QA Acceptance
paperclipai/paperclip
Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evidence.
Agent skill
Interspeech Camera Ready
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when an INTERSPEECH paper is accepted and the camera-ready, registration, and presentation chain begins — de-anonymizing for the ISCA Archive, restoring acknowledgments on…
MITAuto-check passed
Install Interspeech Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-camera-ready --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-camera-ready .claude/skills/interspeech-camera-ready && 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-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-camera-ready into .claude/skills/interspeech-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-camera-ready", 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-camera-readyType 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-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-camera-ready --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-camera-ready .agents/skills/interspeech-camera-ready && 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-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-camera-ready into .agents/skills/interspeech-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-camera-ready", 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-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-camera-ready --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-camera-ready .cursor/skills/interspeech-camera-ready && 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-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-camera-ready into .cursor/skills/interspeech-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-camera-ready", 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-camera-ready--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-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills interspeech-camera-ready --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-camera-ready .gemini/skills/interspeech-camera-ready && 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-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-camera-ready into .gemini/skills/interspeech-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-camera-ready", 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-camera-readyInstalls 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-camera-ready -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-camera-ready .github/skills/interspeech-camera-ready && 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-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-camera-ready into .github/skills/interspeech-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-camera-ready", 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-camera-ready -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-camera-ready --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-camera-ready .opencode/skills/interspeech-camera-ready && 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-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/INTERSPEECH-Skills/skills/interspeech-camera-ready into .opencode/skills/interspeech-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interspeech-camera-ready", 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-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 653 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when an INTERSPEECH paper is accepted and the camera-ready, registration, and presentation chain begins — de-anonymizing for the ISCA Archive, restoring acknowledgments on…
- Works in 5 steps: Restore author names, affiliations, and… → Reinstate acknowledgments and funding on… → Convert anonymized self-citations back… → …
- An INTERSPEECH paper is accepted and the camera-ready
- SKILL.md covers De-anonymization, done in the…, What may change vs. what may not, The registration coupling and Metadata hygiene for the Archive, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Interspeech Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an INTERSPEECH paper is accepted and the camera-ready, registration, and presentation chain begins — de-anonymizing for the ISCA Archive, restoring acknowledgments on the references page, meeting the author-registration requirement for proceedings inclusion, DOI metadata, and oral/poster preparation for the conference week.
Its SKILL.md is about 1.5k 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
- An INTERSPEECH paper is accepted and the camera-ready
- Presentation chain begins — de-anonymizing for the ISCA Archive
- Restoring acknowledgments on the references page
- Meeting the author-registration requirement for proceedings inclusion
Example prompts
- “/interspeech-camera-ready”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Restore author names, affiliations, and emails exactly as registered in CMT —
- Reinstate acknowledgments and funding on the references/acknowledgments page —
- Convert anonymized self-citations back to first person where it reads naturally.
- Replace anonymous demo/repository links with the permanent public ones you
- Re-run the paper kit's PDF checker; camera-ready uploads are validated too.
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 Camera Ready loads about 1.5k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 653 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). 653 words, ~1,481 tokens.
Download SKILL.mdSave it as
.claude/skills/interspeech-camera-ready/SKILL.md (or your agent's skills folder).- name
- interspeech-camera-ready
- description
- Use when an INTERSPEECH paper is accepted and the camera-ready, registration, and presentation chain begins — de-anonymizing for the ISCA Archive, restoring acknowledgments on the references page, meeting the author-registration requirement for proceedings inclusion, DOI metadata, and oral/poster preparation for the conference week.
INTERSPEECH Camera-Ready
Acceptance at Interspeech starts a tight administrative chain: in the 2026 (Sydney)
cycle, notification landed 5 June and camera-ready closed 19 June — two weeks.
The paper then enters the ISCA Archive (www.isca-archive.org), the open-access
proceedings library of the International Speech Communication Association, where
every Interspeech paper since 1987's Eurospeech lineage lives with a
10.21437/Interspeech.<year>-<number> DOI. Work from the live acceptance email and
author pages; the steps below are the recurring shape.
De-anonymization, done in the right order
- Restore author names, affiliations, and emails exactly as registered in CMT — the metadata feeds the Archive entry and the DOI record.
- Reinstate acknowledgments and funding on the references/acknowledgments page — that is the only page that may hold them, and it still may hold nothing else.
- Convert anonymized self-citations back to first person where it reads naturally.
- Replace anonymous demo/repository links with the permanent public ones you
actually intend to maintain (see
interspeech-artifact-evaluation). - Re-run the paper kit's PDF checker; camera-ready uploads are validated too.
What may change vs. what may not
| Change | Status at camera-ready |
|---|---|
| Fixes promised in the rebuttal | Expected — reviewers' one leverage point |
| Typos, figure quality, reference completeness | Welcome |
| Title or author list | Restricted; usually requires chair approval |
| New experiments that alter claims | Not sanctioned — the accepted content was reviewed |
| Page count | Same 4+1 contract (Long Papers per their own rules) |
The registration coupling
Interspeech ties proceedings inclusion to registration: at least one author must register (author registration) for the paper to appear in the proceedings and be scheduled. For 2026, early-bird pricing closed 15 July and standard registration 16 August. On today's calendar (2026-07-08) that makes registration, not the PDF, the live deadline for accepted authors. Budget note: Interspeech has no article-processing charge — the ISCA Archive is open access — so registration and travel are the real costs.
Metadata hygiene for the Archive
- Title/abstract in the portal must match the PDF character-for-character; the Archive page, DOI record, and indexing are generated from the metadata.
- Check diacritics and name ordering — speech is a global community and the Archive preserves what you type forever.
- Keywords/index terms should use community vocabulary (the terms people search the Archive with), not project branding.
Show full SKILL.md (290 more words)Show less
Presentation planning (the part teams forget)
Accepted papers are scheduled as oral or poster; at Interspeech the mode is a program-committee packing decision, not a quality verdict. For Sydney week (27 September – 1 October 2026):
- Oral: speech slots are short (historically ~15 minutes with questions — confirm the program instructions); rehearse audio playback through the room's chain, and always carry a no-audio fallback slide with spectrograms.
- Poster: print audio QR codes linking to your (now public) sample page; a speech poster without listenable audio wastes the medium.
- Check visa lead times for the host country immediately at acceptance — Australia in 2026, Brazil in 2027.
Release checklist tied to this milestone
[ ] Camera-ready PDF uploaded, checker-clean, metadata matched
[ ] Author registration completed before the early-bird cutoff
[ ] Demo page and repository made public and linked in the paper
[ ] Preprint updated/de-anonymized now that the anonymity period ended
(cite the Interspeech version with its 10.21437 DOI once assigned)
[ ] Presentation mode confirmed; audio fallback prepared
[ ] Travel/visa started; presenting author namedRecurring camera-ready mistakes at this venue
- Restoring authors in the PDF but forgetting the portal metadata (or vice versa) — the Archive publishes the mismatch.
- Acknowledgments spilling past the references page's legal scope, or landing on page 4 and pushing content over the limit.
- Leaving
anonymous.4open.science-style review links in the final PDF instead of the permanent repository. - Missing the registration cutoff on the assumption that uploading the PDF was the whole job — the proceedings entry silently depends on a registered author.
- Citing your own paper's arXiv version in follow-ups forever because nobody recorded the 10.21437 DOI when it was assigned.
The two-week sprint, scheduled
| Day (from notification) | Task |
|---|---|
| 0–2 | Read the meta-review; list promised changes; assign one owner |
| 3–6 | Apply promised fixes; de-anonymize in the order above |
| 7–9 | Fresh-eyes proofread; PDF checker; metadata cross-check |
| 10–12 | Upload; verify the portal's stored copy; register the presenting author |
| 13–14 | Buffer for the checker rejecting fonts or margins — it happens |
Output format
[Camera-ready status] not started / drafted / uploaded / confirmed
[De-anonymization] names / acks / links / self-citations — done or pending
[Registration] type, holder, deadline vs today
[Archive metadata] match check result
[Presentation] oral or poster, rehearsal state, audio fallback
[Next hard date] <date + what it gates>The dates in this skill are the verified 2026 chain (see
resources/official-source-map.md, checked 2026-07-08); the São Paulo 2027 cycle
will replace all of them.
© 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-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Interspeech Camera Ready 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 Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| QA Acceptancepaperclipai/paperclip | 99k | — | ~964 | Automated safety check: Pass | MIT | |
| Acceptance Orchestratorsickn33/agentic-awesome-skills | 47k | 2 repos | ~943 | Automated safety check: Pass | MIT | |
| Acceptance Evidence for Deliverieslobehub/lobehub | 83k | — | ~9.7k | Automated safety check: Pass | Apache-2.0 | |
| Change, Accept or Leave Frameworkkangarooking/cangjie-skill | 11k | — | ~700 | Automated safety check: Pass | MIT | |
| Frost Sequence Camera Orbitheygen-com/hyperframes | 59k | 1 repos | ~9.6k | Automated safety check: Pass | Apache-2.0 |
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Questions about Interspeech Camera Ready
What does Interspeech Camera Ready do?
A skill your agent uses when an INTERSPEECH paper is accepted and the camera-ready, registration, and presentation chain begins — de-anonymizing for the ISCA Archive, restoring acknowledgments on…. Interspeech Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an INTERSPEECH paper is accepted and the camera-ready, registration, and presentation chain begins — de-anonymizing for the ISCA Archive, restoring acknowledgments on the references page, meeting the author-registration requirement for proceedings inclusion, DOI metadata, and oral/poster preparation for the conference week.
When should I use Interspeech Camera Ready?
Interspeech Camera Ready fits situations like: an INTERSPEECH paper is accepted and the camera-ready; presentation chain begins — de-anonymizing for the ISCA Archive; restoring acknowledgments on the references page; meeting the author-registration requirement for proceedings inclusion.
How do I install Interspeech Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-camera-ready -a claude-code`. Or copy the skill folder (INTERSPEECH-Skills/skills/interspeech-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/interspeech-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Interspeech Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill interspeech-camera-ready -a codex`. Or copy the skill folder (INTERSPEECH-Skills/skills/interspeech-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/interspeech-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Interspeech Camera Ready 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-camera-ready -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-camera-ready, .gemini/skills/interspeech-camera-ready, .github/skills/interspeech-camera-ready and .opencode/skills/interspeech-camera-ready in your project.
What does Interspeech Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Interspeech Camera Ready is instructions for the agent only.
Does Interspeech Camera Ready 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 Camera Ready 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 Camera Ready use?
Interspeech Camera Ready 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 Camera Ready use?
About 1.5k tokens (SKILL.md is roughly 5.9k 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 Camera Ready?
Skills that share tags, products or a category with Interspeech Camera Ready: QA Acceptance (paperclipai/paperclip, 99k stars), Acceptance Orchestrator (sickn33/agentic-awesome-skills, 47k stars), Acceptance Evidence for Deliveries (lobehub/lobehub, 83k stars) and Change, Accept or Leave Framework (kangarooking/cangjie-skill, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Interspeech Camera Ready?
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.