Astropy
zLanqing/codex-claude-academic-skills
Comprehensive Python library for astronomy and astrophysics.
A skill your agent uses when a Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp.
Install Ngeo Results Framing
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-results-framing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-results-framing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Nature-Geoscience-Skills/skills/ngeo-results-framing .claude/skills/ngeo-results-framing && rm -rf skills-srcUse ~/.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/
Install the "ngeo-results-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-results-framing into .claude/skills/ngeo-results-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-results-framing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-results-framingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-results-framing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-results-framing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Nature-Geoscience-Skills/skills/ngeo-results-framing .agents/skills/ngeo-results-framing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ngeo-results-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-results-framing into .agents/skills/ngeo-results-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-results-framing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-results-framing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-results-framing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Nature-Geoscience-Skills/skills/ngeo-results-framing .cursor/skills/ngeo-results-framing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ngeo-results-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-results-framing into .cursor/skills/ngeo-results-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-results-framing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Nature-Geoscience-Skills/skills/ngeo-results-framing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-results-framing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-results-framing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Nature-Geoscience-Skills/skills/ngeo-results-framing .gemini/skills/ngeo-results-framing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ngeo-results-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-results-framing into .gemini/skills/ngeo-results-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-results-framing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-results-framingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-results-framing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Nature-Geoscience-Skills/skills/ngeo-results-framing .github/skills/ngeo-results-framing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ngeo-results-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-results-framing into .github/skills/ngeo-results-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-results-framing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-results-framing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-results-framing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Nature-Geoscience-Skills/skills/ngeo-results-framing .opencode/skills/ngeo-results-framing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ngeo-results-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-results-framing into .opencode/skills/ngeo-results-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-results-framing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ngeo-results-framing- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 641 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when a Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp.
- Works in 5 steps: Background / why the question matters —… → The gap or controversy — what was… → "Here we show ..." — the headline… → …
- A Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp
- SKILL.md covers When to trigger, The one-advance discipline, The abstract: the "Here we… and The opening (first paragraphs…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ngeo Results Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when a Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp. Structures the one-advance narrative and the "Here we show" abstract; does not run analysis or design figures.
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 Research & Science, covering Physical and earth sciences. 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
- A Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp
- Tasks that involve Physical and earth sciences
Example prompts
- “Here we show”
- “/ngeo-results-framing”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Background / why the question matters — one to three sentences a non-specialist Earth scientist grasps.
- The gap or controversy — what was unknown, unresolved, or assumed.
- "Here we show ..." — the headline advance, stated plainly with the key quantitative result and its uncertainty.
- Mechanism / interpretation — what the result means physically.
- Broad implication — the consequence for the wider Earth system or a neighboring field.
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
Ngeo Results Framing loads about 1.4k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 641 words of instructions outside code blocks.
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). 641 words, ~1,399 tokens.
Download SKILL.mdSave it as
.claude/skills/ngeo-results-framing/SKILL.md (or your agent's skills folder).- name
- ngeo-results-framing
- description
- Use when a Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp. Structures the one-advance narrative and the "Here we show" abstract; does not run analysis or design figures.
Nature Geoscience Results Framing (ngeo-results-framing)
When to trigger
- You have the data/model output but the "so what for the Earth system" is fuzzy
- The draft reads like a chronological expedition or model-run report, not a single argument
- You have several findings and have not chosen the headline one
- The opening buries the result under a literature or regional-setting tour
ngeo-scope-fitreturned a Nature Geoscience verdict but flagged the breadth framing as weak
The one-advance discipline
A Nature Geoscience Article makes one headline advance. Everything else is support. Decide the headline result first; demote the rest to corroboration, to the online Methods, or to Supplementary Information.
- Primary advance — the single sentence the title and abstract both encode, phrased as what the Earth system does, not what you measured.
- Supporting results — at most two or three, and only if they reinforce the primary one.
- Everything else — regional context, extended sensitivity tests, secondary proxies → SI (see
ngeo-supplementary).
If you have two co-equal advances, you likely have two papers, or one belongs in a community journal.
The abstract: the "Here we show" convention
Nature abstracts follow a recognizable arc and are capped at 200 words, unreferenced (verify). The house pattern:
- Background / why the question matters — one to three sentences a non-specialist Earth scientist grasps.
- The gap or controversy — what was unknown, unresolved, or assumed.
- "Here we show ..." — the headline advance, stated plainly with the key quantitative result and its uncertainty.
- Mechanism / interpretation — what the result means physically.
- Broad implication — the consequence for the wider Earth system or a neighboring field.
Lead into the advance with the literal "Here we show" (or a close equivalent); Nature editors and readers expect it, and it forces finding-first framing.
The opening (first paragraphs carry the gate)
The main-text opening front-loads significance, not setting. A reliable arc:
- The Earth-system context — one or two sentences on the first-order process at stake.
- The open question / controversy — the specific unknown, framed as a scientific problem, not a regional description.
- What this study shows — the headline advance with the key number.
- Why it matters across the field — the cross-disciplinary consequence.
Do not open with the study region's geography or a paragraph of instrument history. The advance should be legible within the first paragraph.
Show full SKILL.md (262 more words)Show less
Framing decision branches
| Symptom | Move |
|---|---|
| Two co-equal headline advances | Split, or demote one to support / SI |
| Result stated only operationally ("we measured X") | Reframe as the Earth-system conclusion it implies |
| Significance asserted, not shown | Tie it to a first-order question or a prior belief it changes |
| Regional setting dominates the opening | Cut to 1–2 sentences; move detail to Methods / SI |
| Abstract lists methods before findings | Reorder: "Here we show ..." first, method as an enabling clause |
| Overreaching climate/impact claim | Calibrate to what the evidence and uncertainty license |
Checklist
- Exactly one primary advance, expressible in one sentence
- Title (≤ ~90 characters) encodes the advance, not just the topic or region
- Abstract uses "Here we show" and leads with the finding + its uncertainty
- Abstract is unreferenced and within the ~200-word limit
- Opening reaches the result within the first paragraph or two
- Significance is tied to a first-order question or belief it changes
- Interpretation (mechanism) is stated, not just the observation
- Supporting results (≤3) genuinely reinforce the primary one
Anti-patterns
- A "kitchen-sink" Article that reports every measurement the campaign produced
- Operational framing ("we observe X in region Y") with no mechanistic interpretation
- Significance claims that overreach beyond the data and its uncertainty
- An abstract that is a methods or fieldwork summary rather than a result statement
- A title naming the region and method instead of the advance
- Saving the punchline for a "conclusions" paragraph the reader may never reach
Output format
【Primary advance】one sentence (Earth-system framing)
【Title】≤ ~90 chars, encodes the advance? yes / fix
【Abstract】"Here we show" + finding + uncertainty, ≤200 words, unreferenced?
【Opening moves】context / gap / advance / broad significance — all present?
【Supporting results】≤3, each justified
【Demoted to Methods / SI】list
【Next】ngeo-methods (grounding) or ngeo-figures (lead figure)Abstract and title conventions are durable; verify the current word/character limits and the "Here we show" guidance on the official Nature Geoscience author pages (Checked: 2026-07-16).
© 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 Nature-Geoscience-Skills/skills/ngeo-results-framing of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Ngeo Results 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ngeo Results Framing this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| AstropyzLanqing/codex-claude-academic-skills | 4.7k | 13 repos | ~2.9k | Automated safety check: Pass | BSD-3-Clause | |
| PymatgenzLanqing/codex-claude-academic-skills | 4.7k | 11 repos | ~5k | Automated safety check: Pass | MIT | |
| Cantera Ignition DelayK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Weathertrpc-group/trpc-agent-go | 1.9k | 8 repos | ~591 | Automated safety check: Pass | Apache-2.0 | |
| Pymol VisualizationChatMol/ChatMol | 373 | — | ~1.2k | Automated safety check: Pass | MIT |
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Questions about Ngeo Results Framing
What does Ngeo Results Framing do?
A skill your agent uses when a Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp. Ngeo Results Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when a Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp.
When should I use Ngeo Results Framing?
Ngeo Results Framing fits situations like: A Nature Geoscience result is correct but its headline advance and cross-disciplinary significance are not yet sharp; tasks that involve Physical and earth sciences.
How do I install Ngeo Results Framing in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-results-framing -a claude-code`. Or copy the skill folder (Nature-Geoscience-Skills/skills/ngeo-results-framing in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ngeo-results-framing in your project. Claude Code loads it when a task matches its description.
How do I install Ngeo Results Framing in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-results-framing -a codex`. Or copy the skill folder (Nature-Geoscience-Skills/skills/ngeo-results-framing in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ngeo-results-framing in your project. Codex loads it when a task matches its description.
Can I use Ngeo Results 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 ngeo-results-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/ngeo-results-framing, .gemini/skills/ngeo-results-framing, .github/skills/ngeo-results-framing and .opencode/skills/ngeo-results-framing in your project.
What does Ngeo Results Framing need to run?
SKILL.md names no scripts, command-line tools or credentials: Ngeo Results Framing is instructions for the agent only.
Does Ngeo Results 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 Ngeo Results 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 Ngeo Results Framing use?
Ngeo Results 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 Ngeo Results Framing use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 Ngeo Results Framing?
Skills that share tags, products or a category with Ngeo Results Framing: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ngeo Results Framing?
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.