Authoring Skills
OfficialThis skill helps you generate diverse content formats like articles and stories, boosting your writing productivity and creative output.
Install on your platform
authoring-skills. SKILL.md is marked internal, so the skills CLI hides it.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
vercel
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 vercel/next.js at e7feae7d53.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e7feae7d53
- Scanned
- 1 file, 109 lines
About this skill
The authoring-skills capability enables AI agents to generate, edit, and deploy Next.js application code directly within the Vercel ecosystem. It streamlines the development lifecycle by allowing agents to create new projects, modify existing files, and manage deployments without manual intervention.
When to use it
- Automating the creation of boilerplate Next.js applications with specific configurations.
- Iteratively refining application logic or UI components based on feedback.
- Deploying updated code versions directly from an agent's generated context.
- Generating documentation or migration scripts for existing Vercel projects.
Key capabilities
- Full-stack Next.js code generation and editing
- Direct integration with Vercel deployment pipelines
- Project scaffolding and configuration management
- Automated file system operations within the repository
Example prompts
- "Create a new Next.js project with TypeScript and Tailwind CSS configured for a blog."
- "Update the homepage component to include a dynamic search bar using the existing API routes."
- "Deploy the current version of this application to production on Vercel after fixing the navigation bug."
Tips & gotchas
Ensure your AI agent has read/write access to the target repository and appropriate permissions for Vercel deployments before attempting code generation. Complex architectural changes may require human review to ensure alignment with existing design patterns.