Azure Storage File Datalake Py
aiskillstore/marketplace
Azure Data Lake Storage Gen2 SDK for Python. An agent skill from aiskillstore/marketplace.
Azure Bot Service Management SDK for Python. An agent skill from microsoft/skills.
$ npx skills add microsoft/skills --skill azure-mgmt-botservice-py -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/skills azure-mgmt-botservice-py --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/microsoft/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py .claude/skills/azure-mgmt-botservice-py && 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-mgmt-botservice-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py into .claude/skills/azure-mgmt-botservice-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-botservice-py", 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/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-pyType 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 microsoft/skills --skill azure-mgmt-botservice-py -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/skills azure-mgmt-botservice-py --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py .agents/skills/azure-mgmt-botservice-py && 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-mgmt-botservice-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py into .agents/skills/azure-mgmt-botservice-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-botservice-py", 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 microsoft/skills --skill azure-mgmt-botservice-py -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/skills azure-mgmt-botservice-py --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py .cursor/skills/azure-mgmt-botservice-py && 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-mgmt-botservice-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py into .cursor/skills/azure-mgmt-botservice-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-botservice-py", 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/microsoft/skills.git --path .github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py--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 microsoft/skills --skill azure-mgmt-botservice-py -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/skills azure-mgmt-botservice-py --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py .gemini/skills/azure-mgmt-botservice-py && 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-mgmt-botservice-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py into .gemini/skills/azure-mgmt-botservice-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-botservice-py", 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 microsoft/skills azure-mgmt-botservice-pyInstalls 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 microsoft/skills --skill azure-mgmt-botservice-py -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py .github/skills/azure-mgmt-botservice-py && 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-mgmt-botservice-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py into .github/skills/azure-mgmt-botservice-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-botservice-py", 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 microsoft/skills --skill azure-mgmt-botservice-py -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/skills azure-mgmt-botservice-py --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py .opencode/skills/azure-mgmt-botservice-py && 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-mgmt-botservice-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py into .opencode/skills/azure-mgmt-botservice-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-botservice-py", 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.
azure-mgmt-botservice-pyAzure Bot Service Management SDK for Python. An agent skill from microsoft/skills.
Azure Mgmt Botservice Py is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels".
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/capabilities.md` and `references/non-hero-scenarios.md`).
It sits in DevOps & Cloud, covering Chatbots and conversational support. It works with Microsoft Azure, Python and Visual Studio Code. The repository describes itself as: Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents. The licence is MIT.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3898ec8. 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.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
learn.microsoft.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AZURE_TOKEN_CREDENTIALSFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Azure Mgmt Botservice Py loads about 2.6k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 423 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 microsoft/skills at commit 3898ec8, republished under its MIT licence (© microsoft). 423 words, ~2,566 tokens.
.claude/skills/azure-mgmt-botservice-py/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Manage Azure Bot Service resources including bots, channels, and connections.
pip install azure-mgmt-botservice
pip install azure-identityAZURE_SUBSCRIPTION_ID=<your-subscription-id> # Required for all auth methods
AZURE_RESOURCE_GROUP=<your-resource-group> # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production🔑 Two rules apply to every code sample below:
- Prefer
DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
- Local dev:
DefaultAzureCredentialworks as-is.- Production: set
AZURE_TOKEN_CREDENTIALS=prod(orAZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.- Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
- Sync:
with <Client>(...) as client:- Async:
async with <Client>(...) as client:andasync with DefaultAzureCredential() as credential:(fromazure.identity.aio)Snippets may abbreviate this setup, but production code should always follow both rules.
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.mgmt.botservice import AzureBotService
import os
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
with AzureBotService(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
# Use `client` for all subsequent operations (see examples below)
...from azure.mgmt.botservice import AzureBotService
from azure.mgmt.botservice.models import Bot, BotProperties, Sku
from azure.identity import DefaultAzureCredential
import os
resource_group = os.environ["AZURE_RESOURCE_GROUP"]
bot_name = "my-chat-bot"
credential = DefaultAzureCredential()
with AzureBotService(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
bot = client.bots.create(
resource_group_name=resource_group,
resource_name=bot_name,
parameters=Bot(
location="global",
sku=Sku(name="F0"), # Free tier
kind="azurebot",
properties=BotProperties(
display_name="My Chat Bot",
description="A conversational AI bot",
endpoint="https://my-bot-app.azurewebsites.net/api/messages",
msa_app_id="<your-app-id>",
msa_app_type="MultiTenant"
)
)
)
print(f"Bot created: {bot.name}")bot = client.bots.get(
resource_group_name=resource_group,
resource_name=bot_name
)
print(f"Bot: {bot.properties.display_name}")
print(f"Endpoint: {bot.properties.endpoint}")
print(f"SKU: {bot.sku.name}")bots = client.bots.list_by_resource_group(resource_group_name=resource_group)
for bot in bots:
print(f"Bot: {bot.name} - {bot.properties.display_name}")all_bots = client.bots.list()
for bot in all_bots:
print(f"Bot: {bot.name} in {bot.id.split('/')[4]}")bot = client.bots.update(
resource_group_name=resource_group,
resource_name=bot_name,
properties=BotProperties(
display_name="Updated Bot Name",
description="Updated description"
)
)client.bots.delete(
resource_group_name=resource_group,
resource_name=bot_name
)from azure.mgmt.botservice.models import (
BotChannel,
MsTeamsChannel,
MsTeamsChannelProperties
)
channel = client.channels.create(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="MsTeamsChannel",
parameters=BotChannel(
location="global",
properties=MsTeamsChannel(
properties=MsTeamsChannelProperties(
is_enabled=True
)
)
)
)from azure.mgmt.botservice.models import (
BotChannel,
DirectLineChannel,
DirectLineChannelProperties,
DirectLineSite
)
channel = client.channels.create(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="DirectLineChannel",
parameters=BotChannel(
location="global",
properties=DirectLineChannel(
properties=DirectLineChannelProperties(
sites=[
DirectLineSite(
site_name="Default Site",
is_enabled=True,
is_v1_enabled=False,
is_v3_enabled=True
)
]
)
)
)
)from azure.mgmt.botservice.models import (
BotChannel,
WebChatChannel,
WebChatChannelProperties,
WebChatSite
)
channel = client.channels.create(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="WebChatChannel",
parameters=BotChannel(
location="global",
properties=WebChatChannel(
properties=WebChatChannelProperties(
sites=[
WebChatSite(
site_name="Default Site",
is_enabled=True
)
]
)
)
)
)channel = client.channels.get(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="DirectLineChannel"
)keys = client.channels.list_with_keys(
resource_group_name=resource_group,
resource_name=bot_name,
channel_name="DirectLineChannel"
)
# Access Direct Line keys
if hasattr(keys.properties, 'properties'):
for site in keys.properties.properties.sites:
print(f"Site: {site.site_name}")
print(f"Key: {site.key}")from azure.mgmt.botservice.models import (
ConnectionSetting,
ConnectionSettingProperties
)
connection = client.bot_connection.create(
resource_group_name=resource_group,
resource_name=bot_name,
connection_name="graph-connection",
parameters=ConnectionSetting(
location="global",
properties=ConnectionSettingProperties(
client_id="<oauth-client-id>",
client_secret="<oauth-client-secret>",
scopes="User.Read",
service_provider_id="<service-provider-id>"
)
)
)connections = client.bot_connection.list_by_bot_service(
resource_group_name=resource_group,
resource_name=bot_name
)
for conn in connections:
print(f"Connection: {conn.name}")| Operation | Method |
|---|---|
client.bots | Bot CRUD operations |
client.channels | Channel configuration |
client.bot_connection | OAuth connection settings |
client.direct_line | Direct Line channel operations |
client.email | Email channel operations |
client.operations | Available operations |
client.host_settings | Host settings operations |
| SKU | Description |
|---|---|
F0 | Free tier (limited messages) |
S1 | Standard tier (unlimited messages) |
| Channel | Class | Purpose |
|---|---|---|
MsTeamsChannel | Microsoft Teams | Teams integration |
DirectLineChannel | Direct Line | Custom client integration |
WebChatChannel | Web Chat | Embeddable web widget |
SlackChannel | Slack | Slack workspace integration |
FacebookChannel | Messenger integration | |
EmailChannel | Email communication |
azure.xxx sync clients with azure.xxx.aio async clients in the same call path. Choose one mode per module.with Client(...) as client: (sync) or async with Client(...) as client: (async). For async DefaultAzureCredential from azure.identity.aio, also use async with credential: so tokens and transports are cleaned up.DefaultAzureCredential for code that runs locally. Use a specific token credential for code that runs in Azure.| File | Contents |
|---|---|
| references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. |
| references/non-hero-scenarios.md | Dedicated non-hero examples for secondary/advanced scenarios. |
© microsoft, MIT. 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 2 other files (references) in .github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py of microsoft/skills.
Open the folder on GitHubat commit 3898ec8
We found 14 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in microsoft/skills, which our catalogue first saw on October 7, 2026.
Azure Mgmt Botservice Py 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 Mgmt Botservice Py this skillmicrosoft/skills | 3.1k | 5 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Azure Storage File Datalake Pyaiskillstore/marketplace | 430 | 4 repos | ~1.5k | Automated safety check: Pass | None | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Terraform Azurerm Set Diff Analyzergithub/awesome-copilot | 40k | 1 repos | ~547 | Automated safety check: Pass | MIT | |
| Osmo Lerobot Trainingmicrosoft/physical-ai-toolchain | 123 | — | ~3.8k | Automated safety check: Notes | MIT | |
| Teams App Developermicrosoft/work-iq | 1k | — | ~1.8k | Automated safety check: Notes | Custom licence |
aiskillstore/marketplace
Azure Data Lake Storage Gen2 SDK for Python. An agent skill from aiskillstore/marketplace.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes.
microsoft/physical-ai-toolchain
Submit, monitor, analyze, and evaluate LeRobot imitation learning training jobs on OSMO with Azure ML MLflow integration and inference evaluation - Brought to you by microsoft/physical-ai-toolchain
microsoft/work-iq
Build, test, and deploy code-based Teams apps using the M365 Agents Toolkit CLI.
timothywarner-org/claude-code
Ship a Python generative-AI app to Azure the keyless way, using DefaultAzureCredential and azd.
microsoft/skills
Covers producer, consumer, and checkpoint-store setup for Azure Event Hubs streaming in Python, with Entra ID auth and partition targeting.
microsoft/skills
Builds podcast-style audio narration from text with Azure OpenAI's GPT Realtime Mini over WebSocket, from a Python FastAPI backend to a React player.
microsoft/skills
Build dark-themed React applications using Tailwind CSS with custom theming, glassmorphism effects, and Framer Motion animations.
microsoft/skills
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.
microsoft/skills
Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.
microsoft/skills
Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services.
Works with
Azure Bot Service Management SDK for Python. An agent skill from microsoft/skills. Azure Mgmt Botservice Py is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure Bot Service Management SDK for Python.
Azure Mgmt Botservice Py fits situations like: configuring Azure Bot Service resources; tasks that involve Chatbots and conversational support.
Run `npx skills add microsoft/skills --skill azure-mgmt-botservice-py -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py in microsoft/skills) into .claude/skills/azure-mgmt-botservice-py in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microsoft/skills --skill azure-mgmt-botservice-py -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-python/skills/azure-mgmt-botservice-py in microsoft/skills) into .agents/skills/azure-mgmt-botservice-py 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 microsoft/skills --skill azure-mgmt-botservice-py -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-mgmt-botservice-py, .gemini/skills/azure-mgmt-botservice-py, .github/skills/azure-mgmt-botservice-py and .opencode/skills/azure-mgmt-botservice-py in your project.
Going by SKILL.md and its folder, Azure Mgmt Botservice Py needs the command-line tools its instructions call (pip) and credentials named AZURE_TOKEN_CREDENTIALS. Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: learn.microsoft.com; the agent is likely to contact it when it follows the instructions. 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.
Azure Mgmt Botservice Py is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k 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 1.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Azure Mgmt Botservice Py: Azure Storage File Datalake Py (aiskillstore/marketplace, 430 stars), Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Terraform Azurerm Set Diff Analyzer (github/awesome-copilot, 40k stars) and Osmo Lerobot Training (microsoft/physical-ai-toolchain, 123 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/skills, which has 3,094 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on October 9, 2026.
Source: microsoft/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.