Hello everyone, I'm Yizhe Yuan, a Ph.D. candidate at Shanghai Jiao Tong University. My work primarily focuses on Medical AI research and entrepreneurial initiatives, and I am currently planning to establish related ventures in Zhangjiang, Pudong (Shanghai). If you have access to disease-specific pathology cohorts or large-scale pan-cancer cohorts (10,000+ patients), are building a startup in a rel
大家好,我是上海交通大学博士生袁一哲,目前主要从事医疗 AI 相关的研究与创业实践,计划落地浦东张江!有病理专病或者泛癌万人以上队列的朋友,正在创业的伙伴亦或者欣赏我的投资人等等可以添加我的个人微信,务必备注来意。感谢大家持续关注 nature-skill。如果你有任何需求,欢迎提交 issue;如果我们认为该需求有意义且可行,也会尽量推进实现。我们同样欢迎 PR,但请务必按照 README 后面说明的格式提交,以便我们更高效地审核与合并。
|
个人微信 |
个人介绍 |
Hello everyone, I'm Yizhe Yuan, a Ph.D. candidate at Shanghai Jiao Tong University. My work primarily focuses on Medical AI research and entrepreneurial initiatives, and I am currently planning to establish related ventures in Zhangjiang, Pudong (Shanghai). If you have access to disease-specific pathology cohorts or large-scale pan-cancer cohorts (10,000+ patients), are building a startup in a related field, or are an investor interested in my work, feel free to connect with me via WeChat. Please include a brief note explaining the purpose of your contact request. Thank you for your continued interest in nature-skill. If you have any feature requests or suggestions, please feel free to submit an Issue. If we find the proposal meaningful and feasible, we will do our best to implement it. We also welcome Pull Requests (PRs). However, please follow the contribution format described later in this README to help us review and merge submissions more efficiently.
|
微信群聊 答疑交流群!进群请立刻改备注
|
还在寻找能够落地的 AI 前沿交叉赛道吗?我们课题组现向对“医学 + AI”充满热情的你发出邀请! 这里有充足的计算资源,以及深耕医疗大模型(LLM)、视觉预训练、Prompt Engineering 及自动化医疗 AI Agent 的科研团队。我们更看重你的自驱力、学习能力与科研产出追求。 项目信息文档链接:https://iigqjt2m4ia.feishu.cn/wiki/VIvDwHu18iTc6mk411xco8chnJb 密码:664#N926 如果你有相关代码基础或项目经验,渴望在顶级交叉学科中积累成果,请将简历发送至: 📧 sjtu520aimedws@163.com (标题格式:姓名-专业-医学AI科研申请) 期待与你在 AI 赋能医疗的征途中,做出最扎实的科研工作! |
nature-skills is a repository of reusable instruction bundles centred on SKILL.md.
Each skills/nature-* directory is one installable unit. Copy the whole folder, not
only SKILL.md, because many skills depend on references/, static/, assets,
scripts, or README context. The skills/_shared/ directory is shared support
content used by several skills and should stay next to the nature-* folders
when you install skills manually.
Codex plugin marketplace installation
This repository includes Codex plugin packaging at plugins/nature-skills/, so
Codex users can install the complete Nature Skills bundle from the plugin
marketplace instead of copying each skill folder manually.
CLI installation:
codex plugin marketplace add https://github.com/Yuan1z0825/nature-skills --ref main
codex plugin add nature-skills@nature-skills
Codex Desktop users can add the same repository as a custom plugin marketplace:
https://github.com/Yuan1z0825/nature-skills.gitmainnature-skillsAfter installation, all nature-* skills are available through the plugin as a
complete bundle, together with the shared support directory used by the newer
router-style skills. If the skills do not appear immediately, refresh the plugin
page or start a new Codex session.
Manual local-skill installation
Codex can also use these folders directly as local skills.
Clone the repo
git clone https://github.com/Yuan1z0825/nature-skills.git
cd nature-skills
Install one skill
mkdir -p ~/.codex/skills
cp -R skills/_shared ~/.codex/skills/
cp -R skills/nature-reader ~/.codex/skills/
Copying _shared is harmless even for skills that do not use it, and it avoids
broken relative references for skills such as nature-reader, nature-writing,
nature-polishing, and nature-paper2ppt.
Install all current skills
mkdir -p ~/.codex/skills
cp -R skills/_shared ~/.codex/skills/
for d in skills/nature-*; do
cp -R "$d" ~/.codex/skills/
done
Update after pulling new changes
git pull
cp -R skills/_shared ~/.codex/skills/
for d in skills/nature-*; do
cp -R "$d" ~/.codex/skills/
done
Finish
Translate this paper into a full markdown reader. or
Make this paper into a Chinese journal-club PPT.If you prefer not to use the terminal, copying the skills/nature-* folder(s) into
~/.codex/skills/ manually works as well; also copy skills/_shared/ once. For
a longer walkthrough, see install.md.
Claude Code does not consume Codex skill folders directly. The recommended
Claude Code setup is a thin subagent or slash-command wrapper that points to a
stable clone of this repository, so supporting files such as references/,
static/, assets, scripts, and skills/_shared/ remain available.
mkdir -p ~/ai-skills
cd ~/ai-skills
git clone https://github.com/Yuan1z0825/nature-skills.git
Create a user-level subagent wrapper:
mkdir -p ~/.claude/agents
cat > ~/.claude/agents/nature-reader.md <<'EOF'
---
name: nature-reader
description: Full-paper bilingual, figure-aware, source-grounded Markdown reader for journal or conference papers. Use proactively when the user asks to translate an entire paper or generate a complete markdown reader.
---
When invoked, first read `~/ai-skills/nature-skills/skills/nature-reader/SKILL.md`.
Treat that file as the governing workflow.
If the skill references supporting files, read only the specific files you need from
`~/ai-skills/nature-skills/skills/nature-reader/` and
`~/ai-skills/nature-skills/skills/_shared/`.
Do not replace the skill with a generic paper-summary response.
EOF
After that, start a new Claude Code session or open /agents, and invoke it
naturally or explicitly:
Use the nature-reader subagent to turn this PDF into a full markdown reader.
If you prefer commands instead of subagents, create a project or user command under
.claude/commands/ or ~/.claude/commands/ that tells Claude Code to read the
real SKILL.md from the cloned repository.
Official Claude Code docs:
If your agent supports reusable prompt files, system prompts, or agent profiles, the minimum portable unit is the skill directory itself:
skills/
├── _shared/ # keep this when a skill references ../_shared
└── nature-<topic>/
├── README.md
├── SKILL.md
├── manifest.yaml # present for router-style skills
├── static/ # present for router-style skills
└── references/...
In that case:
SKILL.md, manifest.yaml, static/, references/, scripts, assets,
and any needed skills/_shared/ files together.| Skill | Status | Purpose | Trigger keywords |
|---|---|---|---|
nature-figure | Stable | Nature/high-impact Python or R figure workflow with bundled figures4papers demos | "Nature figure", "publication plot", "scientific figure", "figures4papers" |
nature-polishing | Stable | Academic prose polishing to Nature style | "Nature style", "polish", "academic writing" |
nature-writing | Draft | Nature-style manuscript section drafting and argument restructuring | "Nature writing", "write abstract", "write introduction", "manuscript draft" |
nature-reviewer | Draft | Nature-style reviewer assessment with 3 referee reports and a cross-review synthesis | "Nature reviewer", "pre-submission review", "reviewer report", "peer-review critique", "审稿人视角评估" |
nature-citation | Beta | Strict Nature / CNS-family citation retrieval with ENW, RIS, and Zotero RDF export | "Nature citation", "CNS citation", "text citation", "supporting references", "Zotero RDF" |
nature-data | Draft | Nature Data Availability statements, repository plans, and FAIR checks | "Data Availability", "repository", "FAIR metadata", "data availability statement" |
nature-reader | Beta | Full-paper bilingual Markdown reader with source anchors and figure grounding | "nature reader", "full markdown", "paper md", "原文对照", "图文对应", "全文翻译" |
nature-response | Beta | Point-by-point reviewer response letters with comment triage, action mapping, and risk checks | "response to reviewers", "rebuttal letter", "major revision", "审稿意见回复" |
nature-paper2ppt | Beta | Chinese PPTX decks from scientific papers | "paper PPT", "journal club", "paper to slides", "paper presentation" |
nature-academic-search | Beta | Multi-source literature search, citation verification, and reference management | "search papers", "find articles", "academic search", "literature search", "verify DOI" |
Adding a new skill? Follow the contribution guide at the bottom of this file.
What it does — Generates multi-panel matplotlib figures that match Nature journal visual standards: correct typography, semantic colour palette, editable SVG output, and non-redundant panel information architecture.
Example output gallery — Five dense, simulated Nature-style result figures are
included in the nature-figure gallery:
material/mechanism, spatial imaging, in vivo efficacy, single-cell systems and
perturbation validation.
Chart-type atlas — The nature-figure chart atlas
classifies 10 supported chart families, including bar, line, heatmap, scatter/bubble,
radar/polar, distribution, forest/interval, area/stacked, image-plate and network/matrix
layouts.
![]() | ![]() | ![]() | ![]() | ![]() |
|---|
Built from — Production scripts from papers published in Nature Machine Intelligence
and top ML/bioinformatics venues (figures4papers).
The figures4papers demo scripts and preview assets are bundled inside
skills/nature-figure/assets/figures4papers/, with a routing guide at
skills/nature-figure/references/demos.md.
Key rules enforced
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Arial', 'DejaVu Sans', 'Liberation Sans']
plt.rcParams['svg.fonttype'] = 'none' # text stays as <text> nodes, not paths
.svg; .png at 300 dpi is a secondary raster preview.Reference files
skills/nature-figure/
├── README.md
├── SKILL.md
├── manifest.yaml
├── static/
└── references/
├── api.md PALETTE, helper signatures, validation rules
├── design-theory.md Typography, layout, export policy, anti-redundancy rules
├── common-patterns.md Ultra-wide panels, legend axes, print-safe bars
├── tutorials.md End-to-end walkthroughs (bars, trends, heatmaps)
├── chart-types.md Radar, 3D sphere, scatter, fill_between, log-scale
└── demos.md Bundled figures4papers scripts and preview routing
Supported chart types — Stacked bar, grouped bar, horizontal ablation bar, trend/line, sequential heatmap, diverging z-score heatmap, bubble scatter, radar/polar, 3D sphere illustration, fill-between area, log-scale bar, GridSpec multi-panel.
What it does — Transforms academic draft text (including Chinese → English translation) into prose matching Nature journal conventions: ≤ 30-word sentences, section-aware tense and hedging, precise vocabulary, correct citation practice, and British English.
Built from — A graduate-level scientific English writing course, Academic Phrasebank, and close reading of curated Nature and Nature Communications research articles across materials, energy systems, construction decarbonization and machine learning.
Key rules enforced
| Domain | Core rule |
|---|---|
| Sentence length | Every sentence ≤ 30 words; count individually; last sentence most likely to fail |
| Hedging calibration | Match claim strength to evidence: demonstrate → suggest → may reflect |
| Section tense | Results = past tense + quantitative detail; Discussion = hedging + mechanism |
| Citation integrity | Cite only sources personally read and verified; four attribution types |
| Overclaim detection | Flag absolutes, unwarranted causation, scope expansion, unverified "first" claims |
| British English | signalling, colour, analyse, programme, modelling, behaviour |
12-step polishing workflow
Sentence split → Section ID → Hourglass check → Tense audit → Sentence edit → Vocabulary upgrade → Template check → Citation audit → House style → Overclaim → Proofreading → Plain-text output
Reference files
skills/nature-polishing/
├── README.md
├── SKILL.md
├── manifest.yaml
├── static/
└── references/
├── latex-layout.md
├── published-article-patterns.md
├── phrasebank-playbook.md
├── section-moves.md
├── style-guardrails.md
└── writing-strategy.md
What it does — Drafts or rebuilds manuscript sections from author-provided claims, results, figures, notes, or Chinese drafts. It is for argument construction: abstracts, introductions, Results narratives, Discussions, Conclusions, titles and full manuscript outlines, method sections, experiment sections and reviewer-facing self-review.
Built from — Close reading of curated Nature and Nature Communications articles, especially how published papers move from field-scale stakes to a narrow gap, then to evidence, interpretation and bounded implication. It also integrates open research-writing notes for paragraph flow, section logic and adversarial paper review.
Key rules enforced
| Domain | Core rule |
|---|---|
| Evidence first | Do not invent data, mechanisms, references, statistics, novelty or limitations |
| Abstract | Context/problem → gap → approach → key result → implication → boundary |
| Introduction | Field scale → bottleneck → prior attempts → unresolved gap → present study |
| Method | Module motivation → module design → forward process → technical advantage |
| Results | Build an evidence ladder, not a chronological lab diary |
| Experiments | Tie claims to baselines, ablations, metrics, stress tests and readable tables |
| Discussion | Explain meaning, relation to prior work, constraints and future use |
| Review | Run claim-evidence and rejection-risk checks before submission |
| Chinese notes | Translate intent and argument, not clause order |
Reference files
skills/nature-writing/
├── README.md
├── SKILL.md
├── manifest.yaml
├── static/
├── agents/
│ └── openai.yaml
└── references/
├── abstract.md
├── article-architecture.md
├── chinese-author-workflow.md
├── conclusion.md
├── experiments.md
├── introduction.md
├── method.md
├── paper-review.md
├── paragraph-flow.md
├── related-work.md
└── examples/
What it does — Simulates a Nature-style pre-submission reviewer assessment from the referee perspective. It returns three reviewer reports plus a cross-review synthesis, focusing on novelty, significance, technical soundness, presentation, and likely editorial risk.
Key rules enforced
| Domain | Core rule |
|---|---|
| Reviewer role | Assess as external referees, not as an author rebuttal writer |
| Evidence grounding | Use only the manuscript/material supplied by the user and the local reviewer source basis |
| Multi-reviewer output | Produce three distinct reviewer reports plus a synthesis |
| Editorial relevance | Separate novelty, significance, technical confidence, presentation, and decision risk |
| Boundaries | Do not invent experiments, citations, journal policy, or manuscript content |
Reference files
skills/nature-reviewer/
├── README.md
├── SKILL.md
└── references/
├── source-basis.md
├── reviewer-workflow.md
├── review-axes.md
├── report-structure.md
├── role-boundaries.md
└── qa-checklist.md
What it does — Converts manuscript text or standalone claims into strict Nature / CNS-family
citation candidates, then exports one reference-manager-ready file in ENW, RIS, or Zotero
RDF. It can also generate an HTML screening page for year filtering, citation selection, and
format-specific download.
Built from — Crossref metadata retrieval, DOI record export, and journal-family filtering logic for Nature Portfolio, the AAAS Science family, and Cell Press.
Key rules enforced
| Domain | Core rule |
|---|---|
| Scope filtering | Restrict to Nature Portfolio, Science family, Cell Press, or flagship-only journals |
| Segmentation | Split long text into citable claim units with stable segment IDs |
| Search discipline | Translate Chinese claims into English scientific concepts; prefer precision over volume |
| Support grading | Distinguish strong, partial, background, limiting, and metadata-only support |
| Export integrity | Do not fabricate DOI, pages, volume, issue, or journal metadata |
| Download options | Support one-file export in ENW, RIS, or Zotero RDF |
Reference files
skills/nature-citation/
├── README.md
├── SKILL.md
├── manifest.yaml
├── static/
├── references/
│ ├── journal-scope.md
│ ├── ris-endnote.md
│ ├── script-usage.md
│ └── search-strategy.md
└── scripts/
└── nature_citation.py
Example workflow — Segment a paragraph, search in-scope citations, review candidates in the
HTML browser, then download only the selected records as ENW, RIS, or Zotero RDF.
What it does — Prepares and audits Data Availability statements, repository plans, dataset citations, and FAIR metadata checks for Nature-family and Springer Nature submissions. It is bilingual-aware: Chinese author notes such as "data availability statement", "request from corresponding author", "raw data", "restricted data", and "public database" are converted into precise submission-ready English with Chinese action notes.
Built from — Springer Nature research data policy, Nature Portfolio reporting standards, Scientific Data repository and citation practice, the FAIR Guiding Principles, and DataCite metadata conventions.
Key rules enforced
| Domain | Core rule |
|---|---|
| Data Availability | Map every result-supporting dataset to a durable access route |
| Repository strategy | Prefer mandated or discipline-specific repositories with persistent identifiers |
| Restricted data | State the restriction reason, controller, review route, and access conditions |
| Dataset citations | Cite public datasets with DataCite-style creator, title, repository, year, and identifier metadata |
| FAIR metadata | Check identifiers, licence, README/data dictionary, provenance, version, and reuse conditions |
| Chinese alignment | Translate intent rather than literal wording; flag vague "reasonable request" phrasing |
Reference files
skills/nature-data/
├── README.md
├── SKILL.md
├── manifest.yaml
├── static/
├── agents/
│ └── openai.yaml
└── references/
├── chinese-author-alignment.md
├── fair-metadata-checklist.md
├── policy-principles.md
├── repository-and-identifiers.md
├── source-basis.md
└── statement-patterns.md
What it does — Drafts, audits, and revises point-by-point reviewer response letters for Nature-family and high-impact journal manuscript revisions. It treats the response letter as an editor-facing verification document: every reviewer concern is assigned a stable ID, classified, mapped to an action, and tied to manuscript evidence, a revision location, or an unresolved author-input flag.
Built from — Nature editorial process guidance, Nature-family revision-package instructions, Springer Nature rebuttal advice, and transparent peer-review considerations.
Key rules enforced
| Domain | Core rule |
|---|---|
| Completeness | Every reviewer comment receives an ID and a response, cross-reference, or unresolved flag |
| Action mapping | Each reply maps to a concrete manuscript action such as ACCEPT_TEXT, ACCEPT_ANALYSIS, SOFTEN_CLAIM, or AUTHOR_INPUT_NEEDED |
| Traceability | Claimed changes must cite a section, page, line, figure, table, supplement, citation, or visible placeholder |
| Factuality | Do not invent experiments, analyses, citations, line numbers, figure panels, editor instructions, or manuscript changes |
| Tone | Use cooperative, evidence-forward language; disagree only with scientific or scope-based reasoning |
| Chinese alignment | Convert Chinese author notes into English response prose plus Chinese confirmation items when needed |
Reference files
skills/nature-response/
├── README.md
├── SKILL.md
├── manifest.yaml
├── static/
├── references/
│ ├── action-mapping.md
│ ├── chinese-author-alignment.md
│ ├── comment-taxonomy.md
│ ├── difficult-cases.md
│ ├── intake-and-routing.md
│ ├── qa-checklist.md
│ ├── response-structure.md
│ ├── source-basis.md
│ └── tone-and-stance.md
├── tests/
├── conflicting-reviewers.md
├── defensive-draft-audit.md
├── evaluation-summary.md
├── impossible-experiment.md
├── major-revision-missing-evidence.md
├── minor-revision.md
└── rubric.md
└── examples/
├── conflicting-reviewers.md
├── major-revision-with-missing-evidence.md
└── minor-revision.md
What it does — Turns a scientific paper, preprint, PDF, article text, abstract,
figure legends, or reading notes into a concise Chinese .pptx presentation for journal
club, group meeting, lab meeting, paper sharing, or thesis seminar.
The skill identifies the paper type and central argument, selects only figures and tables that support the evidence chain, writes Chinese slide titles, bullets, captions, takeaways and speaker notes, creates the actual PPTX deck, and runs lightweight package QA.
Key rules enforced
| Domain | Core rule |
|---|---|
| Narrative | Use the paper's scientific argument as the slide spine, not the manuscript section order |
| Paper type | Classify the paper before choosing claim-first, problem-to-solution, workflow-to-validation, or evidence-map logic |
| Figures | Use figures as evidence; crop or split dense panels rather than shrinking them into unreadable slots |
| Output | Build a real .pptx as the primary deliverable, with Chinese text and speaker notes |
| QA | Reopen or inspect the PPTX package, record slide count, embedded media, notes, and any rendering limits |
| Integrity | Do not fabricate results, methods, numbers, datasets, mechanisms, or figure details |
Reference files
skills/nature-paper2ppt/
├── README.md
├── SKILL.md
├── manifest.yaml
├── static/
└── references/
├── design-and-layout.md
├── figure-assets.md
└── self-review.md
What it does — Provides a multi-source academic search and reference-management
workflow backed by a local MCP server. It searches PubMed, CrossRef and arXiv in
parallel, fetches records by DOI, PMID or arXiv ID, formats citations, looks up MeSH
terms, verifies bibliographic identifiers, and supports .nbib, .ris, .bib and
.enw reference-file workflows.
Built from — A unified MCP server with source adapters for PubMed E-utilities, CrossRef REST metadata and arXiv Atom metadata, plus reusable workflow notes for source-tier routing, search strategy, citation parsing, deduplication, RIS/BibTeX field mapping and reference-file conversion.
Setup note — For Claude Code MCP use, run
bash skills/nature-academic-search/install.sh your-email@example.com, restart Claude Code,
and optionally set NCBI_API_KEY for higher PubMed rate limits. For plain prompt use,
copy the whole skills/nature-academic-search/ directory like the other skills.
Key rules enforced
| Domain | Core rule |
|---|---|
| Source routing | Start with structured API-backed sources: PubMed for biomedical searches, CrossRef for DOI and cross-disciplinary metadata, and arXiv for preprints |
| Fallback discipline | Escalate from T1 sources to limited APIs or scraped/manual sources only when needed, and warn when results may be incomplete |
| Deduplication | Merge multi-source hits by DOI, PMID, arXiv ID and normalized title rather than counting duplicate records as separate evidence |
| Citation verification | Resolve DOI, PMID and arXiv IDs before citation formatting; expose missing or failed metadata instead of filling fields by guesswork |
| MeSH strategy | Use MeSH lookup for biomedical PubMed queries when the task needs recall, controlled vocabulary or systematic search structure |
| File integrity | Preserve bibliographic fields when converting .nbib, .ris, .bib and .enw; do not fabricate volume, issue, pages, DOI or PMID values |
MCP tools
| Tool | Purpose |
|---|---|
search_papers | Search CrossRef, PubMed and arXiv with optional source selection and per-source result limits |
get_paper_by_id | Fetch paper metadata by DOI, PMID or arXiv ID with automatic ID-type detection |
get_citation | Generate formatted citations in styles such as APA, Nature, IEEE, Vancouver, Chicago and MLA |
lookup_mesh | Query PubMed MeSH descriptors for biomedical search-term expansion |
Reference files
skills/nature-academic-search/
├── README.md
├── SKILL.md
├── manifest.yaml
├── static/
├── install.sh
├── config/
│ ├── mcp-snippet.json
│ ├── settings-snippet.json
│ └── triggers-academic-search.toml
├── mcp-server/
│ ├── academic_search_server.py
│ ├── sources/
│ ├── tests/
│ └── utils/
├── references/
│ ├── citation-parser.md
│ ├── dedup-engine.md
│ ├── ris-bibtex-format.md
│ ├── search-strategy.md
│ ├── source-tiers.md
│ └── workflows/
└── scripts/
├── converters.py
├── format-converter.py
└── preflight.py
Example workflow — Search the same topic across PubMed, CrossRef and arXiv, merge and deduplicate candidate papers, verify key identifiers, look up MeSH terms for the biomedical subset, then export or convert the selected references for Zotero, EndNote or BibTeX.
All skills in this collection adhere to the following:
.svg file, a .pptx deck, or a concrete recommendation. No intermediate planning documents.To add a skill to this collection:
1. Create a directory
skills/nature-<topic>/
2. Minimum required files
| File | Required | Purpose |
|---|---|---|
SKILL.md | Yes | Frontmatter (name, description) + rules + workflow; loaded by the agent after triggering |
README.md | Yes | Human-readable reference in full English |
references/*.md | Recommended for complex skills | Modular rule files (api, design theory, tutorials, chart types, …) |
3. SKILL.md frontmatter template
---
name: nature-<topic>
description: >-
One-sentence description of what the skill does and when to trigger it.
Include the output format and the primary use case.
---
4. Update this index
Add a row to the Skill index table above:
| [`nature-<topic>`](skills/nature-<topic>/README.md) | Draft / Stable | One-line purpose | trigger keywords |
5. Status labels
| Label | Meaning |
|---|---|
Draft | Rules defined; not yet tested on real examples |
Beta | Tested on examples; edge cases may remain |
Stable | Validated on real academic content; rules are settled |
The following are documented gaps. Contributions welcome.
| Candidate | Scope | Priority |
|---|---|---|
nature-stats | Statistical reporting conventions for Nature (effect sizes, confidence intervals, p-value formatting, sample size statements) | High |
nature-methods | Deep-dive Methods writing assistant — reproducibility checklist, forbidden phrases, ethical approval templates, supplementary organisation | Medium |
nature-cover | Cover letter drafting — hook paragraph, significance framing, fit-to-journal argument, ≤ 500-word limit | Medium |
| 微信赞赏 | 来自粉丝的小感动 |
|---|---|
项目会长期免费维护,大家正常使用就好。
很多朋友还是学生党,所以完全不需要有任何“必须打赏”的压力。
如果这些内容刚好帮你节省了一些时间、解决了一点问题,
又恰好想请作者喝杯咖啡,那我会非常开心 ☕
你的支持会用于:
无论是否赞赏,都非常感谢你的关注与支持 ❤️
How To Shoot Cinematic NATURE BROLL | Smartphone Filmmaking Tips For Beginners
Learn Online Video · 516K views
10 Bushcraft Axe Skills in 10 Minutes
TA Outdoors · 3678K views
10 Bushcraft Knife Skills in 10 Minutes
TA Outdoors · 2797K views
“There's a difference between "can generate" and "can create [from scratch]". Of course LLMs can generate code that reflects common patterns in the stuff it was trained, such as frontend/backend splits, since this is prec…”
“Effie Yeaw Nature Center day camp in Carmichael doesn’t just teach nature skills - Sacramento Bee — Sacramento Bee”
“Spring 2026 Nature Camp at Lyon | Harold L. Lyon Arboretum - UH Manoa — UH Manoa”
“A state-backed program teaches nature skills to Missouri women - Springfield Daily Citizen — Springfield Daily Citizen”
Other
AERIS-10 is an open-source, low-cost 10.5 GHz phased array radar system featuring Pulse Linear Frequency Modulated (LFM) modulation. Available in two versions (3km and 20km range), it's designed for researchers, drone developers, and serious SDR enthusiasts who want to explore and experiment with phased array radar technology. The AERIS-10 project aims to democratize radar technology by providing a fully open-source, modular, and hackable radar system. Whether you're a university researcher, a drone startup, or an advanced maker, AERIS-10 offers a platform for experimenting with beamforming, pulse compression, Doppler processing, and target tracking. 1. Waveform Generation - DAC creates LFM chirps 2. Up/Down Conversion - LTC5552 mixers handle frequency translation 3. Beam Steering - ADAR
Other
Codex++ 是面向 Codex App 的外部增强启动器和管理工具。它不修改 Codex App 原始安装文件,而是通过外部 launcher 启动 Codex,并使用 Chromium DevTools Protocol 注入增强脚本。 Windows 安装包会创建桌面和开始菜单快捷方式。macOS DMG 会安装 /Applications/Codex++.app 和 /Applications/Codex++ 管理工具.app。 Codex++ 会在 ~/.codex/config.toml 中写入类似配置:
Other
You are not limited to LAN only. It works over the internet just like before, through BambuNetwork, with full functionality for normal use and printing. Before first launch, open Command Prompt or PowerShell as Administrator and run: dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart
Other
Claude Code, Codex, OpenCode, OpenClaw/ClawHub 등 각종 코딩 에이전트 지원합니다. /plugin marketplace add NomaDamas/k-skill /plugin install k-skill@k-skill