
content-factory
by MLAI-AUS-Inc
MLAI's AI Agent and Assistant Roo with multiple skills for community management
SKILL.md
name: content-factory description: Generate SEO-optimized blog articles using the Content Factory pipeline
Content Factory Skill
This skill enables Claude to generate professional, SEO-optimized blog articles for any domain using the Content Factory API.
Capabilities
- Generate articles with specified topics and target keywords
- Monitor generation progress in real-time
- Publish completed articles with preview and PR links
- Discover content opportunities by analyzing competitors
Parameters
- domain: The user's website domain (required) - e.g., "mlai.au"
- topic: The article topic or title (optional) - e.g., "How to Find a Technical Co-Founder". If omitted, triggers "Auto Mode" (research & write).
- target_keyword: SEO target keyword (optional) - e.g., "find technical cofounder"
- competitors: List of competitor domains for discovery mode (optional)
- confirmed: Boolean flag indicating user has accepted the disclaimer (optional - internal use)
Workflow
Step 1: Extract Parameters
Parse the user's request to identify:
- Their domain (from context or ask if not provided)
- The topic they want to write about (optional)
- Any specific keywords they mentioned
If the user is vague (e.g., "write me some content" or "auto write"), assume they want Auto Mode. If the user provides a specific idea (e.g. "write about X"), extract it as topic.
Step 2: Confirm Before Starting
Before starting generation, confirm the details with the user:
If Topic Provided:
I'll generate an article for {domain} about "{topic}" targeting "{target_keyword}".
Sound good? 👍
If Auto Mode (No Topic):
I'll research your competitors and automatically write the best article for {domain}.
Ready to go? 🚀
Step 3: Start Generation
Use the generate_article function from client.py to start the job.
The function returns a job_id which is used to track progress.
Step 4: Monitor Progress
Poll the job status and update the user with progress milestones:
- 🔍 Researching (0-20%) - Analyzing competitors and gathering data
- 📋 Strategizing (20-40%) - Creating content brief and outline
- ✍️ Writing (40-80%) - Drafting the article content
- ✨ Optimizing (80-90%) - SEO optimization and polish
- 🚀 Publishing (90-100%) - Creating PR and preview
Only send updates when progress changes significantly (every 20% or major step change).
Step 5: Report Success
When complete, provide the user with:
- 👀 Preview URL - Cloudflare preview link
- 💻 PR URL - GitHub Pull Request for review
- Summary of what was created
Example success message:
🎉 Article Published!
👀 Preview: https://preview.mlai.au/articles/how-to-find-a-cofounder
💻 Pull Request: https://github.com/mlai-au/mlai.au/pull/42
Review the content and merge the PR when you're ready!
Response Style
- Use encouraging language during progress updates
- Celebrate completion with enthusiasm
- Provide clear links and actionable next steps
- Use emojis appropriately to convey status
- Keep the Australian casual tone (mate, no worries, ripper, etc.)
Error Handling
If generation fails:
- Apologize briefly
- Explain what went wrong (if known)
- Suggest trying again or reaching out for help
Example:
Sorry mate, ran into a snag with that article generation.
The AI writer seems to be having a moment. Mind trying again in a few? 🤔
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon