Paper Reading Zh
MrGeDiao/paper-reading-zh
中文论文深读、总结/TL;DR、工程拆解、按论文实现/复现、比较与证据审计。用户给出论文 PDF、链接、标题、摘要、正文或图表，或明确要读论文时使用。只有论文锚点且无附言时澄清阅读目标；只有阅读意图时问哪篇。已有论文时，“看看这篇”直接深读。不用于仅翻译、解释单个术语、生成 BibTeX、找或下载论文。
A skill your agent uses when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration…
Install Colt Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/COLT-Skills/skills/colt-camera-ready .claude/skills/colt-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 "colt-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-camera-ready into .claude/skills/colt-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-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 brycewang-stanford/Awesome-Journal-Skills --skill colt-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-camera-ready --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/COLT-Skills/skills/colt-camera-ready .agents/skills/colt-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 "colt-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-camera-ready into .agents/skills/colt-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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 brycewang-stanford/Awesome-Journal-Skills --skill colt-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-camera-ready --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/COLT-Skills/skills/colt-camera-ready .cursor/skills/colt-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 "colt-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-camera-ready into .cursor/skills/colt-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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/brycewang-stanford/Awesome-Journal-Skills.git --path COLT-Skills/skills/colt-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 brycewang-stanford/Awesome-Journal-Skills --skill colt-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-camera-ready --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/COLT-Skills/skills/colt-camera-ready .gemini/skills/colt-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 "colt-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-camera-ready into .gemini/skills/colt-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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 brycewang-stanford/Awesome-Journal-Skills colt-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 brycewang-stanford/Awesome-Journal-Skills --skill colt-camera-ready -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/COLT-Skills/skills/colt-camera-ready .github/skills/colt-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 "colt-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-camera-ready into .github/skills/colt-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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 brycewang-stanford/Awesome-Journal-Skills --skill colt-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 brycewang-stanford/Awesome-Journal-Skills colt-camera-ready --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/COLT-Skills/skills/colt-camera-ready .opencode/skills/colt-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 "colt-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-camera-ready into .opencode/skills/colt-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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.
Facts
- Skill name
colt-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 803 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration…
- Converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version
- SKILL.md covers Recent volume anchors…, De-anonymization pass, Consolidating the archival PDF and PMLR metadata and citation…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering de-anonymization
What it does
Colt Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.
Its SKILL.md is about 1.7k 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 Citation management and PDF. It works with LaTeX. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version
- Covering de-anonymization
- Acknowledgements and funding restoration
- Appendix consolidation into the archival PDF
Example prompts
- “/colt-camera-ready”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bibtex).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Colt Camera Ready loads about 1.7k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 803 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 803 words, ~1,655 tokens.
Download SKILL.mdSave it as
.claude/skills/colt-camera-ready/SKILL.md (or your agent's skills folder).- name
- colt-camera-ready
- description
- Use when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.
COLT Camera Ready
Use this after a COLT acceptance. COLT proceedings are published electronically in the Proceedings of Machine Learning Research (PMLR) — verified against the COLT 2026 CFP and PMLR volume pages on 2026-07-08. The camera-ready instructions arrive with the acceptance notification; they, not this file, control exact dates and forms.
Recent volume anchors (verified 2026-07-08)
| Edition | PMLR volume | Location | Volume editors |
|---|---|---|---|
| COLT 2024 (37th) | v247 | Edmonton, Canada | Shipra Agrawal, Aaron Roth |
| COLT 2025 (38th) | v291 | Lyon, France | Nika Haghtalab, Ankur Moitra |
| COLT 2026 (39th) | announced with acceptance (待核实) | San Diego, USA | current program chairs |
Volume editors are the program chairs of that edition; the pairing rotates every year. The COLT 2026 volume number and camera-ready deadline were not yet published at the access date — take both from your acceptance email.
De-anonymization pass
- Remove the template's
anonoption so the author block renders; verify the running head and PDF metadata now carry real names. - Restore acknowledgements, funding lines, and any statements the anonymous version cut. These lines add length — recheck where the body boundary falls if the current instructions still enforce a body limit at camera-ready (待核实 per cycle).
- Rewrite defensive third-person self-citations ("the authors of [12] showed") back into honest first person where it reads better.
- Swap anonymized or omitted repository links for stable public URLs, and test each from a logged-out browser.
Consolidating the archival PDF
At COLT the appendix ships inside the same archival PDF, so the proceedings version is the complete record — there is no separately hosted supplement to lean on later.
- Fold every rebuttal-promised edit into the text now: theorem statements that must carry an explicit constant, assumptions promoted from appendix to body, corrected displays. Keep a private ledger mapping each reviewer request to the diff that answers it, because chairs occasionally spot-check.
- Do not renumber theorems, lemmas, or assumptions relative to the reviewed version unless forced; the review record and any citing preprints refer to the old numbers.
- Reconcile the arXiv version: theory readers will diff arXiv against PMLR, so either update arXiv to match or note the differences in the arXiv comments field.
- Run a final pass on cross-references —
\refbreakage introduced by de-anonymization edits is the most common camera-ready defect in proof-heavy papers.
PMLR metadata and citation hygiene
Title, author order, and abstract you enter in the proceedings forms become the citable record. The PMLR page for your paper generates the canonical citation; make your own BibTeX consistent with it:
@inproceedings{yourkey2026tight,
title = {Tight Rates for a Learning Problem},
author = {Lastname, First and Coauthor, Second},
booktitle = {Proceedings of the 39th Annual Conference on Learning Theory},
series = {Proceedings of Machine Learning Research},
volume = {TBD}, % assigned volume number, e.g. v291 was COLT 2025
pages = {1--30}, % assigned by the volume
year = {2026},
publisher = {PMLR}
}- Check every accent and math symbol in the title as it will render on the PMLR page.
- Author order must match the submission unless the chairs approved a change.
- PMLR is open access with no author-side publication fee; COLT's cost model is conference registration, not an APC.
Show full SKILL.md (348 more words)Show less
Presentation and registration obligations
- Expect that an accepted COLT paper must be presented at the conference by an author; the exact registration requirement, talk versus poster format, and any remote option for the 2026 edition were not verifiable at the access date (待核实) — the acceptance email and the registration page at learningtheory.org control.
- COLT is single-track: your talk or poster is seen by the whole community, so slide preparation deserves more lead time than at parallel-session venues.
- Budget for registration early; COLT 2026 ran June 29 to July 3 in San Diego, and conference-hotel capacity at smaller venues fills quickly.
Preparing the talk alongside the PDF
Camera-ready season doubles as talk season, and at a single-track venue the talk is part of the paper's public record:
- Build the talk from the informal theorem statements and the technique paragraph, not from the formal setup — the room already speaks the field's vocabulary but has not seen your notation.
- One slide of "what was known" with exact prior rates mirrors the paper's known-vs-new ledger and is the single highest-value slide at COLT.
- Rehearse the proof-idea slide until it survives without the appendix: the aim is that a listener could set a student to re-derive the result.
- If the edition uses posters for some papers, the poster's spine is the same three objects: model, theorem, technique — resist the empirical-venue urge to fill space with plots you do not have.
- Announce the open questions from the paper's discussion section; COLT audiences treat posed problems as gifts, and follow-up work cites the talk's source paper.
Common camera-ready defects at COLT
| Defect | Why it happens | Catch it by |
|---|---|---|
| Body overflow after author block returns | Anonymous version used the freed lines | Recompiling with authors before editing anything |
| Theorem numbering drift vs. reviewed version | Appendix restructuring | Diffing the numbered-statement list |
| arXiv/PMLR content divergence | Only one copy updated | A scheduled same-day update of both |
Broken \ref after merging rebuttal edits | Labels deleted with old text | grep-style check for "??" in the compiled log |
| Metadata mismatch (title case, accents) | Forms filled from memory | Copy-pasting from the final PDF |
Output format
[Camera-ready status] Ready / Needs fixes / Blocked
[Reviewer-promise ledger] <request -> diff location>
[De-anonymization checks] <author block / acknowledgements / links / metadata>
[Numbering stability] preserved / documented changes
[Logistics] <forms, registration, presentation owner>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in COLT-Skills/skills/colt-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Colt 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 |
|---|---|---|---|---|---|---|
| Colt Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Paper Reading ZhMrGeDiao/paper-reading-zh | 103 | — | ~1.3k | Automated safety check: Pass | MIT | |
| 01 Paper Reviewagentscope-ai/OpenJudge | 870 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Check Review AlignmentInternScience/DrClaw | 172 | — | ~1.5k | Automated safety check: Pass | None | |
| Bib Parseflonat/flonat-research | 146 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Paper Auditbahayonghang/academic-writing-skills | 498 | — | ~5.1k | Automated safety check: Pass | None |
Similar skills
01 Paper Review
agentscope-ai/OpenJudge
Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline.
Check Review Alignment
InternScience/DrClaw
当用户明确要求"核查/优化综述 {主题}review.tex 的正文引用"或"运行 check-review-alignment"时使用。通过宿主 AI 的语义理解逐条核查引用是否与文献内容吻合，只在发现致命性引用错误时对"包含引用的句子"做最小化改写，并复用 systematic-literature-review 的渲染脚本输出…
Bib Parse
flonat/flonat-research
Extract citations from a PDF and generate a validated .bib file.
Paper Audit
bahayonghang/academic-writing-skills
Reviewer-style audit and submission gate for academic papers in .tex, .typ, or .pdf.
Literature Downloader
Lucaswangzcx/literature-downloader-skill
中文文献检索、筛选、批量采集和合法全文获取助手。用于用户需要查找论文、下载可合法获取的 PDF/HTML/XML 全文、生成关键词和检索式、查询 DOI/PMID、筛选高影响因子或高分区期刊、检查开放获取、做引用链扩展、批量文献候选表、下载日志、去重清单、Zotero/BibTeX 整理，或解决文献难下载问题；禁止绕过付费墙、盗版下载、共享账号或规避版权限制。
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
Aaag Literature Positioning
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
Aaag Rebuttal
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
Aaag Research Design
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
Aaag Review Process
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Related
Works with
Categories
Questions about Colt Camera Ready
What does Colt Camera Ready do?
A skill your agent uses when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration…. Colt Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.
When should I use Colt Camera Ready?
Colt Camera Ready fits situations like: converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version; covering de-anonymization; acknowledgements and funding restoration; appendix consolidation into the archival PDF.
How do I install Colt Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-camera-ready -a claude-code`. Or copy the skill folder (COLT-Skills/skills/colt-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/colt-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Colt Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-camera-ready -a codex`. Or copy the skill folder (COLT-Skills/skills/colt-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/colt-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Colt Camera Ready in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-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/colt-camera-ready, .gemini/skills/colt-camera-ready, .github/skills/colt-camera-ready and .opencode/skills/colt-camera-ready in your project.
What does Colt Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Colt Camera Ready is instructions for the agent only.
Does Colt Camera Ready access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Colt Camera Ready safe to install?
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.
What licence does Colt Camera Ready use?
Colt 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.
How many tokens does Colt Camera Ready use?
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Colt Camera Ready?
Skills that share tags, products or a category with Colt Camera Ready: Paper Reading Zh (MrGeDiao/paper-reading-zh, 103 stars), 01 Paper Review (agentscope-ai/OpenJudge, 870 stars), Check Review Alignment (InternScience/DrClaw, 172 stars) and Bib Parse (flonat/flonat-research, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Colt Camera Ready?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.