205 lines
5.2 KiB
Plaintext
205 lines
5.2 KiB
Plaintext
# Content Creation Pipeline
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#
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# From idea to published content in one run. Researches a topic in parallel,
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# writes a blog post, refines it through editorial review, and generates
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# social media posts. Watch an entire content operation happen automatically.
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#
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# Usage: Provide a topic and watch the content materialize.
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input topic: "The topic to create content about"
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input audience: "Target audience (e.g., 'developers', 'executives', 'general')"
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agent researcher:
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model: opus # Deep research requires reasoning
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skills: ["web-search"]
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prompt: """
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You are a research specialist. For any topic:
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1. Find authoritative sources
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2. Identify key facts and statistics
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3. Note interesting angles and hooks
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4. Cite your sources
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Return structured research with citations.
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"""
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agent writer:
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model: opus # Writing is hard work
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prompt: """
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You are a skilled technical writer. You write:
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- Clear, engaging prose
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- Well-structured articles with headers
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- Content appropriate for the target audience
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- With a distinctive but professional voice
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Avoid jargon unless writing for experts.
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"""
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agent editor:
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model: sonnet
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persist: true
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prompt: """
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You are a senior editor. You review content for:
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- Clarity and flow
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- Factual accuracy
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- Engagement and hook strength
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- Appropriate length and structure
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Be constructive. Suggest specific improvements.
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"""
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agent social-strategist:
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model: sonnet
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prompt: """
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You create social media content. For each platform:
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- Twitter/X: Punchy, hooks, threads if needed
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- LinkedIn: Professional, insight-focused
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- Hacker News: Technical, understated, genuine
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Match the culture of each platform. Never be cringe.
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"""
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# Phase 1: Parallel research from multiple angles
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session "Research phase starting for: {topic}"
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parallel:
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core_research = session: researcher
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prompt: """
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Deep research on: {topic}
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Find:
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- Current state of the art
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- Recent developments (last 6 months)
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- Key players and their positions
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- Statistics and data points
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"""
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competitive_landscape = session: researcher
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prompt: """
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Competitive/comparative research on: {topic}
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Find:
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- Alternative approaches or solutions
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- Pros and cons of different options
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- What experts recommend
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"""
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human_interest = session: researcher
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prompt: """
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Human interest research on: {topic}
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Find:
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- Real-world case studies
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- Success and failure stories
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- Quotes from practitioners
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- Surprising or counterintuitive findings
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"""
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# Phase 2: Synthesize research
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let research_synthesis = session "Synthesize all research"
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prompt: """
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Combine all research into a unified brief:
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1. Key thesis/angle for the article
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2. Supporting evidence ranked by strength
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3. Narrative arc suggestion
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4. Potential hooks and headlines
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Target audience: {audience}
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"""
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context: { core_research, competitive_landscape, human_interest }
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# Phase 3: Write first draft
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let draft = session: writer
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prompt: """
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Write a blog post on: {topic}
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Target: {audience}
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Length: 1500-2000 words
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Structure: Hook, context, main points, examples, conclusion
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Use the research provided. Cite sources where appropriate.
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"""
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context: research_synthesis
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# Phase 4: Editorial loop
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session: editor
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prompt: "Beginning editorial review. I'll track revisions."
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loop until **the article meets publication standards** (max: 4):
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let critique = resume: editor
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prompt: """
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Review this draft critically:
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1. What works well?
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2. What needs improvement?
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3. Specific suggestions (be actionable)
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4. Overall verdict: READY / NEEDS_REVISION
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Be demanding but fair.
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"""
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context: draft
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if **the article needs revision**:
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draft = session: writer
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prompt: """
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Revise the article based on editorial feedback.
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Address each point specifically.
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Maintain what's working well.
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"""
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context: { draft, critique }
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# Phase 5: Generate social media variants
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parallel:
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twitter_content = session: social-strategist
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prompt: """
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Create Twitter/X content to promote this article:
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1. Main announcement tweet (punchy, with hook)
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2. 5-tweet thread extracting key insights
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3. 3 standalone insight tweets for later
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Include placeholder for article link.
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"""
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context: draft
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linkedin_post = session: social-strategist
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prompt: """
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Create a LinkedIn post for this article:
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- Professional but not boring
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- Lead with insight, not announcement
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- 150-300 words
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- End with genuine question for engagement
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"""
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context: draft
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hn_submission = session: social-strategist
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prompt: """
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Create Hacker News submission:
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- Title: factual, not clickbait, <80 chars
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- Suggested comment: genuine, adds context, not promotional
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HN culture: technical, skeptical, hates marketing speak.
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"""
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context: draft
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# Phase 6: Package everything
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output article = draft
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output social = { twitter_content, linkedin_post, hn_submission }
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resume: editor
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prompt: """
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Content Pipeline Complete!
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Final package:
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1. Article: {draft length} words, {revision count} revisions
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2. Twitter: thread + standalone tweets
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3. LinkedIn: professional post
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4. HN: submission ready
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Recommended publication order:
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1. Publish article
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2. HN submission (wait for feedback)
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3. Twitter thread
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4. LinkedIn (next business day AM)
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All files saved to ./content-output/
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"""
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context: { draft, twitter_content, linkedin_post, hn_submission }
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