This is the top-level orchestrator for building an entire research paper from scratch. It walks you through all 11 phases (literature search through final PDF compilation), manages dependencies between steps, and saves checkpoints so you can resume if something breaks. The assembly checker script scans your paper directory to figure out what's done and what's missing. It's borrowed heavily from AI-Scientist's sequential pipeline but adds AgentLaboratory-style state propagation between phases. The main value is enforcing the dependency graph so you don't accidentally write results sections before running experiments, and making sure every number in your paper traces back to actual logs. Honestly most useful if you're doing this kind of paper generation repeatedly and want guardrails.

skills.sh installs
1.6K
GitHub stars
459
last updated
Aug 21, 2026

Install

$ npx -y skills add lingzhi227/agent-research-skills --skill paper-assembly --agent claude-code

Installs into .claude/skills of the current project.

Files

Paper Assembly

Orchestrate the entire paper pipeline end-to-end with state management and checkpointing.

Input

  • $0 — Paper project directory or paper plan

References

  • Orchestration patterns and state management: ~/.claude/skills/paper-assembly/references/orchestration-patterns.md

Scripts

Check pipeline completeness

python ~/.claude/skills/paper-assembly/scripts/assembly_checker.py --dir paper/ --output checkpoint.json
python ~/.claude/skills/paper-assembly/scripts/assembly_checker.py --dir paper/ --verbose

Scans paper directory, checks 9 pipeline phases, reports missing artifacts, suggests next steps.

Workflow

Step 1: Assess Current State

  1. Scan the paper directory for existing artifacts
  2. Identify which phases are complete vs pending
  3. Build a dependency graph of remaining work

Step 2: Execute Pipeline Phases

Run phases in dependency order:

Sponsors

Details

Repository
github.com/lingzhi227/agent-research-skills
Categories
DevOps & CI/CD, Git & Pull Requests, Documentation, Code Review & Quality, AI & Agent Building, Data Science & ML, Productivity & Planning, Automation & Workflows, Sales & Marketing
First seen
Jun 3, 2026

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