Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-app-notebooks --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/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dt-app-notebooks .claude/skills/dt-app-notebooks && 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 "dt-app-notebooks" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-app-notebooks into .claude/skills/dt-app-notebooks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-app-notebooks", 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/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-app-notebooksType 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 Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-app-notebooks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dt-app-notebooks .agents/skills/dt-app-notebooks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dt-app-notebooks" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-app-notebooks into .agents/skills/dt-app-notebooks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-app-notebooks", 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 Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-app-notebooks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dt-app-notebooks .cursor/skills/dt-app-notebooks && 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 "dt-app-notebooks" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-app-notebooks into .cursor/skills/dt-app-notebooks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-app-notebooks", 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/Dynatrace/dynatrace-for-ai.git --path skills/dt-app-notebooks--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 Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-app-notebooks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dt-app-notebooks .gemini/skills/dt-app-notebooks && 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 "dt-app-notebooks" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-app-notebooks into .gemini/skills/dt-app-notebooks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-app-notebooks", 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 Dynatrace/dynatrace-for-ai dt-app-notebooksInstalls 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 Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dt-app-notebooks .github/skills/dt-app-notebooks && 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 "dt-app-notebooks" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-app-notebooks into .github/skills/dt-app-notebooks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-app-notebooks", 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 Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-app-notebooks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dt-app-notebooks .opencode/skills/dt-app-notebooks && 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 "dt-app-notebooks" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-app-notebooks into .opencode/skills/dt-app-notebooks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-app-notebooks", 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.
dt-app-notebooksWork with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.
Dt App Notebooks is an agent skill from Dynatrace/dynatrace-for-ai. Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.
Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `assets/ExampleNotebook.json`, `references/analyzing.md` and `references/create-update.md`).
The repository describes itself as: Skills, prompts, and instructions for building AI agents on top of Dynatrace production context. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 4f9aa71. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dt App Notebooks loads about 995 tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 38 tokens; SKILL.md has 317 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 Dynatrace/dynatrace-for-ai at commit 4f9aa71, republished under its Apache-2.0 licence (© Dynatrace). 317 words, ~995 tokens.
.claude/skills/dt-app-notebooks/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Dynatrace notebooks are JSON documents stored in the Document Store containing an ordered array of sections — markdown blocks for narrative and dql blocks for DQL queries with visualizations. Sections render top-to-bottom in array order.
When to use: Creating, modifying, querying, or analyzing notebooks.
{
"name": "My Notebook",
"type": "notebook",
"content": {
"version": "7",
"defaultTimeframe": { "from": "now()-2h", "to": "now()" },
"sections": [
{ "id": "1", "type": "markdown", "markdown": "# Title" },
{
"id": "2", "type": "dql", "title": "Query Section", "showInput": true,
"state": {
"input": { "value": "fetch logs | summarize count()" },
"visualization": "table",
"visualizationSettings": { "autoSelectVisualization": true, "chartSettings": {} },
"querySettings": {
"maxResultRecords": 1000, "defaultScanLimitGbytes": 500,
"maxResultMegaBytes": 1, "defaultSamplingRatio": 10, "enableSampling": false
}
}
}
]
}
}markdown, dql. (function exists but is rare.)"1", "2", …); UUIDs are also accepted.content.defaultTimeframe sets the default timeframe; each section can override via section.state.input.timeframe. Hardcoded time filters in DQL are allowed.Optional content properties: defaultSegments.
Fetch full content with dtctl get notebook <id> -o json (describe returns metadata only), then inspect the JSON to discover its available properties. Carefully read references/analyzing.md before analyzing.
Carefully follow the workflow described in references/create-update.md.
Key rules:
name before deploying.autoSelectVisualization: true in visualizationSettings unless the user requested a specific visualization type — when false, state.visualization must be set explicitly.dtctl get notebook <id> -o json, save it as notebook.json, modify that file, then deploy it. Never reconstruct JSON from scratch or inject an id manually — both silently overwrite UI edits the user made since last deployment.dtctl apply — validation runs automatically. If it fails, fix all reported errors before re-applying.Notebooks support a subset of Dynatrace visualizations:
timeseries/makeTimeseries): lineChart, areaChart, barChart, bandChartsummarize ... by:{field}): categoricalBarChart, pieChart, donutChartsingleValue, meterBar, gaugetable, raw, recordViewhistogram, honeycombchoropleth, dotMap, connectionMap, bubbleMapheatmap, scatterplotRequired field types per visualization: references/sections.md.
| File | When to Load |
|---|---|
| create-update.md | Creating/updating notebooks |
| sections.md | Section types, visualization field requirements, settings |
| analyzing.md | Reading notebooks, extracting queries, purpose identification |
© Dynatrace, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references, assets) in skills/dt-app-notebooks of Dynatrace/dynatrace-for-ai.
Open the folder on GitHubat commit 4f9aa71
Dt App Notebooks 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 |
|---|---|---|---|---|---|---|
| Dt App Notebooks this skillDynatrace/dynatrace-for-ai | 163 | — | ~995 | Automated safety check: Pass | Apache-2.0 | |
| Jupyter Notebookmicrosoft/ai-agents-for-beginners | 77k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Jupyter Notebookmicrosoft/ai-agents-for-beginners | 77k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Jupyter Notebookmicrosoft/ai-agents-for-beginners | 77k | — | ~1.2k | Automated safety check: Warn | MIT | |
| Jupyter Notebookmicrosoft/ai-agents-for-beginners | 77k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Jupyter Notebookmicrosoft/ai-agents-for-beginners | 77k | 8 repos | ~1k | Automated safety check: Pass | Apache-2.0 |
microsoft/ai-agents-for-beginners
À utiliser lorsque l'utilisateur demande de créer, structurer ou modifier des notebooks Jupyter (.ipynb) pour des expériences, explorations ou tutoriels ; privilégiez les modèles fournis et exécutez…
microsoft/ai-agents-for-beginners
ใช้เมื่อผู้ใช้ร้องขอให้สร้าง จัดโครงร่าง หรือแก้ไข Jupyter notebooks (.ipynb) สำหรับการทดลอง การสำรวจ หรือบทแนะนำ; ควรใช้เทมเพลตที่มาพร้อมและรันสคริปต์ช่วยเหลือ newnotebook.py…
microsoft/ai-agents-for-beginners
ប្រើនៅពេលដែលអ្នកប្រើស្នើឲ្យបង្កើត រៀបចំ (scaffold) ឬកែសម្រួល Jupyter notebooks (.ipynb) សម្រាប់សាកល្បង ស្វែងរក ឬមេរៀន; អនុសាសន៍ឲ្យប្រើទំរង់គំរូដែលភ្ជាប់មកជាមួយ និងរត់ស្គ្រីបជំនួយ newnotebook.py…
microsoft/ai-agents-for-beginners
အသုံးပြုပါသည်။ အသုံးပြုသူက စမ်းသပ်မှုများ၊ ရှာဖွေမှုများ သို့မဟုတ် သင်ခန်းစာများအတွက် Jupyter notebook (.ipynb) များကို ဖန်တီးရန်၊ အခြေခံဖွဲ့စည်းရန် သို့မဟုတ် တည်းဖြတ်ရန် တောင်းဆိုသောအခါ အသုံးပြုပါ။…
microsoft/ai-agents-for-beginners
A skill your agent uses when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script…
microsoft/ai-agents-for-beginners
Se folosește atunci când utilizatorul solicită crearea, structurarea sau editarea notebook-urilor Jupyter (.ipynb) pentru experimente, explorări sau tutoriale; se recomandă utilizarea șabloanelor…
Dynatrace/dynatrace-for-ai
Analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation.
Dynatrace/dynatrace-for-ai
Set up the Dynatrace iOS SDK (OneAgent) in an iOS project using Swift Package Manager.
Dynatrace/dynatrace-for-ai
End-to-end Dynatrace alerting lifecycle — anomaly detector setup and model selection (static threshold, adaptive baseline, seasonal baseline), alert event storage in Grail, problem grouping and…
Dynatrace/dynatrace-for-ai
AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization.
Dynatrace/dynatrace-for-ai
3rd-party test and monitor result ingestion into Dynatrace Grail via the platform events ingest API (platform/ingest/custom/events/).
Dynatrace/dynatrace-for-ai
DAVIS problem analysis including root cause identification, impact assessment, and correlation with other telemetry.
Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations. Dt App Notebooks is an agent skill from Dynatrace/dynatrace-for-ai. Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.
Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a claude-code`. Or copy the skill folder (skills/dt-app-notebooks in Dynatrace/dynatrace-for-ai) into .claude/skills/dt-app-notebooks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a codex`. Or copy the skill folder (skills/dt-app-notebooks in Dynatrace/dynatrace-for-ai) into .agents/skills/dt-app-notebooks 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 Dynatrace/dynatrace-for-ai --skill dt-app-notebooks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dt-app-notebooks, .gemini/skills/dt-app-notebooks, .github/skills/dt-app-notebooks and .opencode/skills/dt-app-notebooks in your project.
SKILL.md names no scripts, command-line tools or credentials: Dt App Notebooks is instructions for the agent only.
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.
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.
Dt App Notebooks is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 995 tokens (SKILL.md is roughly 4k 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 3.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Dt App Notebooks: Jupyter Notebook (microsoft/ai-agents-for-beginners, 77k stars), Jupyter Notebook (microsoft/ai-agents-for-beginners, 77k stars), Jupyter Notebook (microsoft/ai-agents-for-beginners, 77k stars) and Jupyter Notebook (microsoft/ai-agents-for-beginners, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Dynatrace (a GitHub organization) maintains it in Dynatrace/dynatrace-for-ai, which has 163 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 1, 2026.
Source: Dynatrace/dynatrace-for-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
