laziness-protocol
Skill1 starsChanged 57 days agoMITView on GitHub
Bias toward deletion and the smallest change that solves the problem. Use when refactoring, evaluating diff size, or tempted to add an abstraction, a layer, or a new signal threaded through existing types.
2 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- rockcookies/skillsedited, first seen Oct 13, 2026
- ejarmand/skillsedited, first seen Sep 23, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- ejarmand/skills★ 168% same
- rockcookies/skills★ 182% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository27 other files it gives its agents.
- blast-radiusSkill
- codebase-designSkill
- code-reviewSkill
- create-verification-skillSkill
- designingSkill
- domain-modelingSkill
- handoffSkill
- hf-cliSkill
- howSkill
- implementSkill
- improve-codebase-architectureSkill
- interrogateSkill
- maintain-verification-skillSkill
- navigatorSkill
- no-commentsSkill
- prototypeSkill
- recallSkill
- redesign-from-first-principlesSkill
- researchSkill
- review-unpushedSkill
- scopeSkill
- show-me-your-workSkill
- technical-writingSkill
- tracerSkill
- unslopSkill
- whiteboardSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Prefer deletion: When asked to refactor or improve, look for removals before additions.
- Distinctive: line 13
Consolidate decisions: Do not repeat the same choice in several places.
- Distinctive: line 15
Question the threading: If a task asks you to pass a new signal through types, schemas, pipelines, or similar layers, stop and look for a …
- Distinctive: line 16
Sweat the small leaks: Remove tiny pass-throughs, representation leaks, and duplicated choices before they spread.
- Distinctive: line 18
The test: If a human developer would find the code exhausting to maintain, it is a bad solution.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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
Laziness Protocol
Aim for the most result with the least code and complexity.
- Prefer deletion. When asked to refactor or improve, look for removals before additions.
- Maintain a flat call hierarchy. Avoid deep call chains. A deep module, a lot of behavior behind a small interface, is not a deep call chain, and nothing here argues against one. If answering a question requires tracing through more than 3 files or layers, flatten it.
- Consolidate decisions. Do not repeat the same choice in several places. Put it behind a single source of truth and pass the result as a simple flag.
- Minimize the diff. Make the smallest change that solves the problem. Fewer lines beat "elegant" boilerplate.
- Question the threading. If a task asks you to pass a new signal through types, schemas, pipelines, or similar layers, stop and look for a more direct path.
- Sweat the small leaks. Remove tiny pass-throughs, representation leaks, and duplicated choices before they spread. Small leaks compound into permanent coordination costs.
The test: If a human developer would find the code exhausting to maintain, it is a bad solution.
Does 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.

