Content Blueprint
Orchestrate Multi-Skill Content and Analysis Workflows
Three agents that combine multiple skills into comprehensive content strategies, engagement analyses, and trend research.
What problem does this solve?
Orchestrates all content skills into complete, actionable strategies and analyses instead of single-skill outputs. The content-strategist agent designs a full weekly content plan based on your niche, growth stage, and capacity, then generates all content pieces with engagement scores and optimal posting times. The engagement-analyzer agent compares multiple tweet or thread drafts with detailed scoring across all six engagement dimensions. The trend-researcher agent runs deep multi-query trend analysis across developer niches to identify high-potential content angles before you write.
How does it work?
Each agent handles a different multi-skill workflow. 1. For full strategy: run the content-strategist agent. Describe your niche, growth stage, and content capacity. It discovers trends, designs a weekly content pillar mix, generates all week's content pieces, optimizes and scores each piece, assigns posting times, and provides growth tactics (reply strategy, engagement targets, bio optimization). 2. For engagement analysis: run the engagement-analyzer agent with multiple tweet or thread drafts. It scores each against all six dimensions and highlights the winner with specific improvement suggestions for runners-up. 3. For trend deep-dives: run the trend-researcher agent with a niche. It runs multi-query trend analysis to surface high-potential content angles and scoring. Output: a complete weekly content calendar with ready-to-post content ranked by score and optimal posting times; detailed engagement comparison matrices; or a prioritized list of high-potential trend angles with content recommendations.
What's required to run this?
Agents are model=sonnet (Claude 3.5 Sonnet) orchestrators that invoke individual skills in sequence. Content-strategist may make multiple skill invocations based on your content plan (one per week day). Live mode agents leverage X API for real-time trend data in trend-researcher and content-strategist.
Key Features
Content Strategist Agent
Orchestrates 9 content skills into a complete weekly strategy: discover trends, design pillar mix by growth stage, generate all content pieces, score each piece, assign posting times, and provide growth tactics
Engagement Analyzer Agent
Compares multiple tweet/thread drafts with detailed scoring across hook strength, reply potential, shares, saves, algorithm fit, and audience match; recommends the winner and improvement suggestions
Trend Researcher Agent
Runs multi-query trend analysis across developer niches to surface high-potential content angles, scores them, and recommends content formats
Growth Stage Adaptation
Content-strategist tailors strategy by follower bracket (0-1K: reply-heavy; 1K-10K: balanced; 10K-50K: authority; 50K+: platform building)
Ready-to-Post Output
All agent outputs include complete, publishable content pieces (not outlines or ideas) with engagement scores, optimal posting times, and growth tactics
About This Blueprint
- Industry
- Technology
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Ishani D.
Account Manager at G2