setup
Skill180 starsChanged 8 months agoMITView on GitHub
Setup and launch GenLayer Studio with Docker Compose
- Reads credentials
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 repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- cloudflare-cliSkill
- create-prSkill
- discord-community-feedbackSkill
- hosted-studio-debugSkill
- integration-testsSkill
- linear-issue-fixerSkill
- manage-api-keysSkill
- manage-tiersSkill
- sentry-issue-fixerSkill
- studio-dbSkill
- unit-testsSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are 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.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 71
If you have the GenLayer CLI installed:
“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
Setup GenLayer Studio
Setup and launch the entire GenLayer Studio development environment.
Prerequisites
- Docker installed and running
Setup Steps
1. Verify Docker is Running
docker info > /dev/null 2>&1 && echo "Docker is running" || echo "Docker is not running"2. Start All Services
docker compose up -dThis starts:
- Frontend: Vue 3 app on http://localhost:8080
- Backend: Flask JSON-RPC API on http://localhost:4000
- PostgreSQL: Database on port 5432
- WebDriver: Selenium service for contract sandboxing
3. Initialize Database (first time only)
genlayer initOr manually:
docker exec -it genlayer-studio-backend-1 alembic upgrade head4. Verify Services
# Check all containers are running
docker compose ps
# Test backend health
curl -s http://localhost:4000/health | jq .
# Open frontend
open http://localhost:8080Common Commands
| Command | Description |
docker compose up -d | Start all services (detached) |
docker compose down | Stop all services |
docker compose down -v | Stop and clear all data |
docker compose logs -f | Tail all logs |
docker compose logs -f backend | Tail backend logs |
docker compose restart backend | Restart specific service |
Alternative: GenLayer CLI
If you have the GenLayer CLI installed:
genlayer up # Start all services
genlayer init # Initialize database
genlayer down # Stop all servicesTroubleshooting
Port Already in Use
# Find what's using port 8080
lsof -i :8080
# Or use different ports in .envDatabase Connection Issues
# Check database is ready
docker compose logs db
# Reset database
docker compose down -v && docker compose up -dContainer Won't Start
# Check logs for specific service
docker compose logs backend
# Rebuild containers
docker compose build --no-cache
docker compose up -dDoes it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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.

