Research Planning
Turns research ideas into structured, actionable plans with methodology outlines, paper architecture, and dependency-ordered task lists. You give it a topic or paper to reproduce, and it walks through understanding context, generating a four-stage plan (overall strategy, architecture design with UML diagrams, logic breakdown, configuration), structuring the paper section by section, and mapping out tasks with dependencies. Outputs JSON with everything from research questions to datasets to risks. Built on planning approaches from Paper2Code and similar tools. Best for that early phase when you know what you want to research but need to turn the fuzzy idea into concrete next steps. Beats staring at a blank page trying to figure out where to start.
- skills.sh installs
- 1.8K
- GitHub stars
- 459
- last updated
- Aug 21, 2026
Install
$ npx -y skills add lingzhi227/agent-research-skills --skill research-planning --agent claude-codeInstalls into .claude/skills of the current project.
Files
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):
- Overall Plan — Strategic overview: methodology, key experiments, evaluation metrics
- Architecture Design — File structure, system design, Mermaid class/sequence diagrams
- Logic Design — Task breakdown with dependencies, required packages, shared knowledge
- Configuration — Extract or specify hyperparameters, training details, config.yaml
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- Repository
- github.com/lingzhi227/agent-research-skills
- Categories
- AI & Agent Building, Data Science & ML, Productivity & Planning, Design & UI/UX
- First seen
- Jun 3, 2026
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