Paper Orchestra
Ar9av/PaperOrchestra
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…
Convert an accepted anonymous-submission LaTeX paper (AAAI/AIES/ACM-style) to camera-ready and implement the accepted reviews.
$ npx skills add flonat/flonat-research --skill camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install flonat/flonat-research camera-ready --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/camera-ready .claude/skills/camera-ready && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "camera-ready" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/camera-ready into .claude/skills/camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-ready", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/flonat/flonat-research/tree/main/skills/camera-readyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add flonat/flonat-research --skill camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install flonat/flonat-research camera-ready --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/camera-ready .agents/skills/camera-ready && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "camera-ready" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/camera-ready into .agents/skills/camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-ready", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add flonat/flonat-research --skill camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install flonat/flonat-research camera-ready --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/camera-ready .cursor/skills/camera-ready && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "camera-ready" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/camera-ready into .cursor/skills/camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-ready", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/flonat/flonat-research.git --path skills/camera-ready--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add flonat/flonat-research --skill camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install flonat/flonat-research camera-ready --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/camera-ready .gemini/skills/camera-ready && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "camera-ready" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/camera-ready into .gemini/skills/camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-ready", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install flonat/flonat-research camera-readyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add flonat/flonat-research --skill camera-ready -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/camera-ready .github/skills/camera-ready && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "camera-ready" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/camera-ready into .github/skills/camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-ready", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add flonat/flonat-research --skill camera-ready -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install flonat/flonat-research camera-ready --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/camera-ready .opencode/skills/camera-ready && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "camera-ready" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/camera-ready into .opencode/skills/camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "camera-ready", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
camera-readyConvert an accepted anonymous-submission LaTeX paper (AAAI/AIES/ACM-style) to camera-ready and implement the accepted reviews.
Camera Ready is an agent skill from flonat/flonat-research. Convert an accepted anonymous-submission LaTeX paper (AAAI/AIES/ACM-style) to camera-ready and implement the accepted reviews. Use when a paper is accepted with no rebuttal and you need to de-anonymize, add copyright, turn on section numbering, implement each reviewer's minor revisions, optionally move proofs to a non-counted appendix, and QA. Not for R&R/revise-and-resubmit (use strategic-revision --external) or for preprints (use preprint).
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Academic paper search and LaTeX. It works with LaTeX. The repository describes itself as: Shareable Claude Code + Codex infrastructure for PhD researchers — skills, agents, hooks, and rules for academic workflows. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit da27600. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGlobGrepBash(mkdir*)Bash(cp*)Bash(ls*)Bash(grep*)Bash(stat*)…and 7 more on the same allowed-tools line.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Camera Ready loads about 2.1k tokens when it runs. Until then it costs about 115 tokens; SKILL.md has 892 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from flonat/flonat-research at commit da27600, republished under its MIT licence (© flonat). 892 words, ~2,070 tokens.
.claude/skills/camera-ready/SKILL.md (or your agent's skills folder).For a paper that has been accepted (no rebuttal stage): produce the camera-ready version and implement the reviewers' (typically minor) revisions. Distinct from strategic-revision --external, which handles R&R (rebuttal, DAG, resubmission strategy).
paper/ symlink target, not any git mirror (overleaf-canonical-source.md). The .tex is a live edit surface — obey reconcile-before-rewriting.md (fresh-read, narrow edits, no replace_all/full-Write, mtime check).continue (phased-work.md) unless --autonomous.multi-system-completeness.md — but if the formal decision letter hasn't landed yet (early prep), hold status changes until the user confirms.paper-{venue}/correspondence/referee-reviews/<YYYY-MM-DD>-<venue>-reviews.md (score table + verbatim text).main.tex/.bib/.pdf → paper-{venue}/backup/submitted-<YYYY-MM-DD>/.scholarly/paperpile); reviewers often mis-spell/mis-date (e.g. "Edelmann 1996" → Suchman & Edelman 1996). Stash verified new entries.[UNVERIFIED] until checked against the CfP/acceptance email.\author{Anonymous Submission} with the real author/affiliation block.\copyrightyear{<proceedings year>}. ACM: set \setcopyright/\acmConference/DOI per the rights email. Never use \nocopyright for AAAI.\setcounter{secnumdepth}{0} → set to 2. This also fixes blank Section~\ref{} references (a common reviewer complaint).bib-rekey (DOI-safe remap + diff-verified \cite rewrite).\appendix after references; leave each result's statement + a 3–5 sentence proof sketch + appendix pointer in the body.latexmk clean (exit 0); 0 undefined refs/citations; no large overfull boxes; no placeholders/TODOs.pdftotext + form-feed page count, or per-label pages from .aux); confirm body ≤ limit (appendix/refs exempt per Phase 3).pdftoppm) — de-anon header + copyright slug, new tables/figures, appendix.proofread scoped to the new prose only.uv run python .scripts/check_token_conservation.py --source backup/<submitted>.tex --revision <current>.tex per edited file: every advisory row (changed number, dropped/added citation) must map to a Phase-0 action-table row or a Phase-3 appendix move. Spot-check reworded claims against the claim-strength ladder (docs/reference/claim-strength-ladder.md) — no silent strength moves between the reviewed version and camera-ready.uv run python .scripts/check_stat_forensics.py <main>.tex: recomputed p-values, df-vs-N, t-vs-descriptives, GRIM. Any HARD finding gets resolved or explained before upload — reviewers approved the numbers as submitted; the camera-ready must not introduce (or ship) an arithmetic impossibility.Report what remains for the human: acknowledgments (now un-anonymized — offer a funding stub), signed copyright/rights form, reproducibility checklist, and the vault/atlas status update to Accepted (per the Operating Rules caveat).
When the user confirms the camera-ready was uploaded: append the history: rows to the vault submission entry (event: decision, outcome: accept if not already recorded, then event: camera-ready with the archive files: pointer) and archive the as-submitted files per rules/submission-file-archive.md (human-supplied only).
replace_all or full-Write the live .tex. Narrow edits; for bulk citekey work defer to bib-rekey's diff-verified flow.phased-work.md.backup/.| Skill | Relationship |
|---|---|
bib-rekey | Phase 2 bibliography rekey + \cite remap |
strategic-revision --external | The R&R counterpart (rebuttal + DAG) — use that, not this, for revise-and-resubmit |
proofread, latex, bib-validate | QA components composed in Phases 2 & 5 |
preprint | For an arXiv/working-paper variant instead of a venue camera-ready |
© flonat, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/camera-ready of flonat/flonat-research.
Open the folder on GitHubat commit da27600
Camera Ready next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Camera Ready this skillflonat/flonat-research | 145 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Paper OrchestraAr9av/PaperOrchestra | 677 | 1 repos | ~3.5k | Automated safety check: Pass | Custom licence | |
| Section Writing AgentAr9av/PaperOrchestra | 677 | 1 repos | ~3.3k | Automated safety check: Pass | Custom licence | |
| SearchMuuuun/luxas | 1.2k | — | ~2.3k | Automated safety check: Warn | MIT | |
| Oleafly Pre SubmissionOleafly/Oleafly | 206 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Oleafly Review ManuscriptOleafly/Oleafly | 206 | — | ~2.3k | Automated safety check: Pass | MIT |
Ar9av/PaperOrchestra
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…
Ar9av/PaperOrchestra
Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Muuuun/luxas
Unified academic paper search, citation chains, paper download (arXiv LaTeX/PDF, Sci-Hub), figure extraction from papers, LaTeX source reading, BibTeX fetching, web search, and browser automation…
Oleafly/Oleafly
Run a pre-flight pass over the project before uploading to arXiv or a venue, and write a pass or fail checklist.
Oleafly/Oleafly
Run a referee-grade review of the manuscript in the open project without changing a single manuscript file.
brycewang-stanford/Auto-Empirical-Research-Skills
Generate a complete academic literature survey from scratch using multi-agent orchestration.
flonat/flonat-research
Create a large-format academic poster in LaTeX using beamerposter, tikzposter, or baposter.
flonat/flonat-research
Create, revise, and evaluate reusable AI workflow skills, including trigger-quality tests.
flonat/flonat-research
Create, read, edit, or convert Microsoft Word documents while preserving professional document structure.
flonat/flonat-research
Read, create, combine, split, rotate, OCR, watermark, secure, or extract content from PDF files.
flonat/flonat-research
Create or migrate project-level agents, repeatable project workflows, and planning state from one client-neutral contract, then render repository-scoped adapters for both Claude Code and Codex.
flonat/flonat-research
Deliver a fast pre-commit safety scan: file size, anonymity (author / affiliation strings in tex/bib), hardcoded secrets, and invisible-Unicode carriers.
Works with
Categories
Convert an accepted anonymous-submission LaTeX paper (AAAI/AIES/ACM-style) to camera-ready and implement the accepted reviews. Camera Ready is an agent skill from flonat/flonat-research. Convert an accepted anonymous-submission LaTeX paper (AAAI/AIES/ACM-style) to camera-ready and implement the accepted reviews.
Camera Ready fits situations like: A paper is accepted with no rebuttal and you need to de-anonymize; turn on section numbering; implement each reviewers minor revisions; optionally move proofs to a non-counted appendix.
Run `npx skills add flonat/flonat-research --skill camera-ready -a claude-code`. Or copy the skill folder (skills/camera-ready in flonat/flonat-research) into .claude/skills/camera-ready in your project. Claude Code loads it when a task matches its description.
Run `npx skills add flonat/flonat-research --skill camera-ready -a codex`. Or copy the skill folder (skills/camera-ready in flonat/flonat-research) into .agents/skills/camera-ready in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add flonat/flonat-research --skill camera-ready -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/camera-ready, .gemini/skills/camera-ready, .github/skills/camera-ready and .opencode/skills/camera-ready in your project.
Going by SKILL.md and its folder, Camera Ready needs the command-line tools its instructions call (uv). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash(mkdir*), Bash(cp*), Bash(ls*), Bash(grep*), Bash(stat*), Bash(latexmk*), Bash(pdftotext*), Bash(pdftoppm*), Bash(mdls*), Bash(uv run python*), AskUserQuestion, Task.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Camera Ready is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Camera Ready: Paper Orchestra (Ar9av/PaperOrchestra, 677 stars), Section Writing Agent (Ar9av/PaperOrchestra, 677 stars), Search (Muuuun/luxas, 1.2k stars) and Oleafly Pre Submission (Oleafly/Oleafly, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
flonat (a GitHub user) maintains it in flonat/flonat-research, which has 145 GitHub stars. The repository holds 83 skills in this directory. The repository was last updated on September 29, 2026.
Source: flonat/flonat-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.