research-synthesis

Open-source deep research MCP. Qwen3-30B-A3B-Thinking via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor, Hermes and any MCP-compatible agent.

Agent skills for systematic review, meta-analysis, umbrella review, and AI-assisted evidence synthesis.

Aligning opposites into unified intelligence.

SAGE: Self-Adaptive Goal-directed Executor — A multi-tool LLM agent with DAG-based hierarchical planning, ReAct reasoning, and evidence-guided self-correction for automated research synthesis. Built from scratch, no frameworks.

A Python toolkit for systematic literature reviews — by Proportione. PRISMA 2020 + MMAT 2018 + bibliometrics, with CLI and Streamlit demo.

Claude Skills for PM workflows: insight synthesis, problem clarity checks, PRD critic and RICE prioritization.

Turn messy context into a brief you can think with for Claude and Codex.

Demonstration of the Framework to manage Variance Theories in Software Engineering

(experimental) Parallel multi-agent swarm architecture for collective AI intelligence. All agents live. All agents share memory. All agents iterate until consensus.

A Claude Skill that turns messy UX research into a ranked, defensible product backlog — every item traced to a verbatim participant quote. Research synthesis and prioritization for solo designers and researchers.

A curated map of judgment infrastructure for human-led AI.

Consolidate multiple AI deep research reports into one verified master document. Gated systematic review pipeline, zero runtime AI dependency.

PhD Lecture "Research Synthesis: An Introduction to Reviews, Meta-Analyses, and PRISMA Criteria"

Cut LLM costs by 10–30% using better orchestration—not model changes. A visual demo comparing Weft-style pipelines vs map-reduce and full-buffer baselines, showing token usage, cost savings, and % reduction.

Naturalistic fMRI corpus (100 top-tier papers, 2021-2026) + NotebookLM-integrated research synthesis pipeline. 20 expert queries across 7 categories surface SOTA, outstanding questions, and AI applications.

Provider-neutral, methodology-first user-research toolkit for Claude Code. Plan studies, synthesize transcripts (reflexive thematic analysis), run via pluggable backends. Free/local by default; paid is opt-in.

Turn customer interviews into JTBD maps, product opportunities, briefs, and hypotheses with a universal AI agent skill.

Replication package for the paper "Theory Building from Data Strategy Studies: Aggregating Evidence on Model Quantization in Deep Learning Systems".

Versioned, machine-readable research synthesis you operate, not paste — builds an evidence ledger, enforces traceability invariants, and never asserts an insight the data doesn't support.

Turn research corpora into auditable, evidence-graded claim inventories. A Claude skill with archaeology and medical-scientific grading presets.