draft-content▌
anthropics/knowledge-work-plugins · updated May 10, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Draft Content
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Generate marketing content drafts tailored to a specific content type, audience, and brand voice.
Trigger
User runs /draft-content or asks to draft, write, or create marketing content.
Inputs
Gather the following from the user. If not provided, ask before proceeding:
-
Content type — one of:
- Blog post
- Social media post (specify platform: LinkedIn, Twitter/X, Instagram, Facebook)
- Email newsletter
- Landing page copy
- Press release
- Case study
-
Topic — the subject or theme of the content
-
Target audience — who this content is for (role, industry, seniority, pain points)
-
Key messages — 2-4 main points or takeaways to communicate
-
Tone — e.g., authoritative, conversational, inspirational, technical, witty (optional if brand voice is configured)
-
Length — target word count or format constraint (e.g., "1000 words", "280 characters", "3 paragraphs")
Brand Voice
- If the user has a brand voice configured in their local settings file, apply it automatically. Inform the user that brand voice settings are being applied.
- If no brand voice is configured, ask: "Do you have brand voice guidelines you'd like me to follow? If not, I'll use a neutral professional tone."
- Apply the specified or default tone consistently throughout the draft.
Content Generation by Type
Blog Post
- Engaging headline (provide 2-3 options)
- Introduction with a hook (question, statistic, bold statement, or story)
- 3-5 organized sections with descriptive subheadings
- Supporting points, examples, or data references in each section
- Conclusion with a clear call to action
- SEO considerations: suggest a primary keyword, include it in the headline and first paragraph, use related keywords in subheadings
Social Media Post
- Platform-appropriate format and length
- Hook in the first line
- Hashtag suggestions (3-5 relevant hashtags)
- Call to action or engagement prompt
- Emoji usage appropriate to brand and platform
- If LinkedIn: professional framing, paragraph breaks for readability
- If Twitter/X: concise, punchy, within character limit
- If Instagram: visual-first language, story-driven, hashtag block
Email Newsletter
- Subject line (provide 2-3 options with open-rate considerations)
- Preview text
- Greeting
- Body sections with clear hierarchy
- Call to action button text
- Sign-off
- Unsubscribe note reminder
Landing Page Copy
- Headline and subheadline
- Hero section copy
- Value propositions (3-4 benefit-driven bullets or sections)
- Social proof placeholder (suggest testimonial or stat placement)
- Primary and secondary CTAs
- FAQ section suggestions
- SEO: meta title and meta description suggestions
Press Release
- Headline following press release conventions
- Dateline and location
- Lead paragraph (who, what, when, where, why)
- Supporting quotes (provide placeholder guidance)
- Company boilerplate placeholder
- Media contact placeholder
- Standard press release formatting
Case Study
- Title emphasizing the result
- Customer overview (industry, size, challenge)
- Challenge section
- Solution section (what was implemented)
- Results section with metrics (prompt user for data)
- Customer quote placeholder
- Call to action
SEO Considerations (for web content)
For blog posts, landing pages, and other web-facing content:
- Suggest a primary keyword based on the topic
- Recommend keyword placement: headline, first paragraph, subheadings, meta description
- Suggest internal and external linking opportunities
- Recommend a meta description (under 160 characters)
- Note image alt text opportunities
Output
Present the draft with clear formatting. After the draft, include:
- A brief note on what brand voice and tone were applied
- Any SEO recommendations (for web content)
- Suggestions for next steps (e.g., "Review with your team", "Add customer quotes", "Pair with a visual")
Ask: "Would you like me to revise any section, adjust the tone, or create a variation for a different channel?"
How to use draft-content on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add draft-content
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches draft-content from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate draft-content. Access the skill through slash commands (e.g., /draft-content) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★42 reviews- ★★★★★Meera Brown· Dec 20, 2024
draft-content fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Shikha Mishra· Dec 16, 2024
Solid pick for teams standardizing on skills: draft-content is focused, and the summary matches what you get after install.
- ★★★★★Lucas Malhotra· Dec 12, 2024
draft-content has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diya Menon· Dec 4, 2024
I recommend draft-content for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Diya Dixit· Nov 23, 2024
Keeps context tight: draft-content is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Amina Chawla· Nov 11, 2024
Registry listing for draft-content matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Meera Taylor· Nov 11, 2024
We added draft-content from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Diya Martin· Oct 14, 2024
draft-content is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Amina Malhotra· Oct 2, 2024
draft-content reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Lucas Mehta· Oct 2, 2024
draft-content fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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