Azure Diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage.
Expert knowledge for Microsoft Planetary Computer Pro development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
Install Azure Planetary Computer Pro
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-planetary-computer-pro --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/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/azure-planetary-computer-pro .claude/skills/azure-planetary-computer-pro && 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 "azure-planetary-computer-pro" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-planetary-computer-pro into .claude/skills/azure-planetary-computer-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-planetary-computer-pro", 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/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-planetary-computer-proType 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 MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-planetary-computer-pro --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/azure-planetary-computer-pro .agents/skills/azure-planetary-computer-pro && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-planetary-computer-pro" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-planetary-computer-pro into .agents/skills/azure-planetary-computer-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-planetary-computer-pro", 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 MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-planetary-computer-pro --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/azure-planetary-computer-pro .cursor/skills/azure-planetary-computer-pro && 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 "azure-planetary-computer-pro" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-planetary-computer-pro into .cursor/skills/azure-planetary-computer-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-planetary-computer-pro", 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/MicrosoftDocs/Agent-Skills.git --path skills/azure-planetary-computer-pro--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 MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-planetary-computer-pro --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/azure-planetary-computer-pro .gemini/skills/azure-planetary-computer-pro && 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 "azure-planetary-computer-pro" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-planetary-computer-pro into .gemini/skills/azure-planetary-computer-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-planetary-computer-pro", 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 MicrosoftDocs/Agent-Skills azure-planetary-computer-proInstalls 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 MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/azure-planetary-computer-pro .github/skills/azure-planetary-computer-pro && 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 "azure-planetary-computer-pro" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-planetary-computer-pro into .github/skills/azure-planetary-computer-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-planetary-computer-pro", 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 MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-planetary-computer-pro --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/azure-planetary-computer-pro .opencode/skills/azure-planetary-computer-pro && 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 "azure-planetary-computer-pro" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-planetary-computer-pro into .opencode/skills/azure-planetary-computer-pro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-planetary-computer-pro", 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.
Facts
- Skill name
azure-planetary-computer-pro- GitHub stars
- 777
- Token cost
- ~2.4k tokens
- SKILL.md length
- 668 words
- Files
- 1
- Skills in repo
- 149
- Repo updated
- First seen
- Licence
- CC-BY-4.0
At a glance
Expert knowledge for Microsoft Planetary Computer Pro development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
- Using GeoCatalog/STAC APIs
- SKILL.md covers How to Use This Skill and Category Index
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Configuring collections/tiles
What it does
Azure Planetary Computer Pro is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Microsoft Planetary Computer Pro development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using GeoCatalog/STAC APIs, configuring collections/tiles, securing access, integrating QGIS/ArcGIS, or troubleshooting ingestion, and other Microsoft Planetary Computer Pro related development tasks. Not for Azure Maps (use azure-maps), Azure Open Datasets (use azure-open-datasets), Azure Data Explorer (use…
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.
It sits in DevOps & Cloud. It works with Microsoft Azure. The repository describes itself as: Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs. The licence is CC-BY-4.0.
When your agent uses it
- Using GeoCatalog/STAC APIs
- Configuring collections/tiles
- Securing access
- Integrating QGIS/ArcGIS
Example prompts
- “/azure-planetary-computer-pro”
Requirements
- Python 3
- Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
What it can do on your machine
Read from SKILL.md and the folder at commit ba74e8f. 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
Links to these hosts (documentation or services it may open):
learn.microsoft.comgithub.com
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 network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.
Context cost
Azure Planetary Computer Pro loads about 2.4k tokens when it runs. Until then it costs about 142 tokens; SKILL.md has 668 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.
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 MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 668 words, ~2,352 tokens.
Download SKILL.mdSave it as
.claude/skills/azure-planetary-computer-pro/SKILL.md (or your agent's skills folder).- name
- azure-planetary-computer-pro
- description
- Expert knowledge for Microsoft Planetary Computer Pro development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using GeoCatalog/STAC APIs, configuring collections/tiles, securing access, integrating QGIS/ArcGIS, or troubleshooting ingestion, and other Microsoft Planetary Computer Pro related development tasks. Not for Azure Maps (use azure-maps), Azure Open Datasets (use azure-open-datasets), Azure Data Explorer (use azure-data-explorer).
- compatibility
- Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
- metadata.generated_at
- 2026-10-04
- metadata.generator
- docs2skills/1.0.0
Microsoft Planetary Computer Pro Skill
This skill provides expert guidance for Microsoft Planetary Computer Pro. Covers troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L35-L40 | Diagnosing and resolving Planetary Computer Pro GeoCatalog ingestion failures, including error code meanings, common causes, and step-by-step remediation guidance. |
| Decision Making | L41-L45 | Guidance on selecting how to access Planetary Computer Pro data, including connection options, integrations with tools/services, and choosing the best method for your workflow. |
| Limits & Quotas | L46-L50 | Supported file formats, data types, and size/usage limits for datasets and computations in Planetary Computer Pro, including quotas that affect how you process and store data. |
| Security | L51-L62 | Configuring secure access to Planetary Computer Pro/GeoCatalog using Entra ID, RBAC, managed identities, cross-tenant auth, API Management, and SAS tokens for collections. |
| Configuration | L63-L77 | Configuring Planetary Computer Pro collections: visualization, render and tile settings, colormaps, mosaics, queryables, ingestion sources/credentials, and US Gov cloud endpoints. |
| Integrations & Coding Patterns | L78-L91 | Using GeoCatalog/STAC with code and tools: ingest and bulk-load data, build apps, create collections/items, and integrate with QGIS, ArcGIS Pro, Azure Batch, and other geospatial clients. |
| Deployment | L92-L96 | Deploying and safely deleting Planetary Computer GeoCatalog resources, including deployment steps, best practices, and cleanup to avoid data loss or orphaned assets. |
Troubleshooting
| Topic | URL |
|---|---|
| Reference ingestion error codes for Planetary Computer Pro GeoCatalogs | https://learn.microsoft.com/en-us/azure/planetary-computer/error-codes-ingestion |
| Troubleshoot data ingestion issues in Planetary Computer Pro | https://learn.microsoft.com/en-us/azure/planetary-computer/troubleshooting-ingestion |
Decision Making
| Topic | URL |
|---|---|
| Choose connection methods and integrations for Planetary Computer Pro data | https://learn.microsoft.com/en-us/azure/planetary-computer/build-applications-with-planetary-computer-pro |
Limits & Quotas
| Topic | URL |
|---|---|
| Use supported data types in Planetary Computer Pro | https://learn.microsoft.com/en-us/azure/planetary-computer/supported-data-types |
Show full SKILL.md (293 more words)Show less
Security
Configuration
Integrations & Coding Patterns
Deployment
| Topic | URL |
|---|---|
| Delete Planetary Computer GeoCatalog resources safely | https://learn.microsoft.com/en-us/azure/planetary-computer/delete-geocatalog-resource |
| Deploy Planetary Computer GeoCatalog resources | https://learn.microsoft.com/en-us/azure/planetary-computer/deploy-geocatalog-resource |
© MicrosoftDocs, CC-BY-4.0. 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 skills/azure-planetary-computer-pro of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
Compare with similar skills
Azure Planetary Computer Pro 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 |
|---|---|---|---|---|---|---|
| Azure Planetary Computer Pro this skillMicrosoftDocs/Agent-Skills | 777 | — | ~2.4k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Diagnosticsmicrosoft/azure-skills | 1.5k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Cloud Cost Optimizationwshobson/agents | 40k | 14 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Terravision Cloud Diagramspatrickchugh/terravision | 1.6k | — | ~5.6k | Automated safety check: Notes | AGPL-3.0-only | |
| Thesvgglincker/thesvg | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Azure PricingAzure/Copilot-Studio-and-Azure | 110 | 3 repos | ~2.4k | Automated safety check: Pass | MIT |
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Questions about Azure Planetary Computer Pro
What does Azure Planetary Computer Pro do?
Expert knowledge for Microsoft Planetary Computer Pro development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Azure Planetary Computer Pro is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Microsoft Planetary Computer Pro development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
When should I use Azure Planetary Computer Pro?
Azure Planetary Computer Pro fits situations like: using GeoCatalog/STAC APIs; configuring collections/tiles; securing access; integrating QGIS/ArcGIS.
How do I install Azure Planetary Computer Pro in Claude Code?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a claude-code`. Or copy the skill folder (skills/azure-planetary-computer-pro in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-planetary-computer-pro in your project. Claude Code loads it when a task matches its description.
How do I install Azure Planetary Computer Pro in Codex?
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a codex`. Or copy the skill folder (skills/azure-planetary-computer-pro in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-planetary-computer-pro in your project. Codex loads it when a task matches its description.
Can I use Azure Planetary Computer Pro 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 MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-planetary-computer-pro, .gemini/skills/azure-planetary-computer-pro, .github/skills/azure-planetary-computer-pro and .opencode/skills/azure-planetary-computer-pro in your project.
What does Azure Planetary Computer Pro need to run?
SKILL.md names no scripts, command-line tools or credentials: Azure Planetary Computer Pro is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
Does Azure Planetary Computer Pro access the network?
SKILL.md names 2 domains. As links in the text: learn.microsoft.com and github.com. This is read from the text; nothing was executed.
Is Azure Planetary Computer Pro 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 Azure Planetary Computer Pro use?
Azure Planetary Computer Pro is published under the CC-BY-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Azure Planetary Computer Pro use?
About 2.4k tokens (SKILL.md is roughly 9.4k 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 Azure Planetary Computer Pro?
Skills that share tags, products or a category with Azure Planetary Computer Pro: Azure Diagnostics (microsoft/azure-skills, 1.5k stars), Cloud Cost Optimization (wshobson/agents, 40k stars), Terravision Cloud Diagrams (patrickchugh/terravision, 1.6k stars) and Thesvg (glincker/thesvg, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Azure Planetary Computer Pro?
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 777 GitHub stars. The repository holds 149 skills in this directory. The repository was last updated on October 5, 2026.
Source: MicrosoftDocs/Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.