MCP.Market

brag-slim skill

by NousResearch·NousResearch/hermes-agent·263k stars·MIT

Launch video from a project or URL, upstream-maintained.

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Install the brag-slim skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. 

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-slim ~/.claude/skills/brag-slim
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Brag Slim (upstream-maintained)

Catalog stub. This entry is maintained upstream at

latent-spaces/brag: the project

ships /brag-slim as a single SKILL.md under skills/brag-slim/. hermes

skills install official/creative/brag-slim pulls the current file 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-slim is the lean /brag, written for Claude Opus 5.5: no Hyperframes, no bundled assets. The model builds the whole launch video itself (story, visuals, music, sound effects, mix and render) with the tools already on the machine. It takes the current project directory or a website URL, reuses the source's real UI, fonts and assets instead of redrawing them, and writes brag-output/ with the plan, the rendered video and share copy. Options: --tone, --format landscape|vertical|square, --duration.

brag adds the classic Hyperframes workflow, the bundled soundtrack and SFX, and --voice narration (see its prerequisites). It includes this skill and hands off to it on Opus 5.5.

Prerequisites

that means FFmpeg for the audio mix and encode, plus a headless browser (Node with Playwright or Puppeteer, or Chrome) to draw frames from HTML and to capture websites that render their page with JavaScript.

  • No fixed toolchain: the model builds with whatever is installed. In practice

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

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