Setup Mulmoclaude
receptron/mulmoclaude
Interactively guide MulmoClaude setup following README instructions.
“Use this skill for floor bot analysis.”
$ npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install fossasia/eventyay-interpretation floor-bot-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/fossasia/eventyay-interpretation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/floor-bot-analysis .claude/skills/floor-bot-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "floor-bot-analysis" agent skill from https://github.com/fossasia/eventyay-interpretation/tree/dev/.agents/skills/floor-bot-analysis into .claude/skills/floor-bot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "floor-bot-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/fossasia/eventyay-interpretation/tree/dev/.agents/skills/floor-bot-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install fossasia/eventyay-interpretation floor-bot-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fossasia/eventyay-interpretation.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/floor-bot-analysis .agents/skills/floor-bot-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "floor-bot-analysis" agent skill from https://github.com/fossasia/eventyay-interpretation/tree/dev/.agents/skills/floor-bot-analysis into .agents/skills/floor-bot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "floor-bot-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install fossasia/eventyay-interpretation floor-bot-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fossasia/eventyay-interpretation.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/floor-bot-analysis .cursor/skills/floor-bot-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "floor-bot-analysis" agent skill from https://github.com/fossasia/eventyay-interpretation/tree/dev/.agents/skills/floor-bot-analysis into .cursor/skills/floor-bot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "floor-bot-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/fossasia/eventyay-interpretation.git --path .agents/skills/floor-bot-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install fossasia/eventyay-interpretation floor-bot-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fossasia/eventyay-interpretation.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/floor-bot-analysis .gemini/skills/floor-bot-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "floor-bot-analysis" agent skill from https://github.com/fossasia/eventyay-interpretation/tree/dev/.agents/skills/floor-bot-analysis into .gemini/skills/floor-bot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "floor-bot-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install fossasia/eventyay-interpretation floor-bot-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/fossasia/eventyay-interpretation.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/floor-bot-analysis .github/skills/floor-bot-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "floor-bot-analysis" agent skill from https://github.com/fossasia/eventyay-interpretation/tree/dev/.agents/skills/floor-bot-analysis into .github/skills/floor-bot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "floor-bot-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install fossasia/eventyay-interpretation floor-bot-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fossasia/eventyay-interpretation.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/floor-bot-analysis .opencode/skills/floor-bot-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "floor-bot-analysis" agent skill from https://github.com/fossasia/eventyay-interpretation/tree/dev/.agents/skills/floor-bot-analysis into .opencode/skills/floor-bot-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "floor-bot-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
floor-bot-analysisFloor Bot Analysis is a skill in fossasia/eventyay-interpretation (1.6k stars). Its SKILL.md is about 1k tokens. Licence: Apache-2.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1ca0139. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
dockerFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
jitsi.eventyay.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Floor Bot Analysis loads about 1k tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 485 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
, `https://jitsi.eventyay.com`) in your `.env`.Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from fossasia/eventyay-interpretation at commit 1ca0139, republished under its Apache-2.0 licence (© fossasia). 485 words, ~1,007 tokens.
.claude/skills/floor-bot-analysis/SKILL.md (or your agent's skills folder).This skill explains how to debug and analyze the Floor Bot feature in VoxBento, which bridges the Jitsi WebRTC audio floor track to the RTSP/MediaMTX infrastructure for transcription.
The floor-bot is a headless Playwright/Chromium container that joins the main Jitsi conference room (monitoring the floor channel). It captures the audio and sends it over a PulseAudio socket directly to FFmpeg. FFmpeg then pushes this audio via RTSP to MediaMTX, where the transcription worker pulls it and generates captions.
bot.py via an HTTP server. It listens on port 8080 for /start and /stop commands./tmp/pulse-{event_slug}.sock acts as the bridge. Chromium outputs to this socket, and FFmpeg reads from it.rtsp://mediamtx:8554/{event_slug}/floor./api/rooms/{room_id}/floor-transcription/start trigger the bot to join the Jitsi room and immediately spawn the transcription worker pointing to the floor channel.When deploying this architecture, understanding the network topology is critical.
JITSI_INTERNAL_BASE)jitsi-web. To bypass WebRTC HTTP origin blocking for getUserMedia, the backend automatically replaces localhost or jitsi.voxbento.com with the Docker-internal HTTPS URL: https://jitsi-web. The bot explicitly uses --ignore-certificate-errors and --unsafely-treat-insecure-origin-as-secure=https://jitsi-web.https://jitsi-web hostname will fail. You must set JITSI_INTERNAL_BASE to the public Jitsi URL (e.g., https://jitsi.eventyay.com) in your .env.MEDIAMTX_RTSP_BASE)rtsp://mediamtx:8554 (the container name inside Docker Compose).MEDIAMTX_RTSP_BASE environment variable. Both the floor-bot FFmpeg ingest and the backend transcription worker use this URL.FLOOR_BOT_BASE)http://floor-bot:8080.FLOOR_BOT_BASE to point to the correct pod/service DNS.Check if Playwright is muting the browser. Ensure --ignore_default_args=["--mute-audio"] is being passed. Also verify if the Jitsi UI is trying to acquire mic permissions and failing: Ensure --use-fake-device-for-media-stream is used.
Jitsi expects URL parameters (like userInfo.displayName) to be valid JSON strings. Ensure the display name is properly quote-wrapped and URL encoded:
urllib.parse.quote('"VoxBento FloorBot"') -> %22VoxBento%20FloorBot%22.
Ensure PULSE_SERVER="unix:/tmp/pulse-{event_slug}.sock" is properly passed to the Playwright chromium browser using the env= dictionary.
If FFmpeg reports loop/sync errors (Non-monotonous DTS), check the sample rate constraints in Jitsi vs Chromium vs FFmpeg.
Tail the Floor Bot Logs:
docker compose logs -f floor-bot
Check PulseAudio Connections inside Floor Bot:
docker compose exec floor-bot sh -c 'PULSE_SERVER="unix:/tmp/pulse-{event_slug}.sock" pactl list sink-inputs'
(If the browser is outputting audio correctly, you will see 'Chromium' listed as a client).
Check FFmpeg/MediaMTX Streaming:
docker compose logs -f mediamtx
(Look for: [path {event_slug}/floor] stream is online)
© fossasia, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/floor-bot-analysis of fossasia/eventyay-interpretation.
Open the folder on GitHubat commit 1ca0139
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in fossasia/eventyay-interpretation, which our catalogue first saw on October 7, 2026.
Floor Bot Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Floor Bot Analysis this skillfossasia/eventyay-interpretation | 1.6k | — | ~1k | Automated safety check: Notes | Apache-2.0 | |
| Setup Mulmoclaudereceptron/mulmoclaude | 368 | — | ~1k | Automated safety check: Notes | MIT | |
| Video Clip Repurposingpawbytes/skill-suites | 113 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Vhs Demobabarot/gh-infra | 136 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Remotion Best Practiceslyonjs/shortvid.io | 147 | 33 repos | ~1k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 59k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 |
receptron/mulmoclaude
Interactively guide MulmoClaude setup following README instructions.
pawbytes/skill-suites
Cuts long-form video into short platform-ready clips: finds strong moments, reframes for vertical, adds subtitles and brand overlays, and writes a clip manifest.
babarot/gh-infra
A skill your agent uses when running demo recordings, diagnosing recording failures, or regenerating GIFs from existing MP4s.
lyonjs/shortvid.io
Best practices for Remotion - Video creation in React. An agent skill from lyonjs/shortvid.io.
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Alisa0808/vox-director
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all…
fossasia/eventyay-interpretation
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute.
fossasia/eventyay-interpretation
Diagnosis loop for hard bugs and performance regressions. An agent skill from fossasia/eventyay-interpretation.
fossasia/eventyay-interpretation
Build and sharpen a project's domain model. An agent skill from fossasia/eventyay-interpretation.
fossasia/eventyay-interpretation
Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute.
fossasia/eventyay-interpretation
Migrate test files from as type assertions to @total-typescript/shoehorn.
fossasia/eventyay-interpretation
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo.
Categories
Run `npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a claude-code`. Or copy the skill folder (.agents/skills/floor-bot-analysis in fossasia/eventyay-interpretation) into .claude/skills/floor-bot-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a codex`. Or copy the skill folder (.agents/skills/floor-bot-analysis in fossasia/eventyay-interpretation) into .agents/skills/floor-bot-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fossasia/eventyay-interpretation --skill floor-bot-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/floor-bot-analysis, .gemini/skills/floor-bot-analysis, .github/skills/floor-bot-analysis and .opencode/skills/floor-bot-analysis in your project.
Going by SKILL.md and its folder, Floor Bot Analysis needs the command-line tools its instructions call (docker).
SKILL.md names 1 domain. In commands or code: jitsi.eventyay.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Floor Bot Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Floor Bot Analysis: Setup Mulmoclaude (receptron/mulmoclaude, 368 stars), Video Clip Repurposing (pawbytes/skill-suites, 113 stars), Vhs Demo (babarot/gh-infra, 136 stars) and Remotion Best Practices (lyonjs/shortvid.io, 147 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
fossasia (a GitHub organization) maintains it in fossasia/eventyay-interpretation, which has 1,551 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 5, 2026.
Source: fossasia/eventyay-interpretation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.