plankton-code-quality
by affaan-mplankton-code-quality is a write-time code quality system for Claude Code. It formats, lints, and can trigger Claude-powered fixes after each file edit, helping catch issues during editing instead of after commit or CI. Ideal for the plankton-code-quality skill, guide, and Code Editing workflows.
This skill scores 71/100, which is good enough to list. For directory users, it appears to offer real install value because it defines a specific write-time workflow: auto-formatting, linting, and Claude-powered fixes triggered on every file edit via hooks. The main caveat is that the repository is mostly explanatory prose in a single SKILL.md, so adoption will still require some user interpretation rather than a fully packaged, low-guesswork install experience.
- Specific trigger path: PostToolUse hooks on every file edit, not just commit-time checks
- Clear operational workflow: three-phase format, lint, then delegate-and-verify with model tiers
- Broad practical scope across common file types and languages, which increases reuse
- No install command or supporting scripts/resources, so users must assemble setup details themselves
- Limited supporting artifacts beyond SKILL.md, which reduces trust for edge cases and implementation fidelity
Overview of plankton-code-quality skill
What the plankton-code-quality skill does
plankton-code-quality is a write-time code quality system for Claude Code. It formats, lints, and can trigger Claude-powered fixes after each file edit, so problems are caught during editing instead of waiting for a commit or CI run.
Who should install it
This plankton-code-quality skill is a good fit if you want fewer cleanup passes, work across multiple languages, or need an agent workflow that prefers fixing code over weakening checks. It is especially relevant for teams that care about consistent formatting and lint discipline in active development.
Why it stands out
The main differentiator is the hook-based workflow: plankton-code-quality acts on edits, not just final output. That makes it more useful than a generic “please follow lint rules” prompt when you want enforcement, repeatability, and less drift during multi-file changes.
How to Use plankton-code-quality skill
Install and confirm the skill path
Use the repo install flow shown in the source: npx skills add affaan-m/everything-claude-code --skill plankton-code-quality. After install, confirm the skill is available in your Claude Code setup and that the skill files are present under skills/plankton-code-quality.
Read the right files first
Start with SKILL.md, because it explains the execution model and when the skill should run. Then inspect any surrounding repository guidance that may affect your environment or workflow. For this repo, the skill content is concentrated in one file, so SKILL.md is the main source of truth for plankton-code-quality usage.
Give the skill a complete editing goal
Best results come from prompts that describe the target file, the intended change, and the constraints that matter to linting and formatting. For example, say what language you are editing, whether you want the tool to preserve behavior, and whether you expect style-only cleanup or logic fixes. A stronger plankton-code-quality usage prompt is more like: “Update this TypeScript module to add retry logic, keep the public API unchanged, and preserve current lint rules,” rather than “make this better.”
Use it where hooks add real value
plankton-code-quality for Code Editing is most useful when you are making repeated changes across files and want each edit checked immediately. It is less valuable for purely exploratory brainstorming, one-off text generation, or repos where you intentionally bypass lint rules during prototyping.
plankton-code-quality skill FAQ
Is plankton-code-quality better than a normal prompt?
Yes, when you want enforcement instead of advice. A normal prompt can remind the model to follow formatting and lint rules, but plankton-code-quality is designed to react after file edits and help correct violations with a defined workflow.
What languages and files does it fit best?
The repository explicitly targets common code and config formats such as Python, TypeScript, Shell, YAML, JSON, TOML, Markdown, and Dockerfile. That makes the plankton-code-quality skill a strong fit for polyglot repos and infrastructure-heavy projects.
When should I not use it?
Skip it if your project has no meaningful formatter or linter baseline, if you want manual-only editing, or if hook-driven automation would slow down quick throwaway changes. It is also a weaker fit if your main need is architecture planning rather than edit-time code quality.
Is it beginner-friendly?
Yes, if you already know how to describe the change you want. The skill reduces cleanup work, but it still works best when you specify the file, the intended behavior, and any constraints on preserving APIs or formatting.
How to Improve plankton-code-quality skill
Provide stronger edit constraints
The most useful improvement for plankton-code-quality is to tell the system what must not change. Name the file, the acceptable scope of edits, the coding standard you want preserved, and whether the result should favor minimal diffs or more complete refactors.
Make failure modes explicit
The common way this skill underperforms is when the request is too broad, so the agent fixes style but misses intent. If you expect type changes, imports, test updates, or doc updates, say so up front. That helps the skill route fixes more accurately and avoids repetitive back-and-forth.
Review the first pass with a narrow checklist
After the first output, check three things: whether formatting was normalized, whether lint-risk areas were addressed, and whether any auto-fixes changed behavior. If the result is close but not quite right, iterate by adding one concrete instruction at a time instead of reissuing the same broad request.
Tune the workflow to your repo
plankton-code-quality works best when its rules match your repository’s actual toolchain. If your project uses different linters, different formatters, or stricter conventions than the defaults, align the skill to that environment so the plankton-code-quality guide reflects your repo instead of a generic setup.