What problem does it solve?
This Skill replaces ad hoc, shallow research with a systematic workflow that explores a topic across independent dimensions, tracks coverage, evaluates evidence quality, and clearly reports gaps and uncertainty.
Core Features & Use Cases
- Multi-Dimensional Exploration: Investigate applicable WHO, WHAT, HOW, WHERE, WHEN, WHY, and LIMITS dimensions alongside cross-cutting concerns such as prior failures, baselines, actual usage, and strategic timing.
- Parallel Evidence Gathering: Coordinate research agents across prioritized directions with controlled depth, deduplication, watchdogs, structured findings, and bounded budgets.
- Quality-Controlled Synthesis: Produce sourced reports with claim registers, corroboration levels, contradiction analysis, citation spot-checks, stale-source warnings, coverage assessments, and known gaps.
- Use Case: For a question about how vector databases handle updates, the Skill can map the technical mechanisms, production constraints, competing approaches, maturity, failure modes, and evidence supporting each conclusion.
Quick Start
Use the deep-research skill to investigate the topic of how vector databases handle updates and produce a comprehensive, source-backed report.