Topics
ZimoLiao/scholaraio
A skill your agent uses when the user asks about research themes, topic distribution, BERTopic clustering, topic overview, topic papers, topic merges, or HTML topic visualizations.
Agent skill
Interspeech Topic Selection
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when deciding whether a project belongs at INTERSPEECH, the ISCA flagship speech conference, or should be routed to ICASSP, ASRU/SLT, Odyssey, SSW, ACL/EMNLP, or a speech…
MITAuto-check passed
Install Interspeech Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-topic-selection --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-topic-selection .claude/skills/interspeech-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-topic-selection into .claude/skills/interspeech-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-topic-selection", 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-topic-selectionType 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-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-topic-selection --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-topic-selection .agents/skills/interspeech-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-topic-selection into .agents/skills/interspeech-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-topic-selection", 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-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-topic-selection --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-topic-selection .cursor/skills/interspeech-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-topic-selection into .cursor/skills/interspeech-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-topic-selection", 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-topic-selection--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-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-topic-selection --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-topic-selection .gemini/skills/interspeech-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-topic-selection into .gemini/skills/interspeech-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-topic-selection", 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-topic-selectionInstalls 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-topic-selection -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-topic-selection .github/skills/interspeech-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-topic-selection into .github/skills/interspeech-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-topic-selection", 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-topic-selection -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-topic-selection --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-topic-selection .opencode/skills/interspeech-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-topic-selection into .opencode/skills/interspeech-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-topic-selection", 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-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 806 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding whether a project belongs at INTERSPEECH, the ISCA flagship speech conference, or should be routed to ICASSP, ASRU/SLT, Odyssey, SSW, ACL/EMNLP, or a speech…
- Deciding whether a project belongs at INTERSPEECH
- SKILL.md covers The modality test, Where Interspeech sits among…, Subfield-to-area matching and Track choice inside…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- The ISCA flagship speech conference
What it does
Interspeech Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at INTERSPEECH, the ISCA flagship speech conference, or should be routed to ICASSP, ASRU/SLT, Odyssey, SSW, ACL/EMNLP, or a speech journal — testing whether spoken language is the contribution, matching subfields to the reviewer pool, and choosing between the 4-page and Long Paper tracks.
Its SKILL.md is about 1.7k 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
- Deciding whether a project belongs at INTERSPEECH
- The ISCA flagship speech conference
- Should be routed to ICASSP
- A speech journal — testing whether spoken language is the contribution
Example prompts
- “/interspeech-topic-selection”
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
Links to these hosts (documentation or services it may open):
interspeech2026.org
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 Topic Selection loads about 1.7k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 806 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). 806 words, ~1,684 tokens.
Download SKILL.mdSave it as
.claude/skills/interspeech-topic-selection/SKILL.md (or your agent's skills folder).- name
- interspeech-topic-selection
- description
- Use when deciding whether a project belongs at INTERSPEECH, the ISCA flagship speech conference, or should be routed to ICASSP, ASRU/SLT, Odyssey, SSW, ACL/EMNLP, or a speech journal — testing whether spoken language is the contribution, matching subfields to the reviewer pool, and choosing between the 4-page and Long Paper tracks.
INTERSPEECH Topic Selection
Interspeech is the annual conference of ISCA — the International Speech Communication Association, not to be confused with the computer-architecture symposium that shares the acronym. It is the broadest speech venue in existence: phoneticians, hearing scientists, ASR engineers, and voice-cloning teams review in adjacent areas of the same program. Fit means convincing speech reviewers, and the 2026 theme in Sydney was "Speaking Together" — inclusion across languages, cultures, and modalities. Reconfirm scope at https://interspeech2026.org before routing.
The modality test
Ask: if the audio were replaced by its transcript, would the contribution survive?
- If yes, the paper is NLP wearing a headset — route it to an ACL-family venue where text-based reviewers will value it.
- If no — the claim depends on acoustics, prosody, speakers, articulation, hearing, or the speech signal itself — Interspeech is a candidate.
- Borderline: spoken-language understanding and speech-LLM work fits when the spoken channel (disfluency, ASR errors, prosody, audio tokens) is analyzed, not assumed away.
Where Interspeech sits among its neighbors
| If the core contribution is... | Prefer | Why not Interspeech |
|---|---|---|
| Speech science or technology, any subfield | Interspeech | — (this is home turf) |
| General signal processing, radar, imaging | ICASSP (IEEE) | Interspeech reviewers expect speech, not DSP breadth |
| ASR-only deep dive, workshop-scale | ASRU / SLT (IEEE, biennial) | Smaller, narrower; fine for follow-ups |
| Speaker/language recognition depth | Odyssey (ISCA workshop) | Specialist audience; Interspeech still fine |
| TTS system depth | SSW (ISCA Speech Synthesis Workshop) | Same trade-off as Odyssey |
| Text NLP, LLM reasoning, no audio analysis | ACL / EMNLP / NAACL | Fails the modality test |
| Mature work needing >4 pages of record | IEEE/ACM TASLP, Computer Speech & Language, Speech Communication | Journal timelines, no conference clock |
Subfield-to-area matching
Interspeech submissions are reviewed inside scientific areas chosen at submission time. Misfiled papers draw reviewers with the wrong evaluation instincts:
- Recognition-side: ASR architectures, robustness, adaptation, decoding.
- Generation-side: TTS, voice conversion, singing synthesis.
- Talker-side: speaker verification, diarization, anti-spoofing, voice privacy.
- Human-side: phonetics, prosody, production/perception, pathological speech, child speech, second-language learning.
- Interaction-side: spoken dialogue, SLU, speech translation, audio LLMs.
- Resource-side: corpora, benchmarks, evaluation methodology, challenges.
A phonetics claim reviewed by ASR engineers (or vice versa) is the most common self-inflicted rejection at this venue; pick the area for the claim, not the tools.
Track choice inside Interspeech (new in 2026)
Interspeech 2026 introduced a Long Paper track (reported: up to 8 pages plus 2 reference pages, targeted acceptance below 30%) alongside the classic 4-page regular paper. Choose long only when the contribution genuinely cannot be stated in four pages — a benchmark with extensive analysis, a theory-plus-system arc. A padded 4-page idea in the long track competes against a stricter bar. Verify the current track rules; this split is one cycle old.
Signals the project is Interspeech-shaped
- The evaluation uses speech-native metrics (WER, MOS, EER, PESQ) on named corpora.
- Error analysis engages speakers, accents, noise conditions, or phonetic categories.
- The related work traces through the ISCA Archive, not only arXiv and ACL.
- A speech scientist and a speech engineer would both find something to argue with.
Show full SKILL.md (316 more words)Show less
Signals to reroute
- Results reported only on text benchmarks with audio as an afterthought.
- The novelty is a general ML trick demonstrated on speech among other domains — NeurIPS/ICML reviewers reward generality; Interspeech reviewers ask what it teaches about speech.
- The paper is a product description without a falsifiable claim.
Three triage vignettes
- "We fine-tuned an LLM to summarize meeting transcripts." Transcript-only input, text output, no acoustic analysis — fails the modality test. Route to an ACL-family venue; return here only if ASR-error propagation or prosodic cues enter the analysis.
- "Our vocoder halves inference cost at equal MOS." Speech-native claim, speech-native metric, engineering contribution — strong Interspeech fit in a generation-side area; SSW is the specialist fallback if the delta is vocoder-internals deep.
- "A cross-linguistic study of vowel reduction in child speech." No system at all, and still a strong fit — human-side areas review speech science on its own terms. This breadth is exactly what ICASSP does not offer.
Questions to settle before committing
- Which two or three scientific areas could plausibly host the claim, and which reviewer pool do you actually want? (Decide now; it is frozen at submission.)
- Is there a running challenge whose test set and baseline make your evaluation legible for free?
- Does the evidence you can gather by the deadline fill 4 pages convincingly, or does honesty require the Long Paper track or a journal?
- If the answer is "reroute," is the finding still worth an ISCA workshop (Odyssey, SSW, task workshops) where the specialist audience is denser?
Output format
[Modality test] survives transcript-only? yes / no / partial — <one line>
[Interspeech fit] strong / plausible / reroute
[Area match] <scientific area the claim belongs to>
[Track] 4-page regular / Long Paper (verify current rules) / workshop or challenge
[Reroute target] <ICASSP / ASRU / SLT / Odyssey / SSW / ACL-family / journal + reason>
[Cycle reality] next deadline and source URL, or 待核实Cycle anchor (checked 2026-07-08)
Interspeech 2026: Sydney, Australia, 27 September – 1 October 2026, hosted with ASSTA; submissions closed 25 February 2026. Interspeech 2027 is announced for São Paulo, Brazil (29 August – 2 September 2027) — the first South American edition — so a project failing today's fit test has a concrete next target. Treat every date here as a snapshot; reopen the official site before planning.
© 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-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Interspeech Topic Selection 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 Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| TopicsZimoLiao/scholaraio | 576 | — | ~294 | Automated safety check: Pass | MIT | |
| Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Bestblogs Topicginobefun/BestBlogs | 4k | — | ~670 | Automated safety check: Pass | None | |
| Zsxq Topicitwanger/toBeBetterJavaer | 18k | — | ~564 | Automated safety check: Pass | None | |
| Interspeechfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None |
Similar skills
Topic Modeling
brycewang-stanford/Auto-Empirical-Research-Skills
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
Bestblogs Topic
ginobefun/BestBlogs
A skill your agent uses when the user asks about a specific topic, subject area, or wants to explore curated topic pages on BestBlogs.
Zsxq Topic
itwanger/toBeBetterJavaer
知识星球主题管理：搜索主题、查看主题详情、发布帖子、编辑主题、发表评论、回复某条评论（楼中楼）、回答提问、删除主题；通过 api call 查看主题评论列表、设置精华、设置标签、查看自己提的问题与已回答记录。当用户需要查找内容、发帖、编辑主题、评论、回复评论、回答问题、删除主题、查看主题评论、查看自己的提问记录、或管理主题精华和标签时使用。
Interspeech
franklee16/academic-research-skills
A skill your agent uses when targeting INTERSPEECH (INTERSPEECH) or deciding whether a computer-science manuscript fits this venue.
Pubmed Topic Recommend
aipoch/medical-research-skills
Generate ~5 actionable research topic recommendations by querying PubMed E-utilities; use when a user provides a research direction/constraints and needs evidence-backed topic ideas quickly.
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Questions about Interspeech Topic Selection
What does Interspeech Topic Selection do?
A skill your agent uses when deciding whether a project belongs at INTERSPEECH, the ISCA flagship speech conference, or should be routed to ICASSP, ASRU/SLT, Odyssey, SSW, ACL/EMNLP, or a speech…. Interspeech Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at INTERSPEECH, the ISCA flagship speech conference, or should be routed to ICASSP, ASRU/SLT, Odyssey, SSW, ACL/EMNLP, or a speech journal — testing whether spoken language is the contribution, matching subfields to the reviewer pool, and choosing between the 4-page and Long Paper tracks.
When should I use Interspeech Topic Selection?
Interspeech Topic Selection fits situations like: deciding whether a project belongs at INTERSPEECH; the ISCA flagship speech conference; should be routed to ICASSP; A speech journal — testing whether spoken language is the contribution.
How do I install Interspeech Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-topic-selection -a claude-code`. Or copy the skill folder (INTERSPEECH-Skills/skills/interspeech-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/interspeech-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Interspeech Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-topic-selection -a codex`. Or copy the skill folder (INTERSPEECH-Skills/skills/interspeech-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/interspeech-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Interspeech Topic Selection 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-topic-selection -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-topic-selection, .gemini/skills/interspeech-topic-selection, .github/skills/interspeech-topic-selection and .opencode/skills/interspeech-topic-selection in your project.
What does Interspeech Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Interspeech Topic Selection is instructions for the agent only.
Does Interspeech Topic Selection access the network?
SKILL.md names 1 domain. As links in the text: interspeech2026.org. This is read from the text; nothing was executed.
Is Interspeech Topic Selection 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 Topic Selection use?
Interspeech Topic Selection 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 Topic Selection use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Interspeech Topic Selection?
Skills that share tags, products or a category with Interspeech Topic Selection: Topics (ZimoLiao/scholaraio, 576 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Bestblogs Topic (ginobefun/BestBlogs, 4k stars) and Zsxq Topic (itwanger/toBeBetterJavaer, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Interspeech Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.