Agent skill

Nature Reviews Drug Discovery

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when targeting Nature Reviews Drug Discovery (Nat.

MITAuto-check passedResearch & Science

Install Nature Reviews Drug Discovery

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nature-reviews-drug-discovery -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills nature-reviews-drug-discovery --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/English-NaturalScience-Journal-Skills/skills/nature-reviews-drug-discovery .claude/skills/nature-reviews-drug-discovery && 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
nature-reviews-drug-discovery
GitHub stars
1.2k
Token cost
~2.3k tokens
SKILL.md length
1,038 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Nature Reviews Drug Discovery (Nat.

  • Targeting Nature Reviews Drug Discovery (Nat
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Drug discovery and cheminformatics

What it does

Nature Reviews Drug Discovery is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Nature Reviews Drug Discovery (Nat. Rev. Drug Discov.) or deciding whether a drug-discovery review or analysis fits this commissioned, authoritative review venue. Encodes the journal's fit, framing, evidence bar, house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 2.3k 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 Drug discovery and cheminformatics. 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

  • Targeting Nature Reviews Drug Discovery (Nat
  • Tasks that involve Drug discovery and cheminformatics

Example prompts

  • “/nature-reviews-drug-discovery”

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

Nature Reviews Drug Discovery loads about 2.3k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 1,038 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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). 1,038 words, ~2,273 tokens.

Download SKILL.mdSave it as .claude/skills/nature-reviews-drug-discovery/SKILL.md (or your agent's skills folder).
name
nature-reviews-drug-discovery
description
Use when targeting Nature Reviews Drug Discovery (Nat. Rev. Drug Discov.) or deciding whether a drug-discovery review or analysis fits this commissioned, authoritative review venue. Encodes the journal's fit, framing, evidence bar, house style, official-submission re-check, and desk-reject heuristics.

Nature Reviews Drug Discovery (nature-reviews-drug-discovery)

Journal positioning

Nature Reviews Drug Discovery is a Springer Nature title and the field-defining review journal for drug discovery and development. Its defining character is authoritative, commissioned synthesis: it publishes no primary research, and the great majority of content is solicited by the editors from leaders in pharmacology, medicinal chemistry, translational medicine, and pharma R&D strategy. The journal rewards reviews and analyses that frame where a therapeutic area, target class, or development paradigm stands and where it is heading — integrating mechanism, clinical evidence, pipeline landscape, and commercial and regulatory context — rather than narrow methodological updates. Readership spans academic pharmacologists, biotech and pharma scientists, clinicians, and investors. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Because most articles are commissioned, an unsolicited submission almost always begins with a pre-submission proposal. Before submitting, re-check the live author instructions on the Nature Reviews Drug Discovery site.

When to trigger

  • The author is preparing a commissioned or proposed review on a drug target, modality, therapeutic area, or aspect of pharma R&D and names this journal as the venue.
  • A manuscript synthesizes the state of drug discovery or development for a field — integrating biology, clinical data, and pipeline landscape — and the author is choosing between this journal and Nature Medicine, Nature Reviews Methods Primers, or Cell Reports Medicine.
  • The author has a primary-research drug-discovery study and needs to be redirected, because this journal publishes no original data.
  • The author needs the journal's commissioning norms, scope boundaries, and desk-reject criteria before drafting a proposal.

Scope & topic fit

  • Target and pathway reviews: the biology, druggability, and clinical translation of a target class — kinases, GPCRs, ion channels, epigenetic regulators, protein-protein interactions — across discovery and development.
  • Modality and platform reviews: small molecules, biologics, antibody-drug conjugates, cell and gene therapies, RNA therapeutics, PROTACs and targeted degraders, covering chemistry, delivery, and clinical maturity.
  • Therapeutic-area landscapes: oncology, immunology, neurology, metabolic and infectious disease — synthesizing mechanism, the development pipeline, and unmet need.
  • Drug discovery and development paradigms: AI/ML in discovery, translational biomarkers, clinical trial design innovation, drug repurposing, and the science of attrition and productivity.
  • Regulatory, R&D-strategy, and pipeline analyses: approval trends, the economics of development, and data-driven assessments of where investment and innovation are concentrated.
  • Mechanism-of-action and pharmacology reviews where the clinical-development implications are central, not incidental.

Method & evidence bar

  • The central thesis must be identifiable in one or two sentences: a clear argument about the state and trajectory of a field, not an undifferentiated catalog of papers.
  • Claims must be evidence-based and current: clinical-stage assertions should reflect the latest trial readouts and approval status, with pipeline data sourced and dated.
  • Mechanistic claims must rest on the strongest available evidence; the review should weigh conflicting findings rather than report them uncritically.
  • Figures and tables are a core deliverable: mechanism schematics, target/pipeline landscape tables, and trial-summary tables are expected to add synthesis, not merely illustrate.
  • Quantitative analyses (approval rates, attrition, pipeline counts) must state data sources, cut-off dates, and methods so the numbers are reproducible.
  • Where the review covers clinical evidence, it should reflect the relevant reporting and evidence standards (e.g., quality of underlying CONSORT-compliant trials, registration status) when appraising trial data.

Structure & house style

  • Articles are commissioned; unsolicited work normally enters through a pre-submission proposal (synopsis, outline, author expertise) that the editors evaluate before inviting a full manuscript.
  • Nature Reviews enforces defined length, display-item, and reference limits by article type (Review, Perspective, Analysis); re-check current limits on the live site.
  • The writing is authoritative and accessible to a cross-disciplinary readership; jargon is explained, and the narrative builds an argument rather than surveying exhaustively.
  • Display items carry much of the synthesis: schematic figures redrawn by the in-house art team, plus structured tables of targets, agents, and trials; authors supply clear source sketches and complete data.
  • Boxes are used for self-contained background, definitions, or methodological asides so the main text keeps its narrative line.
  • A structured summary and key-points list orient the reader; abstracts and headings follow the Nature Reviews template.
Show full SKILL.md (366 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked.
  • Search the live site for "Nature Reviews Drug Discovery for authors" / "submission guidelines" and follow the current Springer Nature version.
  • Confirm the commissioning and pre-submission-proposal process; prepare a synopsis and outline rather than a full unsolicited manuscript unless invited.
  • Re-check article-type definitions and the current word, display-item, and reference limits for Reviews, Perspectives, and Analyses.
  • Re-check competing-interests disclosure (especially industry and consulting ties), funding statements, and AI-use disclosure; confirm any data-source citation requirements for pipeline/quantitative content.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence — the central argument about the field's state and trajectory, and why the readership needs it now.
  • The work is a review/analysis, not primary research; no original experimental data are being reported as the contribution.
  • A pre-submission proposal is prepared (or a commission is in hand) rather than an unsolicited full manuscript.
  • Clinical and pipeline claims are current, sourced, and dated; quantitative figures state methods and cut-off dates.
  • Display items are planned as synthesis (landscape/trial tables, mechanism schematics) with complete underlying data for the art team.
  • Competing interests, especially industry relationships, are fully disclosed.

Common desk-reject triggers

  • A primary-research manuscript reporting original experimental or clinical data, which the journal does not publish.
  • An unsolicited full review submitted without a pre-submission proposal or editorial invitation.
  • An undifferentiated literature survey with no central argument about where the field stands or is heading.
  • A narrow, specialist update of interest only to a sub-field, lacking the cross-disciplinary significance the readership expects.
  • Pipeline or quantitative claims without sourced, dated data, or clinical assertions that ignore the latest trial readouts and approvals.

Re-routing decision

  • Primary clinical or translational research with original data on a therapy: Nature Medicine (nature-medicine).
  • A methods-focused, reproducible how-to review of a discovery or development technique: Nature Reviews Methods Primers (nature-reviews-methods-primers).
  • Primary translational or early-clinical drug studies in a medicine-focused venue: Cell Reports Medicine (cell-reports-medicine).
  • A more specialist or mechanistic review of narrower scope: a society or subfield review journal (e.g., a pharmacology- or oncology-specific review title).

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Nature Reviews Drug Discovery
[Topic tags] <2–3 closest topics>
[Method/evidence] <is there a single clear thesis on the field's state/trajectory, and is the synthesis current, sourced, and display-item-driven rather than a survey?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <commissioning/proposal process / article-type & length limits / competing-interest disclosure / pipeline-data sourcing / AI-use disclosure>
[Re-route suggestion] <if not a fit, a better-matched venue>

© 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 English-NaturalScience-Journal-Skills/skills/nature-reviews-drug-discovery of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Nature Reviews Drug Discovery 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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Biopipelineslocbp-uzh/biopipelines109—~2.4kAutomated safety check: PassMIT

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Questions about Nature Reviews Drug Discovery

What does Nature Reviews Drug Discovery do?

A skill your agent uses when targeting Nature Reviews Drug Discovery (Nat. Nature Reviews Drug Discovery is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Nature Reviews Drug Discovery (Nat.

When should I use Nature Reviews Drug Discovery?

Nature Reviews Drug Discovery fits situations like: targeting Nature Reviews Drug Discovery (Nat; tasks that involve Drug discovery and cheminformatics.

How do I install Nature Reviews Drug Discovery in Claude Code?

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

How do I install Nature Reviews Drug Discovery in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nature-reviews-drug-discovery -a codex`. Or copy the skill folder (English-NaturalScience-Journal-Skills/skills/nature-reviews-drug-discovery in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/nature-reviews-drug-discovery in your project. Codex loads it when a task matches its description.

Can I use Nature Reviews Drug Discovery 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 nature-reviews-drug-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-reviews-drug-discovery, .gemini/skills/nature-reviews-drug-discovery, .github/skills/nature-reviews-drug-discovery and .opencode/skills/nature-reviews-drug-discovery in your project.

What does Nature Reviews Drug Discovery need to run?

SKILL.md names no scripts, command-line tools or credentials: Nature Reviews Drug Discovery is instructions for the agent only.

Does Nature Reviews Drug Discovery 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 Nature Reviews Drug Discovery 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 Nature Reviews Drug Discovery use?

Nature Reviews Drug Discovery 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 Nature Reviews Drug Discovery use?

About 2.3k tokens (SKILL.md is roughly 9.1k 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 Nature Reviews Drug Discovery?

Skills that share tags, products or a category with Nature Reviews Drug Discovery: Molecode (AtomFlow-AI/MoleCode, 306 stars), Drug Discovery (Tommy-yw/RunbookHermes, 546 stars), DiffDock Molecular Docking (K-Dense-AI/scientific-agent-skills, 48k stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nature Reviews Drug Discovery?

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.