sensys-writing-style
Use when drafting or revising a SenSys paper's abstract, introduction, and system sections — building the sensing-pain to mechanism to measured-behavior arc inside the double-column limit, putting the buildable system on the first page, reporting energy and latency as numbers not adjectives, and pairing every claim with a measurement.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sensys-writing-style --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 Writing Style A SenSys paper reads as an engineer's argument: here is a sensing or embedded problem that hurts in a specific way, here is why existing systems fail on constrained hardware, here is the mechanism I built, and here is its measured behavior. The house style rewards concreteness — energy in joules, latency in a distribution, uptime in days — and penalizes the adjective ("light
What does the sensys-writing-style skill do?
Use when drafting or revising a SenSys paper's abstract, introduction, and system sections — building the sensing-pain to mechanism to measured-behavior arc inside the double-column limit, putting the buildable system on the first page, reporting energy and latency as numbers not adjectives, and pairing every claim with a measurement.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sensys-writing-style --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.