tacas-camera-ready
Use when preparing an accepted TACAS (ETAPS) paper for its Springer LNCS camera-ready, covering de-anonymization of a double-blind research paper, the llncs.cls format and LNCS metadata (ORCID, references, the Springer copyright/consent-to-publish form), the gold-open-access CC-BY licensing, integrating reviewer-required changes without scope creep, permanentizing artifact links, and adding earned ETAPS artifact badges to the title page.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill tacas-camera-ready --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# TACAS Camera Ready Use this after acceptance. TACAS papers publish in **Springer LNCS** as a **gold-open-access (CC-BY)** volume, so the camera-ready is an LNCS production step with a Springer rights form, not just a formatting pass. Reopen the current LNCS author instructions, the acceptance email, and the ETAPS/TACAS artifact and registration pages before advising. ## Camera-ready audit - **De
What does the tacas-camera-ready skill do?
Use when preparing an accepted TACAS (ETAPS) paper for its Springer LNCS camera-ready, covering de-anonymization of a double-blind research paper, the llncs.cls format and LNCS metadata (ORCID, references, the Springer copyright/consent-to-publish form), the gold-open-access CC-BY licensing, integrating reviewer-required changes without scope creep, permanentizing artifact links, and adding earned ETAPS artifact badges to the title page.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill tacas-camera-ready --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.