Agent skill · Media & Video

advmat-results-framing

Use when an Advanced Materials result is sound but its central advance and significance are not yet sharp, or when a Communication's opening paragraph must double as its abstract. Structures the one-advance narrative; does not run characterization or design figures.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill advmat-results-framing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Advanced-Materials-Skills/skills/advmat-results-framing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Advanced Materials Results Framing (advmat-results-framing) ## When to trigger - You have the data but the "why this is an advance" is fuzzy - The draft reads like a chronological synthesis-then-characterization log, not one argument - You have several results and have not chosen the headline advance - You are writing a Communication and must fold the abstract into the opening paragraph - `advma

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About this skill
What does the advmat-results-framing skill do?

Use when an Advanced Materials result is sound but its central advance and significance are not yet sharp, or when a Communication's opening paragraph must double as its abstract. Structures the one-advance narrative; does not run characterization or design figures.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill advmat-results-framing --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.

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