Research Innovation Explorer
Build literature-grounded research-question candidate landscapes by collecting papers, generating A+B matrices, and dynamically reviewing combinations with traceable evidence, uncertainty, and next checks. Use when an AI agent needs to explore a field, screen research questions, compare paper combinations, inspect prior art, or prepare a provisional shortlist for researcher review.
Install
npx skills add foryourhealth111-pixel/research-innovation-explorer --skill research-innovation-explorergit clone --depth 1 https://github.com/foryourhealth111-pixel/research-innovation-explorer.git /tmp/research-innovation-explorer
mkdir -p ~/.claude/skills
cp -r /tmp/research-innovation-explorer/. ~/.claude/skills/research-innovation-explorerPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Research Innovation Explorer ## Purpose Help a researcher decide which literature-grounded questions deserve more attention. Search broadly, structure a paper pool, generate an A+B matrix, and review selected candidates against source evidence. Stop the default workflow at a provisional candidate landscape. Do not present matrix rankings as novelty, feasibility, publishability, or expected research success. Expand a researcher-selected candidate into theory framing, an experiment plan, or a publication-oriented report only when requested. Use this skill as a host-neutral contract. Adapt search and browsing actions to the tools available in the current environment. ## Default Workflow 1. Clarify the topic, resource constraints, available data or code, and the desired breadth of the candidate landscape. 2. Read `references/search-playbook.md`, create a working `search-log.csv`, and generate a starter query pack with `scripts/build_search_queries.py`. 3. Build a 20-50 paper pool and normalize each paper into tasks, mechanisms, strengths, weaknesses, benchmarks, and implementation signals. Read `references/workflow.md` for intake rules. 4. Run `scripts/build_idea_matrix.py` to generate `idea-matrix.csv`. The script rejects duplicate paper identifiers and orders papers by identifier so each pair has stable A/B roles.
Details
- Skill name
research-innovation-explorer- License
- MIT
- Repo updated
- 14 August 2026
FAQ
What does the Research Innovation Explorer skill do?
Build literature-grounded research-question candidate landscapes by collecting papers, generating A+B matrices, and dynamically reviewing combinations with traceable evidence, uncertainty, and next checks. Use when an AI agent needs to explore a field, screen research questions, compare paper combinations, inspect prior art, or prepare a provisional shortlist for researcher review.
How do I install the Research Innovation Explorer skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add foryourhealth111-pixel/research-innovation-explorer --skill research-innovation-explorer. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Research Innovation Explorer popular?
It lives in foryourhealth111-pixel/research-innovation-explorer, which has 86 GitHub stars and 7 forks.
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