By rpiplewar
Automate end-to-end social media content generation from Linear tasks: extract recurring themes from POA-5 to POA-14 stories, generate 25+ Twitter post/thread variations via parallel agents targeting cognitive biases and structures, score with Gap Selling/Cognitive Biases/Decision frameworks (max 30 points), review for accuracy/engagement, rank/select top ready-to-post piece in content-ready.md.
npx claudepluginhub rpiplewar/shipfaster --plugin content-genReview scored content and provide improvement suggestions
Extract stories from Linear tasks and identify themes for content generation
Execute end-to-end content generation pipeline from Linear stories to ready-to-post content
Generate 5 content variations for a theme using parallel multi-agent approach
Apply automated 3-framework scoring to all content variations
Select the best content piece from scored variations and format for content-ready.md
Review scored content variations (15-25/30 range), provide specific improvement suggestions, and filter out content below quality threshold (<20/30).
Generate 5 unique content variations for a given theme, each targeting different cognitive bias combinations and content structures. Execute using parallel sub-agent spawning for maximum diversity and speed.
Analyze posted content metrics, identify winning patterns, and adjust scoring weights to continuously improve content quality and engagement prediction.
Apply automated 3-framework scoring (Gap Selling + Munger Biases + Decision Framework) to all content variations, calculating total scores with detailed breakdowns for quality assessment.
Rank all PASS content (20+/30 scores), apply tie-breaker rules, and select EXACTLY ONE best piece for content-ready.md.
Extract stories from Linear tasks (POA-5 to POA-14), identify recurring themes, and output structured theme extraction to `themes-memory.md` for content generation.
Content Creator subagent
Content marketing with content strategy and search specialist agents
Social media content creation — platform-formatted posts for LinkedIn, Facebook, Instagram, and Reddit with character limits, hashtag strategies, and image specs.
AI Marketing Agent — SEO, GEO, trend scouting, competitor analysis, content gaps, Google Search Console reports, article generation in 55 languages with AI illustrations and voice-over, article lifecycle management (publish/unpublish/delete), social adaptations (X, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts, Shopify), lead magnets, content ingestion (YouTube, web, PDF, audio), short-form AI UGC viral videos with subtitles and direct video publishing to Instagram Reels and YouTube Shorts, turbo mode, webhooks, and automated content autopilot.
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
AI-powered content generation from your terminal — images, video, music, audio, editing, and social publishing
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
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