Plugins

5 plugins

Research Papers for RAG

Gather and structure scientific papers for RAG ingestion using Semantic Scholar and BGPT.

9 skills · plugin

Grosskanzlei Corporate Ma

Corporate/M&A-Plugin fuer Kanzlei- und Inhouse-Praxis: Deal-Intake, Datenraum, Legal DD, SPA/APA, Kaufpreis, W&I, Regulatory, Signing, Closing, Integration, Board Papers und Spezial-Workflows.

2 skills · plugin

@brycewang-stanford

Twelve CHI-specific skills for human-computer interaction conference strategy, grounded in the CHI 2027 Papers call, review-process pages, SIGCHI accessibility and video guides, and ACM open-access policy.

2 skills · plugin

@brycewang-stanford

Twelve IMC-specific skills for the ACM Internet Measurement Conference, the SIGCOMM-sponsored empirical measurement flagship, grounded in the IMC 2026 call for papers, submission instructions, committees page, SIGCOMM/IMC event pages, the ACM Digital Library, and dblp.

2 skills · plugin

@brycewang-stanford

Twelve ATC-specific skills for the ACM SIGOPS Annual Technical Conference (formerly the USENIX Annual Technical Conference), grounded in the ATC 2026 SIGOPS call for papers, the USENIX ATC '25 research and artifact pages, the USENIX to SIGOPS transition record, and dblp.

2 skills · plugin

Results for “papers”

38 skills

Build and maintain a persistent markdown wiki that an LLM updates on the user's behalf, usually inside an Obsidian vault or git-tracked notes repo. Use when raw sources such as web articles, papers, meeting notes, transcripts, screenshots, or past analyses need to be turned into an interlinked knowledge base with immutable source files, LLM-written wiki pages, `index.md`, `log.md`, schema rules in `AGENTS.md` or `CLAUDE.md`, source summaries, query notes, and recurring lint passes. Triggers on: llm-wiki, personal wiki, obsidian wiki, research vault, knowledge base, source ingest, persistent notes, wiki maintenance, source summaries, query filing.

Pythinker Datasource

Universal data-source assistant. Use this skill when the user wants external structured data such as stocks, financial reports, technical indicators, A-share/HK/US markets, global macroeconomics, Chinese enterprise registry information, arXiv papers, Google Scholar results, Chinese laws/regulations and judicial cases, Wind financial data (intraday/minute quotes, funds, bonds), IMF macro datasets (FX rates, CPI, GDP forecasts), Gildata smart screening, US SEC filings (10-K/10-Q, Form 4, 13F), or S&P Capital IQ fundamentals (top holders, consensus estimates, valuation ratios). This plugin exposes tools via MCP server `plugin-pythinker-datasource_data`; call them in the flow `mcp__plugin-pythinker-datasource_data__get_data_source_desc` → `mcp__plugin-pythinker-datasource_data__call_data_source_tool`.