Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when drafting an ACM RecSys rebuttal during the author-response window, covering the short narrative RecSys allows, anonymity, anchoring answers to submitted evidence and the…
Install Recsys Author Response
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-author-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-author-response --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-author-response .claude/skills/recsys-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-author-response into .claude/skills/recsys-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-author-response", 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-author-responseType 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-author-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-author-response --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-author-response .agents/skills/recsys-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-author-response into .agents/skills/recsys-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-author-response", 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-author-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-author-response --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-author-response .cursor/skills/recsys-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-author-response into .cursor/skills/recsys-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-author-response", 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-author-response--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-author-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-author-response --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-author-response .gemini/skills/recsys-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-author-response into .gemini/skills/recsys-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-author-response", 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-author-responseInstalls 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-author-response -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-author-response .github/skills/recsys-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-author-response into .github/skills/recsys-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-author-response", 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-author-response -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-author-response --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-author-response .opencode/skills/recsys-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-author-response into .opencode/skills/recsys-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-author-response", 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-author-response- GitHub stars
- 1.2k
- Token cost
- ~1k tokens
- SKILL.md length
- 477 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when drafting an ACM RecSys rebuttal during the author-response window, covering the short narrative RecSys allows, anonymity, anchoring answers to submitted evidence and the…
- Works in 4 steps: State the decision-critical correction… → Point to the exact submitted evidence… → Explain the recommendation consequence —… → …
- Drafting an ACM RecSys rebuttal during the author-response window
- SKILL.md covers Triage, Drafting pattern, Recommender-reviewer pushback… and Response micro-example, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Recsys Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting an ACM RecSys rebuttal during the author-response window, covering the short narrative RecSys allows, anonymity, anchoring answers to submitted evidence and the anonymous repository, the recurring objections about untuned baselines, leakage, and offline-online gaps, and Senior-PC-focused clarification.
Its SKILL.md is about 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
- Drafting an ACM RecSys rebuttal during the author-response window
- Covering the short narrative RecSys allows
- Anchoring answers to submitted evidence and the anonymous repository
- The recurring objections about untuned baselines
Example prompts
- “/recsys-author-response”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- State the decision-critical correction or concession in the first line.
- Point to the exact submitted evidence (table, figure, appendix section, repository path).
- Explain the recommendation consequence — what it means for the ranking claim or deployment.
- Promise a camera-ready wording fix only where it adds no unsupported new claim.
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 Author Response loads about 1k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 477 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). 477 words, ~1,032 tokens.
Download SKILL.mdSave it as
.claude/skills/recsys-author-response/SKILL.md (or your agent's skills folder).- name
- recsys-author-response
- description
- Use when drafting an ACM RecSys rebuttal during the author-response window, covering the short narrative RecSys allows, anonymity, anchoring answers to submitted evidence and the anonymous repository, the recurring objections about untuned baselines, leakage, and offline-online gaps, and Senior-PC-focused clarification.
RecSys Author Response
Use this after RecSys reviews are released and the rebuttal window opens. RecSys runs a brief author-response phase (2026: June 4-9) in which authors add a short narrative to clarify misconceptions. Reopen the current instructions before drafting — the length and mechanics are cycle-specific and the phase is short.
Triage
- Answer concerns that move the decision: correctness, recommendation novelty, evaluation validity, reproducibility, and fit.
- Use already-submitted evidence — paper sections, tables, ablations, the appendix, and the anonymous repository. The rebuttal clarifies; it does not add a new experiment the reviewers cannot see.
- Keep the reply anonymous: no institution, platform, deployed-system name, or repository owner.
- Correct factual misreadings first, then address requested comparisons, tuning details, or uncertainty that the paper already supports.
- Do not paste new result tables the reviewers had no chance to vet; point to what exists.
Drafting pattern
- State the decision-critical correction or concession in the first line.
- Point to the exact submitted evidence (table, figure, appendix section, repository path).
- Explain the recommendation consequence — what it means for the ranking claim or deployment.
- Promise a camera-ready wording fix only where it adds no unsupported new claim.
Recommender-reviewer pushback patterns
| Pushback | What it signals | RecSys-ready fix |
|---|---|---|
| "Were the baselines tuned as hard as your method?" | The reviewer read the 2019 reproducibility literature | Point to the equal-budget tuning grid in the appendix and the per-baseline selected settings; never wave it off as "standard config" |
| "This is a random split on sequential data" | Suspected temporal leakage | Confirm the temporal/leave-one-last protocol and where it is stated, or concede and scope the claim |
| "Offline nDCG gains may not deploy" | The offline-online gap objection | Anchor to the off-policy estimate, the simulator, or an A/B result; if you have none, scope the claim to offline |
| "Metrics look sampled, not full-ranking" | Sampled-metric distortion suspected | State whether ranking is over the full item set and the cutoff, or report the full-ranking number |
| "Missing the obvious matrix-factorization baseline" | A weak-comparison gap | Anchor to the appendix comparison, or concede a camera-ready addition |
Show full SKILL.md (139 more words)Show less
Response micro-example
Reviewer objection: the Recall@20 gain probably vanishes against a properly tuned baseline. Reply skeleton:
- Concede the concern is the right one to raise.
- Point to Appendix C, where every baseline is tuned on the same grid with the same budget, and the selected hyperparameters are listed.
- Note the gain persists after tuning (Table 1) and the ablation (Table 2) isolates the mechanism.
- Offer one camera-ready sentence making the equal-budget protocol explicit in the main text.
Rebuttal calibration
- One decision-critical point per reviewer beats an exhaustive line-by-line reply; the Senior PC reads for whether the central evaluation objection was actually resolved.
- Reply early — RecSys rebuttal windows are short and a precise early narrative outweighs a late comprehensive one.
- Length and formatting norms vary by cycle; recheck the current author-response instructions before sending.
Output format
[Priority issue] <reviewer concern>
[Decision dimension] correctness / novelty / evaluation validity / reproducibility / fit
[Draft response] <RecSys-ready anonymous narrative>
[Evidence anchor] <table / figure / appendix / repository path>
[Forbidden content removed] <identity leaks, unseen new results, unsupported claims>© 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-author-response of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Recsys Author Response 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 Author Response this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~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 Recsys Author Response
What does Recsys Author Response do?
A skill your agent uses when drafting an ACM RecSys rebuttal during the author-response window, covering the short narrative RecSys allows, anonymity, anchoring answers to submitted evidence and the…. Recsys Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting an ACM RecSys rebuttal during the author-response window, covering the short narrative RecSys allows, anonymity, anchoring answers to submitted evidence and the anonymous repository, the recurring objections about untuned baselines, leakage, and offline-online gaps, and Senior-PC-focused clarification.
When should I use Recsys Author Response?
Recsys Author Response fits situations like: drafting an ACM RecSys rebuttal during the author-response window; covering the short narrative RecSys allows; anchoring answers to submitted evidence and the anonymous repository; the recurring objections about untuned baselines.
How do I install Recsys Author Response in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-author-response -a claude-code`. Or copy the skill folder (RecSys-Skills/skills/recsys-author-response in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/recsys-author-response in your project. Claude Code loads it when a task matches its description.
How do I install Recsys Author Response in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-author-response -a codex`. Or copy the skill folder (RecSys-Skills/skills/recsys-author-response in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/recsys-author-response in your project. Codex loads it when a task matches its description.
Can I use Recsys Author Response 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-author-response -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-author-response, .gemini/skills/recsys-author-response, .github/skills/recsys-author-response and .opencode/skills/recsys-author-response in your project.
What does Recsys Author Response need to run?
SKILL.md names no scripts, command-line tools or credentials: Recsys Author Response is instructions for the agent only.
Does Recsys Author Response 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 Author Response 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 Author Response use?
Recsys Author Response 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 Author Response use?
About 1k tokens (SKILL.md is roughly 4.1k 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 Author Response?
Skills that share tags, products or a category with Recsys Author Response: 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 Author Response?
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.