sigir-workflow
Use when planning a SIGIR project calendar — backward-planning from the January-pattern abstract/paper deadlines to the July conference, sequencing evidence freeze, significance testing, and anonymization, coordinating multi-track decisions, and wiring the SIGIR/ECIR/CIKM/WSDM/SIGIR-AP fallback calendar into one pipeline.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigir-workflow --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.
# SIGIR Workflow SIGIR is an annual single-cycle venue with a distinctive rhythm: recent editions put the full-paper deadline in mid-January (2025: abstract Jan 16, paper Jan 23; 2026 trackers reported Jan 15/22 — exact dates 待核实 on the current Key Dates page), notification in early spring, camera-ready in late April (Apr 29, 2026 verified for Resources/LRE), and the conference in July (2026: July
What does the sigir-workflow skill do?
Use when planning a SIGIR project calendar — backward-planning from the January-pattern abstract/paper deadlines to the July conference, sequencing evidence freeze, significance testing, and anonymization, coordinating multi-track decisions, and wiring the SIGIR/ECIR/CIKM/WSDM/SIGIR-AP fallback calendar into one pipeline.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigir-workflow --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.