practical-skills
AGENTS.md1 starsChanged 9 months agoMITView on GitHub
Instructions for AI coding agents contributing to this repository. This is a collection of SKILL.md files that provide accurate, step-by-step instructions for physical-world tasks. Skills cover trades, crafts, medical procedures, domestic tasks, and other disciplines that require physical embodiment to perform. Every SKILL.md must begin with YAML frontmatter: The description field should: - List positive triggers (what user messages should activate this skill) - Include a "Do NOT use for" clause that distinguishes the physical task from its common software…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository12 other files it gives its agents.
- automotiveSkill
- babysittingSkill
- cookingSkill
- electricalSkill
- gardeningSkill
- haircutSkill
- lifeguardingSkill
- movingSkill
- plumbingSkill
- potterySkill
- roofingSkill
- surgerySkill
The file
We split this AGENTS.md into the rules it gives an agent
9 rules. About 0 are common, 8 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 21
Every SKILL.md must begin with YAML frontmatter:
- Distinctive: line 41
Specificity over generality: Use real measurements, real tool names, real product specifications.
- Distinctive: line 43
No software metaphors: Do not map physical tasks onto CLI commands, file system operations, or programming concepts.
- Distinctive: line 56
Use prose paragraphs for procedures, not numbered steps or code blocks
- Distinctive: line 59
Write in second person ("Remove the spark plug" not "The spark plug should be removed")
- Distinctive: line 60
Keep the tone instructional and direct — like a senior tradesperson explaining the work to an apprentice
- Distinctive: line 64
If correcting a factual error, cite the source of the correct information in your commit message.
- Distinctive: line 66
Do not add software metaphors or jokes to existing skills.
- Distinctive: line 70
Before submitting a new skill, verify:
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md
Instructions for AI coding agents contributing to this repository.
Project Overview
This is a collection of SKILL.md files that provide accurate, step-by-step instructions for physical-world tasks. Skills cover trades, crafts, medical procedures, domestic tasks, and other disciplines that require physical embodiment to perform.
Repository Structure
skills/— Each subdirectory contains a singleSKILL.mdfile for one disciplineREADME.md— Project overview and skill index for humansAGENTS.md— You are reading thisCLAUDE.md— Claude Code-specific instructionsLICENSE— MIT
Writing a New Skill
Frontmatter
Every SKILL.md must begin with YAML frontmatter:
---
name: skill-name
description: "Trigger conditions and exclusions."
license: Required certifications or licenses for the task.
---The description field should:
- List positive triggers (what user messages should activate this skill)
- Include a "Do NOT use for" clause that distinguishes the physical task from its common software metaphor (e.g., "Do NOT use for data leaks" in the plumbing skill, "Do NOT use for moving files between directories" in the moving skill)
The license field should state the real-world certifications or licenses required to perform the task professionally.
Content Standards
Accuracy is non-negotiable. Every instruction must be something a real practitioner would recognize as correct. If you are unsure about a measurement, technique, or specification, research it. Do not guess. A plumber reading the plumbing skill should nod. A surgeon reading the surgery skill should find no clinical errors.
Specificity over generality. Use real measurements, real tool names, real product specifications. "Use a 3/4" spade bit" is correct. "Use an appropriate drill bit" is not.
No software metaphors. Do not map physical tasks onto CLI commands, file system operations, or programming concepts. The instructions should read as a genuine procedural guide for the task, written in the same structured format as a software skill file.
No winking. The skill must not acknowledge, reference, or joke about the fact that its reader cannot physically perform the task. The comedy is structural, not textual. Maintain a completely straight face.
Required Sections
- Overview — What the domain is, how the system works, relevant theory
- Prerequisites — Tools, materials, certifications, and conditions required
- Procedures — Step-by-step instructions for one or more core tasks in the discipline
- Common Mistakes — Real errors practitioners make, why they happen, and how to avoid them
Style Guide
- Use prose paragraphs for procedures, not numbered steps or code blocks
- Include specific measurements with units (imperial primary, metric in parentheses where helpful)
- Reference specific tool sizes, material grades, and manufacturer specifications
- Write in second person ("Remove the spark plug" not "The spark plug should be removed")
- Keep the tone instructional and direct — like a senior tradesperson explaining the work to an apprentice
Editing Existing Skills
If correcting a factual error, cite the source of the correct information in your commit message. Accuracy matters more than style in this project.
Do not add software metaphors or jokes to existing skills. If a skill currently contains any, remove them.
Validation
Before submitting a new skill, verify:
- Frontmatter includes name, description (with "Do NOT use for" clause), and license
- All measurements and specifications are accurate and sourced
- Tool names and sizes are specific and correct
- Procedures are in a logical order
- Common Mistakes section contains real errors, not hypothetical ones
- No software metaphors, CLI commands, or programming references
- No acknowledgment that the reader is an AI agent
- Tone is consistent with existing skills
Reference Files
Skills that involve specific measurements, specifications, or lookup tables should include a references/ directory with supplementary reference material. These files are loaded on demand by the agent, not at skill activation.
skill-name/
├── SKILL.md
└── references/
└── REFERENCE-NAME.mdReference files should be formatted as tables or structured data — the kind of thing a tradesperson would tape to a toolbox or hang on a shop wall. Link to reference files from the SKILL.md body so the agent knows when to load them.
Commands
This is a documentation-only repository. There is no build step, no test suite, and no CI pipeline. The only artifact is Markdown.
# Lint markdown (optional)
npx markdownlint-cli2 "**/*.md"
# Validate skill format (requires skills-ref from agentskills.io)
skills-ref validate ./skills/skill-nameDoes it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

