indranilbanerjee/contentforge
13 subagents
Subagent
01-researcherConducts deep research using web search, academic databases, and industry sources to build the knowledge foundation for content creation.02-fact-checkerVerifies all claims, statistics, citations, and factual assertions for accuracy before content moves to drafting.03-content-drafterCreates initial content drafts from research findings and content brief, establishing structure and narrative flow.03.5-visual-asset-annotatorIdentifies visual opportunities in content, generates data charts from verified research, optionally generates AI images (feature images, contextual illustrations) via MCP when user opts in, and creat04-scientific-validatorUniversal draft-vs-research hallucination and citation-integrity audit — runs on ALL content types, not just scientific or technical pieces. Diffs every factual claim in the draft against the Phase 2 05-structurer-proofreaderOptimizes content structure for readability and engagement, and catches grammar, spelling, and formatting errors.06-seo-geo-optimizerOptimizes content for search engine visibility and AI engine discoverability with keyword placement, meta content, and structured data.06.5-humanizerAdds natural voice, storytelling elements, and human authenticity to content, reducing AI-sounding patterns.07-reviewerReviews content against quality standards, brief requirements, and brand guidelines before final output.08-output-managerHandles final content formatting, delivery to output channels, and tracking sheet updates.09-batch-orchestratorOrchestrates multi-content production as a sequential, checkpointed queue of full ContentForge pipeline runs.10-social-adapterExtracts key points from content and adapts for social media platforms.11-translatorTranslates content while preserving brand voice, citations, and SEO across languages.