By WenyuChiou
Programmatically manage Zotero libraries with full CRUD operations on items, notes, tags, collections, and PDF attachments. Routes reads through the local Zotero API and writes through the Web API for reliable synchronization.
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npx claudepluginhub wenyuchiou/ai-research-skills --plugin zotero-skillsHand token-heavy mechanical work (batch edits, scaffolding, refactors, test generation, plotting scripts) from Claude to Codex CLI.
Hand long-context reading, bilingual rewrites, second-opinion review, and Traditional Chinese / CJK output from Claude to Gemini CLI.
11 research-hub skills: literature triage matrix, context compression, project orientation, design dialog, multi-AI routing, NotebookLM brief verification, paper-memory builder, paper summarizer, Zotero curator, the gap-to-topic decision dossier, and the research-hub orchestrator. Auto-discovered from skills/<name>/SKILL.md.
Manuscript revision, claim-evidence audit, banned-word / humanize pass, figure-text consistency, journal-format check, reviewer response.
6 skills for context-safe multi-agent collaboration: task-splitter, context-budget, output-reconciler, debate, shared-memory, and acceptance-gate. Composes with codex-delegate + gemini-delegate via bounded .ai task packets, .coord context policy, and result.json contracts.
11 research-hub skills: literature triage matrix, context compression, project orientation, design dialog, multi-AI routing, NotebookLM brief verification, paper-memory builder, paper summarizer, Zotero curator, the gap-to-topic decision dossier, and the research-hub orchestrator. Auto-discovered from skills/<name>/SKILL.md.
Import Zotero literature into Obsidian, optionally parse PDFs with MinerU, and preserve stable literature notes.
Semi-automated research assistant for academic research and software development, with skills for literature review, experiments, analysis, writing, and project knowledge management
Annotated research paper collection management — retrieve, read, extract, cross-reference scientific papers
A research infrastructure for AI agents. Search, read, and analyze papers from your local knowledge base while coding. Includes arXiv discovery, layered reading, ingestion, topic modeling, citation graphs, insights analytics, Office document inspection, scientific tool docs, and academic writing workflows. Requires Python 3.10+ and pip install.
LLM-maintained knowledge base skill — structured wiki with Obsidian, milestone-based source clustering, proactive write-back, and autonomous lint