A skill your agent uses when revising an IPSN-lineage paper for a real sensing problem on the first page, a load-bearing information-processing or platform contribution, ground-truth methodology…

MITAuto-check passedWriting & Content

Install Ipsn Writing Style

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ipsn-writing-style -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ipsn-writing-style --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/IPSN-Skills/skills/ipsn-writing-style .claude/skills/ipsn-writing-style && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ipsn-writing-style
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
566 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when revising an IPSN-lineage paper for a real sensing problem on the first page, a load-bearing information-processing or platform contribution, ground-truth methodology…

  • Revising an IPSN-lineage paper for a real sensing problem on the first page
  • SKILL.md covers Revision rules, Sensor-systems paper skeleton, Sentence-level rewrites and Energy/latency/ground-truth…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • A load-bearing information-processing

What it does

Ipsn Writing Style is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when revising an IPSN-lineage paper for a real sensing problem on the first page, a load-bearing information-processing or platform contribution, ground-truth methodology, energy/latency/accuracy budgets, honest deployment reporting, double-blind wording, and disciplined use of the ≤12-page ACM two-column budget.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Brand voice and tone and Deployment. 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

  • Revising an IPSN-lineage paper for a real sensing problem on the first page
  • A load-bearing information-processing
  • Platform contribution
  • Ground-truth methodology

Example prompts

  • “/ipsn-writing-style”

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

Ipsn Writing Style loads about 1.4k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 566 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 566 words, ~1,361 tokens.

Download SKILL.mdSave it as .claude/skills/ipsn-writing-style/SKILL.md (or your agent's skills folder).
name
ipsn-writing-style
description
Use when revising an IPSN-lineage paper for a real sensing problem on the first page, a load-bearing information-processing or platform contribution, ground-truth methodology, energy/latency/accuracy budgets, honest deployment reporting, double-blind wording, and disciplined use of the ≤12-page ACM two-column budget.

IPSN Writing Style

Use this when revising the main paper. IPSN papers are read by sensor-systems and information-processing reviewers, so they need a real sensing problem on the first page and evidence measured on real hardware against ground truth. The failure this skill prevents is a technically fine paper that reads like an offline ML result, or a hardware report with no measured trade-off.

Revision rules

  • Lead with the sensing problem and its physical budget: the phenomenon being sensed, why current sensing/processing is inadequate, the contribution (an estimator/inference method and/or a platform), the real-hardware evidence, and the energy/latency/accuracy budget that makes it deployable.
  • Make the information processing load-bearing (IP track). State the estimator, inference, or learning method precisely enough to re-implement, and tie it to a quantity that matters (error bound, joules, bits, latency) — not just "accuracy improved."
  • Make the platform reusable and measured (SPOTS track). Give the MCU/SoC, sensor, radio, and toolchain, and justify design choices with measured power, timing, and robustness — a datasheet is not a contribution.
  • Pair every claim with proportional, real-hardware evidence — a measured energy number, a ground-truth-referenced accuracy, a deployment yield — not adjectives.
  • Report deployments honestly. Yield, synchronization error, packet loss, and energy as measured; an idealized deployment reads as a tell.
  • Respect the ≤12-page ACM two-column budget as a design constraint; a paper that only fits by cutting the measurement setup or the limits is over-scoped.
  • Maintain double-blind in self-citations, tool/testbed names, board photos, acknowledgements, funding, and dataset links.

Sensor-systems paper skeleton

SectionJob it must doCommon failure
IntroSensing problem, inadequacy, contribution, real-hardware evidence preview, budget — first pageLeads with a model/technology trend, not a sensing problem
BackgroundThe modality, the platform constraints, why this is hard physicallyMotivation by assertion; no physical grounding
Method / SystemThe estimator/inference (IP) or the platform/tool (SPOTS), reproduciblyMethod too thin to re-implement; platform under-specified
EvaluationEach claim answered with measured, ground-truth evidenceSimulation or offline accuracy standing in for on-device/in-field results
Energy/latency budgetJoules, memory, timing as measured on the real platform"Feasible on embedded devices" with no numbers
Limits / threatsSite-specificity, generalization, calibration drift, boundedGeneric paragraph untethered from this system
Related workDelta-first against the sensing literatureCitation catalog with no contrast
Show full SKILL.md (197 more words)Show less

Sentence-level rewrites

Draft patternIPSN-safe rewrite
"Our method significantly improves accuracy.""reduces localization error to X m (95% CI ...) vs <baseline> on <N real traces>"
"It is energy-efficient.""consumes X µJ per inference on <MCU> at <clock>, measured on an instrumented rail (Table 2)"
"We deploy it in the real world.""deployed <N> nodes for <duration>; packet yield Y%, sync error < Z µs (Fig. 4)"
"Runs in real time on embedded devices.""end-to-end latency X ms on <SoC>; fits <RAM/flash> footprint"
"The model detects the event well.""detection rate D at F false alarms/hour on hand-labeled field audio, per site"

Energy/latency/ground-truth discipline

text
[Energy]     joules or µJ per operation, measured (rail/shunt/instrument named), not estimated
[Latency]    end-to-end timing on the real SoC/MCU at a stated clock; number of runs
[Footprint]  RAM/flash used vs available; where the model/pipeline had to shrink
[Ground truth] the reference (labels, co-located instrument, surveyed positions) and its own error
[Limits]     site-specificity / calibration drift / generalization -> stated next to the result

Vignette: compressing a deployment paper

A draft with a long system tour, six figures, and a thin evaluation: keep the system description at the level needed to reproduce, the two figures that carry the energy and yield story, a per-site false-alarm table, and a limits subsection; move the full protocol and secondary plots to the artifact with forward references. The test of a good cut: a reviewer should be able to answer "what was measured, on what hardware, against what ground truth, and how well did it hold up?" from the body alone.

Output format

text
[Writing diagnosis] clear / under-motivated / over-claimed / evidence-mismatched / over-scoped
[First-page fix] <new framing leading with the sensing problem and its budget>
[Claim audit] <claim -> measured evidence -> on real hardware / ground truth? yes/no>
[Budget check] <energy / latency / footprint reported? where>
[Anonymity edits] <tool/testbed names / board photos / self-citations / dataset links to fix>

© 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 IPSN-Skills/skills/ipsn-writing-style of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ipsn Writing Style 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.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ipsn Writing Style this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
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Narrative Enablement Kitaaron-he-zhu/aaron-marketing-skills2.9k—~3.4kAutomated safety check: PassApache-2.0
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
BrandOhh-889/skyroc79513 repos~733Automated safety check: PassMIT
Khazix WeChat Article WriterKKKKhazix/khazix-skills21k1 repos~2.9kAutomated safety check: PassMIT

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Questions about Ipsn Writing Style

What does Ipsn Writing Style do?

A skill your agent uses when revising an IPSN-lineage paper for a real sensing problem on the first page, a load-bearing information-processing or platform contribution, ground-truth methodology…. Ipsn Writing Style is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when revising an IPSN-lineage paper for a real sensing problem on the first page, a load-bearing information-processing or platform contribution, ground-truth methodology, energy/latency/accuracy budgets, honest deployment reporting, double-blind wording, and disciplined use of the ≤12-page ACM two-column budget.

When should I use Ipsn Writing Style?

Ipsn Writing Style fits situations like: revising an IPSN-lineage paper for a real sensing problem on the first page; A load-bearing information-processing; platform contribution; ground-truth methodology.

How do I install Ipsn Writing Style in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ipsn-writing-style -a claude-code`. Or copy the skill folder (IPSN-Skills/skills/ipsn-writing-style in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ipsn-writing-style in your project. Claude Code loads it when a task matches its description.

How do I install Ipsn Writing Style in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ipsn-writing-style -a codex`. Or copy the skill folder (IPSN-Skills/skills/ipsn-writing-style in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ipsn-writing-style in your project. Codex loads it when a task matches its description.

Can I use Ipsn Writing Style 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 ipsn-writing-style -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ipsn-writing-style, .gemini/skills/ipsn-writing-style, .github/skills/ipsn-writing-style and .opencode/skills/ipsn-writing-style in your project.

What does Ipsn Writing Style need to run?

SKILL.md names no scripts, command-line tools or credentials: Ipsn Writing Style is instructions for the agent only.

Does Ipsn Writing Style 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 Ipsn Writing Style 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 Ipsn Writing Style use?

Ipsn Writing Style 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 Ipsn Writing Style use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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 Ipsn Writing Style?

Skills that share tags, products or a category with Ipsn Writing Style: Vss Search Archive (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars), Narrative Enablement Kit (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars) and Brand (Ohh-889/skyroc, 795 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ipsn Writing Style?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.