Deepseek Reason
ruvnet/ruflo
Reasoning-mode completion against DeepSeek's deepseek-reasoner model (R1) via /v1/chat/completions.
A skill your agent uses when reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews, meta-review) and the NAACL program committee…
MITAuto-check passed
Install Naacl Review Process
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill naacl-review-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills naacl-review-process --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/NAACL-Skills/skills/naacl-review-process .claude/skills/naacl-review-process && 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 "naacl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/NAACL-Skills/skills/naacl-review-process into .claude/skills/naacl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "naacl-review-process", 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/NAACL-Skills/skills/naacl-review-processType 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 naacl-review-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills naacl-review-process --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/NAACL-Skills/skills/naacl-review-process .agents/skills/naacl-review-process && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "naacl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/NAACL-Skills/skills/naacl-review-process into .agents/skills/naacl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "naacl-review-process", 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 naacl-review-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills naacl-review-process --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/NAACL-Skills/skills/naacl-review-process .cursor/skills/naacl-review-process && 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 "naacl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/NAACL-Skills/skills/naacl-review-process into .cursor/skills/naacl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "naacl-review-process", 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 NAACL-Skills/skills/naacl-review-process--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 naacl-review-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills naacl-review-process --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/NAACL-Skills/skills/naacl-review-process .gemini/skills/naacl-review-process && 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 "naacl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/NAACL-Skills/skills/naacl-review-process into .gemini/skills/naacl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "naacl-review-process", 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 naacl-review-processInstalls 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 naacl-review-process -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/NAACL-Skills/skills/naacl-review-process .github/skills/naacl-review-process && 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 "naacl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/NAACL-Skills/skills/naacl-review-process into .github/skills/naacl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "naacl-review-process", 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 naacl-review-process -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 naacl-review-process --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/NAACL-Skills/skills/naacl-review-process .opencode/skills/naacl-review-process && 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 "naacl-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/NAACL-Skills/skills/naacl-review-process into .opencode/skills/naacl-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "naacl-review-process", 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
naacl-review-process- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 659 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews, meta-review) and the NAACL program committee…
- Works in 8 steps: Mid-October: anonymous PDF enters the… → Early November: compliance screening;… → November: three reviews written; author… → …
- Reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews
- SKILL.md covers The two-stage machine, What each actor optimizes, Main versus Findings,… and The skipped-year effect on…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Naacl Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews, meta-review) and the NAACL program committee (commitment-stage acceptance into Main or Findings), where author leverage exists at each stage, and how the skipped-year calendar shapes committee behavior.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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
- Reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews
- Meta-review) and the NAACL program committee (commitment-stage acceptance into Main
- Where author leverage exists at each stage
- How the skipped-year calendar shapes committee behavior
Example prompts
- “/naacl-review-process”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Mid-October: anonymous PDF enters the ARR cycle on OpenReview.
- Early November: compliance screening; desk rejections notified.
- November: three reviews written; author response window opens after
- Mid-December: meta-review synthesized; the package is now complete and
- Turn of the year: authors commit the package to NAACL 2025 (or hold it,
- January: SACs rank committed packages; program chairs set the
- Early February: final versions due for both acceptance tiers.
- Late April: Albuquerque.
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
Naacl Review Process loads about 1.4k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 659 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). 659 words, ~1,416 tokens.
Download SKILL.mdSave it as
.claude/skills/naacl-review-process/SKILL.md (or your agent's skills folder).- name
- naacl-review-process
- description
- Use when reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews, meta-review) and the NAACL program committee (commitment-stage acceptance into Main or Findings), where author leverage exists at each stage, and how the skipped-year calendar shapes committee behavior.
NAACL Review Process
NAACL outsources reviewing and keeps deciding. Understanding which body owns which judgment tells you where effort pays and where it evaporates.
The two-stage machine
Stage 1 — ARR (weeks 0-10 of a cycle). Three or more reviewers score the paper; an action editor synthesizes a meta-review. ARR produces an assessment, not an acceptance: nothing is "in" anywhere yet. Authors see everything and may respond mid-cycle or carry the package away.
Stage 2 — NAACL commitment. Authors forward the frozen package (paper, reviews, response threads, meta-review) to NAACL through OpenReview by the edition's commitment deadline. The chapter's senior area chairs and program chairs then sort committed papers into Main, Findings, or reject. No new reviews are commissioned in the normal path; the SACs reread what exists.
Consequences worth internalizing:
- Your reviews are portable. A package that misses one NAACL can commit to a later *ACL venue — or, since NAACL skips years, may have to.
- The response window is your only chance to change the text of the record; commitment is argument-free (aside from brief venue-specific forms some editions allow — verify per edition).
- Score-hunting via immediate resubmission is policed: ARR requires linking prior submissions with change summaries, and low meta-review scores can restrict quick re-entry.
What each actor optimizes
| Actor | Reads | Optimizes for | Your lever |
|---|---|---|---|
| ARR reviewer | Your paper, 4-6 others | Defensible scores, low effort | Content pages that answer the standard doubts preemptively |
| Action editor | Reviews + response | A meta-review that survives scrutiny | Response threads that end in quotable resolutions |
| NAACL SAC | Dozens of frozen packages | A balanced program under an acceptance budget | The meta-review's final tone; venue-fit signals |
| Program chairs | SAC recommendations | Program shape: topics, tracks, theme coverage | Topic/theme alignment declared honestly |
Main versus Findings, mechanically
Both outcomes publish in the ACL Anthology and both count as archival. The split is a program-capacity decision made at commitment: papers judged sound but not slotted into the main program land in Findings of NAACL. Editions differ on what presentation Findings papers receive. Strategic implication: soundness objections are deadly (they block both tiers), while excitement objections often decide only which tier — triage your response accordingly.
The skipped-year effect on committee behavior
Because the chapter stands down when ACL meets in the Americas (no 2023, no 2026 edition), each NAACL arrives after a gap in which reviewed-but-uncommitted packages accumulate. Expect commitment windows with unusually deep pools and SACs choosing among multiple cycles' worth of papers. Practical reading: a merely adequate package faces more competition at NAACL commitment than the same package would at an annual venue's, and freshness of the reviews (did the field move since?) becomes a real, if unwritten, factor.
Show full SKILL.md (222 more words)Show less
One package's path through the machine
A concrete trace, using the NAACL 2025 shape (October 2024 ARR cycle) as the historical example:
- Mid-October: anonymous PDF enters the ARR cycle on OpenReview.
- Early November: compliance screening; desk rejections notified.
- November: three reviews written; author response window opens after release.
- Mid-December: meta-review synthesized; the package is now complete and frozen — this exact bundle is what every later reader sees.
- Turn of the year: authors commit the package to NAACL 2025 (or hold it, or take it elsewhere; the reviews do not expire with the cycle).
- January: SACs rank committed packages; program chairs set the Main/Findings/reject lines under capacity constraints.
- Early February: final versions due for both acceptance tiers.
- Late April: Albuquerque.
The dates move every edition; the topology — review once, decide elsewhere, publish per tier — has been stable since NAACL adopted ARR exclusively.
Reading a review packet for stage 2
For each review:
score_axis -> soundness-type or excitement-type objection?
fixability -> answerable from existing evidence / in-window run / no
sac_optics -> how does this line read to a skimming SAC?
Then: response effort = (sac_optics severity) x (fixability),
not (how annoyed the review made you).Stage-by-stage leverage summary
- Before upload: venue-preference and language/topic fields shape which reviewer pool and eventual SAC lane you enter.
- Response window: the only writable moment; optimize the record.
- Commitment: choose venue and timing — the one strategic decision that is entirely yours.
- After decision: Main/Findings handling and, if rejected, a revise-and -resubmit into a later cycle with a truthful change summary.
Output format
[Stage] ARR reviewing / response / awaiting commitment / committed / decided
[Package strength] <meta-review tone + score pattern in one line>
[Objection split] soundness: <n> / excitement: <n>
[Commitment options] <NAACL edition vs sibling venues, with dates>
[Recommended play] <one action with rationale>© 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 NAACL-Skills/skills/naacl-review-process of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Naacl Review Process 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 |
|---|---|---|---|---|---|---|
| Naacl Review Process this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Deepseek Reasonruvnet/ruflo | 74k | — | ~626 | Automated safety check: Notes | MIT | |
| Ejentum Reasoning Harnesssickn33/agentic-awesome-skills | 47k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Music Getruvnet/ruflo | 74k | — | ~299 | Automated safety check: Pass | MIT | |
| Nowait Reasoning Optimizerdavila7/claude-code-templates | 33k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Is This Actually Goodmohitagw15856/pm-claude-skills | 1.4k | — | ~884 | Automated safety check: Pass | MIT |
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Questions about Naacl Review Process
What does Naacl Review Process do?
A skill your agent uses when reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews, meta-review) and the NAACL program committee…. Naacl Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews, meta-review) and the NAACL program committee (commitment-stage acceptance into Main or Findings), where author leverage exists at each stage, and how the skipped-year calendar shapes committee behavior.
When should I use Naacl Review Process?
Naacl Review Process fits situations like: reasoning about how a NAACL decision actually gets made — the division of labor between ACL Rolling Review (reviews; meta-review) and the NAACL program committee (commitment-stage acceptance into Main; where author leverage exists at each stage; how the skipped-year calendar shapes committee behavior.
How do I install Naacl Review Process in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill naacl-review-process -a claude-code`. Or copy the skill folder (NAACL-Skills/skills/naacl-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/naacl-review-process in your project. Claude Code loads it when a task matches its description.
How do I install Naacl Review Process in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill naacl-review-process -a codex`. Or copy the skill folder (NAACL-Skills/skills/naacl-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/naacl-review-process in your project. Codex loads it when a task matches its description.
Can I use Naacl Review Process 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 naacl-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/naacl-review-process, .gemini/skills/naacl-review-process, .github/skills/naacl-review-process and .opencode/skills/naacl-review-process in your project.
What does Naacl Review Process need to run?
SKILL.md names no scripts, command-line tools or credentials: Naacl Review Process is instructions for the agent only.
Does Naacl Review Process 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 Naacl Review Process 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 Naacl Review Process use?
Naacl Review Process 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 Naacl Review Process use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Naacl Review Process?
Skills that share tags, products or a category with Naacl Review Process: Deepseek Reason (ruvnet/ruflo, 74k stars), Ejentum Reasoning Harness (sickn33/agentic-awesome-skills, 47k stars), Music Get (ruvnet/ruflo, 74k stars) and Nowait Reasoning Optimizer (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Naacl Review Process?
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.