What problem does it solve? Scattered pipeline output — past research reports, task artifacts, reviews, and git history — is hard to consolidate by hand. This Skill harvests those local sources and folds them into a single unified report with cross-referenced findings, conflicts, and residual gaps. ## Core Features & Use Cases - Local-first synthesis: Inventories .mz/research/, .mz/task/, .mz/reports/, .mz/reviews/, codebase files, and git history, then decomposes the task into 3–6 parallel research lenses. - Approval-gated pipeline: Presents the source inventory and any residual gaps for explicit user approval before dispatching agents or optional web gap-fill research. - Task-adaptive reports: Generates report sections from the task text (or a user-supplied sections: list), always appending Timeline, Conflicts, Gaps, Sources, and Methodology meta-sections. - Use Case: After several weeks of investigation, run /combine synthesize our findings on the auth refactor to merge prior deep-research reports, task artifacts, and commit history into one cited report. ## Quick Start Ask the AI to combine all prior research and task artifacts about a specific topic into a single consolidated report.