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Doc Coauthoring

Checked
teamily-ai·vlatest·writing

Collaborate seamlessly on documents with teamily-ai's coauthoring tool, generating content and refining drafts together.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add teamily-ai/skill-creator --skill doc-coauthoring -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

teamily-ai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 teamily-ai/skill-creator at a5bcdd7e58.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
a5bcdd7e58
Manifest
skills/doc-coauthoring/SKILL.md
Scanned
1 file, 376 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The teamily-ai Doc Coauthoring skill facilitates collaborative document creation and editing within AI agent workflows. It allows multiple agents to contribute to a single document, track changes, and resolve conflicts in real time. This promotes efficient teamwork and ensures consistent content across various projects.

When to use it

  • Team Documentation: Create comprehensive documentation for your company or project with contributions from different subject matter experts.
  • Content Creation: Generate blog posts, articles, or marketing materials by having multiple agents draft sections and refine the overall piece.
  • Report Generation: Compile data and insights into a structured report where various AI agents handle specific analysis tasks and integrate their findings.
  • Knowledge Base Development: Build a shared knowledge base by allowing different agents to contribute and maintain articles on diverse topics.

Key capabilities

  • Real-time collaborative editing
  • Change tracking and version history
  • Conflict resolution mechanisms
  • Multi-agent contribution support

Example prompts

  • "Agent A, draft the introduction for this document about AI safety. Agent B, research and write the section on ethical considerations."
  • "Combine the drafts from Agents C and D into a single report on customer churn analysis."
  • “Please merge the latest changes from Agent E's version of the marketing plan with the current master document.”

Tips & gotchas

To ensure smooth collaboration, clearly define roles and responsibilities for each agent involved in the coauthoring process. The skill’s effectiveness relies on agents understanding their assigned tasks and adhering to established content guidelines.