/ideas - Content Ideas Generator
Command Description
Orchestrates multiple research subagents to discover trending topics, content formulas, and inspiration for creating content ideas across YouTube Videos, Shorts, Twitter posts, and LinkedIn posts tailored to our brand and business goals.
Usage
/ideas
Command Logic
Step 1: Context Loading & Directory Setup
First, read and understand our content goals and positioning:
Read @CONTEXT.md to understand:
- Our target audience <CUSTOMIZE: Define your ideal customer profile>
- Our unique positioning <CUSTOMIZE: Define your brand positioning>
- Our content themes <CUSTOMIZE: List your main content topics>
- Our tone <CUSTOMIZE: Define your brand voice and style>
Create timestamp for this research session: {timestamp}
Create research directory: research_results_{timestamp}/
Step 2: Deploy Research Subagents
Launch all research subagents simultaneously with specific instructions:
Agent-Blog-Researcher Instructions:
Search predefined technical blogs for:
1. Trending topics in <CUSTOMIZE: your industry and related fields>
2. Popular content structures and frameworks being discussed
3. New tools, methodologies, or case studies gaining traction
4. Pain points and challenges being discussed by our target audience
Write findings to: research_results_{timestamp}/blog_findings.md
Include: Source URL, topic/trend, engagement indicators, relevance score (1-10)
Search predefined Twitter accounts for:
1. Viral content formulas and hooks in our niche
2. Trending hashtags related to <CUSTOMIZE: your industry topics>
3. Popular thread structures and engagement patterns
4. Current conversations and debates in our space
Write findings to: research_results_{timestamp}/twitter_findings.md
Include: Tweet URL, hook/opening line, engagement metrics, content format
Agent-Reddit-Researcher Instructions:
Search relevant subreddits <CUSTOMIZE: list subreddits relevant to your industry> for:
1. Hot discussions and trending topics
2. Common questions and pain points
3. Successful post formats and titles
4. Emerging trends and tools being discussed
Write findings to: research_results_{timestamp}/reddit_findings.md
Include: Subreddit, post title, upvotes/comments, key discussion points
Agent-Perplexity-Researcher Instructions:
Research high traffic low competition SEO keywords in the <CUSTOMIZE: your industry and niche> space.
Write findings to: research_results_{timestamp}/perplexity_findings.md
Agent-YouTube-Researcher Instructions:
Search predefined YouTube channels for:
1. High-performing video titles and thumbnails in our niche
2. Popular video formats (tutorials, case studies, behind-the-scenes)
3. Trending topics and keywords
4. Successful hooks and intro strategies
Write findings to: research_results_{timestamp}/youtube_findings.md
Include: Video URL, title, view count, format type, hook analysis
Step 3: Wait for Subagent Completion
Wait for all subagents to complete and confirm all research files exist:
- research_results_{timestamp}/blog_findings.md
- research_results_{timestamp}/twitter_findings.md
- research_results_{timestamp}/reddit_findings.md
- research_results_{timestamp}/perplexity_findings.md
- research_results_{timestamp}/youtube_findings.md
Step 4: Analyze and Synthesize
Read all research files and analyze for:
1. Cross-platform trending topics that align with our brand
2. Successful content formulas and structures
3. High-engagement hooks and opening lines
4. Gap opportunities (topics being discussed but not well covered)
5. Content formats that perform well across platforms
Step 5: Generate Content Ideas
Based on the research synthesis, generate content ideas for each platform:
- Focus on: Deep technical tutorials, case study breakdowns, system building
- Ideal length: 8-15 minute educational content
- Include: Strong hook, clear value proposition, technical depth
YouTube Shorts:
- Focus on: Quick tips, tool demos, behind-the-scenes moments
- Ideal length: 30-60 seconds
- Include: Fast hook, visual demonstration, clear takeaway
- Focus on: Technical insights, thread starters, tool recommendations
- Include: Strong opening hook, thread potential, engagement drivers
LinkedIn Posts:
- Focus on: Professional insights, case studies, industry observations
- Include: Professional hook, business value, thought leadership angle
Step 6: Output Generation
Create a comprehensive CSV file with the following structure:
platform,content_type,title,hook,description,estimated_effort,trending_score,alignment_score
Column Definitions:
platform: YouTube_Video, YouTube_Short, Twitter, LinkedIncontent_type: Tutorial, Case_Study, Behind_Scenes, Tool_Demo, Thread, Insight, etc.title: Compelling title/headlinehook: Opening line or hook to grab attentiondescription: Brief content description and key points to coverestimated_effort: Low, Medium, High (based on production complexity)trending_score: 1-10 (how trending/timely the topic is)alignment_score: 1-10 (how well it aligns with our brand/goals)
Step 7: Final Output
Save the final content ideas to: research_results_{timestamp}/content_ideas_[YYYY-MM-DD].csv
Display summary:
- Total ideas generated: X
- Platform breakdown: YouTube Videos (X), Shorts (X), Twitter (X), LinkedIn (X)
- Top 3 trending topics identified
- Top 3 recommended immediate content pieces
- Research sources consulted: X blogs, X Twitter accounts, X subreddits, etc.
platform,content_type,title,hook,description,estimated_effort,trending_score,alignment_score
YouTube_Video,Tutorial,"<Example: Building a Content Factory with AI Agents>","<Example: What if I told you I could generate 50 blog posts in 30 minutes?>","<Example: Complete walkthrough of setting up automated content generation>",High,9,10
YouTube_Short,Tool_Demo,"<Example: This AI Tool Transforms Content Creation>","<Example: Stop struggling with content creation...>","<Example: Demo of Content OS generating high-quality content>",Low,8,9
Twitter,Thread,"<Example: Why most creators are stuck in the past 🧵>","<Example: Most creators still work like it's 2015. Here's what they're missing:>","<Example: Thread about systematic approaches to content creation>",Medium,7,10
LinkedIn,Case_Study,"<Example: How We 10x'd Our Content Output (Case Study)>","<Example: Traditional methods promised 8 pieces/month. We delivered 73.>","<Example: Detailed case study with metrics and methodology>",Medium,8,10
Notes
- All research files should be saved to
research_results_{timestamp}/ directory
- Final CSV should be timestamped for version control
- Consider running this command weekly to stay current with trends
- Prioritize ideas with high alignment_score (8+) and trending_score (7+)
- Use estimated_effort to balance quick wins with substantial content pieces
- DO NOT HALLUCINATE information about the business that you do not know 100% to be true. Don't suggest case studies, testimonials, success metrics, if they are not provided to you. Follow the CONTEXT.md for accurate information about the current status and capabilities.
Dependencies
- Requires all 5 subagents to be properly configured
- Requires CONTEXT.md file in project root
- Requires write permissions to researchresults{timestamp}/ directory