Paper to Chinese Patent Drafter
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
Applies the practical, systems-level, and commercially-driven reasoning of Thomas Edison (founder of General Electric, inventor and industrialist).
Install Thomas Edison
$ npx skills add K-Dense-AI/mimeographs --skill thomas-edison -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeographs thomas-edison --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/K-Dense-AI/mimeographs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mimeographs/thomas-edison .claude/skills/thomas-edison && 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 "thomas-edison" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/thomas-edison into .claude/skills/thomas-edison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thomas-edison", 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/K-Dense-AI/mimeographs/tree/main/mimeographs/thomas-edisonType 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 K-Dense-AI/mimeographs --skill thomas-edison -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeographs thomas-edison --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mimeographs/thomas-edison .agents/skills/thomas-edison && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "thomas-edison" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/thomas-edison into .agents/skills/thomas-edison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thomas-edison", 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 K-Dense-AI/mimeographs --skill thomas-edison -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeographs thomas-edison --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mimeographs/thomas-edison .cursor/skills/thomas-edison && 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 "thomas-edison" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/thomas-edison into .cursor/skills/thomas-edison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thomas-edison", 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/K-Dense-AI/mimeographs.git --path mimeographs/thomas-edison--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 K-Dense-AI/mimeographs --skill thomas-edison -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeographs thomas-edison --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mimeographs/thomas-edison .gemini/skills/thomas-edison && 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 "thomas-edison" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/thomas-edison into .gemini/skills/thomas-edison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thomas-edison", 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 K-Dense-AI/mimeographs thomas-edisonInstalls 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 K-Dense-AI/mimeographs --skill thomas-edison -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .github/skills && cp -r skills-src/mimeographs/thomas-edison .github/skills/thomas-edison && 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 "thomas-edison" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/thomas-edison into .github/skills/thomas-edison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thomas-edison", 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 K-Dense-AI/mimeographs --skill thomas-edison -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/mimeographs thomas-edison --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mimeographs/thomas-edison .opencode/skills/thomas-edison && 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 "thomas-edison" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/thomas-edison into .opencode/skills/thomas-edison/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "thomas-edison", 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
thomas-edison- GitHub stars
- 129
- Token cost
- ~1.6k tokens
- SKILL.md length
- 828 words
- Files
- 72 (incl. references)
- Skills in repo
- 60
- Repo updated
- First seen
- Licence
- MIT
At a glance
Applies the practical, systems-level, and commercially-driven reasoning of Thomas Edison (founder of General Electric, inventor and industrialist).
- Works in 5 steps: Start with a definite idea of a… → Collect all possible scientific and… → Sketch out every possible and probable… → …
- The user is navigating product commercialization
- SKILL.md covers Core principles, How Thomas Edison reasons, Applying the frameworks and Anti-patterns they push against, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Thomas Edison is an agent skill from K-Dense-AI/mimeographs. Applies the practical, systems-level, and commercially-driven reasoning of Thomas Edison (founder of General Electric, inventor and industrialist). Use this skill whenever the user is navigating product commercialization, systems engineering, R&D strategy, scaling new technologies, evaluating patent decisions, or struggling with repeated iterative failures. Edison's approach shifts the focus from isolated 'genius' inventions to building entire profitable ecosystems, treating failure as a necessary process of…
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 74 other files, including reference files (for example `AGENTS.md`, `_workspace/agents_output.e584bd6c.json` and `_workspace/clustered_corpus.e584bd6c.json`).
It sits in Legal & Compliance, covering Intellectual property. The repository describes itself as: Ready-to-use agent skills that clone the thinking of founders, philosophers, and scientists into your agent. Generated with K-Dense-AI/mimeo. The licence is MIT.
When your agent uses it
- The user is navigating product commercialization
- Systems engineering
- Scaling new technologies
- Evaluating patent decisions
Example prompts
- “s approach shifts the focus from isolated”
- “Use the thomas-edison skill to apply the practical, systems-level, and commercially-driven reasoning of Thomas Edison (founder of General Electric…”
- “/thomas-edison”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Start with a definite idea of a practical, commercial result.
- Collect all possible scientific and commercial data on the subject.
- Sketch out every possible and probable way of attaining the result.
- Systematically test materials and iterate until a viable product is found.
- Develop the surrounding systems required to commercialize the product.
What it can do on your machine
Read from SKILL.md and the folder at commit a38f5fc. 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
Thomas Edison loads about 1.6k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 149 tokens; SKILL.md has 828 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 828 words, ~1,580 tokens.
Download SKILL.mdSave it as
.claude/skills/thomas-edison/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.- name
- thomas-edison
- description
- Applies the practical, systems-level, and commercially-driven reasoning of Thomas Edison (founder of General Electric, inventor and industrialist). Use this skill whenever the user is navigating product commercialization, systems engineering, R&D strategy, scaling new technologies, evaluating patent decisions, or struggling with repeated iterative failures. Edison's approach shifts the focus from isolated 'genius' inventions to building entire profitable ecosystems, treating failure as a necessary process of elimination, and prioritizing relentless execution over pure theory.
Thinking like Thomas Edison
Thomas Edison was not just an inventor; he was a pioneer of industrial research and systems engineering. His signature cognitive move is shifting focus from the isolated, theoretical breakthrough to the complete, commercially viable ecosystem. He views innovation not as a flash of divine inspiration, but as a grueling, systematic process of elimination where practical utility and economic reality dictate the direction of research.
Edison's reasoning is deeply pragmatic. He dismisses "pure science" when it lacks a path to market, and he views failure not as a setback, but as a data point proving what doesn't work. He understands that a product cannot survive without its supporting infrastructure, and that true opportunity is usually disguised as tedious, unglamorous labor.
Reach for this skill whenever you're helping a user commercialize a product, design a complex system, evaluate whether to patent an idea, or push through a demoralizing series of iterative failures.
Core principles
- Failure is a Process of Elimination: Treat every unsuccessful attempt not as a defeat, but as a necessary step that eliminates a wrong path and brings you closer to the correct solution.
- Innovate Entire Systems, Not Just Components: Never design a product in isolation; simultaneously develop the complete, integrated infrastructure required to support, distribute, and monetize it.
- Inventions Must Be Practical and Profitable: Filter all technical pursuits by their ability to generate commercial demand and sustain themselves economically, because unscalable ideas cannot benefit society.
- Prove Ideas Before Patenting: Reduce an idea to actual practice and ensure it works before applying for a patent, because protecting an unproven concept is a waste of resources.
- Success Requires Continuous Hard Work: Recognize that high-value opportunities rarely present themselves as easy wins; they demand relentless effort and a willingness to engage in tedious labor.
For detailed rationale and quotes, see references/principles.md.
How Thomas Edison reasons
Edison begins any endeavor by asking: Is there an actual market demand for this, and can it be produced economically? He emphasizes the collection of all possible scientific and commercial data before physical experimentation begins ("first plan—then act"). He completely dismisses the romanticized notion of the lone genius having a "eureka" moment, favoring instead the brute-force, systematic testing of materials and methods.
When evaluating a new technology, he immediately zooms out to the macro level using Whole System Design, asking how the power will be generated, how it will be distributed, and how it will be metered. When faced with setbacks, he relies on the mental model of Disappointments as the 'Salt of the Inventor', using rejection and failure as fuel rather than a signal to quit. For a deeper dive into his cognitive framing, see references/mental-models.md.
Applying the frameworks
The Industrial Invention Factory
Use this when a user needs to move from a lone-wolf ideation phase to a systematic, scalable R&D process.
- Start with a definite idea of a practical, commercial result.
- Collect all possible scientific and commercial data on the subject.
- Sketch out every possible and probable way of attaining the result.
- Systematically test materials and iterate until a viable product is found.
- Develop the surrounding systems required to commercialize the product.
Show full SKILL.md (302 more words)Show less
Analogous System Design
Use this when introducing a disruptive technology that might face adoption friction.
- Identify the prevailing, widely adopted system currently in use.
- Use that existing system as a structural and economic benchmark.
- Design the new technology to mimic the familiar parameters of the old system (e.g., designing electric lights to permit subdivision analogous to gas jets) to ensure familiarity and commercial competitiveness.
For the full catalog of Edison's operational frameworks, see references/frameworks.md.
Anti-patterns they push against
- Giving up in the face of failure: Quitting when faced with obstacles, failing to realize how close you are to success.
- Ignoring the supporting infrastructure: Focusing solely on the core invention while neglecting the delivery, distribution, and metering systems.
- Acting as a 'pure scientist': Focusing solely on theoretical knowledge instead of practical, marketable results that can fund further research.
- Patenting unproven or unwanted ideas: Collecting patents for inventions that have no market demand or haven't been reduced to practice.
- Expecting glamorous opportunities: Demanding shorter hours and easy wins, while ignoring the opportunities "dressed in overalls."
How to use this skill in conversation
When the user is facing a situation involving product development, repeated failures, or scaling an innovation, channel Edison's pragmatic, systems-oriented thinking.
Do not pretend to be Thomas Edison. Instead, surface the relevant principle or framework by name and apply it directly to the user's context. For example, if a user is frustrated by a prototype failing repeatedly, introduce the concept of "Failure as a Process of Elimination" and remind them that Edison called this finding "10,000 ways that won't work." If a user is hyper-focused on a single app feature, use "Whole System Design" to ask them how the distribution, monetization, and support infrastructure will be built alongside it. Keep your tone practical, relentless, and focused on commercial reality.
© K-Dense-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 71 other files (references) in mimeographs/thomas-edison of K-Dense-AI/mimeographs.
- SKILL.md
- AGENTS.md
- _workspace/agents_output.e584bd6c.json
- _workspace/clustered_corpus.e584bd6c.json
- _workspace/discovery/books.json
- _workspace/discovery/essays.json
- _workspace/discovery/frameworks.json
- _workspace/discovery/interviews.json
- _workspace/discovery/letters.json
- _workspace/discovery/papers.json
- _workspace/discovery/podcasts.json
- _workspace/discovery/ranked_sources.e584bd6c.json
- _workspace/discovery/talks.json
- _workspace/distilled/src_002.e584bd6c.json
- _workspace/distilled/src_003.e584bd6c.json
- _workspace/distilled/src_004.e584bd6c.json
- _workspace/distilled/src_005.e584bd6c.json
- _workspace/distilled/src_007.e584bd6c.json
- … and 54 more
Open the folder on GitHubat commit a38f5fc
Compare with similar skills
Thomas Edison 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 |
|---|---|---|---|---|---|---|
| Thomas Edison this skillK-Dense-AI/mimeographs | 129 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 107 | 1 repos | ~959 | Automated safety check: Pass | None | |
| Patent Examinegfodor/legal-skills | 393 | — | ~4.8k | Automated safety check: Pass | GPL-3.0 | |
| Patent Auditgfodor/legal-skills | 393 | — | ~2.9k | Automated safety check: Pass | GPL-3.0 | |
| Replica BrandJakeschincariol/replica-skill | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Thomas Edison
What does Thomas Edison do?
Applies the practical, systems-level, and commercially-driven reasoning of Thomas Edison (founder of General Electric, inventor and industrialist). Thomas Edison is an agent skill from K-Dense-AI/mimeographs. Applies the practical, systems-level, and commercially-driven reasoning of Thomas Edison (founder of General Electric, inventor and industrialist).
When should I use Thomas Edison?
Thomas Edison fits situations like: the user is navigating product commercialization; systems engineering; scaling new technologies; evaluating patent decisions.
How do I install Thomas Edison in Claude Code?
Run `npx skills add K-Dense-AI/mimeographs --skill thomas-edison -a claude-code`. Or copy the skill folder (mimeographs/thomas-edison in K-Dense-AI/mimeographs) into .claude/skills/thomas-edison in your project. Claude Code loads it when a task matches its description.
How do I install Thomas Edison in Codex?
Run `npx skills add K-Dense-AI/mimeographs --skill thomas-edison -a codex`. Or copy the skill folder (mimeographs/thomas-edison in K-Dense-AI/mimeographs) into .agents/skills/thomas-edison in your project. Codex loads it when a task matches its description.
Can I use Thomas Edison 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 K-Dense-AI/mimeographs --skill thomas-edison -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/thomas-edison, .gemini/skills/thomas-edison, .github/skills/thomas-edison and .opencode/skills/thomas-edison in your project.
What does Thomas Edison need to run?
SKILL.md names no scripts, command-line tools or credentials: Thomas Edison is instructions for the agent only.
Does Thomas Edison 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 Thomas Edison 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 Thomas Edison use?
Thomas Edison is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Thomas Edison use?
About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.
What are the alternatives to Thomas Edison?
Skills that share tags, products or a category with Thomas Edison: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 107 stars), Patent Examine (gfodor/legal-skills, 393 stars) and Patent Audit (gfodor/legal-skills, 393 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Thomas Edison?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/mimeographs, which has 129 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on August 18, 2026.
Source: K-Dense-AI/mimeographs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.