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AI Content Collaboration Workflow

An editorial leader's playbook for splitting work between humans and AI: participation boundaries, hybrid workflow patterns, voice preservation, slop prevention, and disclosure policy.

Content & WritingIntermediate★ 865⑂ 120AI score 8/10Last updated: Sep 7, 2026

What it does

  • Draws participation boundaries: names where AI legitimately accelerates (research synthesis, outlines, first drafts, alt phrasings, transcription, scaled QC flagging) and where humans must own (publish/kill decisions, brand voice, fact verification, quote attribution, ethics, final sign-off).
  • Helps pick a hybrid pattern: five named patterns with tradeoffs, from AI-first-draft/human-heavy-edit to AI-generates-at-scale/human-samples for programmatic SEO.
  • Prevents AI slop: diagnoses what makes output generic and prescribes fixes — voice guidelines as prompt context, sample text as a voice anchor, mid-draft drift checks, reject-the-bland rewriting.
  • Designs disclosure policy: a four-tier framework (always disclose / default / generally unnecessary / clearly fine) with concrete disclosure wording.
  • Calibrates a team: documented AI policy, calibration sessions, forbidden-pattern list, voice library upkeep, onboarding in the first two weeks.
  • Audits with a 12-point framework whose output is a shareable workflow doc naming rules, pattern, disclosure tier, and the accountable signer.

Recommended for

  • Content directors, managing editors, content ops leads
  • Teams stuck on "we use AI but everything reads generic"
  • Agencies or in-house teams where each writer uses AI differently
  • Anyone who must publish an explicit AI policy in a regulated or trust-sensitive niche

Usage examples

  1. Readers complain a blog "feels AI-written" → apply the slop-prevention and voice-preservation patterns to redesign the editing loop.
  2. Six writers, six AI habits → draft an approved / permission-required / prohibited policy plus a calibration session agenda.
  3. A named-expert thought-leadership byline is partly AI-drafted → set the disclosure tier, choose wording, and install a fact-verification halt gate.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/rampstackco/claude-skills/HEAD/dist/pi/.agents/skills/ai-content-collaboration/SKILL.md

What I want: (describe your task here)

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↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the dist/pi/.agents/skills/ai-content-collaboration folder from the GitHub repo rampstackco/claude-skills into my ~/.claude/skills/ai-content-collaboration/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/rampstackco/claude-skills.git /tmp/claude-skills && mkdir -p ~/.claude/skills && cp -r /tmp/claude-skills/dist/pi/.agents/skills/ai-content-collaboration ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal (Terminal on macOS/Linux, Git Bash or WSL on Windows).
  2. Clone the repo to a temp folder: git clone https://github.com/rampstackco/claude-skills.git /tmp/claude-skills
  3. Make sure your skills folder exists: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r /tmp/claude-skills/dist/pi/.agents/skills/ai-content-collaboration ~/.claude/skills/
  5. Verify the deep-dive docs came along: ls ~/.claude/skills/ai-content-collaboration/references (if empty, the skill still works from SKILL.md alone).
  6. Restart Claude Code and trigger it with something like "audit our AI-assisted content workflow" or "write an AI usage policy for our editorial team".
View source on GitHub ↗License: MIT