Technical Deslop

Community

vincentkoc

technical-deslop

Remove AI-style noise from staged and branch diffs while preserving behavior and repository style.

Overview

Publisher	vincentkoc
Repository	`dotskills`
Skill name	`technical-deslop`
Stars	112
Forks	9
Bundled files	4
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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by vincentkoc on GitHub. Read the source before you install it.

Installation

Install the Technical 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/vincentkoc/dotskills/tree/main/skills/technical-deslop
Enable the skill in any chat where you want it available.

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/vincentkoc/dotskills.git /tmp/dotskills
mkdir -p .claude/skills
cp -r /tmp/dotskills/skills/technical-deslop .claude/skills/technical-deslop

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

Use it in TypingMind

Enable Technical 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 Technical 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 Technical 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.

Technical Deslop

Purpose

Clean branch/staged diffs by removing AI-style slop and restoring repo-consistent style without changing behavior.

When to use

A diff feels over-explained, overly defensive, or inconsistent with surrounding code.
You need a final cleanup pass before review/PR.
You want to normalize style after automated generation.

Workflow

Capture scope with git diff --cached and git diff $(git merge-base origin/main HEAD)..HEAD.
Focus only on changed hunks (or user-scoped files).
Apply the cleanup sequence in references/playbook.md.
Remove slop patterns: redundant comments, unnecessary defensive branches, non-idiomatic casts, and style drift.
Re-check behavior boundaries: no logic changes unless the user explicitly requested them.
Report a short 1-3 sentence summary of cleanup performed.

Read references/slop-patterns.md for detection rules and references/playbook.md for execution order.

Inputs

Optional file scope (FILES) or explicit user file targets.
Current branch diff and staged diff.
Repository conventions from local instructions/config.

Outputs

Behavior-preserving cleanup in touched files.
Minimal summary of what was normalized and where.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Technical Deslop AI skill do?

Remove AI-style noise from staged and branch diffs while preserving behavior and repository style.

Why use Technical Deslop on TypingMind?

Because you install it once and use it with any model. Technical 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 Technical Deslop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vincentkoc/dotskills/tree/main/skills/technical-deslop. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Technical 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 Technical Deslop?

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

Is the Technical Deslop AI skill free?

Yes. It is published on GitHub by vincentkoc 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

Technical Deslop

Purpose

When to use

Workflow

Inputs

Outputs

Bundled files

Frequently asked questions

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