setup
Skill6 starsChanged 28 days agoMITView on GitHub
Set up BashCut's recommended plugins (captions, Vietnamese voice, silence markers, pre-production, AI Editor), trusted automatically unless the user turned that off (then with one approval in the app), and check they work. Only when the user types /bc:setup. Triggers: "/bc:setup", "cài plugin đề xuất", "setup BashCut".
191 other projects use a version of this.
Adopted by
Most recently taken up by
- hydra-db/hydradb-claude-codetheir own version, first seen Nov 8, 2026
- WALKERKILLER/Look-Tongji-Notestheir own version, first seen Nov 8, 2026
- steerlabs/opensteertheir own version, first seen Nov 8, 2026
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- dsifry/metaswarmtheir own version, first seen Nov 8, 2026
- anombyte93/prd-taskmastertheir own version, first seen Nov 8, 2026
Used with
Projects with it also use add-voice-transcription, add-discord and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
juancruzmunozalbeloSkilladd-voice-transcription
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
Also in 5 projects that use this
MicrosoftSkilladd-discord
Add Discord bot channel integration via Chat SDK.
Also in 11 projects that use this
MicrosoftSkilladd-slack
Add Slack channel integration via Chat SDK.
Also in 11 projects that use this
juancruzmunozalbeloSkilladd-telegram-swarm
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
Also in 7 projects that use this
- +8 more from microsoft
Other versions191 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 191
- anthropics/knowledge-work-plugins★ 35ksame name
- garrytan/gbrain★ 32ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- Q00/ouroboros★ 6.3ksame name
- pytorch/executorch★ 5.2ksame name
- agenticnotetaking/arscontexta★ 3.5ksame name
- aws/agent-toolkit-for-aws★ 3.4ksame name
- spotify/portal-ai-plugins★ 2.8ksame name
181 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository16 other files it gives its agents.
- audio-mixSkill
- beat-cutSkill
- captions-textSkill
- color-gradeSkill
- edit-workflowSkill
- effectsSkill
- footage-surveySkill
- librarySkill
- motion-graphicsSkill
- reviewSkill
- rough-cutSkill
- self-learnSkill
- stock-imagesSkill
- style-studySkill
- visual-planSkill
- voiceoverSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 170 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 56
Do not ask them to send it to you.
- Very specific: line 65
Prefer the typed command (voice speak, captions generate, beats detect, a plugin skill's own script), then plugins run ACTION.
“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Setting up BashCut's recommended plugins
Plain words: the user may not be technical. Never paste raw JSON at them. The user typed /bc:setup, so they
want the recommended plugins. Plugins are trusted automatically unless the user turned that off (Settings ›
Plugins), then they approve in the app. Never turn a plugin on that the user turned off, never change that
setting, and never ask for API keys or passwords in the chat.
1. See what is missing
bashcut plugins bundlesThe starter bundle (Recommended) lists each plugin (installable, default, reason, sizes). If nothing is
installable, say everything is already installed and go to step 4.
2. Tell the user what they get
One short line per installable plugin, from its name: what it does for their videos, not its ID. Say which ones
start unchecked (for example Antigravity) and the total download size. If the user already said they do not want
some, check only the rest with --only.
3. Install
bashcut plugins install --bundle starter
bashcut plugins install --bundle starter --only bashcut.whisper-captions,bashcut.vieneu-ttsbashcut jobs wait JOB gives approval:
approved: the install already runs (default plugins or the--onlyones). Say it is installing.pending: the Plugins window shows a checkbox per plugin. Tell the user: "Kiểm tra danh sách rồi bấm Install trong cửa sổ Plugins" (or the same in their language). They can uncheck any plugin.queuedwithposition: another install runs first; this one starts after it. Do not ask again.none: everything is installed.
The install runs as the user's job (plugins.install) and can take minutes (models download). Wait with
bashcut jobs status (after pending, or ask the user to say when the Plugins window says it is installed),
then go to step 4. Never start another install while one runs.
4. Check they work
bashcut plugins list --health
bashcut capabilities getFor each plugin that is not ready, explain the health detail in one sentence and what comes next:
- An API key or login: the user enters it in Plugins › the plugin › Options (or signs in where the detail says). Do not ask them to send it to you.
- A missing tool or a failed setup: run
bashcut plugins setup PLUGINonce;approved: wait for the job, then checkplugins list --healthagain;pending: the user approves it in the app (Plugins › the plugin › Set Up…). If it fails again, say what the detail says instead of retrying.
Finish with what they can do now, for example "gõ: làm phụ đề cho video này" or "đọc lồng tiếng đoạn này".
5. Drive a plugin's panel when no command does the job
Prefer the typed command (voice speak, captions generate, beats detect, a plugin skill's own script), then
plugins run ACTION. Only a plugin with nothing else needs its view:
bashcut plugins list --viewsfinds it.bashcut plugins view PLUGIN --view VIEWgives its components as JSON: read it instead of a screenshot.bashcut plugins view-event PLUGIN --view VIEW --node ID [--type change|submit|select|action --value V]acts and returns the new components: no secondviewcall. A colour picker takes#RRGGBB, a font picker a font name.--open(orplugins show-view) only when the user should see it.plugins invoke CAPABILITY --params JSONruns a capability raw (a job) when no command wraps it.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

