Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when preparing an accepted ACM RecSys paper for camera-ready, covering ACM two-column de-anonymization and reflow, the ACM Digital Library rights/copyright form, metadata and…
Install Recsys Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-camera-ready .claude/skills/recsys-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 "recsys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-camera-ready into .claude/skills/recsys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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/RecSys-Skills/skills/recsys-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 recsys-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-camera-ready .agents/skills/recsys-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 "recsys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-camera-ready into .agents/skills/recsys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-camera-ready .cursor/skills/recsys-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 "recsys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-camera-ready into .cursor/skills/recsys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 RecSys-Skills/skills/recsys-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 recsys-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-camera-ready .gemini/skills/recsys-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 "recsys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-camera-ready into .gemini/skills/recsys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-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 recsys-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/RecSys-Skills/skills/recsys-camera-ready .github/skills/recsys-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 "recsys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-camera-ready into .github/skills/recsys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-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 recsys-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/RecSys-Skills/skills/recsys-camera-ready .opencode/skills/recsys-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 "recsys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-camera-ready into .opencode/skills/recsys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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
recsys-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~947 tokens
- SKILL.md length
- 418 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing an accepted ACM RecSys paper for camera-ready, covering ACM two-column de-anonymization and reflow, the ACM Digital Library rights/copyright form, metadata and…
- Preparing an accepted ACM RecSys paper for camera-ready
- SKILL.md covers Camera-ready audit, ACM two-column reflow, De-anonymization sweep and Worked example: landing a…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering ACM two-column de-anonymization and reflow
What it does
Recsys Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACM RecSys paper for camera-ready, covering ACM two-column de-anonymization and reflow, the ACM Digital Library rights/copyright form, metadata and DOI, integrating rebuttal-promised fixes without overreach, releasing the previously-anonymous code/data repository publicly, and registration and presentation obligations.
Its SKILL.md is about 950 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. 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
- Preparing an accepted ACM RecSys paper for camera-ready
- Covering ACM two-column de-anonymization and reflow
- The ACM Digital Library rights/copyright form
- Metadata and DOI
Example prompts
- “/recsys-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.
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
Recsys Camera Ready loads about 947 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 418 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). 418 words, ~947 tokens.
Download SKILL.mdSave it as
.claude/skills/recsys-camera-ready/SKILL.md (or your agent's skills folder).- name
- recsys-camera-ready
- description
- Use when preparing an accepted ACM RecSys paper for camera-ready, covering ACM two-column de-anonymization and reflow, the ACM Digital Library rights/copyright form, metadata and DOI, integrating rebuttal-promised fixes without overreach, releasing the previously-anonymous code/data repository publicly, and registration and presentation obligations.
RecSys Camera Ready
Use this after a RecSys acceptance. Reopen the current camera-ready instructions, the ACM rights form, the registration page, and the decision email before advising authors. For 2026 the Reproducibility and Industry tracks listed a camera-ready deadline of July 27; the Main Track date was not extractable through the gateway (待核实) — confirm against the decision email.
Camera-ready audit
- Convert the anonymous submission to the public proceedings version: names, affiliations, acknowledgements, funding, platform names where allowed, and the public repository link.
- Apply the current final-page limit and the ACM two-column template; complete the ACM rights and copyright form and confirm title/abstract metadata and author order for the DOI.
- Integrate the fixes you promised in the rebuttal without changing the accepted contribution beyond normal clarification.
- Release the previously-anonymous artifact: replace the anonymized repository mirror with a public, licensed, citable archive, and test every link from a logged-out browser.
- Confirm registration and presentation obligations — RecSys expects at least one author to register and present; verify the current policy on in-person versus remote.
ACM two-column reflow
- Flipping the template from anonymous to camera-ready mode changes spacing; recheck every page break, figure placement, and the width of every ranking table after the flip.
- Wide offline/online comparison tables and multi-panel figures often need full-column or full-width spans; verify nothing is clipped at a column boundary.
- Material that fit the anonymous body can overflow once the author block, acknowledgements, and funding lines return; plan the trim before deadline night.
- Keep table, figure, and section numbering stable so the reviews, rebuttal, and meta-review remain traceable to the final text.
Show full SKILL.md (155 more words)Show less
De-anonymization sweep
| Item stripped for review | Camera-ready action |
|---|---|
| Author block, affiliations | Restore in ACM template order |
| Acknowledgements, funding | Reinstate; confirm grant numbers |
| Platform / dataset provenance | Restore only what policy and data agreements allow |
| Anonymous repository mirror | Replace with the public, licensed, DOI-able archive |
| Third-person self-citations | Rewrite to first person where it improves clarity |
Worked example: landing a rebuttal promise
The reviews accepted the paper on condition that the equal-budget tuning protocol move from the appendix into the main text. Camera-ready move: add two sentences to the experimental setup naming the shared grid and budget, keep the full grid in the appendix, and add one line to the abstract that the gain is over tuned baselines — without introducing any number the reviewers did not see.
Hedged logistics
- Registration pricing, ACM rights-form mechanics, and the exact camera-ready date change every cycle; confirm against the decision email and current proceedings instructions rather than a prior year.
Output format
[Camera-ready status] Ready / Needs fixes / Blocked
[Final package] <PDF / source / bib / ACM rights form / metadata / public artifact>
[Policy checks] <page limit / authors / registration / presentation / artifact release>
[Rebuttal-change map] <promised fix -> final edit>
[Remaining owner] <person -> task>© 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 RecSys-Skills/skills/recsys-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Recsys 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 |
|---|---|---|---|---|---|---|
| Recsys Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~947 | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
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Related
Categories
Questions about Recsys Camera Ready
What does Recsys Camera Ready do?
A skill your agent uses when preparing an accepted ACM RecSys paper for camera-ready, covering ACM two-column de-anonymization and reflow, the ACM Digital Library rights/copyright form, metadata and…. Recsys Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACM RecSys paper for camera-ready, covering ACM two-column de-anonymization and reflow, the ACM Digital Library rights/copyright form, metadata and DOI, integrating rebuttal-promised fixes without overreach, releasing the previously-anonymous code/data repository publicly, and registration and presentation obligations.
When should I use Recsys Camera Ready?
Recsys Camera Ready fits situations like: preparing an accepted ACM RecSys paper for camera-ready; covering ACM two-column de-anonymization and reflow; the ACM Digital Library rights/copyright form; metadata and DOI.
How do I install Recsys Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-camera-ready -a claude-code`. Or copy the skill folder (RecSys-Skills/skills/recsys-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/recsys-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Recsys Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-camera-ready -a codex`. Or copy the skill folder (RecSys-Skills/skills/recsys-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/recsys-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Recsys 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 recsys-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/recsys-camera-ready, .gemini/skills/recsys-camera-ready, .github/skills/recsys-camera-ready and .opencode/skills/recsys-camera-ready in your project.
What does Recsys Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Recsys Camera Ready is instructions for the agent only.
Does Recsys 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 Recsys 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 Recsys Camera Ready use?
Recsys 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 Recsys Camera Ready use?
About 947 tokens (SKILL.md is roughly 3.8k 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 Recsys Camera Ready?
Skills that share tags, products or a category with Recsys Camera Ready: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Recsys Camera Ready?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.