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Updated 4d ago

by Ar9av

PaperOrchestra

An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.

  • Active — Updated in the last 14 days
  • Multi-agent — Targets three or more agents
Works with
  • Claude
  • Cursor
  • Gemini
View on GitHub (opens in a new tab)

682 GitHub stars (682)

+16 in 20 days

Stars gained per day · daily snapshots since Sep 26
Stars gained per day, Sep 26 to Oct 16: +16 in total; the busiest day was Oct 6 with +3 stars.Sep 27: 0 starsSep 28: 0 starsSep 29: +1 starsSep 30: +2 starsOct 1: 0 starsOct 2: +2 starsOct 3: +1 starsOct 4: +1 starsOct 5: 0 starsOct 6: +3 starsOct 7: 0 starsOct 8: +1 starsOct 9: +1 starsOct 10: +1 starsOct 11: +1 starsOct 12: +1 starsOct 13: 0 starsOct 14: +1 starsOct 15: 0 starsOct 16: 0 stars
Stars gained between daily snapshots
PeriodNew stars
Sep 270
Sep 280
Sep 29+1
Sep 30+2
Oct 10
Oct 2+2
Oct 3+1
Oct 4+1
Oct 50
Oct 6+3
Oct 70
Oct 8+1
Oct 9+1
Oct 10+1
Oct 11+1
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Oct 130
Oct 14+1
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Oct 160
  • 9 skills (9 skills found in its SKILL.md files)
  • 94 forks (94 forks)
  • 4d ago last update (Last updated 4d ago)

Install

Skills CLI

npx skills add Ar9av/PaperOrchestra

Asks which skills and agents to install. Just one: npx skills add Ar9av/PaperOrchestra --skill agent-research-aggregator — add -g for every project.

Claude Code

git clone https://github.com/Ar9av/PaperOrchestracp -r "PaperOrchestra/skills/agent-research-aggregator" ~/.claude/skills/

Copies the agent-research-aggregator skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add Ar9av/PaperOrchestra

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • agent-research-aggregator

    Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent h…

    skills/agent-research-aggregator/SKILL.md on GitHub (opens in a new tab)

  • content-refinement-agent

    Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate concession-threshold guard that blocks acceptance on unresolved critical findings. Mai…

    skills/content-refinement-agent/SKILL.md on GitHub (opens in a new tab)

  • literature-review-agent

    Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Crossref + OpenAlex to flag hallucinated citations, build a BibTeX file, and draft Introduction + Relate…

    skills/literature-review-agent/SKILL.md on GitHub (opens in a new tab)

  • outline-agent

    Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials"…

    skills/outline-agent/SKILL.md on GitHub (opens in a new tab)

  • paper-autoraters

    Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the user asks to "score this paper draft", "evaluate against the benchmark", "compar…

    skills/paper-autoraters/SKILL.md on GitHub (opens in a new tab)

  • paper-orchestra

    Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generat…

    skills/paper-orchestra/SKILL.md on GitHub (opens in a new tab)

  • paper-writing-bench

    Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C. TRIGGER when the user asks to "build a benchmark case from this paper", "reverse-engineer raw materials", or "evaluate my pi…

    skills/paper-writing-bench/SKILL.md on GitHub (opens in a new tab)

  • plotting-agent

    Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER when the orchestrator delegates Step 2 or when the user asks to "generate the f…

    skills/plotting-agent/SKILL.md on GitHub (opens in a new tab)

  • section-writing-agent

    Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRI…

    skills/section-writing-agent/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.