Skill Authoring
OfficialSkill Authoring empowers you to easily create and customize AI skills, streamlining development & boosting your bot's capabilities for tailored interactions.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add microsoft/github-copilot-for-azure --skill skill-authoring -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
microsoft
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned microsoft/github-copilot-for-azure at f2526ae581.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f2526ae581
- Scanned
- 14 files, 766 lines
About this skill
What it does
This skill enables AI agents to generate, edit, and format text-based content such as code, documentation, and creative writing. It allows agents to produce high-quality output by leveraging large language models for natural language processing tasks.
When to use it
- Drafting technical documentation or user guides from raw specifications.
- Generating boilerplate code snippets or refactoring existing scripts.
- Creating marketing copy, email drafts, or social media posts.
- Summarizing long articles or extracting key insights from reports.
Key capabilities
- Natural language understanding and generation
- Code syntax highlighting and formatting
- Context-aware content adaptation
- Multi-format output support (Markdown, JSON, etc.)
Example prompts
"Write a Python function that validates email addresses using regex."
"Create a step-by-step tutorial on deploying an Azure Kubernetes Service cluster."
"Summarize the key points from this research paper into three bullet points."
Tips & gotchas
Ensure input context is clear and specific to avoid generic outputs. Some models may require explicit instructions for formatting or tone adjustments.