Brag

OrganizationPopular

NousResearch

brag

Project launch video via Hyperframes, upstream-maintained.

Overview

Publisher	NousResearch
Repository	`hermes-agent`
Skill name	`brag`
Stars	250.4K
Forks	53.5K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 NousResearch on GitHub. Read the source before you install it.

Installation

Install the Brag 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/NousResearch/hermes-agent/tree/main/optional-skills/creative/brag
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/NousResearch/hermes-agent.git /tmp/hermes-agent
mkdir -p .claude/skills
cp -r /tmp/hermes-agent/optional-skills/creative/brag .claude/skills/brag

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

Use it in TypingMind

Enable Brag 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 Brag 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 Brag 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.

Brag (upstream-maintained)

Catalog stub. This entry is maintained upstream at latent-spaces/brag: the project ships the skill directory (skills/brag/) with its step references, tone presets, bundled music and SFX library, and cue-analysis script. hermes skills install official/creative/brag pulls the current tree live from that repo (quarantined and scanned like any hub install) — this directory holds only the catalog metadata, so the vendored copy can never go stale.

/brag reads the project in the current directory, commits to an angle and a tone (default, polished, yc-parody, chaotic, deadpan, cinematic, app-store, or freeform direction), storyboards a 15–25 second video, hands a composition brief to Hyperframes, and renders brag-output/brag.mp4 with a best-frame poster and share copy. Options: --tone, --format landscape|vertical|square, --duration, --title, --no-music, --no-sfx, and --voice (Kokoro narration, off by default).

On Claude Opus 5.5 it hands off to its bundled copy of brag-slim unless the invocation asks for --full or --voice.

Prerequisites

Node.js 22+, FFmpeg on PATH, and the Hyperframes CLI (npx hyperframes doctor confirms the environment).
The Hyperframes path (--full, --voice, or any model other than Opus 5.5) loads HeyGen's domain skills by name: hyperframes-core, hyperframes-animation, hyperframes-creative, hyperframes-keyframes and hyperframes-cli, installed with hermes skills install heygen-com/hyperframes/skills/<name>. The skills guard currently blocks four of the five on HTML comments and credential docs in their examples (hyperframes-creative scores dangerous, which --force cannot override), so that path is not fully installable yet. brag-slim has no such dependency. The optional hyperframes skill in this catalog is a single-file port and does not provide those names.
uv runs scripts/analyze_music_cues.py when a custom track needs beat-sync cues; the bundled tracks ship precomputed cues.
Installs pull ~290 files (~16 MB, mostly the bundled music and SFX) through the GitHub contents API. Set GITHUB_TOKEN or sign in with the gh CLI first; the anonymous limit of 60 requests an hour is too low for this bundle.

Full documentation: https://github.com/latent-spaces/brag#readme

Frequently asked questions

What does the Brag AI skill do?

Project launch video via Hyperframes, upstream-maintained.

Why use Brag on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/creative/brag. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brag?

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 Brag?

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

Is the Brag AI skill free?

Yes. It is published on GitHub by NousResearch 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

Brag (upstream-maintained)

Prerequisites

Frequently asked questions

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