Lead Intelligence
affaan-m/ECC
AI原生的潜在客户情报与外联管道。取代Apollo、Clay和ZoomInfo，提供基于代理的信号评分、相互排名、温暖路径发现、来源驱动的语音建模以及跨电子邮件、LinkedIn和X的渠道特定外联。当用户想要查找、筛选并联系高价值联系人时使用。
A skill your agent uses when targeting Nature Machine Intelligence (Nat Mach Intell) or deciding whether an AI, ML, or robotics manuscript fits this venue.
No licenceAuto-check passed
Install Nature Machine Intelligence
$ npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills nature-machine-intelligence --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence .claude/skills/nature-machine-intelligence && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nature-machine-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence into .claude/skills/nature-machine-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-machine-intelligence", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills nature-machine-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence .agents/skills/nature-machine-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nature-machine-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence into .agents/skills/nature-machine-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-machine-intelligence", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills nature-machine-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence .cursor/skills/nature-machine-intelligence && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nature-machine-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence into .cursor/skills/nature-machine-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-machine-intelligence", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/franklee16/academic-research-skills.git --path Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills nature-machine-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence .gemini/skills/nature-machine-intelligence && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nature-machine-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence into .gemini/skills/nature-machine-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-machine-intelligence", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install franklee16/academic-research-skills nature-machine-intelligenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence .github/skills/nature-machine-intelligence && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nature-machine-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence into .github/skills/nature-machine-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-machine-intelligence", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install franklee16/academic-research-skills nature-machine-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence .opencode/skills/nature-machine-intelligence && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nature-machine-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence into .opencode/skills/nature-machine-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-machine-intelligence", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
nature-machine-intelligence- GitHub stars
- 223
- Used in
- 1 other repo
- Token cost
- ~2k tokens
- SKILL.md length
- 889 words
- Files
- 1
- Skills in repo
- 1,617
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when targeting Nature Machine Intelligence (Nat Mach Intell) or deciding whether an AI, ML, or robotics manuscript fits this venue.
- Targeting Nature Machine Intelligence (Nat Mach Intell)
- SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Deciding whether an AI
What it does
Nature Machine Intelligence is an agent skill from franklee16/academic-research-skills. Use when targeting Nature Machine Intelligence (Nat Mach Intell) or deciding whether an AI, ML, or robotics manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.
When your agent uses it
- Targeting Nature Machine Intelligence (Nat Mach Intell)
- Deciding whether an AI
- Robotics manuscript fits this venue
Example prompts
- “/nature-machine-intelligence”
What it can do on your machine
Read from SKILL.md and the folder at commit 9a4b2db. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Nature Machine Intelligence loads about 2k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 889 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 889 words (~1,957 tokens).
“Nature Machine Intelligence is a Springer Nature journal publishing research across machine learning, artificial intelligence, robotics, and their intersections with other sciences and society. It occupies the Nature-family tier, so the bar is not a strong ML method alone but…”
- name
- nature-machine-intelligence
Files
Just SKILL.md in Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence of franklee16/academic-research-skills.
Open the folder on GitHubat commit 9a4b2db
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Nature Machine Intelligence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nature Machine Intelligence this skillfranklee16/academic-research-skills | 223 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Lead Intelligenceaffaan-m/ECC | 276k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Threat Intelligencesickn33/agentic-awesome-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Genomic IntelligenceK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~6.2k | Automated safety check: Notes | MIT | |
| Agent Collective Intelligence Coordinatorruvnet/ruflo | 74k | 2 repos | ~1k | Automated safety check: Pass | MIT | |
| Managing Intelligence Lifecyclemukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
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Questions about Nature Machine Intelligence
What does Nature Machine Intelligence do?
A skill your agent uses when targeting Nature Machine Intelligence (Nat Mach Intell) or deciding whether an AI, ML, or robotics manuscript fits this venue. Nature Machine Intelligence is an agent skill from franklee16/academic-research-skills. Use when targeting Nature Machine Intelligence (Nat Mach Intell) or deciding whether an AI, ML, or robotics manuscript fits this venue.
When should I use Nature Machine Intelligence?
Nature Machine Intelligence fits situations like: targeting Nature Machine Intelligence (Nat Mach Intell); deciding whether an AI; robotics manuscript fits this venue.
How do I install Nature Machine Intelligence in Claude Code?
Run `npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence in franklee16/academic-research-skills) into .claude/skills/nature-machine-intelligence in your project. Claude Code loads it when a task matches its description.
How do I install Nature Machine Intelligence in Codex?
Run `npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/nature-machine-intelligence in franklee16/academic-research-skills) into .agents/skills/nature-machine-intelligence in your project. Codex loads it when a task matches its description.
Can I use Nature Machine Intelligence in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add franklee16/academic-research-skills --skill nature-machine-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-machine-intelligence, .gemini/skills/nature-machine-intelligence, .github/skills/nature-machine-intelligence and .opencode/skills/nature-machine-intelligence in your project.
What does Nature Machine Intelligence need to run?
SKILL.md names no scripts, command-line tools or credentials: Nature Machine Intelligence is instructions for the agent only.
Does Nature Machine Intelligence access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Nature Machine Intelligence safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Nature Machine Intelligence use?
No licence was found for Nature Machine Intelligence or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Nature Machine Intelligence use?
About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Nature Machine Intelligence?
Skills that share tags, products or a category with Nature Machine Intelligence: Lead Intelligence (affaan-m/ECC, 276k stars), Threat Intelligence (sickn33/agentic-awesome-skills, 47k stars), Genomic Intelligence (K-Dense-AI/scientific-agent-skills, 48k stars) and Agent Collective Intelligence Coordinator (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nature Machine Intelligence?
franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.
Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.