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Debuzz

Community
adnanakil
debuzz

Translate Claude's previous response (or any pasted text) into plain, direct English by piping it through the local Antigravity CLI (agy), with audience modes (colleague/manager/director) controlling how detailed vs. high-level the result is. Use whenever the user invokes /debuzz, asks to "de-buzzfeed" a reply, says "say that in normal english" / "translate that to regular person english", asks for a manager- or exec-friendly version of a reply, or complains that a response sounds hypey, dramatic, listicle-like, or "like buzzfeed".

Overview

Publisheradnanakil
Repositorynobuzz
Skill namedebuzz
Stars
278
Forks
7
Bundled files
Instructions only
LicenseMIT
Links
  • 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 adnanakil on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/adnanakil/nobuzz/tree/main/debuzz
  4. 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.
2

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/adnanakil/nobuzz.git /tmp/nobuzz
mkdir -p .claude/skills
cp -r /tmp/nobuzz/debuzz .claude/skills/debuzz
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Debuzz 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 Debuzz 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 Debuzz 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.

Debuzz — plain-English translation via Antigravity

The user finds Claude's default register grating: dramatic framing, suspense-building, listicle energy, phrases like "the load-bearing assumption" or "the third one is the most instructive yet." This skill reruns a response through the agy CLI (Google Antigravity) so they get the same content said like a normal person, at a chosen altitude. The point of using Antigravity (rather than rewriting it yourself) is an independent editor that doesn't share the original's stylistic habits — so do not paraphrase, tidy, or summarize the source text before or after the agy call.

Arguments

/debuzz [mode] [text] — both parts optional.

  • mode: if the first word of the arguments is colleague, manager, or director, that's the mode. Otherwise the mode is colleague.
  • text: whatever remains after the mode word is the text to translate. If empty, translate your own most recent substantive response — the one immediately before the user invoked the skill. Reproduce it faithfully from the conversation, word for word, including code blocks.

Examples: /debuzz (colleague mode, last reply) · /debuzz director (exec brief of last reply) · /debuzz manager <pasted text>.

Modes

Every mode shares the same style rules: plain declarative sentences, no dramatic framing, no suspense-building, no buzzy metaphors ("load-bearing assumption", "here's the kicker", "this changes everything"), no reveals, no hype. The modes differ only in audience and altitude:

  • colleague (default) — a competent engineer explaining it to a peer. Keep every technical fact, number, file path, command, and code block exactly intact. Only the style changes, not the substance; do not shorten beyond what removing fluff removes.
  • manager — an engineer updating a technical-adjacent manager. Lead with what happened / what was found, why it matters, and what happens next or what's needed. Keep key facts and numbers; drop code blocks, file paths, and implementation mechanics unless one is essential to the point. Target roughly a third of the original length.
  • director — an executive brief. Three to five sentences: the outcome, the impact or risk in business terms, and any decision or ask. No code, no file paths, no implementation detail. Assume thirty seconds of attention.

How

  1. Write the source text verbatim to a file in the scratchpad directory (e.g. debuzz-input.md). Use the Write tool, not shell echo, so quoting can't mangle it.

  2. Run agy in headless mode. agy's -p mode does not read stdin, and headless agy refuses to read files outside the project workspace (the scratchpad is outside it — asking it to "read the file at " fails with a read_file permission error). So embed the text directly in the prompt with $(cat …) instead of asking agy to read the file. Compose the prompt from the shared style rules plus the chosen mode's audience instructions. For example, colleague mode:

    bash
    agy -p "$(cat <scratchpad>/debuzz-input.md)
    
    Rewrite the text above in plain, direct English, as a competent engineer explaining it to a colleague. Remove dramatic framing, suspense-building, hype, and buzzy metaphors (e.g. 'load-bearing assumption', 'here's the kicker', 'the most instructive part', 'this changes everything'). Plain sentences, no reveals. Keep every technical fact, number, file path, command, and code block exactly intact — only the style changes, not the substance, and do not shorten beyond what removing fluff removes. Output only the rewritten text with no preamble or commentary."

    For manager and director, replace the audience sentence and the keep-everything clause with that mode's instructions from the Modes section (audience, what to keep vs. drop, target length), keeping the style-rules sentence and the "output only the rewritten text" closer unchanged.

    Give the command a generous timeout (120s+); a rewrite usually takes about 10 seconds, but the CLI can be slow to first token. agy's own --print-timeout defaults to 5m, which is plenty. If the default model is too slow, --model gemini-3.5-flash-medium is a faster choice for a pure rewrite task.

  3. Output agy's result to the user verbatim as your reply. Do not summarize it, wrap it in your own framing, or add a sign-off — any text you add reintroduces the voice being removed. A one-line lead like "Antigravity's translation (manager):" is the most you should add.

If agy fails

If the command errors (auth expired, network, rate limit), show the user the actual error and suggest the fix (usually running agy interactively once to redo the Google Sign-In flow). Only offer your own rewrite as a clearly labeled fallback — never silently substitute it, since the user specifically wants a second model's edit.

Frequently asked questions

What does the Debuzz AI skill do?

Translate Claude's previous response (or any pasted text) into plain, direct English by piping it through the local Antigravity CLI (agy), with audience modes (colleague/manager/director) controlling how detailed vs. high-level the result is. Use whenever the user invokes /debuzz, asks to "de-buzzfeed" a reply, says "say that in normal english" / "translate that to regular person english", asks for a manager- or exec-friendly version of a reply, or complains that a response sounds hypey, dramatic, listicle-like, or "like buzzfeed".

Why use Debuzz on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/adnanakil/nobuzz/tree/main/debuzz. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Debuzz?

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 Debuzz?

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

Is the Debuzz AI skill free?

Yes. It is published on GitHub by adnanakil 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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