deepresearch-integrator

Consolidating research files involves merging disparate findings into one coherent document. This Skill processes deepresearch result files one at a time, generates a detailed plan for each file, waits for your approval, then applies only approved changes to produce a structured markdown report with executive summaries, tables of contents, and attribution.

Yes. This Skill automates report generation by processing deepresearch files iteratively with user supervision—it proposes consolidation changes, requires your approval before applying them, and moves processed files to a tracked directory, eliminating manual merge errors while maintaining control over the final output.

Comprehensive report generation from multiple analyses requires structured consolidation with consistency checks. This Skill enforces per-file processing, user-approved updates, and produces markdown output with logical sections, executive summaries, tables of contents, and final review metadata for stakeholder-ready reports.

Organize your deepresearch result files in a research/ directory beforehand. The Skill then processes them one by one, generates consolidation plans for approval, and outputs a final-report.md, so you only need files accessible and organized by directory, not manually pre-structured.

Iterative processing ensures thorough context understanding by consolidating files one at a time rather than bulk-merging. This approach lets you review and approve changes per file, catch inconsistencies early, and maintain coherence across sections, resulting in higher-quality reports than batch processing.

After processing and consolidation, research files are moved to a processed/ directory, keeping your original research/ folder clean and providing an audit trail of which files contributed to the final report.