Deslop

Community

AnastasiyaW

deslop

Remove AI-generated code noise from the current diff while preserving behavior. Use for deslop, AI slop cleanup, unnecessary comments, defensive checks, any casts, or needless nesting after an agent-generated change. Do not use as permission for a broad rewrite or when a real bug has not been isolated.

Overview

Publisher	AnastasiyaW
Repository	`codex-claude-code-config`
Skill name	`deslop`
Stars	212
Forks	32
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by AnastasiyaW on GitHub. Read the source before you install it.

Installation

Install the Deslop AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/development/deslop
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/development/deslop

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-config.git /tmp/codex-claude-code-config
mkdir -p .claude/skills
cp -r /tmp/codex-claude-code-config/skills/development/deslop .claude/skills/deslop

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deslop in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deslop on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deslop is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Deslop

Review only the branch diff against its intended base and remove noise that does not belong in the local code style. Keep the behavior and public contract unchanged unless a clear, separately verified bug is fixed.

Review Targets

comments that narrate obvious code or contradict local conventions;
defensive checks or catch blocks abnormal for a trusted path;
any, unsafe casts, or optionality used only to silence a type checker;
deep nesting that can be made clearer with early returns or a named helper;
one-off wrappers, flags, and branches inconsistent with the surrounding module;
C++ ownership or error-handling scaffolding that is redundant with the established RAII/contract boundary.

Workflow

Inspect the base, diff, local style, tests, and ownership boundaries.
Classify each candidate as noise, a clear bug, or an intentional contract.
Remove only confirmed noise in a focused edit.
Run the narrow relevant checks and inspect the final diff.
If the structure needs a real redesign, stop deslop and use refactoring-safely, architecture-quality, or thermo-nuclear-code-quality-review.

Do not delete comments that explain a non-obvious invariant, security boundary, ABI constraint, workaround with an owner, or externally required behavior.

Gotchas

Shorter code is not automatically clearer; preserve names and boundaries that carry domain meaning.
A broad formatter run can hide behavior changes and is not deslop proof.
Removing a defensive check without proving the trusted-path invariant can turn cleanup into a regression.
In C++, exception and ownership code may look repetitive while protecting an ABI or lifetime boundary; inspect callers before removing it.

Troubleshooting

Symptom	Likely cause	Action
Cleanup changes a test result	Candidate was behavior, not noise	Revert that candidate and isolate the real contract
Diff is too broad	Tool ran over the whole tree	Restrict review to the branch diff and restore unrelated files
Comment seems redundant but explains a constraint	Context is outside the file	Read the owning docs/tests before changing it
Code remains structurally tangled	Deslop is the wrong scope	Escalate to a planned refactor with characterization tests

Source

Adapted from Cursor Team Kit's MIT-licensed deslop workflow: https://github.com/cursor/plugins/tree/main/cursor-team-kit/skills/deslop

Frequently asked questions

What does the Deslop AI skill do?

Why use Deslop on TypingMind?

Because you install it once and use it with any model. Deslop is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deslop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/development/deslop. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deslop?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deslop?

As many as you like. As long as a model supports skills, you can use Deslop with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deslop AI skill free?

Yes. It is published on GitHub by AnastasiyaW under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Deslop

Review Targets

Workflow

Gotchas

Troubleshooting

Source

Frequently asked questions

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