Operations
travisjneuman/.claude
Operations excellence expertise for supply chain optimization, process improvement (Lean, Six Sigma), capacity planning, vendor management, quality assurance, and operational efficiency.
A skill your agent uses whenever reasoning about manufacturing, scaling production, pricing strategies, operational efficiency, vertical integration, or labor compensation.
$ npx skills add K-Dense-AI/mimeographs --skill henry-ford -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeographs henry-ford --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/henry-ford .claude/skills/henry-ford && 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 "henry-ford" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/henry-ford into .claude/skills/henry-ford/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "henry-ford", 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/henry-fordType 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 henry-ford -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeographs henry-ford --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/henry-ford .agents/skills/henry-ford && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "henry-ford" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/henry-ford into .agents/skills/henry-ford/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "henry-ford", 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 henry-ford -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeographs henry-ford --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/henry-ford .cursor/skills/henry-ford && 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 "henry-ford" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/henry-ford into .cursor/skills/henry-ford/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "henry-ford", 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/henry-ford--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 henry-ford -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeographs henry-ford --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/henry-ford .gemini/skills/henry-ford && 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 "henry-ford" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/henry-ford into .gemini/skills/henry-ford/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "henry-ford", 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 henry-fordInstalls 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 henry-ford -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/henry-ford .github/skills/henry-ford && 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 "henry-ford" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/henry-ford into .github/skills/henry-ford/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "henry-ford", 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 henry-ford -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 henry-ford --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/henry-ford .opencode/skills/henry-ford && 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 "henry-ford" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/henry-ford into .opencode/skills/henry-ford/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "henry-ford", 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.
henry-fordA skill your agent uses whenever reasoning about manufacturing, scaling production, pricing strategies, operational efficiency, vertical integration, or labor compensation.
Henry Ford is an agent skill from K-Dense-AI/mimeographs. Use this skill whenever reasoning about manufacturing, scaling production, pricing strategies, operational efficiency, vertical integration, or labor compensation. Trigger this skill for situations involving hardware development, supply chain optimization, mass-market economics, or when a founder is deciding between outside investment and bootstrapping. Apply Henry Ford's principles of absolute operational control, continuous manufacturing improvement, and treating efficiency as a service to the consumer. Reach…
Its SKILL.md is about 1.3k 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 Security, covering Supply chain security and Pricing strategy. 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a38f5fc. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Henry Ford loads about 1.3k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 168 tokens; SKILL.md has 625 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.
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.
The full file from K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 625 words, ~1,314 tokens.
.claude/skills/henry-ford/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.Henry Ford, founder of Ford Motor Company and pioneer of assembly line manufacturing, approaches business as an engine for societal transformation through extreme scale and efficiency. His thinking is defined by a relentless drive to turn luxury goods into everyday utilities for the masses, achieved by standardizing production, vertically integrating supply chains, and completely rejecting outside financial interference.
Reach for this skill whenever you're advising on manufacturing, physical product scaling, pricing strategy, supply chain optimization, or founder control.
For detailed rationale and quotes, see references/principles.md.
Ford reasons from the factory floor upward, viewing the entire manufacturing plant not as a collection of workshops, but as one massive, integrated machine (see The Factory as a Machine). He asks first: "How can we make this simpler and cheaper to produce?" He emphasizes execution and continuous evolutionary improvement, while completely dismissing the value of abstract ideas, historical precedent ("history is bunk"), and financial engineering. He distrusts outside influence deeply, preferring Vertical Integration to control every variable from raw material to finished good.
For his complete set of mental models, see references/mental-models.md.
When to use: A user wants to scale a high-priced or niche product to a massive audience.
When to use: A business is facing financial pressure and needs to increase cash flow without taking on debt.
For the full catalog of operational frameworks, see references/frameworks.md.
When a user is dealing with hardware, manufacturing, or scaling, channel Ford's obsession with efficiency and mass-market accessibility. If they are considering taking on investors who might compromise their operational vision, warn them against "ceding control to financiers" and suggest optimizing their cash flow internally. If they are debating product features, advise them to "eliminate dead weight" and focus on "continuous manufacturing improvement" rather than cosmetic redesigns. Cite his concepts directly (e.g., "Henry Ford's approach to Mass-Market Economics suggests..."). Do not roleplay as Ford; simply apply his uncompromising, operations-first logic to the user's problem.
© 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
SKILL.md and 71 other files (references) in mimeographs/henry-ford of K-Dense-AI/mimeographs.
Open the folder on GitHubat commit a38f5fc
Henry Ford 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 |
|---|---|---|---|---|---|---|
| Henry Ford this skillK-Dense-AI/mimeographs | 129 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Operationstravisjneuman/.claude | 100 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Sustainability Esgtravisjneuman/.claude | 100 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 481 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Eu CraSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~4k | Automated safety check: Pass | MIT |
travisjneuman/.claude
Operations excellence expertise for supply chain optimization, process improvement (Lean, Six Sigma), capacity planning, vendor management, quality assurance, and operational efficiency.
travisjneuman/.claude
Sustainability and ESG expertise for ESG strategy, carbon footprint management, sustainable supply chains, circular economy, renewable energy, climate risk, and ESG reporting (GRI, SASB, TCFD).
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
yan-labs/serenity-aleabitoreddit
Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert EU Cyber Resilience Act (CRA) advisor for Regulation (EU) 2024/2847 — mandatory cybersecurity and vulnerability handling requirements for all products with digital elements (PDEs) sold in the…
cdppcorp/KESE-KIT
Run a pre-deployment security compliance checklist based on KISA guidelines.
K-Dense-AI/mimeographs
Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study).
K-Dense-AI/mimeographs
Applies the strategic, philanthropic, and operational frameworks of Andrew Carnegie, founder of Carnegie Steel.
K-Dense-AI/mimeographs
Applies the strategic frameworks and mental models of Anne Wojcicki, co-founder and CEO of 23andMe.
K-Dense-AI/mimeographs
Applies the frameworks of Aristotle (ancient Greek philosopher, logic, ethics, metaphysics, 384-322 BCE) to decision-making, ethics, and analysis.
K-Dense-AI/mimeographs
Applies the computational biology and AI-driven reasoning of Aviv Regev (computational biologist, Genentech, single-cell genomics).
K-Dense-AI/mimeographs
Apply the mental models of Bill Gates, co-founder of Microsoft and philanthropist.
Categories
A skill your agent uses whenever reasoning about manufacturing, scaling production, pricing strategies, operational efficiency, vertical integration, or labor compensation. Henry Ford is an agent skill from K-Dense-AI/mimeographs. Use this skill whenever reasoning about manufacturing, scaling production, pricing strategies, operational efficiency, vertical integration, or labor compensation.
Henry Ford fits situations like: reasoning about manufacturing; scaling production; pricing strategies; operational efficiency.
Run `npx skills add K-Dense-AI/mimeographs --skill henry-ford -a claude-code`. Or copy the skill folder (mimeographs/henry-ford in K-Dense-AI/mimeographs) into .claude/skills/henry-ford in your project. Claude Code loads it when a task matches its description.
Run `npx skills add K-Dense-AI/mimeographs --skill henry-ford -a codex`. Or copy the skill folder (mimeographs/henry-ford in K-Dense-AI/mimeographs) into .agents/skills/henry-ford in your project. Codex loads it when a task matches its description.
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 henry-ford -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/henry-ford, .gemini/skills/henry-ford, .github/skills/henry-ford and .opencode/skills/henry-ford in your project.
SKILL.md names no scripts, command-line tools or credentials: Henry Ford is instructions for the agent only.
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.
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.
Henry Ford is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.3k 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 3.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Henry Ford: Operations (travisjneuman/.claude, 100 stars), Sustainability Esg (travisjneuman/.claude, 100 stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.