minimalist

Overview of minimalist skill

What minimalist is for

minimalist is a Code Generation skill for solving programming tasks with the least necessary code. It is designed to stop common AI coding drift: adding helper layers too early, introducing packages for simple operations, creating “future-proof” abstractions nobody asked for, or expanding a small fix into a framework.

Best-fit users and projects

The minimalist skill fits developers who want concise patches, maintainable small changes, fewer dependencies, and code that follows the existing repository instead of inventing a new style. It is especially useful in production codebases where review cost matters, dependency policy is strict, or the requested change should be narrow and low-risk.

Core decision rule

The skill uses an efficiency ladder before writing new code: avoid building what is not needed, reuse existing code, prefer the standard library, use native platform features, rely on already-installed dependencies, choose a one-liner when clear, and only then write the minimum new implementation. This makes minimalist stronger than a generic “keep it simple” prompt because it gives the agent an ordered decision process.

When minimalist is not the right fit

Do not use minimalist when you explicitly need architecture exploration, extensible framework design, teaching-oriented verbose examples, or a greenfield design with planned variation points. It can also underperform if the task requires a deliberate abstraction for security, compatibility, testability, or public API stability and you do not state that requirement clearly.

How to Use minimalist skill

minimalist install and repository check

Install the skill with:

npx skills add alirezarezvani/claude-skills --skill minimalist

The upstream skill lives at engineering/minimalist in alirezarezvani/claude-skills. The main file to inspect is SKILL.md; there are no separate rules/, references/, resources/, or helper scripts in the file tree preview, so the skill’s behavior is concentrated in that one document. Read the efficiency ladder and rules before adopting it, because they define the tradeoff: smaller output over speculative completeness.

Inputs the skill needs

For best minimalist usage, give the agent the current code context and the exact boundary of the change. Useful inputs include the target file paths, existing helper functions, dependency constraints, runtime version, failing test or error message, and what should not be changed. The skill works best when it can search for reuse before writing new code.

Weak prompt: “Add validation.”

Stronger prompt: “Use the minimalist skill. In src/forms/signup.ts, validate email and password before submit. Reuse existing validators if present. Do not add dependencies or new abstraction layers. Keep the patch limited to this form and update only the nearby tests needed for this behavior.”

Workflow for code generation

Start by asking the agent to inspect the local pattern first: existing utilities, standard library equivalents, native platform APIs, and installed dependencies. Then ask for the smallest patch that satisfies the task. After the first output, review whether every new function, type, dependency, and branch is justified by a current requirement. If it is not, ask the agent to collapse it.

A practical minimalist guide workflow is:

1. State the exact user-visible behavior or bug.
2. Name files or modules that are in scope.
3. Require reuse before new code.
4. Ban new dependencies unless the agent explains why existing options fail.
5. Ask for a short rationale listing what was intentionally not built.

Prompt patterns that improve results

Use prompts that make the efficiency ladder explicit. For example: “Before coding, tell me whether this can be solved by deletion, configuration, reuse, stdlib, native API, or an existing dependency.” This forces the skill to avoid jumping straight to implementation.

For larger tasks, split the request: first ask for a minimal plan, then approve only the smallest viable patch. This prevents the agent from producing a broad refactor when you only need a local fix.

minimalist skill FAQ

How is minimalist different from an ordinary prompt?

An ordinary “write simple code” prompt is easy for an agent to ignore once implementation begins. minimalist gives a repeatable ordering: YAGNI, reuse, standard library, native platform, existing dependency, one-liner, then minimum new code. That ordering helps the agent justify not writing code, which is often the most valuable outcome.

Is minimalist suitable for beginners?

Yes, if the beginner wants to learn pragmatic coding discipline. It can show that many tasks do not require new classes, packages, or patterns. However, beginners should still ask for brief explanations, because the skill may intentionally skip broader educational scaffolding in favor of compact production-style changes.

Does minimalist work for all languages?

The minimalist skill is language-agnostic, but the best results depend on giving language-specific constraints. Mention the runtime, framework, package manager, and standard library expectations. For example, Python, Node.js, Go, Java, and browser code all have different “native” options, so the agent needs context to choose correctly.

When should I avoid minimalist for Code Generation?

Avoid it when the job is to design a public API, create an extensible plugin system, compare architectural alternatives, or generate a comprehensive starter project. Also avoid it when the business requirement values explicit structure over short code, such as regulated workflows, complex audit trails, or intentionally layered enterprise systems.

How to Improve minimalist skill

Give minimalist stronger constraints

minimalist improves when you provide constraints that make “minimum” measurable. Say whether new files are allowed, whether dependencies are forbidden, whether tests must be added, and which behavior is out of scope. A strong constraint set prevents the agent from turning a small fix into a cleanup project.

Example: “Do not rename public methods, do not touch unrelated formatting, do not introduce a service class, and prefer changing the existing function unless that would duplicate logic.”

Catch common failure modes

Watch for hidden over-engineering: single-use helpers, generic type parameters with one caller, wrapper functions around standard library calls, new config files, new dependencies, or broad refactors bundled with the requested change. Ask the agent to remove anything not required by the current task.

Also watch for under-building. Minimal code still needs to handle the stated edge cases, preserve existing tests, and remain readable to maintainers. The goal is not shortest possible code; it is the smallest code that correctly solves the real problem.

Iterate after the first output

After receiving a patch, ask three review questions: “What code did you avoid writing?”, “Which existing code did you reuse?”, and “Can any new abstraction be inlined safely?” These questions align directly with the minimalist skill and usually produce a tighter second version.

If the result is too terse, ask for clarity without adding structure: “Keep the same minimal approach, but improve naming and add one focused test.” That preserves the skill’s value while addressing maintainability.

Adapt the skill to team standards

For team use, pair minimalist with repository conventions. If your project requires tests for every behavior change, say so. If dependency additions require approval, make that explicit. If your codebase prefers clarity over one-liners, tell the agent that one-liners are acceptable only when they remain readable. This turns minimalist from a general restraint into a practical engineering policy.