or validating API, SDK, instrumentation, exporter, Collector distribution, component, image, chart, Operator, OCB build, or configuration versions, including compatibility, required changes, telemetry and runtime behavior, and rollout risk.

Overview

Publisherollygarden
Repositoryopentelemetry-agent-skills
Skill nameotel-upgrade
Stars
119
Forks
13
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ollygarden on GitHub. Read the source before you install it.

Installation

Install the Otel Upgrade AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ollygarden/opentelemetry-agent-skills/tree/main/skills/otel-upgrade
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ollygarden/opentelemetry-agent-skills.git /tmp/opentelemetry-agent-skills
mkdir -p .claude/skills
cp -r /tmp/opentelemetry-agent-skills/skills/otel-upgrade .claude/skills/otel-upgrade
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Otel Upgrade in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Otel Upgrade on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Otel Upgrade is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OpenTelemetry Upgrade

Find the highest stable target supported by the available repository evidence and provide concise, case-specific upgrade advice. Unless the user asks for implementation, assess the upgrade without changing project files.

Choose the workflow

Request or repository evidenceRead
Package manifests, lockfiles, APIs, SDKs, instrumentation libraries, exporters, plugins, or dependency constraintsDependency upgrade
Collector binaries, images, charts, Operators, configuration, feature gates, components, OCB manifests, builds, or runtime behaviorCollector upgrade
A custom Collector involving independently versioned or third-party modulesRead the Collector workflow first, then the dependency workflow for relevant module constraints.

Read only the applicable reference. Read both when the upgrade crosses both surfaces.

Shared instructions

  1. Inspect the repository and runtime evidence before choosing the workflow or assuming the ecosystem.
  2. Establish the exact current and candidate versions. Record wrappers, distributions, artifacts, and embedded dependencies separately rather than treating one version as proof of another.
  3. Query authoritative registries and tagged primary upstream sources for current stable releases. Record the lookup date. Treat release candidates, beta/alpha packages, nightly artifacts, and untagged source as prereleases unless that package line intentionally publishes with a prerelease identifier; do not silently replace a project's existing experimental package line with a stable package from a different line. If no stable release meets a stated requirement, assess prereleases separately and label them clearly.
  4. Distinguish the latest available stable release from the highest validated compatible candidate. Do not call a candidate validated when the relevant checks could not run.
  5. Preserve the user's working tree by validating in a temporary copy, worktree, or equivalent isolated environment. Start with the latest stable candidate. If it fails, diagnose the cause and test selected lower versions when useful; do not assume compatibility is monotonic.
  6. Connect upstream changes to this repository's actual usage and available downstream contracts. Treat unavailable consumers, environments, and exact-version coverage as unverified.
  7. Use applicable specialized skills only when they are available. Otherwise use primary upstream sources and repository evidence, and report any resulting verification gaps.

Dependency resolution, compilation, configuration acceptance, and passing tests establish different and limited kinds of evidence. State exactly what each result demonstrates.

Report

Keep the report concise and tailored to the repository.

markdown
## Recommendation

Recommend upgrading `<subject>` from `<current>` to `<target>`, remaining on `<current>`, or deferring the upgrade. Explain the evidence, effort, and risk.

## Relevant Findings

- `<Material finding>` — explain its effect on this repository and any required action.

## Proposed Upgrade Path

Give the smallest coordinated sequence of dependency, artifact, code, configuration, and rollout changes.

## Validation

State the exact candidates, artifacts, configurations, platforms, and checks covered, their results, and what those results demonstrate.

## Remaining Risk

Mention only material behavior, environments, integrations, consumers, or artifacts that could not be verified. Omit this section when no material unverified areas were identified.

Link material upstream claims to authoritative release notes, documentation, or source. If the latest available version is not the highest validated compatible version, name both and explain the blocker.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Otel Upgrade AI skill do?

Assess OpenTelemetry package and Collector upgrades across ecosystems. Use when choosing or validating API, SDK, instrumentation, exporter, Collector distribution, component, image, chart, Operator, OCB build, or configuration versions, including compatibility, required changes, telemetry and runtime behavior, and rollout risk.

Why use Otel Upgrade on TypingMind?

Because you install it once and use it with any model. Otel Upgrade is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Otel Upgrade in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ollygarden/opentelemetry-agent-skills/tree/main/skills/otel-upgrade. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Otel Upgrade?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Otel Upgrade?

As many as you like. As long as a model supports skills, you can use Otel Upgrade with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Otel Upgrade AI skill free?

Yes. It is published on GitHub by ollygarden under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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