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 MobiSys paper for the ACM Digital Library camera-ready — de-anonymization, the ACM double-column final layout and 12-page budget, ACM rights and…
Install Mobisys Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobisys-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobisys-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/MobiSys-Skills/skills/mobisys-camera-ready .claude/skills/mobisys-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 "mobisys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiSys-Skills/skills/mobisys-camera-ready into .claude/skills/mobisys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobisys-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/MobiSys-Skills/skills/mobisys-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 mobisys-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobisys-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/MobiSys-Skills/skills/mobisys-camera-ready .agents/skills/mobisys-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 "mobisys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiSys-Skills/skills/mobisys-camera-ready into .agents/skills/mobisys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobisys-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 mobisys-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobisys-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/MobiSys-Skills/skills/mobisys-camera-ready .cursor/skills/mobisys-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 "mobisys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiSys-Skills/skills/mobisys-camera-ready into .cursor/skills/mobisys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobisys-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 MobiSys-Skills/skills/mobisys-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 mobisys-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mobisys-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/MobiSys-Skills/skills/mobisys-camera-ready .gemini/skills/mobisys-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 "mobisys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiSys-Skills/skills/mobisys-camera-ready into .gemini/skills/mobisys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobisys-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 mobisys-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 mobisys-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/MobiSys-Skills/skills/mobisys-camera-ready .github/skills/mobisys-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 "mobisys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiSys-Skills/skills/mobisys-camera-ready into .github/skills/mobisys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobisys-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 mobisys-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 mobisys-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/MobiSys-Skills/skills/mobisys-camera-ready .opencode/skills/mobisys-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 "mobisys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/MobiSys-Skills/skills/mobisys-camera-ready into .opencode/skills/mobisys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mobisys-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
mobisys-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 411 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 MobiSys paper for the ACM Digital Library camera-ready — de-anonymization, the ACM double-column final layout and 12-page budget, ACM rights and…
- Preparing an accepted MobiSys paper for the ACM Digital Library camera-ready — de-anonymization
- SKILL.md covers Camera-ready audit, What changes between the…, De-anonymization sweep and ACM double-column reflow, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- The ACM double-column final layout and 12-page budget
What it does
Mobisys Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted MobiSys paper for the ACM Digital Library camera-ready — de-anonymization, the ACM double-column final layout and 12-page budget, ACM rights and CCS metadata, delivering any results promised in the rebuttal, coordinating the three artifact badges, registration, and the June in-person talk and demo in Cambridge.
Its SKILL.md is about 1.1k 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. 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 MobiSys paper for the ACM Digital Library camera-ready — de-anonymization
- The ACM double-column final layout and 12-page budget
- ACM rights and CCS metadata
- Delivering any results promised in the rebuttal
Example prompts
- “/mobisys-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
Mobisys Camera Ready loads about 1.1k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 411 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). 411 words, ~1,052 tokens.
Download SKILL.mdSave it as
.claude/skills/mobisys-camera-ready/SKILL.md (or your agent's skills folder).- name
- mobisys-camera-ready
- description
- Use when preparing an accepted MobiSys paper for the ACM Digital Library camera-ready — de-anonymization, the ACM double-column final layout and 12-page budget, ACM rights and CCS metadata, delivering any results promised in the rebuttal, coordinating the three artifact badges, registration, and the June in-person talk and demo in Cambridge.
MobiSys Camera Ready
Use this after acceptance. Reopen the current camera-ready instructions, the ACM rights form, the registration page, and the decision email before advising authors — dates and forms are cycle-specific.
Camera-ready audit
- Convert the anonymous submission to the public ACM version: author names, affiliations, acknowledgements, funding, and de-anonymized code/data links.
- Apply the current ACM double-column template and page budget. MobiSys 2026 kept a 12-page body including figures and tables; references and appendices sit outside the cap — confirm the final-version rule against the current instructions.
- Deliver every result promised in the rebuttal; a promised camera-ready experiment that never appears is a credibility failure the AC may notice.
- Complete ACM rights, the CCS concepts/keywords metadata, title/abstract/author-order metadata, and the bibliography.
- Coordinate the three artifact badges so passing badges are printed on the paper and recorded
in the ACM DL (
mobisys-artifact-evaluation). - Confirm registration and the June in-person obligation; MobiSys expects at least one author to present.
What changes between the reviewed and final version
| Element | Reviewed (anonymous) | Camera-ready (ACM) |
|---|---|---|
| Author block | Stripped | Restored with affiliations |
| Repository links | Anonymized placeholder | Public, licensed, archival |
| Screenshots / demo media | Blurred / de-identified | Restored, subject to vendor NDA |
| Rebuttal promises | Pending | Delivered in body/appendix |
| Metadata | Minimal | ACM rights + CCS concepts |
De-anonymization sweep
- Restore the author block, acknowledgements, grants, and any contribution statements the anonymous version stripped.
- Replace anonymized repository placeholders with the public, licensed, archival artifact and test every link from a logged-out browser.
- Un-blur screenshots and demo media, and restore device/vendor names where they were hidden for review — while respecting any vendor NDA on hardware details.
Show full SKILL.md (152 more words)Show less
ACM double-column reflow
- Switching the template from anonymous to final mode changes spacing; recheck every page break, figure placement, and wide device-table width after the flip.
- Adding the author block, acknowledgements, and funding lines can push the body over budget; confirm the 12 pages still hold rather than assuming.
- Keep figure, table, and section numbering identical to the reviewed version so the review and rebuttal record remain traceable to the final text.
Worked example: integrating a promised result
The rebuttal promised a fifth-device measurement to answer a generalization concern. Camera-ready move: add the device to the multi-device table and one sentence of interpretation, regenerate the figure from the artifact so numbers match, and note the device in App. A's provenance table — without restructuring the accepted contribution.
Camera-ready readiness
Final-package checklist:
PDF: ACM double-column, 12-page body confirmed, numbering unchanged
metadata: ACM rights, CCS concepts, author order, abstract
promises: every rebuttal-promised result delivered
artifacts: badges coordinated, repo de-anonymized and archival
logistics: registration done, June presenter and demo assignedHedged logistics
- Registration pricing, ACM rights/OA mechanics, and exact camera-ready dates change every cycle; confirm against the decision email and current instructions.
Output format
[Camera-ready status] Ready / Needs fixes / Blocked
[Final package] <PDF/metadata/ACM rights/artifacts>
[Policy checks] <page/authors/presentation/registration/badges>
[Promise delivery] <rebuttal promise -> 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 MobiSys-Skills/skills/mobisys-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Mobisys 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 |
|---|---|---|---|---|---|---|
| Mobisys Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | 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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Categories
Questions about Mobisys Camera Ready
What does Mobisys Camera Ready do?
A skill your agent uses when preparing an accepted MobiSys paper for the ACM Digital Library camera-ready — de-anonymization, the ACM double-column final layout and 12-page budget, ACM rights and…. Mobisys Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted MobiSys paper for the ACM Digital Library camera-ready — de-anonymization, the ACM double-column final layout and 12-page budget, ACM rights and CCS metadata, delivering any results promised in the rebuttal, coordinating the three artifact badges, registration, and the June in-person talk and demo in Cambridge.
When should I use Mobisys Camera Ready?
Mobisys Camera Ready fits situations like: preparing an accepted MobiSys paper for the ACM Digital Library camera-ready — de-anonymization; the ACM double-column final layout and 12-page budget; ACM rights and CCS metadata; delivering any results promised in the rebuttal.
How do I install Mobisys Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobisys-camera-ready -a claude-code`. Or copy the skill folder (MobiSys-Skills/skills/mobisys-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/mobisys-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Mobisys Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mobisys-camera-ready -a codex`. Or copy the skill folder (MobiSys-Skills/skills/mobisys-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/mobisys-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Mobisys 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 mobisys-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/mobisys-camera-ready, .gemini/skills/mobisys-camera-ready, .github/skills/mobisys-camera-ready and .opencode/skills/mobisys-camera-ready in your project.
What does Mobisys Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Mobisys Camera Ready is instructions for the agent only.
Does Mobisys 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 Mobisys 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 Mobisys Camera Ready use?
Mobisys 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 Mobisys Camera Ready use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 Mobisys Camera Ready?
Skills that share tags, products or a category with Mobisys 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 Mobisys 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.