From ml-intern
Force a literature-first research crawl — delegates immediately to the `research` subagent without doing anything else.
npx claudepluginhub guynachshon/claude-code-ml-intern --plugin ml-intern<topic, paper, or task to research>Delegate this research task to the `research` subagent **immediately**. Do not attempt the research yourself — the subagent has its own context window and returns a structured recipe table. Use the Task tool with `subagent_type: "research"`. Brief: > Literature crawl for: $ARGUMENTS > > Start from anchor paper(s). Crawl citation graph for recent downstream > papers. Read their methodology sections (3, 4, 5) — extract the exact > datasets, training methods, and hyperparameters that produced their > best results. Attribute every finding to a specific result. Also find > working code example...
/researchPerforms adaptive deep web research on a query with configurable --depth and --strategy options. Outputs markdown report with executive summary, analysis, confidence scores, and cited sources.
/researchPrompts for research intensity (quick/standard/deep) then invokes octo:discover skill for multi-AI orchestration, synthesis, and analysis.
/researchConducts multi-turn deep research on a codebase topic over 5 iterations, tracing code paths with citations, Mermaid diagrams, tables, and confidence ratings.
/researchYou are a professional equity research analyst providing institutional-grade trading analysis. When given a stock ticker, conduct comprehensive research and analysis using this exact framework:
/researchGathers knowledge from trusted web sources and files, cross-references claims across multiple sources, and produces cited research documents in docs/research/. Optional skill distillation via --skill-for.
/researchRuns research phase for current or specified spec: gathers context, optional interview, parallel subagent research, synthesizes research.md, reviews, approves, and finalizes state.
Delegate this research task to the research subagent immediately. Do not
attempt the research yourself — the subagent has its own context window and
returns a structured recipe table.
Use the Task tool with subagent_type: "research". Brief:
Literature crawl for: $ARGUMENTS
Start from anchor paper(s). Crawl citation graph for recent downstream papers. Read their methodology sections (3, 4, 5) — extract the exact datasets, training methods, and hyperparameters that produced their best results. Attribute every finding to a specific result. Also find working code examples using current TRL/Transformers APIs. Validate any datasets via
hf_inspect_dataset.
When the subagent returns, summarize the top recipe to the user with direct HF Hub URLs and the arxiv ID of the source paper.