A skill your agent uses when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad…

MITAuto-check passedBusiness, Finance & HR

Install Sci Framing

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sci-framing -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sci-framing --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/Science-Skills/skills/sci-framing .claude/skills/sci-framing && 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
sci-framing
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
643 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad…

  • Works in 3 steps: The gap that matters broadly — what the… → Why it has been hard / why now — the… → What we did and found — the advance, in…
  • Seeds the title
  • SKILL.md covers When to trigger, The one-sentence advance, Science introduction shape (≈3… and The "why now" checklist, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sci Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad advance rather than the background, and seeds the title, abstract, and cover letter.

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 Business, Finance & HR, covering Resume and CV writing. 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

  • Seeds the title
  • Tasks that involve Resume and CV writing

Example prompts

  • “why now”
  • “/sci-framing”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. The gap that matters broadly — what the community has been unable to do/explain, stated so a non-specialist grasps the stakes. One…
  2. Why it has been hard / why now — the obstacle, and what (new tool, idea, dataset, scale) finally makes it tractable. This is the "why now"…
  3. What we did and found — the advance, in plain terms, ending on the broad implication. The reader should know your result before the…

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

Sci Framing loads about 1.4k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 643 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
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). 643 words, ~1,360 tokens.

Download SKILL.mdSave it as .claude/skills/sci-framing/SKILL.md (or your agent's skills folder).
name
sci-framing
description
Use when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad advance rather than the background, and seeds the title, abstract, and cover letter.

Advance Framing (sci-framing)

When to trigger

  • The science is solid but the manuscript reads like a lab report.
  • The introduction opens with three paragraphs of background before the contribution.
  • Reviewers/colleagues say "so what?" or "I don't see what's new."
  • You can state the result but not the lesson.

The one-sentence advance

Force the entire paper into a single sentence of the form:

"We show that [surprising, general claim], which means [consequence for a broad field]."

If you cannot fill both brackets without jargon, the framing is not ready. This sentence seeds the one-sentence summary (sci-abstract), the cover letter (sci-cover-letter), and the last line of the intro.

Science introduction shape (≈3 short paragraphs)

  1. The gap that matters broadly — what the community has been unable to do/explain, stated so a non-specialist grasps the stakes. One paragraph, not a literature dump.
  2. Why it has been hard / why now — the obstacle, and what (new tool, idea, dataset, scale) finally makes it tractable. This is the "why now" that journalists and editors look for.
  3. What we did and found — the advance, in plain terms, ending on the broad implication. The reader should know your result before the Results section.

The "why now" checklist

Editors favor work that is timely. Name explicitly which applies:

  • A new method/instrument made the impossible measurable.
  • A new dataset/scale reached a threshold that changes conclusions.
  • A field-wide controversy is ripe for resolution.
  • A theoretical prediction is now testable.
  • A real-world event (pandemic, climate milestone) makes it urgent.

If none apply, the work may be correct but not Science-timely → revisit sci-fit.

Worked micro-rewrite: opening paragraph

Before (background-first, field-internal):

"The Wnt signaling pathway has been extensively studied since its

  • Declarative and specific beats vague and grand. "X regulates Y by Z" > "Insights into the regulation of Y."
  • Avoid "Towards", "A study of", "Investigating", "Novel".
  • Keep it parseable by a non-specialist; the noun phrase should carry the advance.
  • Science titles are short (often < 90 characters). No question marks unless the question is the point.

Narrative anti-frames (rewrite these)

Anti-frameReframe
"We applied method M to system S.""We discovered that S does X — revealed by M."
"Little is known about…""Whether [specific question] has been unresolved because…"
"Our results are consistent with…""Our results decide between competing models, favoring…"
Chronological lab-notebook orderLogical order toward the single claim
Show full SKILL.md (256 more words)Show less

Worked example: reframing a solid-but-narrow result

Raw finding: a new cryo-EM structure of a bacterial transporter, resolved at 2.9 Å, showing an unexpected occluded state.

  • Method-led (rejectable) frame: "We determined the structure of transporter T by cryo-EM and observed a new conformation." — a specialist result; a physicist would not read it.
  • Advance-led (Science-shaped) frame: "We show that transporter T captures substrate through a previously unseen occluded state, revealing a general gating mechanism shared across the superfamily — which means models of secondary active transport must include an intermediate step." — the claim now generalizes beyond one protein and carries a lesson for the whole field.

The move is not spin: the occluded state and the superfamily conservation must be in the data. Framing surfaces the general claim the evidence already supports; it never manufactures one (if it would, return to sci-fit).

Editor/referee expectation checklist for framing

  • The first 150 words contain the advance, stated so a non-specialist grasps the stakes.
  • The "why now" is explicit and matches one of the five triggers below — editors screen for timeliness.
  • The general claim is demonstrated by a specific result, not asserted in the closing paragraph.
  • The title is declarative and parseable by an outside-field editor.
  • No superlatives doing the work that data should ("unprecedented", "paradigm-shifting").

Output format

【One-sentence advance】 "We show that ... which means ..."
【Why-now trigger】 which of the 5 applies
【Intro 3-paragraph skeleton】 gap / why-now / advance+implication
【Working title】 declarative, < 90 chars
【Risk】 is the implication demonstrated or asserted? (link back to sci-fit if asserted)
【Next】 sci-writing

Anti-patterns

  • Do not bury the advance below the fold; the broad claim belongs in the first 150 words.
  • Do not inflate with "novel/unprecedented/paradigm-shifting" — show, don't label.
  • Do not frame around the method when the discovery is the point (method-led framing is for methods journals).

© 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 Science-Skills/skills/sci-framing of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Sci Framing 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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Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.3kAutomated safety check: PassMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence
Job Application AssistantMadsLorentzen/ai-job-search45k1 repos~1.2kAutomated safety check: NotesMIT
Resume Tailoringvarunr89/resume-tailoring-skill7661 repos~8.9kAutomated safety check: PassMIT

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Questions about Sci Framing

What does Sci Framing do?

A skill your agent uses when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad…. Sci Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad advance rather than the background, and seeds the title, abstract, and cover letter.

When should I use Sci Framing?

Sci Framing fits situations like: seeds the title; tasks that involve Resume and CV writing.

How do I install Sci Framing in Claude Code?

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

How do I install Sci Framing in Codex?

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

Can I use Sci Framing 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 sci-framing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sci-framing, .gemini/skills/sci-framing, .github/skills/sci-framing and .opencode/skills/sci-framing in your project.

What does Sci Framing need to run?

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

Does Sci Framing 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 Sci Framing 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 Sci Framing use?

Sci Framing 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 Sci Framing 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 Sci Framing?

Skills that share tags, products or a category with Sci Framing: Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars), Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars) and Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sci Framing?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.