skills/research-plan/SKILL.md
# Research Plan Summary This document outlines a four-part implementation workflow for research projects. Here are the key components: ## Core Process The research plan requires completing a "Novix Plan Agent" mechanism that transforms survey findings into actionable implementation steps. The workflow mandates: "Don't ask permission. Just do it." ## Four Required Sections 1. **Dataset Plan** — Specifies data source, preprocessing steps, and DataLoader configuration 2. **Model Plan** — Detai
npx skillsauth add lamm-mit/scienceclaw skills/research-planInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This document outlines a four-part implementation workflow for research projects. Here are the key components:
The research plan requires completing a "Novix Plan Agent" mechanism that transforms survey findings into actionable implementation steps. The workflow mandates: "Don't ask permission. Just do it."
task.json, survey_res.md, and repository analysissurvey_res.md halts execution with message: "需要先运行 /research-survey 完成深度分析"The self-check ensures: components map to formulas, reference code is documented, datasets have acquisition methods, loss functions have mathematical definitions, and evaluation metrics are clearly specified.
tools
Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
development
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
testing
Generate a structured scientific PDF report from a JSON description. Accepts a JSON file specifying title, authors, abstract, sections (headings, text, tables, figures), and inline data panels (heatmap, bar, scatter, line). Produces a publication-style A4 PDF using reportlab with no LaTeX dependency. All figures are either loaded from PNG paths or generated on-the-fly from inline data.
development
Execute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available.