Academic Paper Strategist
AAASS554/codex-academic-paper-skills
A skill your agent uses when the user needs to plan, de-risk, or ground a software engineering / computer science undergraduate thesis from a real codebase before final writing.
Agent skill
Interspeech Review Process
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when reasoning about how INTERSPEECH review actually works — area-based assignment inside ISCA's scientific program, multi-reviewer scoring and meta-review on CMT, what the…
Install Interspeech Review Process
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-review-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-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/INTERSPEECH-Skills/skills/interspeech-review-process .claude/skills/interspeech-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 "interspeech-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-review-process into .claude/skills/interspeech-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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/INTERSPEECH-Skills/skills/interspeech-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 interspeech-review-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-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/INTERSPEECH-Skills/skills/interspeech-review-process .agents/skills/interspeech-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 "interspeech-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-review-process into .agents/skills/interspeech-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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 interspeech-review-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-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/INTERSPEECH-Skills/skills/interspeech-review-process .cursor/skills/interspeech-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 "interspeech-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-review-process into .cursor/skills/interspeech-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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 INTERSPEECH-Skills/skills/interspeech-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 interspeech-review-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-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/INTERSPEECH-Skills/skills/interspeech-review-process .gemini/skills/interspeech-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 "interspeech-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-review-process into .gemini/skills/interspeech-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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 interspeech-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 interspeech-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/INTERSPEECH-Skills/skills/interspeech-review-process .github/skills/interspeech-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 "interspeech-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-review-process into .github/skills/interspeech-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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 interspeech-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 interspeech-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/INTERSPEECH-Skills/skills/interspeech-review-process .opencode/skills/interspeech-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 "interspeech-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-review-process into .opencode/skills/interspeech-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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
interspeech-review-process- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 695 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 INTERSPEECH review actually works — area-based assignment inside ISCA's scientific program, multi-reviewer scoring and meta-review on CMT, what the…
- Reasoning about how INTERSPEECH review actually works — area-based assignment inside ISCAs scientific program
- SKILL.md covers The pipeline, 2026 shape, What reviewers are scored on, What the rebuttal moves (and… and Decisions and what they encode, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Multi-reviewer scoring and meta-review on CMT
What it does
Interspeech Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how INTERSPEECH review actually works — area-based assignment inside ISCA's scientific program, multi-reviewer scoring and meta-review on CMT, what the rebuttal can and cannot move, oral/poster allocation, ISCA best student paper selection, and reading a decision letter for next-cycle strategy.
Its SKILL.md is about 1.6k 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 Education, covering Essays and academic help. 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 INTERSPEECH review actually works — area-based assignment inside ISCAs scientific program
- Multi-reviewer scoring and meta-review on CMT
- What the rebuttal can and cannot move
- Oral/poster allocation
Example prompts
- “/interspeech-review-process”
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
Interspeech Review Process loads about 1.6k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 695 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). 695 words, ~1,562 tokens.
Download SKILL.mdSave it as
.claude/skills/interspeech-review-process/SKILL.md (or your agent's skills folder).- name
- interspeech-review-process
- description
- Use when reasoning about how INTERSPEECH review actually works — area-based assignment inside ISCA's scientific program, multi-reviewer scoring and meta-review on CMT, what the rebuttal can and cannot move, oral/poster allocation, ISCA best student paper selection, and reading a decision letter for next-cycle strategy.
INTERSPEECH Review Process
Interspeech reviews several thousand submissions a year through an area-structured technical program committee, on a compressed spring schedule, with a single decision date. Understanding the machine explains both the review you got and the leverage you have. Mechanics are re-tuned annually by that year's Technical Program Chairs — the 2026 shape below is a snapshot, not a constitution.
The pipeline, 2026 shape
| Stage | 2026 anchor | Author-visible? |
|---|---|---|
| Submission + update window | 25 Feb / update to 4 Mar | yes |
| Area chairs assign reviewers within the chosen scientific area | Mar–Apr | no |
| Independent reviews written (typically 3+) | Apr | at release |
| Author rebuttal window | reported 24 Apr – 1 May (待核实) | yes |
| Meta-review / area consolidation | May | in decision |
| TPC acceptance meeting; program packing (oral vs poster) | May | no |
| Notification | 5 Jun | yes |
| Camera-ready | 19 Jun | yes |
The area is the unit of everything: your reviewers, your meta-reviewer, and your competition for slots all come from the scientific area you selected at submission. That is why area choice is a strategy decision, not a form field.
What reviewers are scored on
ISCA-style review forms ask for judgments along familiar axes — novelty/relevance, technical correctness, quality of evaluation, clarity, and reference coverage — plus a listen to any audio. Exact form wording per cycle is 待核实; what is stable is the community's calibration:
- "Not convincing" (evaluation too thin, no significance, wrong baseline) is the modal complaint — more than "not novel."
- Speech reviewers reward scoped claims verified carefully over broad claims verified loosely.
- Reference coverage includes the ISCA Archive lineage; missing the standard prior system from two Interspeechs ago is read as not knowing the field.
What the rebuttal moves (and what it cannot)
Interspeech's rebuttal is young (introduced in recent cycles) and short. It
reliably fixes: factual misreadings, missed content in the dense 4 pages, and
protocol misunderstandings. It rarely fixes: taste, scope objections, or a
reviewer's judgment that the evidence bar was missed. Write for the meta-reviewer
who will arbitrate (see interspeech-author-response).
Decisions and what they encode
- Accept: mode (oral/poster) arrives with scheduling, not with the decision; poster is a packing outcome, not a demotion — award-winning papers present as posters at this venue.
- Reject: the letter usually aggregates review themes. Decode for next cycle:
evidence gap → fixable by
interspeech-experiments; fit complaint → re-runinterspeech-topic-selection; density complaint → the 4 pages were overstuffed, consider the Long Paper track or a journal. - There is no conditional-accept limbo; the accept is real and the camera-ready window is administrative.
Show full SKILL.md (290 more words)Show less
Awards, for calibration not planning
ISCA confers three Best Student Paper awards at each Interspeech (selection
combines reviewing and on-site presentation; the first author must be a student —
verify current criteria), and the ISCA Medal for Scientific Achievement opens
the conference. Award papers are useful exemplars of the venue's taste — see
resources/exemplars/library.md — but optimizing a submission for awards is noise.
Confidentiality and conduct
Reviews, scores, and CMT discussion are confidential; quoting them publicly violates community norms. Reviewer duty flows the other way too — Interspeech recruits heavily from the author pool, and reviewing a few papers well is how the 4-page machine stays alive.
Reading your reviews: a 20-minute protocol
1. Strip scores; list every distinct claim reviewers make about the paper.
2. Tag each: misreading / evidence gap / scope-taste / writing density.
3. Count how many trace to compression (answer existed but was crushed
out of the 4 pages) — that fraction is your writing problem, not your
research problem.
4. Identify what the meta-reviewer will likely weight: points echoed by
2+ reviewers, or by the most expert one.
5. Choose the lane: rebut (this cycle) / revise (next cycle) / reroute.Calibrating expectations by phase
- March–April (silence): normal. Reviewer assignment and writing are underway; there is nothing to check and nobody to email.
- Late April (reviews/rebuttal, if run): the one author-input point of the spring. Missing a one-week window because nobody watched CMT is a wholly preventable failure — name the watcher at submission time.
- May (silence again): meta-review and TPC consolidation; score changes here are invisible to you.
- Early June: decision. The same-week triage meeting matters because the camera-ready window is two weeks and registration pricing tiers are ticking.
Scale, honestly stated
Interspeech operates at thousands-of-submissions scale with a large volunteer reviewer pool, which explains the texture of the process: short reviews, area-local calibration, no negotiation rounds, and a program committee that packs a five-day, many-parallel-session program. Publicly posted acceptance rates vary by edition and are not restated here (待核实 per cycle) — but the planning implication is stable: the process is one-shot per year, so the February version of the paper is the paper.
Output format
[Stage now] where in the pipeline, next visible event + date
[Review map] per-reviewer objection tags
[Meta-review prediction] <the consolidated one-liner you must change>
[Leverage] rebuttal-movable vs immovable points
[If rejected] revise-for-2027 / Long Paper / journal / reroute + rationale2026 anchors were checked 2026-07-08 (rebuttal dates from secondary sources —
待核实); see resources/official-source-map.md for the trail.
© 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 INTERSPEECH-Skills/skills/interspeech-review-process of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Interspeech 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 |
|---|---|---|---|---|---|---|
| Interspeech Review Process this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Academic Paper StrategistAAASS554/codex-academic-paper-skills | 539 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Modeling Paper Rubric and Model Selectoryushui2022/MathModel-Skill | 453 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Humanities Thesisganzhi-black/humanities-thesis-skill | 632 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Skill Thesis Writeryanlin-cheng/skill-thesis-writer | 207 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Thesis CreatorStars-OC/thesis-creator | 230 | — | ~2.8k | Automated safety check: Pass | MIT |
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Categories
Questions about Interspeech Review Process
What does Interspeech Review Process do?
A skill your agent uses when reasoning about how INTERSPEECH review actually works — area-based assignment inside ISCA's scientific program, multi-reviewer scoring and meta-review on CMT, what the…. Interspeech Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how INTERSPEECH review actually works — area-based assignment inside ISCA's scientific program, multi-reviewer scoring and meta-review on CMT, what the rebuttal can and cannot move, oral/poster allocation, ISCA best student paper selection, and reading a decision letter for next-cycle strategy.
When should I use Interspeech Review Process?
Interspeech Review Process fits situations like: reasoning about how INTERSPEECH review actually works — area-based assignment inside ISCAs scientific program; multi-reviewer scoring and meta-review on CMT; what the rebuttal can and cannot move; oral/poster allocation.
How do I install Interspeech Review Process in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-review-process -a claude-code`. Or copy the skill folder (INTERSPEECH-Skills/skills/interspeech-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/interspeech-review-process in your project. Claude Code loads it when a task matches its description.
How do I install Interspeech Review Process in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-review-process -a codex`. Or copy the skill folder (INTERSPEECH-Skills/skills/interspeech-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/interspeech-review-process in your project. Codex loads it when a task matches its description.
Can I use Interspeech 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 interspeech-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/interspeech-review-process, .gemini/skills/interspeech-review-process, .github/skills/interspeech-review-process and .opencode/skills/interspeech-review-process in your project.
What does Interspeech Review Process need to run?
SKILL.md names no scripts, command-line tools or credentials: Interspeech Review Process is instructions for the agent only.
Does Interspeech 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 Interspeech 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 Interspeech Review Process use?
Interspeech 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 Interspeech Review Process use?
About 1.6k tokens (SKILL.md is roughly 6.2k 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 Interspeech Review Process?
Skills that share tags, products or a category with Interspeech Review Process: Academic Paper Strategist (AAASS554/codex-academic-paper-skills, 539 stars), Modeling Paper Rubric and Model Selector (yushui2022/MathModel-Skill, 453 stars), Humanities Thesis (ganzhi-black/humanities-thesis-skill, 632 stars) and Skill Thesis Writer (yanlin-cheng/skill-thesis-writer, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Interspeech Review Process?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.