
Paper Assembly
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-codeInstalls 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
- Scan the paper directory for existing artifacts
- Identify which phases are complete vs pending
- 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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