Content Workflow
SkillAI & modelsEnd-to-end content creation pipeline from research through editorial review to social distribution. Orchestrates a 3-stage workflow: research, draft/edit, and distribute. Supports blog posts, LinkedIn, Twitter threads, newsletters, and essays.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Content Workflow skill
What this skill tells your AI
The instructions your AI receives, as published by thatrebeccarae/claude-marketing in skills/content-workflow/SKILL.md and read by ahel’s review.
End-to-end content creation pipeline: research, draft, review, distribute.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/content-workflow ~/.claude/skills/
Pipeline Stages
Stage 1: Research
Gather raw material for the content piece.
- Topic research — web search, RSS feeds, industry sources
- Source assessment — credibility, recency, relevance
- Data extraction — key statistics, quotes, data points
- Counter-arguments — opposing views, nuance, caveats
- Angle development — what makes this piece unique
Output: Research brief with sources, data points, and recommended angle.
Stage 2: Draft & Edit
Create and refine the content.
- Draft — write following the content type framework and brand voice
- Editorial review against quality criteria:
- Voice consistency
- Structural quality (hook → body → CTA)
- SEO optimization (if applicable)
- Factual accuracy (all claims sourced)
- Readability (appropriate level for audience)
- Revision — apply specific feedback
- Final review — verify all issues addressed
Output: Polished draft ready for approval.
Stage 3: Distribute
Adapt the finished piece for cross-platform distribution.
- LinkedIn post — hook, body, CTA, hashtags
- Twitter/X thread — numbered tweets, hooks per tweet
- Email subject lines — 3 options with preview text
- Pull quotes — 3-5 shareable excerpts for social
Output: Distribution pack with platform-specific adaptations.
Usage Modes
Full Pipeline
/content-workflow [topic]
Runs all 3 stages: research → draft → review → distribute.
Start from Draft
/content-workflow --from-draft [file path]
Skips research. Takes an existing draft through editorial review and distribution.
Distribution Only
/content-workflow --distribute [file path]
Takes a finished, approved piece and creates the social distribution pack.
Content Types
| Type | Research Depth | Draft Length | Distribution |
|---|---|---|---|
| Blog post | Deep (5+ sources) | 1,500-2,500 words | LinkedIn + Twitter + Email |
| LinkedIn post | Light (2-3 sources) | 150-300 words | Twitter adaptation only |
| Twitter thread | Light (1-2 sources) | 5-12 tweets | LinkedIn adaptation only |
| Newsletter | Medium (3-5 sources) | 500-1,000 words | Twitter + LinkedIn teasers |
| Essay | Deep (8+ sources) | 2,000-4,000 words | Full distribution pack |
Status Tracking
Content moves through these statuses:
stub → draft → reviewed → approved → published → measured
↘ rejected (terminal)
- stub: Topic identified, no content yet
- draft: First draft complete
- reviewed: Editorial review complete
- approved: Human approval gate passed
- published: Live on platform
- measured: Performance data collected
- rejected: Did not pass review, will not publish
Key Principles
- Research before writing. Even short posts benefit from 10 minutes of source gathering.
- One piece, many platforms. Write once, adapt to each platform's format.
- Human approval gate. Never publish without explicit approval.
- Measure everything. Track performance to inform future content decisions.
For editorial review criteria and platform templates, see REFERENCE.md.
Signals
- GitHub stars
- 136
- Forks
- 23
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
content-workflow- Source
- github.com/thatrebeccarae/claude-marketing