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research-planning

面向研究项目启动阶段，根据研究主题或想法生成方法概述、论文分节计划、按依赖排序的任务列表、实验与评估设计，并提示风险与歧义；依赖本地规划模板与输出模板，未提供文献检索、实验执行或完整论文撰写能力。

lingzhi227
热度 5.48
最近更新 2026-10-20 17:30:46
分类：知识依赖：内部调用大模型 / 读写文件应用场景：研究 / 任务管理 / 工作流 / 报告撰写

安装技能

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执行命令安装此 skill： npx secure-skills-cli add lingzhi227/agent-research-skills/research-planning
Metadata
name
research-planning
description
Design research plans and paper architectures. Given a research topic or idea, generate structured plans with methodology outlines, paper structure, dependency-ordered task lists, UML diagrams, and experiment designs. Use when starting a new research project or paper.
argument-hint
["topic-or-idea"]

Research Planning

Create comprehensive research plans and paper architectures from a research topic or idea.

Input

  • $0 — Research topic, idea description, or paper to reproduce

References

  • Planning prompts from Paper2Code, AI-Researcher, AgentLaboratory: ~/.claude/skills/research-planning/references/planning-prompts.md
  • Output schemas and templates: ~/.claude/skills/research-planning/references/output-schemas.md

Workflow

Step 1: Understand the Research Context

  • Read any provided papers, code, or references
  • Identify the core research question and its significance
  • Assess available resources (datasets, compute, existing code)

Step 2: Generate Research Plan

Use the 4-stage planning approach (adapted from Paper2Code):

  1. Overall Plan — Strategic overview: methodology, key experiments, evaluation metrics
  2. Architecture Design — File structure, system design, Mermaid class/sequence diagrams
  3. Logic Design — Task breakdown with dependencies, required packages, shared knowledge
  4. Configuration — Extract or specify hyperparameters, training details, config.yaml

Step 3: Structure the Paper

Design the paper structure with section-by-section plan:

  • Abstract, Introduction, Background, Related Work, Methods, Experiments, Results, Discussion/Conclusion
  • For each section: key points to cover, required figures/tables, target word count

Step 4: Create Task Dependency Graph

  • Order tasks by dependency (data → model → training → evaluation → writing)
  • Identify parallelizable tasks
  • Flag risks and potential failure modes

Output Format

{
  "research_question": "...",
  "methodology": "...",
  "paper_structure": {
    "sections": ["Abstract", "Introduction", ...],
    "section_plans": { "Introduction": "..." }
  },
  "task_list": [
    {"task": "...", "depends_on": [], "priority": 1}
  ],
  "baselines": ["..."],
  "datasets": ["..."],
  "evaluation_metrics": ["..."],
  "risks": ["..."]
}

Rules

  • Each plan component must be detailed and actionable
  • Include specific implementation references when available
  • Ensure all components work together coherently
  • Always include a testing/evaluation plan
  • Flag ambiguities explicitly rather than making assumptions

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