What problem does it solve?
This Skill gives an existing research project a durable middle layer between raw source gathering and final synthesis, so a large corpus can be organized instead of left as an unstructured pile of notes. It helps the agent turn evidence into a readable, queryable digest that supports later analysis and decision-making.
Core Features & Use Cases
- Emergent synthesis matrix: Builds a concept matrix from sources so rows represent sources and columns emerge from the material rather than from a fixed template.
- Analytic memos: Writes memo notes that capture patterns, tensions, gaps, and revisions to the working hypothesis as the corpus evolves.
- Research workflow support: Fits projects that already have gathered sources and need structured comparison, clustering, and hypothesis tracking before final synthesis.
- Provenance-aware reasoning: Uses source reliability and credibility cues to weight analysis without turning the process into a scoring system.
Quick Start
Ask the AI to digest the project’s gathered sources into a synthesis matrix and analytic memos for the current research folder.
