Plugin check: Run
node "${PLUGIN_ROOT}/scripts/check-version.js"— if it outputs a message, show it to the user before proceeding.
Workflow: telemetry-workflow.md — Read and follow all steps defined in that bundled file.
Use this skill when the user wants to enable, disable, turn on or off, opt out of, opt in to, or check the status of model-apps telemetry or its usage data. Triggers: "disable telemetry", "turn off telemetry", "opt out of telemetry", "stop collecting usage data", "enable telemetry", "telemetry status".
| Publisher | microsoft |
| Repository | power-platform-skills |
| Skill name | telemetry |
| Stars | 895 |
| Forks | 182 |
| Bundled files | 1 |
| License | MIT |
| Links |
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Published by microsoft on GitHub. Read the source before you install it.
Install the Telemetry AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.
TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.
Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.
git clone --depth 1 https://github.com/microsoft/power-platform-skills.git /tmp/power-platform-skills
mkdir -p .claude/skills
cp -r /tmp/power-platform-skills/plugins/model-apps/skills/telemetry .claude/skills/telemetryEnable Telemetry 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.
AI skills are plain Markdown instructions rather than provider-specific code, so Telemetry 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.
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.
This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.
Plugin check: Run
node "${PLUGIN_ROOT}/scripts/check-version.js"— if it outputs a message, show it to the user before proceeding.
Workflow: telemetry-workflow.md — Read and follow all steps defined in that bundled file.
The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.
Use this skill when the user wants to enable, disable, turn on or off, opt out of, opt in to, or check the status of model-apps telemetry or its usage data. Triggers: "disable telemetry", "turn off telemetry", "opt out of telemetry", "stop collecting usage data", "enable telemetry", "telemetry status".
Because you install it once and use it with any model. Telemetry 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.
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/power-platform-skills/tree/main/plugins/model-apps/skills/telemetry. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.
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.
As many as you like. As long as a model supports skills, you can use Telemetry with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.
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.
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.
Golang Testing
Patrones de pruebas Go incluyendo pruebas basadas en tablas, subpruebas, benchmarks, fuzzing y cobertura de código. Sigue la metodología TDD con prácticas idiomáticas de Go.
Jpa Patterns
Patrones JPA/Hibernate para diseño de entidades, relaciones, optimización de consultas, transacciones, auditoría, indexación, paginación y pooling en Spring Boot.
Kotlin Patterns
Patrones idiomáticos de Kotlin, buenas prácticas y convenciones para construir aplicaciones Kotlin robustas, eficientes y mantenibles con coroutines, null safety y builders de DSL.
Kotlin Testing
Patrones de pruebas Kotlin con Kotest, MockK, pruebas de coroutines, pruebas basadas en propiedades y cobertura con Kover. Sigue la metodología TDD con prácticas idiomáticas de Kotlin.
Get notified about new features and future giveaways by subscribing to our newsletter 👇
