sensys-workflow
Use when planning a SenSys campaign against the two-deadline calendar — deciding which deadline to target and which edition it feeds, backward-scheduling so energy campaigns and long-term deployments finish before freeze, budgeting time for the resubmission-with-revision path, and sequencing fit, building, writing, and submission.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sensys-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.
# SenSys Workflow A SenSys campaign is governed by two facts the calendar imposes: SenSys runs **two submission deadlines per cycle**, and its evidence is **physical**, so the schedule is dominated by wall-clock time you cannot compress — a 47-day deployment takes 47 days. This skill turns the cycle into a backward schedule that leaves room for the measurements and, if needed, the resubmission. ##
What does the sensys-workflow skill do?
Use when planning a SenSys campaign against the two-deadline calendar — deciding which deadline to target and which edition it feeds, backward-scheduling so energy campaigns and long-term deployments finish before freeze, budgeting time for the resubmission-with-revision path, and sequencing fit, building, writing, and submission.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sensys-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.