Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Agent skill
Interspeech Author Response
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts, answering WER/MOS evidence…
Install Interspeech Author Response
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-author-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-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/INTERSPEECH-Skills/skills/interspeech-author-response .claude/skills/interspeech-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 "interspeech-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-author-response into .claude/skills/interspeech-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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/INTERSPEECH-Skills/skills/interspeech-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 interspeech-author-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-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/INTERSPEECH-Skills/skills/interspeech-author-response .agents/skills/interspeech-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 "interspeech-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-author-response into .agents/skills/interspeech-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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 interspeech-author-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-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/INTERSPEECH-Skills/skills/interspeech-author-response .cursor/skills/interspeech-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 "interspeech-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-author-response into .cursor/skills/interspeech-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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 INTERSPEECH-Skills/skills/interspeech-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 interspeech-author-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-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/INTERSPEECH-Skills/skills/interspeech-author-response .gemini/skills/interspeech-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 "interspeech-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-author-response into .gemini/skills/interspeech-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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 interspeech-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 interspeech-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/INTERSPEECH-Skills/skills/interspeech-author-response .github/skills/interspeech-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 "interspeech-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-author-response into .github/skills/interspeech-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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 interspeech-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 interspeech-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/INTERSPEECH-Skills/skills/interspeech-author-response .opencode/skills/interspeech-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 "interspeech-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-author-response into .opencode/skills/interspeech-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-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
interspeech-author-response- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 782 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts, answering WER/MOS evidence…
- Works in 4 steps: Day 1: read all reviews twice; tag each… → Days 2–3: draft the evidence answers… → Day 4: cross-reviewer consistency pass;… → …
- INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts
- SKILL.md covers Know your audience mix, The 4-page constraint shapes…, Anonymity does not pause and Reply skeleton, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Interspeech Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts, answering WER/MOS evidence doubts with material already in the 4-page record, keeping replies anonymous, and writing for the meta-reviewer who decides in June.
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 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
- INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts
- Answering WER/MOS evidence doubts with material already in the 4-page record
- Keeping replies anonymous
- Writing for the meta-reviewer who decides in June
Example prompts
- “/interspeech-author-response”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Day 1: read all reviews twice; tag each point evidence / clarity / scope /
- Days 2–3: draft the evidence answers first — they decide acceptance at a
- Day 4: cross-reviewer consistency pass; contradictory replies to two
- Day 5: cut a third; verify the character/word cap; submit early. CMT under
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 Author Response loads about 1.6k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 782 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). 782 words, ~1,616 tokens.
Download SKILL.mdSave it as
.claude/skills/interspeech-author-response/SKILL.md (or your agent's skills folder).- name
- interspeech-author-response
- description
- Use when INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts, answering WER/MOS evidence doubts with material already in the 4-page record, keeping replies anonymous, and writing for the meta-reviewer who decides in June.
INTERSPEECH Author Response
Interspeech added an author rebuttal to its historically response-free pipeline in recent cycles; for 2026 the response window was reported as 24 April – 1 May, ahead of the 5 June notification. Confirm the live mechanics (length cap, CMT form fields, whether replies go to reviewers or only the area chair) before writing a word — rebuttal formats at this venue are young and still moving.
Know your audience mix
An Interspeech review set typically mixes reviewer species, because ISCA's areas span science and engineering:
| Reviewer instinct | What they attacked | What convinces them |
|---|---|---|
| Speech engineer | Baselines stale, WER delta within noise | Point to the significance test or per-condition breakdown already in the paper |
| Speech scientist | No phonetic/error analysis, claims exceed perception data | Cite the analysis subsection; concede scope honestly |
| ML generalist | "Incremental over the arXiv version of X" | State the technical delta in one sentence; note what the 4-page record shows |
| Resource skeptic | Corpus license, split leakage, evaluation protocol | Quote the exact split/protocol line; name the license |
Answer each reviewer in their own dialect. A MOS-methodology objection answered with more WER numbers reads as a dodge.
The 4-page constraint shapes the rebuttal
Unlike venues with appendices, everything reviewable was on those four pages — so "see appendix" is never available. Your levers are:
- Locate: most objections at Interspeech are density casualties; the answer is in the paper but compressed. Quote section and line.
- Reframe: restate what the 4 pages could not spell out — one derivation, one clarified protocol — briefly, as clarification, not as new content.
- Concede and scope: if the evidence truly is not there, say so and state what a camera-ready (or the next cycle) would add. Speech reviewers punish bluster more than gaps.
Whether new numbers are allowed in the response varies by cycle; if unverified, assume tables of new results are unwelcome and offer them as camera-ready additions.
Anonymity does not pause
The response is part of the double-anonymous record and the anonymity period runs until decisions. No identity hints, no links to demo pages created after submission under identifiable accounts, no "as our group showed at Interspeech 2024."
Reply skeleton
One block per objection, ordered by decision weight:
R1-Q2 (statistical validity of the 0.4 WER gain):
- The concern: gains may be within run-to-run variance.
- In the record: Table 2 reports mean±sd over 3 seeds; Sec 4.2 gives the
bootstrap 95% CI on test-other, excluding zero.
- Clarification: the CI uses utterance-level resampling (1000 draws).
- Offered for camera-ready: add the matched-pairs test on test-clean.Four to six lines each. The meta-reviewer will compress you anyway — pre-compress.
Triage order under a one-week window
- Day 1: read all reviews twice; tag each point evidence / clarity / scope / taste. Ignore taste unless the meta-reviewer could echo it.
- Days 2–3: draft the evidence answers first — they decide acceptance at a venue where "not convincing" is the modal reject phrase.
- Day 4: cross-reviewer consistency pass; contradictory replies to two reviewers are visible to the area chair on CMT.
- Day 5: cut a third; verify the character/word cap; submit early. CMT under deadline load is not where you want to be at 23:58 AoE.
Show full SKILL.md (313 more words)Show less
What to skip
- Do not re-argue the venue ("this is more of an ICASSP concern") — the routing decision was yours at area selection.
- Do not promise a Long Paper resubmission as a fix for missing evidence.
- Do not thank at length; the cap is better spent on the CI you computed.
- Do not respond to score, only to content — scores at Interspeech shift through the meta-review, not through indignation.
Pre-send checklist
- Every objection from every reviewer is acknowledged, even if only with one scoped sentence — silence on a point reads as concession.
- Each factual reply cites a section, table, or figure of the submitted PDF.
- No new result tables unless the live instructions explicitly permit them.
- Replies to different reviewers tell one consistent story.
- Zero identity signals: no lab names, grant codes, fresh links, or "our Interspeech 2024 system" phrasing.
- Word/character cap verified against the CMT form, not against habit.
- Someone outside the author list read it cold and could restate each objection from your answer alone.
Emotional discipline, briefly
Interspeech reviews arrive compressed and sometimes blunt — three reviewers covering a 4-page paper leave little space for pleasantries. The productive reading: every blunt sentence is a compression artifact of a real concern. Extract the concern, drop the tone, and never mirror bluntness back; the meta-reviewer reads your temperament as evidence about the work's solidity.
If there is no rebuttal this cycle
Rebuttal mechanics at Interspeech are recent and not guaranteed to recur. If the
current cycle runs without one, this skill still applies at two later moments:
the camera-ready revision memo (accepted papers), where reviewer concerns get
addressed in print, and the next-cycle revision plan (rejected papers), where
the same objection map drives the rewrite — see interspeech-review-process
for the triage lanes.
Output format
[Review set] R1/R2/R3(+) one-line objection map, tagged by type
[Decisive objection] <the one the meta-reviewer will weigh>
[Anchors] <section/table/figure of the 4-page record answering each point>
[Concessions] <honest gaps + camera-ready offers>
[Rebuttal draft] <numbered blocks per skeleton, within the live cap>
[Verify first] cap / new-results policy / who reads it — from the live CMT formThe 2026 window dates above came from secondary renderings and are flagged 待核实 in
resources/official-source-map.md; the official author pages control.
© 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-author-response of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Interspeech 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 |
|---|---|---|---|---|---|---|
| Interspeech Author Response this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | 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 Interspeech Author Response
What does Interspeech Author Response do?
A skill your agent uses when INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts, answering WER/MOS evidence…. Interspeech Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts, answering WER/MOS evidence doubts with material already in the 4-page record, keeping replies anonymous, and writing for the meta-reviewer who decides in June.
When should I use Interspeech Author Response?
Interspeech Author Response fits situations like: INTERSPEECH reviews arrive on CMT and a rebuttal is due — triaging three-or-more speech reviewers with mixed science/engineering instincts; answering WER/MOS evidence doubts with material already in the 4-page record; keeping replies anonymous; writing for the meta-reviewer who decides in June.
How do I install Interspeech Author Response in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-author-response -a claude-code`. Or copy the skill folder (INTERSPEECH-Skills/skills/interspeech-author-response in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/interspeech-author-response in your project. Claude Code loads it when a task matches its description.
How do I install Interspeech Author Response in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-author-response -a codex`. Or copy the skill folder (INTERSPEECH-Skills/skills/interspeech-author-response in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/interspeech-author-response in your project. Codex loads it when a task matches its description.
Can I use Interspeech 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 interspeech-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/interspeech-author-response, .gemini/skills/interspeech-author-response, .github/skills/interspeech-author-response and .opencode/skills/interspeech-author-response in your project.
What does Interspeech Author Response need to run?
SKILL.md names no scripts, command-line tools or credentials: Interspeech Author Response is instructions for the agent only.
Does Interspeech 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 Interspeech 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 Interspeech Author Response use?
Interspeech 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 Interspeech Author Response use?
About 1.6k tokens (SKILL.md is roughly 6.5k 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 Author Response?
Skills that share tags, products or a category with Interspeech 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 Interspeech 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.