Plotting Agent

Plotting Agent is an AI Engineering skill for Claude Code, published by Ar9av in PaperOrchestra.

644 stars91 forkson Ar9av/PaperOrchestraAdded 2026/08/24+1% in starsRepository updated 2026/08/09

agentic-aiai-researchanthropicantigravityarxivautomated-paper-writingclaude-codeclaude-skillscoding-agentscursorlatexliterature-reviewllm-agentsmulti-agentpaper-orchestrapaperorchestraresearch-papersemantic-scholarskill-pack

Install in seconds

Install Plotting Agent

Copy Plotting Agent into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Ar9av/PaperOrchestra/tree/main/skills/plotting-agent ~/.claude/skills/plotting-agent

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Ar9av/PaperOrchestra.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/plotting-agent/SKILL.md in Ar9av/PaperOrchestra
Installs to: ~/.claude/skills/plotting-agent
Collection: One of 9 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Plotting Agent does

Plotting Agent renders figures from outline.json using experimental_log.md and idea.md, then writes captions for each figure. It is used when the orchestrator delegates Step 2 or when a user asks to generate paper plots or diagrams.

Plotting Agent is cataloged under AI Engineering on DirSkills. Plotting Agent comes from a repository tagged agentic-ai, ai-research, anthropic, antigravity and arxiv.

Documentation

README

Excerpt

Plotting Agent (Step 2)

Faithful implementation of the Plotting Agent from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §4 Step 2 and App. F.1 p.45).

Cost: ~20–30 LLM calls. The paper uses PaperBanana (Zhu et al., 2026) as the default backbone with a closed-loop VLM-critique refinement. This skill expresses that loop in host-agent terms: you (the host agent) generate matplotlib code with your own LLM, render via your Bash/Python tool, optionally critique the rendered PNG with your vision model, redraw, and finally caption.

Inputs

workspace/outline.json — specifically the plotting_plan array
workspace/inputs/idea.md and workspace/inputs/experimental_log.md — the source data
workspace/inputs/figures/ — optional pre-existing figures (PlotOn mode)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Plotting Agent

What else does Ar9av publish alongside Plotting Agent?
Plotting Agent is one of 9 skills that DirSkills catalogs from Ar9av/PaperOrchestra, the repository it ships in. Its siblings there include Agent Research Aggregator, Content Refinement Agent and Literature Review Agent. Each one is a separate skill with its own page in this directory, installs the same way Plotting Agent does, and is maintained by Ar9av in that same repository. The rest of the collection is listed on the Ar9av/PaperOrchestra page.
How does Plotting Agent compare to other AI Engineering skills?
Plotting Agent ranks #1867 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Plotting Agent against them. Open each page to compare what they document and how they install.