Creator · Yuan1z0825
Last updated · Sep 2, 2026
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles
Creator · Yuan1z0825
Last updated · Sep 2, 2026
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles
Creator · Yuan1z0825
Last updated · Sep 2, 2026
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles
Creator · Yuan1z0825
Last updated · Sep 2, 2026
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles
Review then install
Install targets
Codex install prompt
Install the "nature-writing" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-writing. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-nature-skills-nature-writing","task":"Install nature-writing","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-writing
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
39K
100/100 Quality · 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The skill depends on external shared files (../nature-shared/core/*) that are not included in the submitted skill directory. This may break standalone usage if the repository structure is not preserved.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-writing
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill nature-writingDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-skills-nature-writing/install
Agent should check
Copy prompt
Task: Use nature-writing in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-skills-nature-writing/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-writing
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-nature-skills-nature-writing/install
LLM text format
/api/skills/yuan1z0825-nature-skills-nature-writing/install?format=text
Find alternatives
/api/skills/search?q=nature-writing&limit=3
Agent prompt
Use nature-writing for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-skills-nature-writing/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-writingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-nature-skills-nature-writing
LLM text
/api/registry/manifest/yuan1z0825-nature-skills-nature-writing?format=text
Install alias
/api/registry/install/yuan1z0825-nature-skills-nature-writing
Recommend
/api/registry/recommend?task=Use%20nature-writing%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: nature-writing description: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人. ---
# Nature-Style Scientific Writing — Router
This skill is split into two layers:
- A **static layer** under `static/` that holds versioned, reusable content fragments (core stance + workflow, paper-type playbooks, per-section drafting guidance, initial-submission guidance, language-specific rules, per-journal style). - A **dynamic layer** (this file plus `manifest.yaml`) that detects the request's axes and loads only the fragments needed for the current job.
Do not try to apply the drafting logic from memory or from this router. Always load fragments from disk as described below.
## Routing protocol
Follow these five steps every time the skill is invoked.
### 1. Load the manifest and the core layer
Read [manifest.yaml](manifest.yaml). It declares the axes (`task`, `paper_type`, `section`, `language`, `journal`), the allowed values, and the file paths each value maps to.
Also read every file listed under `always_load`. These hold the default stance, writing workflow, and output format that apply to every drafting job.
### 2. Detect the axis values for this request
For each axis in the manifest, decide the value using the manifest's `detect:` hint and the user's input:
- `task` — manuscript / submission-package. Use `submission-package` for first-submission materials, never for revision correspondence. - `paper_type` — research / methods / hypothesis / algorithmic / review. Default: research. - `section` — abstract / intro / related-work / method / experiments / discussion / conclusion / title. May be multiple. Ask the user if it is ambiguous and matters for the draft. - `language` — en or zh-to-en. Detect from the user's notes themselves. - `journal` — nature / nature-family / nat-comms / nat-mach-intell / generic. Default: generic. Use `nature` only for the flagship journal Nature, `nat-comms` for Nature Communications, `nat-mach-intell` for Nature Machine Intelligence (NMI), and `nature-family` for other Nature Portfolio titles or an unspecified Nature-family request.
State the detected axis values in one short line to the user before drafting, so they can correct you cheaply.
### 3. Load the matching fragments
For each axis value, Read the file mapped in the manifest. Skip the `section` axis when the task is `submission-package` or when the user explicitly asks for a free-floating argument paragraph with no section context.
Do **not** read every fragment in `static/`. Load only what step 2 selected.
### 4. Draft using the loaded material
Apply the loaded fragments in this priority order:
1. Core stance + intake (`core/stance.md`) — surface missing claim / evidence / boundary before drafting. 2. Paper-type playbook — argument chain, drafting order. 3. Section-specific drafting rules and structure. 4. Task-specific submission rules when `task=submission-package`. 5. Journal-specific framing and constraints. 6. Language-specific sentence and paragraph rules (apply last).
For `task=manuscript`, run the workflow in `core/workflow.md` end-to-end. Do not skip planning just because the user asked for prose immediately.
When drafting or restructuring Results, or compressing a full manuscript's main text, also load `../nature-shared/core/main-text-discipline.md` before building the paragraph map. Classify every result by function, allocate it across main text, captions, Methods/source data, and SI, then draft the shortest sufficient evidence chain. Do not equate a complete analysis record with a complete main text.
When the target is flagship Nature, Nature Communications, Nature Machine Intelligence, or another Nature Portfolio title, load the matching shared Nature-style corpus guidance for the section being drafted:
- Results or Discussion → `../nature-shared/core/nature-results-discussion.md` - Introduction or whole-manuscript narrative → `../nature-shared/core/nature-introduction.md` - Abstract → `../nature-shared/core/nature-abstract.md`
Use these files for claim escalation, question-chain alignment, discovery-centred compression, and synthesis. They were initially distilled from published NMI papers and generalized as Nature-style defaults; do not present them as official policy, and let the target journal's current rules override them.
For any Discussion drafting, restructuring, or section audit, also load `../nature-shared/core/discussion-argument-language.md`. Use it to select the opening anchor, control the reverse-funnel expansion, distinguish literature positioning from citation decoration, calibrate modal strength to evidence, and turn limitations and future work into claim-specific reasoning. This is general writing guidance rather than an official journal rule.
For `task=submission-package`, follow `static/fragments/task/submission-package.md` and `references/submission-package.md` instead. Build the deliverable matrix and readiness audit; do not force manuscript paragraph architecture onto administrative submission materials.
If essential evidence or boundary is missing, write a placeholder and list it under `Assumptions or missing inputs:` instead of inventing content.
### 5. Reach for references only when needed
The files under `references/` are deep references and the example library, not defaults. Open them on demand per the `references.on_demand` table in the manifest. Typical triggers:
- The user asks for a concrete example or template → `references/examples/index.md`. - A section's draft has structural problems that the section fragment alone does not explain → the matching `references/<section>.md`. - The user needs a broad-audience `Nature` abstract opening or asks about a `summary paragraph` → `references/nature-summary-paragraph.md`. - The user asks "does this paragraph flow?" → `references/paragraph-flow.md`. - The user asks for a self-review or rejection-risk audit → `references/paper-review.md`. - The user asks what belongs in the main text, captions, or SI; wants a shorter Results section; or is adding reviewer-driven explanation → `../nature-shared/core/main-text-discipline.md`. - The user requests a complete first-submission package, templates, or a submission-readiness audit → `references/submission-package.md`. - The target is the flagship journal Nature and exact submission or formatting requirements matter → `../nature-shared/journal-formats/nature.md`. - The target is Nature Machine Intelligence and exact content-type, submission, data/code or production requirements matter → `../nature-shared/journal-formats/nature-machine-intelligence.md`. - Any Nature / Nature Portfolio target needs Results claim progression, evidence-bound interpretation, robustness placement, or Discussion synthesis → `../nature-shared/core/nature-results-discussion.md`. - Any target needs a Discussion function chain, evidence-calibrated modal language, claim-specific limitations, non-redundant literature positioning, or uncertainty-driven future work → `../nature-shared/core/discussion-argument-language.md`. - Any Nature / Nature Portfolio target needs an Introduction funnel, exact gap, literature logic, question-first novelty, study roadmap, or alignment with Results → `../nature-shared/core/nature-introduction.md`. - Any Nature / Nature Portfolio target needs abstract evidence-chain, main/supporting-claim, numeric-result, or final-payoff decisions → `../nature-shared/core/nature-abstract.md`. - The work involves regulated or specialist research compliance → `../nature-shared/core/research-compliance.md`.
## Submission boundary
- `nature-writing` owns **initial submission** materials prepared before peer review. - `nature-response` owns revision cover letters, rebuttals, point-by-point responses, marked manuscripts, appeals, and other post-decision correspondence. - Route graphical abstracts and TOC graphics to `nature-figure`; route simulated pre-submission peer review to `nature-reviewer`.
## Why this split
- The static layer is versioned and reviewable. Adding a new journal style, paper type, or section is one new file plus one manifest line. - The dynamic layer keeps each invocation cheap: only the fragments relevant to this draft enter context, instead of the full multi-thousand-line reference set. - The router itself is short on purpose. Update fragments, not this file, when adding scope. - This structure mirrors `nature-polishing` so shared content can later be lifted into a `nature-shared/` layer used by both skills.
Decision snapshot
38,675 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for nature-writing, ready for a manual X post.
A practical pick for a web workflow: nature-writing: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims,... 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=x
Listing + install path for nature-writing: https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-writing
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Agent submitted listing is attributed to Yuan1z0825 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "nature-writing" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-writing. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-nature-skills-nature-writing","task":"Install nature-writing","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-writing
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
39K
100/100 Quality · 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The skill depends on external shared files (../nature-shared/core/*) that are not included in the submitted skill directory. This may break standalone usage if the repository structure is not preserved.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-writing
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill nature-writingDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-skills-nature-writing/install
Agent should check
Copy prompt
Task: Use nature-writing in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-skills-nature-writing/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-writing
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-nature-skills-nature-writing/install
LLM text format
/api/skills/yuan1z0825-nature-skills-nature-writing/install?format=text
Find alternatives
/api/skills/search?q=nature-writing&limit=3
Agent prompt
Use nature-writing for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-skills-nature-writing/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-writingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-nature-skills-nature-writing
LLM text
/api/registry/manifest/yuan1z0825-nature-skills-nature-writing?format=text
Install alias
/api/registry/install/yuan1z0825-nature-skills-nature-writing
Recommend
/api/registry/recommend?task=Use%20nature-writing%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: nature-writing description: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人. ---
# Nature-Style Scientific Writing — Router
This skill is split into two layers:
- A **static layer** under `static/` that holds versioned, reusable content fragments (core stance + workflow, paper-type playbooks, per-section drafting guidance, initial-submission guidance, language-specific rules, per-journal style). - A **dynamic layer** (this file plus `manifest.yaml`) that detects the request's axes and loads only the fragments needed for the current job.
Do not try to apply the drafting logic from memory or from this router. Always load fragments from disk as described below.
## Routing protocol
Follow these five steps every time the skill is invoked.
### 1. Load the manifest and the core layer
Read [manifest.yaml](manifest.yaml). It declares the axes (`task`, `paper_type`, `section`, `language`, `journal`), the allowed values, and the file paths each value maps to.
Also read every file listed under `always_load`. These hold the default stance, writing workflow, and output format that apply to every drafting job.
### 2. Detect the axis values for this request
For each axis in the manifest, decide the value using the manifest's `detect:` hint and the user's input:
- `task` — manuscript / submission-package. Use `submission-package` for first-submission materials, never for revision correspondence. - `paper_type` — research / methods / hypothesis / algorithmic / review. Default: research. - `section` — abstract / intro / related-work / method / experiments / discussion / conclusion / title. May be multiple. Ask the user if it is ambiguous and matters for the draft. - `language` — en or zh-to-en. Detect from the user's notes themselves. - `journal` — nature / nature-family / nat-comms / nat-mach-intell / generic. Default: generic. Use `nature` only for the flagship journal Nature, `nat-comms` for Nature Communications, `nat-mach-intell` for Nature Machine Intelligence (NMI), and `nature-family` for other Nature Portfolio titles or an unspecified Nature-family request.
State the detected axis values in one short line to the user before drafting, so they can correct you cheaply.
### 3. Load the matching fragments
For each axis value, Read the file mapped in the manifest. Skip the `section` axis when the task is `submission-package` or when the user explicitly asks for a free-floating argument paragraph with no section context.
Do **not** read every fragment in `static/`. Load only what step 2 selected.
### 4. Draft using the loaded material
Apply the loaded fragments in this priority order:
1. Core stance + intake (`core/stance.md`) — surface missing claim / evidence / boundary before drafting. 2. Paper-type playbook — argument chain, drafting order. 3. Section-specific drafting rules and structure. 4. Task-specific submission rules when `task=submission-package`. 5. Journal-specific framing and constraints. 6. Language-specific sentence and paragraph rules (apply last).
For `task=manuscript`, run the workflow in `core/workflow.md` end-to-end. Do not skip planning just because the user asked for prose immediately.
When drafting or restructuring Results, or compressing a full manuscript's main text, also load `../nature-shared/core/main-text-discipline.md` before building the paragraph map. Classify every result by function, allocate it across main text, captions, Methods/source data, and SI, then draft the shortest sufficient evidence chain. Do not equate a complete analysis record with a complete main text.
When the target is flagship Nature, Nature Communications, Nature Machine Intelligence, or another Nature Portfolio title, load the matching shared Nature-style corpus guidance for the section being drafted:
- Results or Discussion → `../nature-shared/core/nature-results-discussion.md` - Introduction or whole-manuscript narrative → `../nature-shared/core/nature-introduction.md` - Abstract → `../nature-shared/core/nature-abstract.md`
Use these files for claim escalation, question-chain alignment, discovery-centred compression, and synthesis. They were initially distilled from published NMI papers and generalized as Nature-style defaults; do not present them as official policy, and let the target journal's current rules override them.
For any Discussion drafting, restructuring, or section audit, also load `../nature-shared/core/discussion-argument-language.md`. Use it to select the opening anchor, control the reverse-funnel expansion, distinguish literature positioning from citation decoration, calibrate modal strength to evidence, and turn limitations and future work into claim-specific reasoning. This is general writing guidance rather than an official journal rule.
For `task=submission-package`, follow `static/fragments/task/submission-package.md` and `references/submission-package.md` instead. Build the deliverable matrix and readiness audit; do not force manuscript paragraph architecture onto administrative submission materials.
If essential evidence or boundary is missing, write a placeholder and list it under `Assumptions or missing inputs:` instead of inventing content.
### 5. Reach for references only when needed
The files under `references/` are deep references and the example library, not defaults. Open them on demand per the `references.on_demand` table in the manifest. Typical triggers:
- The user asks for a concrete example or template → `references/examples/index.md`. - A section's draft has structural problems that the section fragment alone does not explain → the matching `references/<section>.md`. - The user needs a broad-audience `Nature` abstract opening or asks about a `summary paragraph` → `references/nature-summary-paragraph.md`. - The user asks "does this paragraph flow?" → `references/paragraph-flow.md`. - The user asks for a self-review or rejection-risk audit → `references/paper-review.md`. - The user asks what belongs in the main text, captions, or SI; wants a shorter Results section; or is adding reviewer-driven explanation → `../nature-shared/core/main-text-discipline.md`. - The user requests a complete first-submission package, templates, or a submission-readiness audit → `references/submission-package.md`. - The target is the flagship journal Nature and exact submission or formatting requirements matter → `../nature-shared/journal-formats/nature.md`. - The target is Nature Machine Intelligence and exact content-type, submission, data/code or production requirements matter → `../nature-shared/journal-formats/nature-machine-intelligence.md`. - Any Nature / Nature Portfolio target needs Results claim progression, evidence-bound interpretation, robustness placement, or Discussion synthesis → `../nature-shared/core/nature-results-discussion.md`. - Any target needs a Discussion function chain, evidence-calibrated modal language, claim-specific limitations, non-redundant literature positioning, or uncertainty-driven future work → `../nature-shared/core/discussion-argument-language.md`. - Any Nature / Nature Portfolio target needs an Introduction funnel, exact gap, literature logic, question-first novelty, study roadmap, or alignment with Results → `../nature-shared/core/nature-introduction.md`. - Any Nature / Nature Portfolio target needs abstract evidence-chain, main/supporting-claim, numeric-result, or final-payoff decisions → `../nature-shared/core/nature-abstract.md`. - The work involves regulated or specialist research compliance → `../nature-shared/core/research-compliance.md`.
## Submission boundary
- `nature-writing` owns **initial submission** materials prepared before peer review. - `nature-response` owns revision cover letters, rebuttals, point-by-point responses, marked manuscripts, appeals, and other post-decision correspondence. - Route graphical abstracts and TOC graphics to `nature-figure`; route simulated pre-submission peer review to `nature-reviewer`.
## Why this split
- The static layer is versioned and reviewable. Adding a new journal style, paper type, or section is one new file plus one manifest line. - The dynamic layer keeps each invocation cheap: only the fragments relevant to this draft enter context, instead of the full multi-thousand-line reference set. - The router itself is short on purpose. Update fragments, not this file, when adding scope. - This structure mirrors `nature-polishing` so shared content can later be lifted into a `nature-shared/` layer used by both skills.
Decision snapshot
38,675 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for nature-writing, ready for a manual X post.
A practical pick for a web workflow: nature-writing: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims,... 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=x
Listing + install path for nature-writing: https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-writing
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Agent submitted listing is attributed to Yuan1z0825 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "nature-writing" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-writing. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-nature-skills-nature-writing","task":"Install nature-writing","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-writing
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
39K
100/100 Quality · 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The skill depends on external shared files (../nature-shared/core/*) that are not included in the submitted skill directory. This may break standalone usage if the repository structure is not preserved.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-writing
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill nature-writingDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-skills-nature-writing/install
Agent should check
Copy prompt
Task: Use nature-writing in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-skills-nature-writing/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-writing
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-nature-skills-nature-writing/install
LLM text format
/api/skills/yuan1z0825-nature-skills-nature-writing/install?format=text
Find alternatives
/api/skills/search?q=nature-writing&limit=3
Agent prompt
Use nature-writing for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-skills-nature-writing/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-writingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-nature-skills-nature-writing
LLM text
/api/registry/manifest/yuan1z0825-nature-skills-nature-writing?format=text
Install alias
/api/registry/install/yuan1z0825-nature-skills-nature-writing
Recommend
/api/registry/recommend?task=Use%20nature-writing%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: nature-writing description: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人. ---
# Nature-Style Scientific Writing — Router
This skill is split into two layers:
- A **static layer** under `static/` that holds versioned, reusable content fragments (core stance + workflow, paper-type playbooks, per-section drafting guidance, initial-submission guidance, language-specific rules, per-journal style). - A **dynamic layer** (this file plus `manifest.yaml`) that detects the request's axes and loads only the fragments needed for the current job.
Do not try to apply the drafting logic from memory or from this router. Always load fragments from disk as described below.
## Routing protocol
Follow these five steps every time the skill is invoked.
### 1. Load the manifest and the core layer
Read [manifest.yaml](manifest.yaml). It declares the axes (`task`, `paper_type`, `section`, `language`, `journal`), the allowed values, and the file paths each value maps to.
Also read every file listed under `always_load`. These hold the default stance, writing workflow, and output format that apply to every drafting job.
### 2. Detect the axis values for this request
For each axis in the manifest, decide the value using the manifest's `detect:` hint and the user's input:
- `task` — manuscript / submission-package. Use `submission-package` for first-submission materials, never for revision correspondence. - `paper_type` — research / methods / hypothesis / algorithmic / review. Default: research. - `section` — abstract / intro / related-work / method / experiments / discussion / conclusion / title. May be multiple. Ask the user if it is ambiguous and matters for the draft. - `language` — en or zh-to-en. Detect from the user's notes themselves. - `journal` — nature / nature-family / nat-comms / nat-mach-intell / generic. Default: generic. Use `nature` only for the flagship journal Nature, `nat-comms` for Nature Communications, `nat-mach-intell` for Nature Machine Intelligence (NMI), and `nature-family` for other Nature Portfolio titles or an unspecified Nature-family request.
State the detected axis values in one short line to the user before drafting, so they can correct you cheaply.
### 3. Load the matching fragments
For each axis value, Read the file mapped in the manifest. Skip the `section` axis when the task is `submission-package` or when the user explicitly asks for a free-floating argument paragraph with no section context.
Do **not** read every fragment in `static/`. Load only what step 2 selected.
### 4. Draft using the loaded material
Apply the loaded fragments in this priority order:
1. Core stance + intake (`core/stance.md`) — surface missing claim / evidence / boundary before drafting. 2. Paper-type playbook — argument chain, drafting order. 3. Section-specific drafting rules and structure. 4. Task-specific submission rules when `task=submission-package`. 5. Journal-specific framing and constraints. 6. Language-specific sentence and paragraph rules (apply last).
For `task=manuscript`, run the workflow in `core/workflow.md` end-to-end. Do not skip planning just because the user asked for prose immediately.
When drafting or restructuring Results, or compressing a full manuscript's main text, also load `../nature-shared/core/main-text-discipline.md` before building the paragraph map. Classify every result by function, allocate it across main text, captions, Methods/source data, and SI, then draft the shortest sufficient evidence chain. Do not equate a complete analysis record with a complete main text.
When the target is flagship Nature, Nature Communications, Nature Machine Intelligence, or another Nature Portfolio title, load the matching shared Nature-style corpus guidance for the section being drafted:
- Results or Discussion → `../nature-shared/core/nature-results-discussion.md` - Introduction or whole-manuscript narrative → `../nature-shared/core/nature-introduction.md` - Abstract → `../nature-shared/core/nature-abstract.md`
Use these files for claim escalation, question-chain alignment, discovery-centred compression, and synthesis. They were initially distilled from published NMI papers and generalized as Nature-style defaults; do not present them as official policy, and let the target journal's current rules override them.
For any Discussion drafting, restructuring, or section audit, also load `../nature-shared/core/discussion-argument-language.md`. Use it to select the opening anchor, control the reverse-funnel expansion, distinguish literature positioning from citation decoration, calibrate modal strength to evidence, and turn limitations and future work into claim-specific reasoning. This is general writing guidance rather than an official journal rule.
For `task=submission-package`, follow `static/fragments/task/submission-package.md` and `references/submission-package.md` instead. Build the deliverable matrix and readiness audit; do not force manuscript paragraph architecture onto administrative submission materials.
If essential evidence or boundary is missing, write a placeholder and list it under `Assumptions or missing inputs:` instead of inventing content.
### 5. Reach for references only when needed
The files under `references/` are deep references and the example library, not defaults. Open them on demand per the `references.on_demand` table in the manifest. Typical triggers:
- The user asks for a concrete example or template → `references/examples/index.md`. - A section's draft has structural problems that the section fragment alone does not explain → the matching `references/<section>.md`. - The user needs a broad-audience `Nature` abstract opening or asks about a `summary paragraph` → `references/nature-summary-paragraph.md`. - The user asks "does this paragraph flow?" → `references/paragraph-flow.md`. - The user asks for a self-review or rejection-risk audit → `references/paper-review.md`. - The user asks what belongs in the main text, captions, or SI; wants a shorter Results section; or is adding reviewer-driven explanation → `../nature-shared/core/main-text-discipline.md`. - The user requests a complete first-submission package, templates, or a submission-readiness audit → `references/submission-package.md`. - The target is the flagship journal Nature and exact submission or formatting requirements matter → `../nature-shared/journal-formats/nature.md`. - The target is Nature Machine Intelligence and exact content-type, submission, data/code or production requirements matter → `../nature-shared/journal-formats/nature-machine-intelligence.md`. - Any Nature / Nature Portfolio target needs Results claim progression, evidence-bound interpretation, robustness placement, or Discussion synthesis → `../nature-shared/core/nature-results-discussion.md`. - Any target needs a Discussion function chain, evidence-calibrated modal language, claim-specific limitations, non-redundant literature positioning, or uncertainty-driven future work → `../nature-shared/core/discussion-argument-language.md`. - Any Nature / Nature Portfolio target needs an Introduction funnel, exact gap, literature logic, question-first novelty, study roadmap, or alignment with Results → `../nature-shared/core/nature-introduction.md`. - Any Nature / Nature Portfolio target needs abstract evidence-chain, main/supporting-claim, numeric-result, or final-payoff decisions → `../nature-shared/core/nature-abstract.md`. - The work involves regulated or specialist research compliance → `../nature-shared/core/research-compliance.md`.
## Submission boundary
- `nature-writing` owns **initial submission** materials prepared before peer review. - `nature-response` owns revision cover letters, rebuttals, point-by-point responses, marked manuscripts, appeals, and other post-decision correspondence. - Route graphical abstracts and TOC graphics to `nature-figure`; route simulated pre-submission peer review to `nature-reviewer`.
## Why this split
- The static layer is versioned and reviewable. Adding a new journal style, paper type, or section is one new file plus one manifest line. - The dynamic layer keeps each invocation cheap: only the fragments relevant to this draft enter context, instead of the full multi-thousand-line reference set. - The router itself is short on purpose. Update fragments, not this file, when adding scope. - This structure mirrors `nature-polishing` so shared content can later be lifted into a `nature-shared/` layer used by both skills.
Decision snapshot
38,675 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for nature-writing, ready for a manual X post.
A practical pick for a web workflow: nature-writing: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims,... 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=x
Listing + install path for nature-writing: https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-writing
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@yuan1z0825
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Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "nature-writing" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-writing. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yuan1z0825-nature-skills-nature-writing","task":"Install nature-writing","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Yuan1z0825/nature-skills --skill nature-writing
Maintenance
fresh
2d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
39K
100/100 Quality · 85/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The skill depends on external shared files (../nature-shared/core/*) that are not included in the submitted skill directory. This may break standalone usage if the repository structure is not preserved.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
39K GitHub stars
Repo activity
39K stars, 2.1K forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add Yuan1z0825/nature-skills --skill nature-writing
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Yuan1z0825/nature-skills --skill nature-writingDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yuan1z0825-nature-skills-nature-writing/install
Agent should check
Copy prompt
Task: Use nature-writing in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20nature-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuan1z0825-nature-skills-nature-writing/install
Install command: npx skills add Yuan1z0825/nature-skills --skill nature-writing
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yuan1z0825-nature-skills-nature-writing/install
LLM text format
/api/skills/yuan1z0825-nature-skills-nature-writing/install?format=text
Find alternatives
/api/skills/search?q=nature-writing&limit=3
Agent prompt
Use nature-writing for this task. Review https://www.openagentskill.com/api/skills/yuan1z0825-nature-skills-nature-writing/install, then install with: npx skills add Yuan1z0825/nature-skills --skill nature-writingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yuan1z0825-nature-skills-nature-writing
LLM text
/api/registry/manifest/yuan1z0825-nature-skills-nature-writing?format=text
Install alias
/api/registry/install/yuan1z0825-nature-skills-nature-writing
Recommend
/api/registry/recommend?task=Use%20nature-writing%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 2.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: nature-writing description: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人. ---
# Nature-Style Scientific Writing — Router
This skill is split into two layers:
- A **static layer** under `static/` that holds versioned, reusable content fragments (core stance + workflow, paper-type playbooks, per-section drafting guidance, initial-submission guidance, language-specific rules, per-journal style). - A **dynamic layer** (this file plus `manifest.yaml`) that detects the request's axes and loads only the fragments needed for the current job.
Do not try to apply the drafting logic from memory or from this router. Always load fragments from disk as described below.
## Routing protocol
Follow these five steps every time the skill is invoked.
### 1. Load the manifest and the core layer
Read [manifest.yaml](manifest.yaml). It declares the axes (`task`, `paper_type`, `section`, `language`, `journal`), the allowed values, and the file paths each value maps to.
Also read every file listed under `always_load`. These hold the default stance, writing workflow, and output format that apply to every drafting job.
### 2. Detect the axis values for this request
For each axis in the manifest, decide the value using the manifest's `detect:` hint and the user's input:
- `task` — manuscript / submission-package. Use `submission-package` for first-submission materials, never for revision correspondence. - `paper_type` — research / methods / hypothesis / algorithmic / review. Default: research. - `section` — abstract / intro / related-work / method / experiments / discussion / conclusion / title. May be multiple. Ask the user if it is ambiguous and matters for the draft. - `language` — en or zh-to-en. Detect from the user's notes themselves. - `journal` — nature / nature-family / nat-comms / nat-mach-intell / generic. Default: generic. Use `nature` only for the flagship journal Nature, `nat-comms` for Nature Communications, `nat-mach-intell` for Nature Machine Intelligence (NMI), and `nature-family` for other Nature Portfolio titles or an unspecified Nature-family request.
State the detected axis values in one short line to the user before drafting, so they can correct you cheaply.
### 3. Load the matching fragments
For each axis value, Read the file mapped in the manifest. Skip the `section` axis when the task is `submission-package` or when the user explicitly asks for a free-floating argument paragraph with no section context.
Do **not** read every fragment in `static/`. Load only what step 2 selected.
### 4. Draft using the loaded material
Apply the loaded fragments in this priority order:
1. Core stance + intake (`core/stance.md`) — surface missing claim / evidence / boundary before drafting. 2. Paper-type playbook — argument chain, drafting order. 3. Section-specific drafting rules and structure. 4. Task-specific submission rules when `task=submission-package`. 5. Journal-specific framing and constraints. 6. Language-specific sentence and paragraph rules (apply last).
For `task=manuscript`, run the workflow in `core/workflow.md` end-to-end. Do not skip planning just because the user asked for prose immediately.
When drafting or restructuring Results, or compressing a full manuscript's main text, also load `../nature-shared/core/main-text-discipline.md` before building the paragraph map. Classify every result by function, allocate it across main text, captions, Methods/source data, and SI, then draft the shortest sufficient evidence chain. Do not equate a complete analysis record with a complete main text.
When the target is flagship Nature, Nature Communications, Nature Machine Intelligence, or another Nature Portfolio title, load the matching shared Nature-style corpus guidance for the section being drafted:
- Results or Discussion → `../nature-shared/core/nature-results-discussion.md` - Introduction or whole-manuscript narrative → `../nature-shared/core/nature-introduction.md` - Abstract → `../nature-shared/core/nature-abstract.md`
Use these files for claim escalation, question-chain alignment, discovery-centred compression, and synthesis. They were initially distilled from published NMI papers and generalized as Nature-style defaults; do not present them as official policy, and let the target journal's current rules override them.
For any Discussion drafting, restructuring, or section audit, also load `../nature-shared/core/discussion-argument-language.md`. Use it to select the opening anchor, control the reverse-funnel expansion, distinguish literature positioning from citation decoration, calibrate modal strength to evidence, and turn limitations and future work into claim-specific reasoning. This is general writing guidance rather than an official journal rule.
For `task=submission-package`, follow `static/fragments/task/submission-package.md` and `references/submission-package.md` instead. Build the deliverable matrix and readiness audit; do not force manuscript paragraph architecture onto administrative submission materials.
If essential evidence or boundary is missing, write a placeholder and list it under `Assumptions or missing inputs:` instead of inventing content.
### 5. Reach for references only when needed
The files under `references/` are deep references and the example library, not defaults. Open them on demand per the `references.on_demand` table in the manifest. Typical triggers:
- The user asks for a concrete example or template → `references/examples/index.md`. - A section's draft has structural problems that the section fragment alone does not explain → the matching `references/<section>.md`. - The user needs a broad-audience `Nature` abstract opening or asks about a `summary paragraph` → `references/nature-summary-paragraph.md`. - The user asks "does this paragraph flow?" → `references/paragraph-flow.md`. - The user asks for a self-review or rejection-risk audit → `references/paper-review.md`. - The user asks what belongs in the main text, captions, or SI; wants a shorter Results section; or is adding reviewer-driven explanation → `../nature-shared/core/main-text-discipline.md`. - The user requests a complete first-submission package, templates, or a submission-readiness audit → `references/submission-package.md`. - The target is the flagship journal Nature and exact submission or formatting requirements matter → `../nature-shared/journal-formats/nature.md`. - The target is Nature Machine Intelligence and exact content-type, submission, data/code or production requirements matter → `../nature-shared/journal-formats/nature-machine-intelligence.md`. - Any Nature / Nature Portfolio target needs Results claim progression, evidence-bound interpretation, robustness placement, or Discussion synthesis → `../nature-shared/core/nature-results-discussion.md`. - Any target needs a Discussion function chain, evidence-calibrated modal language, claim-specific limitations, non-redundant literature positioning, or uncertainty-driven future work → `../nature-shared/core/discussion-argument-language.md`. - Any Nature / Nature Portfolio target needs an Introduction funnel, exact gap, literature logic, question-first novelty, study roadmap, or alignment with Results → `../nature-shared/core/nature-introduction.md`. - Any Nature / Nature Portfolio target needs abstract evidence-chain, main/supporting-claim, numeric-result, or final-payoff decisions → `../nature-shared/core/nature-abstract.md`. - The work involves regulated or specialist research compliance → `../nature-shared/core/research-compliance.md`.
## Submission boundary
- `nature-writing` owns **initial submission** materials prepared before peer review. - `nature-response` owns revision cover letters, rebuttals, point-by-point responses, marked manuscripts, appeals, and other post-decision correspondence. - Route graphical abstracts and TOC graphics to `nature-figure`; route simulated pre-submission peer review to `nature-reviewer`.
## Why this split
- The static layer is versioned and reviewable. Adding a new journal style, paper type, or section is one new file plus one manifest line. - The dynamic layer keeps each invocation cheap: only the fragments relevant to this draft enter context, instead of the full multi-thousand-line reference set. - The router itself is short on purpose. Update fragments, not this file, when adding scope. - This structure mirrors `nature-polishing` so shared content can later be lifted into a `nature-shared/` layer used by both skills.
Decision snapshot
38,675 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for nature-writing, ready for a manual X post.
A practical pick for a web workflow: nature-writing: Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims,... 38.7K stars https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=x
Listing + install path for nature-writing: https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=x Install: npx skills add Yuan1z0825/nature-skills --skill nature-writing
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Agent submitted listing is attributed to Yuan1z0825 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing/audit)
[](https://www.openagentskill.com/skills/yuan1z0825-nature-skills-nature-writing?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Yuan1z0825
@yuan1z0825
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness